waterdata
type: Catalog
description: Water Data Portal for the World Bank
language: en
modified: 2021-02-15T15:15:40

Sri Lanka - Land Use Land Cover LULC (Change) Mapping
type: Dataset
description: Land cover/land use (LULC) maps for the catchments of Kelani Ganga and Attanagalu Oya, and LULC Change comparing 1991, 2001 with the recent LCLU (2012). Classification includes two thematic levels (national 7-class scheme and 15 land cover/land use classes according to user definitions). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
modified: 2020-05-21T12:25:12
issued: 2020-03-16T14:20:05

Bangladesh - Impact Evaluation of the Integrated Agricultural Productivity Project 2015
type: Dataset
description: Over the last two decades, Bangladesh has achieved impressive growth and poverty reduction. Its agricultural sector grew at a rate of 4.8 percent between 1990 and 2005. But poverty-related food insecurity is widespread, bolstered by the soaring prices of key staples. The country has a poverty rate of over 30% and the highest incidence of malnutrition of all countries: in 2008, Bangladesh’s food insecure population was estimated at 65.3 million. The Government of Bangladesh is pushing for increased use of technology and more intensive agricultural practices to improve food security and sustain economic growth. To that end, IAPP sponsors research to develop improved crop varieties and to promote adoption of improved varieties and production practices through the farmer field schools approach (FFS). The IAPP project is designed to improve the income and livelihoods of crop, fish, and livestock farmers in Bangladesh. It consists of four separate components: Component 1: Technology Generation and Adaptation; Component 2: Technology Adoption; Component 3: Water Management; Component 4: Project Management. The Impact Evaluation (IE) of the IAPP project will contribute to understanding the drivers of technology adoption through two lenses. First, the overall project approach will be evaluated using a randomized phase-in of project villages (referred to as the “Overall Project Evaluation”). The Overall Project Evaluation will measure the effects of Components 2 and 3 of IAPP. All sub-components will be measured, with special focus on the crops and fisheries sub-components. Second, innovations will be tested through a randomized control trial to understand what approach to demonstration plots can deliver higher results (referred to as the “Demonstration Plot Evaluation”). The Demonstration Plot Evaluation is designed to test a fundamental question about technology adoption: to what extent can “learning by doing” increase technology adoption over “learning by observing”? It wi…
contact point: Organization
  fn: Florence Kondylis; DIME, Development Research Group, World Bank, Maria Jones; DIME, Development Research Group, World Bank, Daniel Stein; DIME, Development Research Group, World Bank
modified: 2020-05-21T11:27:53
issued: 2020-03-16T12:02:48

Lake Titicaca Water Quality
type: Dataset
modified: 2020-05-21T11:57:00
issued: 2020-03-16T14:21:18
description: Water Quality Analysis for Lake Titicaca (2003-2011) measured by: a) Total suspended matter (TSM) and/or turbidity TSM is provided in the unit milligram per litre [mg/l], turbidity as Nephelometric Turbidity Unit [NTU] or (more up to date) Formazine Turbidity Unit [FTU]. b) Phytoplankton and Chlorophyll a: Chlorophyll a is one essential pigment included in phytoplankton cells and therefore a measure of phytoplankton. Common unit of chlorophyll is [µg/l]. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

Bangladesh - Impact Evaluation of the Integrated Agricultural Productivity Project 2014
type: Dataset
modified: 2020-05-21T11:27:51
description: The IAPP project is designed to improve the income and livelihoods of crop, fish, and livestock farmers in Bangladesh. It consists of four separate components: Component 1: Technology Generation and Adaptation; Component 2: Technology Adoption; Component 3: Water Management; Component 4: Project Management. The Impact Evaluation (IE) of the IAPP project will contribute to understanding the drivers of technology adoption through two lenses. First, the overall project approach will be evaluated using a randomized phase-in of project villages (referred to as the “Overall Project Evaluation”). The Overall Project Evaluation will measure the effects of Components 2 and 3 of IAPP. All sub-components will be measured, with special focus on the crops and fisheries sub-components. Second, innovations will be tested through a randomized control trial to understand what approach to demonstration plots can deliver higher results (referred to as the “Demonstration Plot Evaluation”). The Demonstration Plot Evaluation is designed to test a fundamental question about technology adoption: to what extent can “learning by doing” increase technology adoption over “learning by observing”? It will compare the relative effectiveness of single demonstration plots (the standard approach) to more distributed demonstration strategies which allow more people to experiment with new technology. The Demonstration Plot Evaluation will focus on the crops sub-component.
contact point: Organization
  fn: Florence Kondylis DIME, Development Research Group, World Bank; Maria Jones DIME, Development Research Group, World Bank; Daniel Stein DIME, Development Research Group, World Bank
issued: 2020-03-16T13:22:25

Zambezi River Basin Land Use, Land Use Change and Soil Erosion
type: Dataset
issued: 2020-03-16T14:18:45
description: This dataset provides Land Use, Land Use Change and Soil Loss (Area: Shire sub basin) at 10m resolution. 1) Land use maps: covers land use for the years 2005 and 2010 and the resulting changes 2) Erosion map of 2010: Relative potential based on the Revised Universal Soil Loss Equation (RUSLE) erosion formula that uses information on: annual rainfall in 2010, soil type, slope, slope length, land use in 2010 and farming practices. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013
modified: 2020-05-21T12:38:26
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

Lake Titicaca Land Use and Land Use Changes
type: Dataset
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
description: Lake Titicaca sub-basin land use of the years 2003 and 2010; and the land use changes between these years with thirteen Land Use classes defined. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013
modified: 2020-05-21T11:56:58
issued: 2020-03-16T14:19:36

Sri Lanka - Historical Flood Mapping
type: Dataset
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
modified: 2020-05-21T12:25:09
issued: 2020-03-16T14:20:26
description: Flood extents and maximum flood maps for flood events of May 2003, Dec 2007, Nov-Dec 2008, May 2010, and Dec 2014, based on a time series of EO SAR data and optical data. The satellite imagery used, and validation and accuracy measures vary by flood event. Please consult the resources for details from respective flood events. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.

Indonesia - Village Law: Technical Evaluation of Infrastructure Built with Village Funds 2018
type: Dataset
modified: 2020-05-21T11:51:26
contact point: Organization
  fn: World Bank
description: The Village Law, enacted in 2014, mandated the transfer of funds to villages with the goals of reducing poverty and improving living standards in villages through village-led development and community empowerment. Village Law (VL) builds on Indonesia’s 17-year history of participatory and community-driven development (CDD) approaches such as under the Kecamatan Development Project (KDP) and Program Nasional Permberdayaan Masyarakat (PNPM). The changes consequent upon the closing down of PNPM and its replacement by Village Law transfers (Dana Desa and Alokasi Dana Desa) and implementation arrangements, form a critical backdrop to the report titled: Indonesia Village Law: Technical Evaluation of Infrastructure Built with Village Funds. The Technical Evaluation of Village Infrastructure evaluates the development process, quality, costs, and operations and maintenance (O&M) of 168 village infrastructure projects (VIPs) with budgets greater than USD 10,000, from 39 villages in six provinces. The five types of projects assessed were: A) buildings (33); B) bridges (15); C) water supply (14); D) roads and drainage (94); and E) irrigation (12). Assessors evaluated the physical structures and related files (budgets, design, approvals, etc.) implementation methods, and operations and maintenance (O&M) procedures. The technical evaluation covers VIPs in the same provinces as in 2012 under the PMPN program. This collection of data is comprised of audit results from seven field tools, plus one administrative data file. The technical evaluation team collected data on five types of infrastructure projects, with total observations at 168, as described above. The seven field tools are included in this data deposit, for reference. Data were originally collected and assembled as eight data files; one for administrative data and one for each of the seven field tools. The technical evaluation team stored data primarily in binary format, using hundreds of variables per field tool to accom…
issued: 2020-03-16T11:58:33

Nigeria - Feed the Future Nigeria Livelihoods Project 2015
type: Dataset
issued: 2020-03-16T13:15:18
contact point: Organization
  fn: Gautam Bastian World Bank ; Sreelakshmi Papineni World Bank
description: Feed the Future Nigeria Livelihoods Project (FNLP) is a multi-component development project based on the graduation model pioneered by Bangladesh Rural Advancement Committee (BRAC) that intends to help 42,000 very poor households across rural communities of northern Nigeria’s Sokoto and Kebbi states, and the Federal Capital Territory (FCT). FNLP is a 5-year program implemented by Catholic Relief Services (CRS). Both the program and the impact evaluation are funded by United States Agency for International Development (USAID). This program approach is founded on an agriculture-led growth strategy that is expected to help vulnerable families diversify their income and grow assets while the community is strengthened by improving nutrition, water sanitation, and hygiene. The most vulnerable families receive cash transfers. A caseworker-led livelihood mentoring scheme also matches households with the resources they need to engage effectively in the local economy and break free from the cycle of poverty and malnutrition. The impact evaluation, led by The World Bank’s Africa Gender Innovation Lab (GIL), is being conducted in Kebbi state in North-West Nigeria and will evaluate the impact of the overall program as well as two experiments that focus on the impact of the cash transfers and the caseworker mentoring scheme. Baseline data was collected for the FNLP starting in May 2015.
modified: 2020-05-21T12:09:40

Usumacinta River Basin - Water Quality Analysis
type: Dataset
description: The products within the water quality service provide the parameters (a) Chlorophyll concentration (CHL), (b) Total suspended matter concentration (TSM), (c) Dissolved organic matter absorption (CDOM), and (d) Signal depths (Z90). They are provided as monthly averages in raster data sets in two different resolutions: 300m and 1200m. Overview images are provided which show the monthly averages of each year. Besides the image data, times series plots are delivered showing the evolution of the respective parameters for the areas of interest (AOIs). Finally, matrix plots are provided that show the values for each month and year for interpretation of the yearly evolution of the parameters (heatmaps). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
modified: 2020-05-21T12:34:28
issued: 2020-03-16T14:20:31
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

Rwanda - Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2014
type: Dataset
contact point: Organization
  fn: Florence Kondylis The World Bank; Maria Jones The World Bank; Saahil Karpe The World Bank
description: Agriculture is a major engine of the Rwandan economy and remains a priority sector in the Government of Rwanda's goals of reducing poverty and achieving food security through commercialized agriculture. Sustainable improvements to agricultural productivity is the only way to achieve this target, calling for investments in participatory land management, water harvesting and intensified irrigation of the hillsides. The Land Husbandry, Water Harvesting and Hillside Irrigation (LWH) project has been working to meet these goals. Evaluating the overall impact of LWH is important to allow Ministry of Agriculture and Animal Resources (MINAGRIs) to effectively plan for its future activities. LWH covers a relatively small area of 30,250 ha, eventually affecting approximately 20 watersheds. From the perspective of MINAGRI, LWH can be seen as a pilot program for comprehensive agricultural overhaul. LWH includes major infrastructure investments such as hillside terracing, irrigation dams, and post-harvest storage. The project aims to operationalize MINAGRIs strategy to encourage mono cropping of cash crops, as opposed to the traditional system of inter-cropping for household consumption. LWH has been rolled out in three phases: implementation in the four Phase 1A sites began in 2010, in the three Phase 1B sites in 2012, and in the Phase 1C sites in late 2013. There have been five surveys for this project including baselines and four follow-ups. There were two sample groups: 1B and 1C. For the 1B sample group, the baseline was conducted in 2012, and follow-up surveys in 2013, 2014, and 2016. For the 1C sample, the baseline was implemented in 2014, and a follow-up in 2016. The data file documented here is from the third follow-up survey. The datasets from the baseline, the first, the second, and the fourth follow-up surveys are also published in the Microdata Library with the following study IDs: 1) The baseline, the first and the second follow-up surveys: RWA_2012-2016_LWHIE-BL-F…
issued: 2020-03-16T13:17:05
modified: 2020-05-21T12:16:11

Sri Lanka - Digital Elevation Model
type: Dataset
modified: 2020-05-21T12:25:01
issued: 2020-03-16T14:19:23
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
description: Digital Elevation Model (DEM) at 20m and precise DEM at 0.5m for the catchments of Kelani Ganga and Attanagalu Oya. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.

Bangladesh - Poverty and Groundwater Salinity Survey 2016
type: Dataset
contact point: Organization
  fn: Monica Yanez-Pagans World Bank
modified: 2020-05-21T11:28:13
issued: 2020-03-16T13:20:08
description: The main objective of the Bangladesh Poverty and Groundwater Salinity Survey (BPGSS) 2016 is to understand the linkages between groundwater salinity and poverty in coastal areas in Bangladesh. It is also to assess the extent to which high water salinity might be associated with poor health outcomes among women and children, and identify potential coping and adaptation mechanisms, which households might be using to address high water salinity in these areas.

Lake Malawi (Zambezi River Basin) - Small Water Bodies
type: Dataset
issued: 2020-03-16T14:21:53
description: Small water bodies inventory and water volume, covering the full Southern Province of Zambia, and includes of 1022 small reservoirs identified with optical satellite data from the Landsat5 satellite in the years 2010 and 2011. These locations are also available in excel file with LatLong coordinates for field inspection. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
modified: 2020-05-21T11:56:56

Ethiopia - GIS Dataset
type: Dataset
modified: 2020-05-21T11:42:28
description: This dataset includes rivers, towns, lakes, basins and demographic and climate indicators.
contact point: Organization
  fn: World Bank Group
issued: 2020-03-16T13:16:04

Indonesia - WSP Global Scaling Up Rural Sanitation Access (TSSM) Impact Evaluation, Baseline and Endline Surveys 2009-2011
type: Dataset
description: In response to the preventable threats posed by poor sanitation and hygiene, in December 2006 the Water and Sanitation Program (WSP) launched two related large-scale projects, Global Scaling Up Handwashing1 and Global Scaling Up Rural Sanitation. Th ese hygiene and sanitation interventions are designed to improve the health and welfare outcomes for millions of poor people. Local and national governments are implementing these projects with technical support from WSP. The goal of Global Scaling Up Rural Sanitation is to reduce the risk of diarrhea and therefore increase household productivity by stimulating demand for sanitation in the lives of people in India, Indonesia, and Tanzania. Th e project approach demands involvement from communities, local government, and the private sector. It aims to trigger the desire for an open-defecation free community by raising collective awareness of the open defecation problem. Facilitators are sent to communities to initiate participatory analysis of the communities’ existing sanitation practices, and the consequences and implications of such practices for themselves. Th is process is designed to catalyze collective community desire and action to become open defecation free (ODF). Th e community must forge their own plan for making this happen with only limited follow-up support and monitoring from the program. Communities claiming to have become ODF are verifi ed by local government agencies. ODF achievement by a community brings recognition and commendation from local and provincial governments. Th e project also seeks to stimulate the supply of appropriate sanitation products and services by conducting market research and training local artisans to build the relevant facilities. To measure the magnitudes of the impacts, the project is implementing randomized-controlled trial impact evaluations (IE) study in order to establish causal linkages between the intervention (treatment) and the outcomes of interest. Th e IE uses house…
issued: 2020-03-16T13:42:40
modified: 2020-05-21T11:51:37
contact point: Organization
  fn: Water and Sanitation Program World Bank

Bangladesh - Impact Evaluation of the Integrated Agricultural Productivity Project 2012
type: Dataset
description: Over the last two decades, Bangladesh has achieved impressive growth and poverty reduction. Its agricultural sector grew at a rate of 4.8 percent between 1990 and 2005. But poverty-related food insecurity is widespread, bolstered by the soaring prices of key staples. The country has a poverty rate of over 30% and the highest incidence of malnutrition of all countries: in 2008, Bangladesh’s food insecure population was estimated at 65.3 million. The Government of Bangladesh is pushing for increased use of technology and more intensive agricultural practices to improve food security and sustain economic growth. To that end, the Integrated Agricultural Productivity Project (IAPP) sponsors research to develop improved crop varieties and to promote adoption of improved varieties and production practices through the farmer field schools approach (FFS). The IAPP project is designed to improve the income and livelihoods of crop, fish, and livestock farmers in Bangladesh. It consists of four separate components: Component 1: Technology Generation and Adaptation; Component 2: Technology Adoption; Component 3: Water Management; Component 4: Project Management. The Impact Evaluation (IE) of the IAPP will contribute to understanding the drivers of technology adoption through two lenses. First, the overall project approach will be evaluated using a randomized phase-in of project villages (referred to as the “Overall Project Evaluation”). The Overall Project Evaluation will measure the effects of Components 2 and 3 of IAPP. All sub-components will be measured, with special focus on the crops and fisheries sub-components. Second, innovations will be tested through a randomized control trial to understand what approach to demonstration plots can deliver higher results (referred to as the “Demonstration Plot Evaluation”). The Demonstration Plot Evaluation is designed to test a fundamental question about technology adoption: to what extent can “learning by doing” increase technology a…
modified: 2020-05-21T11:27:47
issued: 2020-03-16T13:22:21
contact point: Organization
  fn: Florence Kondylis DIME, Development Research Group, World Bank; Maria Jones DIME, Development Research Group, World Bank; Daniel Stein DIME, Development Research Group, World Bank

Urban Flooding of Greater Dhaka in a Changing Climate - Building Local Resilience to Disaster Risk
type: Dataset
issued: 2020-03-16T14:20:51
contact point: Organization
  fn: World Bank Group
description: This dataset provides five flood scenarios for Greater Dhaka Area, with estimates of location-specific depth and duration of inundation, for extreme rainfall event in 2050. Intense rainfall floods Dhaka, Bangladesh, one of the world’s fastest-growing megacities, year in and year out. Low-lying flood plains, rivers, and canals that once drained water are gradually filling up as a result of indiscriminate urbanization, and now magnify, rather than help solve the problem. The climatic outlook for South Asia in the 21st century signals heavier and more erratic rainfall during the monsoon season, according to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change and the World Meteorological Organization. Thus, climate change may further aggravate Dhaka’s flood vulnerability. Dhaka needs to better manage its flood drainage infrastructure and strengthen the city’s climate-disaster resilience and adaptive capacity. But climate-smart policies require local planners to better understand the likely damage from current flooding, potential damage from climate-related risks, measures that can be taken to cope with current and future flooding as well as adaptation costs. In an effort to enhance such understanding and to provide input to development of adaptation policies, this research estimated location-specific depth and duration of inundation from extreme rainfall events by 2050 with or without climate change, discussed structural adaptation measures to cope with current and future flooding, evaluated the reduction in inundation resulting from implementing these measures, and estimated adaptation cost. Depth and duration of inundation in Greater Dhaka Area from extreme rainfall events by 2050 with or without climate change under different scenarios at ward/ thana-level have been summarized in the Excel Workbook “Urban Flooding of Greater Dhaka in 2050” Detailed Study Area: The dataset covers Greater Dhaka Area: Eastern Dhaka, Western Dhaka-Goranchatbari, …
modified: 2020-05-21T12:34:00

Vietnam - WSP Global Scaling up Handwashing Behavior Impact Evaluation, Baseline and Endline Surveys 2009-2011
type: Dataset
modified: 2020-05-21T12:36:02
issued: 2020-03-16T13:45:16
contact point: Organization
  fn: Water and Sanitation Program World Bank
description: In December 2006, in response to the preventable threats posed by poor sanitation and hygiene, the Water and Sanitation Program (WSP) launched Global Scaling Up Handwashing and Global Scaling Up Rural Sanitation1 to improve the health and welfare outcomes for millions of poor people. Local and national governments implement these large-scale projects with technical support from WSP. Handwashing with soap at critical times-such as after contact with feces and before handling food-has been shown to substantially reduce the incidence of diarrhea. It reduces health risks even when families do not have access to basic sanitation and water supply. Despite this benefit, rates of handwashing with soap at critical times are very low throughout the developing world. Global Scaling Up Handwashing aims to test whether handwashing with soap behavior can be generated and sustained among the poor and vulnerable using innovative promotional approaches. The goal of Global Scaling Up Handwashing is to reduce the risk of diarrhea and therefore increase household productivity by stimulating and sustaining the behavior of handwashing with soap at critical times in the lives of 5.4 million people in Peru, Senegal, Tanzania, and Vietnam, where the project has been implemented to date. In an effort to induce improved handwashing behavior, the intervention borrows from both commercial and social marketing fields. This entails the design of communications campaigns and messages likely to bring about desired behavior changes and delivering them strategically so that the target audiences are “surrounded” by handwashing promotion via multiple channels. One of the handwashing project's global objectives is to learn about and document the long-term health and welfare impacts of the project intervention. To measure magnitude of these impacts, the project is implementing a randomized-controlled impact evaluation (IE) in each of the four countries to establish causal linkages between the interventio…

Senegal - WSP Global Scaling up Handwashing Behavior Impact Evaluation 2009-2011
type: Dataset
modified: 2020-05-21T12:17:31
contact point: Organization
  fn: Christian Borja-Vega World Bank; Bertha Briceno Inter-American Development Bank; Vicente Garcia Columbia University; Water and Sanitation Program World Bank
description: Hygiene information and practices play a critical role in preventing diseases, particularly among children. Hygiene behaviors practiced in the household have been linked to development outcomes such as socio-emotional skills. The WSP Global Scaling up Handwashing Behavior Impact Evaluation (WSPIE) 2009-2011 was conducted in Senegal, where the randomized design suffered from contamination between comparison groups. The variations in exposure and intensity to hygiene information campaigns captured in the surveys were used to understand contamination biases. Such variations were interacted with the presence of household communication assets to explore potential effects on children’s socio-emotional scores. In the presence of contamination biases, the study exploited the longitudinal sample of children in the surveys to reduce time-dependent biases. For robustness, statistical matching was applied between the impact evaluation surveys and Demographic and Health Surveys conducted in 2008 and 2011. Socio-emotional outcomes were the imputed into Demographic and Health surveys to expand sample sizes. By applying matching techniques and imputing outcomes into a larger sample, impacts were non-negligible. Double-difference estimates showed that children’s socio-emotional scores were higher when intervention status was interacted with the presence of communication assets within households. Without the presence of communication assets in the households the impacts were close to zero. Evaluating the effect of hygiene campaigns on children’s socio-emotional skills is challenging because of the biases from contamination that exist when information flows between comparison groups. Targeted hygiene information to the poorest households is relevant for reducing risks of recurrent infections and enables better conditions for socio-emotional development of children.
issued: 2020-03-16T13:33:46

Senegal - Stormwater Management and Climate Change Adaptation Impact Evaluation 2014
type: Dataset
issued: 2020-03-16T12:03:19
modified: 2020-05-21T12:17:24
contact point: Organization
  fn: Carol Newan Trinity College of Dublin; Tara Mitchell Trinity College of Dublin; Marcus Holmlund DECIE, World Bank
description: The Senegal Stormwater Management and Climate Change Adaptation Impact Evaluation, Baseline Survey (SMCCAIE-BL) 2014 was collected for DIME’s impact evaluation on community engagement mechanisms in the preservation of public spaces and drainage infrastructures. It is carried out in the context of the World Bank-assisted Stormwater Management and Climate Change Adaptation Project (PROGEP), which is implemented by the Dakar Municipal Development Agency (ADM) in Senegal. It will inform strategies through which PROGEP and similar projects can achieve their community engagement objectives, which are vital to the sustainability and return on these investments. Furthermore, it will contribute to our understanding of community directed development (CDD) interventions in urban settings. Data collected through the IE, including at baseline, will improve our understanding of populations living in PROGEP areas and inform the better targeting of project activities and other investments in these and similar settings.

Caribbean Islands - Land Use Land Cover (LULC)
type: Dataset
modified: 2020-05-21T11:34:16
issued: 2020-03-16T14:23:23
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
description: Land Use/Land Cover Mapping including water bodies, rivers and streams, for St. Lucia, Grenada, and St. Vincent and the Grenadines. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.

Mozambique Channel - Coral Reef and Oil Spill Mapping
type: Dataset
issued: 2020-03-16T14:24:15
description: This dataset provides coral reef habitat mapping (detailed geomorphological zonation) and change detection maps spanning 2000-2011. First data output is: Oil spills monitored twice a week during 6 months (from July 1st to January 3rd 2011) leading to a total of 324 products (in netcdf/cdf formats along with png snapshots), including: Chlorophyll concentration, Low-Res Sea Surface Temperature, Hi-Res Sea Surface Temperature, Total Suspended Matter, Water Transparency and Significant Wave Height. Second data output is: Assessment of coral reef health and evolution focusing on four sites of interest (Aldabra, Tulear, Mayotte, Rodrigues). This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013.
modified: 2020-05-21T12:06:09
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

Tanzania - Impact Evaluation of Scaling-up Handwashing and Rural Sanitation Behavior Projects in Tanzania 2012
type: Dataset
description: The association between hygiene, sanitation and health is well documented, yet thousands of children die each year from exposure to contaminated fecal matter. At the same time, evidence on the effectiveness of at-scale behavior change interventions to improve sanitation and hygiene practices is limited. In response to the preventable threats posed by poor sanitation and hygiene, the World Bank's Water and Sanitation Program (WSP) has launched two large projects, Global Scaling Up Handwashing and Global Scaling Up Rural Sanitation, to improve the health and welfare outcomes for millions of people in developing nations. These projects have been implemented by local and national governments with technical support from WSP. Researchers from the World Bank and Inter-American Development Bank studied these two projects impemented in rural Tanzania, with the objective of tracing the causal chain from hygiene and sanitation promotion to changes in child health outcomes. The research team specifically tested for potential interaction effects of combining handwashing and sanitation interventions. The study was designed as an effectiveness trial to provide evidence for policymakers and government implementing agencies planning at-scale campaigns. From mid-2009 to early 2011, two interventions were rolled out in ten districts of Tanzania following a factorial experimental design. 181 rural wards included in the study were divided into four groups to receive the handwashing intervention alone, the sanitation intervention alone, both the handwashing and sanitation, or neither intervention (control group). A baseline was planned for early 2009 but was aborted due to logistical field challenges. Since random assignment of implementation was adhered to, the study continued and researchers conducted an endline survey in 2012, approximately one year after the conclusion of the program. The survey included 3,619 households and 5,768 children under five years old.
contact point: Organization
  fn: Sebastian Martinez Inter-American Development Bank; Aidan Coville World Bank; Bertha Briceno Inter-American Development Bank
modified: 2020-05-21T12:28:36
issued: 2020-03-16T13:41:06

Zambezi River Basin Water Quality and Temperature
type: Dataset
modified: 2020-05-21T12:38:28
description: Water quality and temperature for Lake Malawi, Lake Malombe and Lake Chilwa, derived from MERIS FR images for 2010-2011 using the proprietary WISP algorithm. These parameters are: - Chlorophyll-a (Chl-a) - Total Suspended Matter (TSM) - Colored Dissolved Organic Matter (CDOM) - Kd averaged over the spectrum (KDP) The results were resampled to a spatial resolution of 300m. Selected Water Surface Temperature (SST) data is also included here as an additional product. This dataset is one of the products produced under the 2008-2012 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2013
issued: 2020-03-16T14:21:28
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

Rwanda - Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2016
type: Dataset
modified: 2020-05-21T12:16:12
description: Agriculture is a major engine of the Rwandan economy and remains a priority sector in the Government of Rwanda's goals of reducing poverty and achieving food security through commercialized agriculture. Sustainable improvements to agricultural productivity is the only way to achieve this target, calling for investments in participatory land management, water harvesting and intensified irrigation of the hillsides. The Land Husbandry, Water Harvesting and Hillside Irrigation (LWH) project has been working to meet these goals. Evaluating the overall impact of LWH is important to allow Ministry of Agriculture and Animal Resources (MINAGRIs) to effectively plan for its future activities. LWH covers a relatively small area of 30,250 ha, eventually affecting approximately 20 watersheds. From the perspective of MINAGRI, LWH can be seen as a pilot program for comprehensive agricultural overhaul. LWH includes major infrastructure investments such as hillside terracing, irrigation dams, and post-harvest storage. The project aims to operationalize MINAGRIs strategy to encourage mono cropping of cash crops, as opposed to the traditional system of inter-cropping for household consumption. LWH has been rolled out in three phases: implementation in the four Phase 1A sites began in 2010, in the three Phase 1B sites in 2012, and in the Phase 1C sites in late 2013. There have been five surveys for this project including baselines and four follow-ups. There were two sample groups: 1B and 1C. For the 1B sample group, the baseline was conducted in 2012, and follow-up surveys in 2013, 2014, and 2016. For the 1C sample, the baseline was implemented in 2014, and a follow-up in 2016. The data file documented here is from the fourth follow-up survey. The datasets from the baseline, the first, the second, and the third follow-up surveys are also published in the Microdata Library with the following study IDs: 1) The baseline, the first and the second follow-up surveys: RWA_2012-2016_LWHIE-BL-F…
contact point: Organization
  fn: Florence Kondylis The World Bank; Maria Jones The World Bank; Saahil Karpe The World Bank
issued: 2020-03-16T13:17:09

Tajikistan - Survey of Water, Sanitation, and Hygiene for Households and Schools 2017
type: Dataset
description: This study provides Microdata for household and school surveys collected to support the 2017 Poverty Diagnostic of the Drinking Water, Sanitation and Hygiene (WASH) Sector. The diagnostic aimed to assess and visualize drinking water, sanitation, and hygiene service conditions of communities and households in the bottom 40 percent of the income distribution. The primary survey data comes from two nationally representative surveys that were carried out for this study. The Household WASH Survey and the School WASH Survey covered about 3,000 households and 300 primary/secondary schools, respectively, and were conducted in the same primary sampling units following a household listing exercise. The school survey covers basic WASH conditions in schools, whereas the household survey contains information on the availability and quality of WASH services, costs incurred for meeting WASH needs, the health and other impacts on household wellbeing, and willingness to pay for improved services.
issued: 2020-03-16T13:16:35
modified: 2020-05-21T12:27:39
contact point: Organization
  fn: Emcet Oktay Tas World Bank

Tuvalu - Meteorologic and Oceanographic Conditions
type: Dataset
modified: 2020-05-21T12:31:51
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group
issued: 2020-03-16T14:21:42
description: This dataset is for an area from Vanuatu to Samoa between 2007 and 2012, mapping meteorologic and oceaonographic conditions. Meteorologic parameters include: Hurricanes, wave heights, air temperature, and wind fields. Oceanographic parameters include: Chlorophyll-a concentration of case 1 and 2 waters (CHL), total suspended matter (TSM), water transparency, sea surface temperature. Yearly averages and seasonal averages are considered. Wet season is considered from November to April, dry season is considered from May to October. Maps highlight the possible link between Funafuti conditions and the wider meteorological and oceanographic environment. Meteorological information is delivered in PNG format. This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.

Rwanda - Land Husbandry, Water Harvesting and Hillside Irrigation Project Impact Evaluation 2012-2016
type: Dataset
issued: 2020-03-16T13:17:07
modified: 2020-05-21T12:16:09
description: Agriculture is a major engine of the Rwandan economy and remains a priority sector in the Government of Rwanda's goals of reducing poverty and achieving food security through commercialized agriculture. Sustainable improvements to agricultural productivity is the only way to achieve this target, calling for investments in participatory land management, water harvesting and intensified irrigation of the hillsides. The Land Husbandry, Water Harvesting and Hillside Irrigation (LWH) project has been working to meet these goals. Evaluating the overall impact of LWH is important to allow Ministry of Agriculture and Animal Resources (MINAGRIs) to effectively plan for its future activities. LWH covers a relatively small area of 30,250 ha, eventually affecting approximately 20 watersheds. From the perspective of MINAGRI, LWH can be seen as a pilot program for comprehensive agricultural overhaul. LWH includes major infrastructure investments such as hillside terracing, irrigation dams, and post-harvest storage. The project aims to operationalize MINAGRIs strategy to encourage mono cropping of cash crops, as opposed to the traditional system of inter-cropping for household consumption. LWH has been rolled out in three phases: implementation in the four Phase 1A sites began in 2010, in the three Phase 1B sites in 2012, and in the Phase 1C sites in late 2013. There have been five surveys for this project including baselines and four follow-ups. There were two sample groups: 1B and 1C. For the 1B sample group, the baseline was conducted in 2012, and follow-up surveys in 2013, 2014, and 2016. For the 1C sample, the baseline was implemented in 2014, and a follow-up in 2016. The data files documented here are from the baseline, the first follow-up, and the second follow-up surveys. The datasets from the third and the fourth follow-up surveys are also published in the Microdata Library with the following study IDs: 1) The third follow-up: RWA_2014_LWHIE-F3_v01_M 2) The fourth follow-…
contact point: Organization
  fn: Florence Kondylis The World Bank; Maria Jones The World Bank; Saahil Karpe The World Bank

Private Participation in Infrastructure (PPI) Project Database - Water Sector
type: Dataset
modified: 2021-02-15T15:15:40
contact point: Organization
  fn: World Bank
keyword: investment
keyword: private sector
keyword: infrastructure
keyword: sewerage
keyword: PPP
description: The Private Participation in Infrastructure (PPI) Project Database has data on over 6,400 infrastructure projects in 137 low- and middle-income countries. The database is the leading source of PPI trends in the developing world, covering projects in the energy, transport, water and sewerage, ICT backbone, and Municipal Solid Waste (MSW) sectors (MSW data includes projects since 2008) Projects include management or lease contracts, concessions, greenfield projects, and divestitures.
keyword: water
issued: 2021-02-15T15:15:16

Covid-19 Response Haiti - mWater Data Console
type: Dataset
modified: 2021-01-26T13:41:36
contact point: Organization
  fn: World Bank
keyword: access
description: The purpose of this page is to follow the state and offers washes hands of identified and installed in response to the epidemic Covid 19. L'objectif de cette page est de suivre l'état et l'offre des stations de lavage des mains identifiées et installées en réponse à l'épidémie de COVID 19.
keyword: covid19
keyword: water points
issued: 2021-01-26T12:55:54
keyword: WASH
keyword: water supply

Peru - WSP Global Scaling up Handwashing Behavior Impact Evaluation, Baseline and Endline Surveys 2009-2011
type: Dataset
modified: 2020-05-21T12:13:12
description: In Peru, the handwashing project targets mothers/caregivers of children under five years old, and it is aimed at improving handwashing with soap practices. Children under five represent the age group most susceptible to diarrheal disease and acute respiratory infections, which are two major causes of childhood morbidity and mortality in less developed countries. These infections, usually transferred from dirty hands to food or water sources, or by direct contact with the mouth, can be prevented if mothers/caregivers wash their hands with soap at critical times (such as before feeding a child, cooking, eating, and after using a toilet or changing a child’s diapers). In an effort to improve handwashing behavior, the intervention borrows from both commercial and social marketing fields. This entails the design of communications campaigns and messages likely to bring about the desired behavior changes, and delivering them strategically so that the target audiences are “surrounded” by handwashing promotion. Some key elements of the intervention include: • Key behavioral concepts or triggers for each target audience • Persuasive arguments stating why and how a given concept or trigger will lead to behavior change, and • Communication ideas to convey the concepts through many integrated activities and communication channels. The objective of the IE is to assess the effects of the project on individual-level handwashing behavior and practices of caregivers and children. By introducing exogenous variation in handwashing promotion (through randomized exposure to the project), the IE also addresses important issues related to the effect of intended behavioral change on child health and development outcomes. In particular, it provides information on the extent to which improved handwashing behavior impacts infant health and welfare.
contact point: Organization
  fn: Water and Sanitation Program World Bank
issued: 2020-03-16T13:43:37

India - WSP Global Scaling Up Rural Sanitation Access (TSSM) Impact Evaluation, Madhya Pradesh State, Baseline and Endline Surveys 2009-2011
type: Dataset
issued: 2020-03-16T13:37:25
contact point: Organization
  fn: Water and Sanitation Program World Bank; Network for Engineering and Economics Research and Management NEERMAN
description: In India, WSP's Global Scaling Up Rural Sanitation Program is supporting the Government of India's Total Sanitation Campaign (TSC) in two states: Himachal Pradesh and Madhya Pradesh. TSC is an ambitious countrywide, scaled-up rural sanitation program launched in 1999, which seeks to attain an Open-Defecation Free (ODF) India by 2012. In contrast to earlier, hardware-centric supply approaches to rural sanitation, TSC aims to generate demand for and adoption of improved sanitation at the community level. This impact evaluation aimed at better understanding what health and welfare impacts can be expected from rural sanitation improvements. Researchers hypothesized that promotion of rural sanitation through community-led total sanitation (CLTS) and social marketing campaigns will improve the health of the population especially children under five years old, a population that is vulnerable to unsafe disposal of feces in the environment and fecal-oral contamination. This impact evaluation consisted of baseline and endline surveys. In collaboration with the government of Madhya Pradesh, two districts Dhar and Khargone were selected. In each district, 80 Gram Panchayats were chosen and randomized into two groups: 1) treatment group (to participate in Total Sanitation Campaign immediately following the baseline survey) and 2) control group (to receive TSC after follow-up data collection). The baseline survey collected information from a representative sample of the population targeted by the intervention. This baseline survey was administered to approximately 2,000 households between June and July 2009. The survey provided information on the characteristics of household members, access to sanitation facilities, self-reported open defecation, prevalence of child diseases such as diarrhea and respiratory infection, and child growth and development. The endline survey was carried out in February-March 2011. It followed the same households sampled in baseline, as well as additio…
modified: 2020-05-21T11:49:57

Ghana - Off-grid Solar Installations Capacity & Quantity
type: Dataset
description: This dataset also consists of data on other non-grid connected solar installations/applications such as standalone solar solutions, lanterns, solar pumps, and solar water heaters. The capacities of the solar pumps and the water heaters in terms of their flow rates and volumes respectively are reported. This dataset was last updated in June 2014. NB: The number of solar lanterns distributed by the Ministry of Energy And Petroleum(MOEP) is not given but a total capacity of those lantern distributed was 42kW. Citation: Ghana Energy Commission & Negawatt challenge. A curated list of datasets for the World Bank Negawatt Challenge competition in Accra and Nairobi cities: https://datahub.io/organization/negawatt-challenge
contact point: Organization
  fn: World Bank Group
modified: 2020-05-21T11:45:21
issued: 2020-03-16T13:14:53

Bangladesh - Impact Evaluation of the Integrated Agricultural Productivity Project 2013
type: Dataset
issued: 2020-03-16T13:22:19
description: The IAPP project is designed to improve the income and livelihoods of crop, fish, and livestock farmers in Bangladesh. It consists of four separate components: Component 1: Technology Generation and Adaptation; Component 2: Technology Adoption; Component 3: Water Management; Component 4: Project Management. The Impact Evaluation (IE) of the IAPP project will contribute to understanding the drivers of technology adoption through two lenses. First, the overall project approach will be evaluated using a randomized phase-in of project villages (referred to as the “Overall Project Evaluation”). The Overall Project Evaluation will measure the effects of Components 2 and 3 of IAPP. All sub-components will be measured, with special focus on the crops and fisheries sub-components. Second, innovations will be tested through a randomized control trial to understand what approach to demonstration plots can deliver higher results (referred to as the “Demonstration Plot Evaluation”). The Demonstration Plot Evaluation is designed to test a fundamental question about technology adoption: to what extent can “learning by doing” increase technology adoption over “learning by observing”? It will compare the relative effectiveness of single demonstration plots (the standard approach) to more distributed demonstration strategies which allow more people to experiment with new technology. The Demonstration Plot Evaluation will focus on the crops sub-component.
contact point: Organization
  fn: Florence Kondylis DIME, Development Research Group, World Bank; Maria Jones DIME, Development Research Group, World Bank; Daniel Stein DIME, Development Research Group, World Bank
modified: 2020-05-21T11:27:49

Usumacinta River Basin - Land Cover Land Use Mapping (LCLU)
type: Dataset
description: This dataset provides Land Cover Land Use (LCLU) in Usumacinta river basin (Mexico). This dataset is one of the products produced under the 2014-2016 World Bank (WBG) European Space Agency (ESA) partnership, and is published in the partnership report: Earth Observation for Sustainable Development, June 2016.
modified: 2020-05-21T12:34:27
issued: 2020-03-16T14:21:46
contact point: Organization
  fn: Other International Organization|Private Firms|World Bank Group

https://wbwaterdata.org/catalog.xml
type: PagedCollection
items per page: 100
total items: 36

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/PER_2009-2011_WSP-IE_v01_M_v01_A_PUF

2B. GeoTIFF: Lake Titicaca Sub-basin - Land Use 2010
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2b-satellitedata-landuse2010.zip
format: GeoTIFF

2A. Total Suspended Matter (TSM) Maps (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/2a_tsm_maps.zip
description: Maps (.png) of Monthly Means and Single Day TSM Levels
format: ZIP

Ready Maps for Printing: Small Reservoirs Basemap, Timeseries and ASAR-Automated Classification
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143195/geospatial/ESA/ESA-LakeMalawi/1_SMALL_RESERVOIRS/a_maps2print.zip
description: These are PDF-maps produced using the attached datasets. It is recommended to review these maps in order to navigate better your raw data needs from the underlying datasets.
format: ZIP

Ready Maps for Printing: Land Use (2005-2010), Soil Loss and Soil Erosion
type: Distribution
format: ZIP
description: These are PDF-maps produced using the attached datasets. It is recommended to review these maps in order to navigate better your raw data needs from the underlying datasets.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143221/geospatial/ESA/ESA-LakeMalawi/3_LANDUSE_EROSION/maps2print.zip

1C. Lake Titicaca Perimeter 2003
type: Distribution
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1c-laketiticacaperimeter2003.zip

Product Sheet: Precise DEM at 0.5m
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143337/geospatial/ESA/ESA-DRMSriLanka/c2_vaessa_product_sheet_precisedem.pdf
format: PDF
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.

3A. Lake Titicaca Sub-basin - Land Use Change 2003-2010
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/3a-printmaps-landusechange2003-2010.zip
format: TIFF
description: Ready Maps for Printing: TIFF and PDF

1B. ArcGIS Total Suspended Matter Map Editor
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/1b-arcgis-totalsuspendedmatter.zip
format: SHP ZIP
description: Please refer to the readme file to review the folder structure behind this dataset

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/3391

Land Use Map Data
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143221/geospatial/ESA/ESA-LakeMalawi/3_LANDUSE_EROSION/1_landusemaps.zip
description: Land Use Map Data include: DEM (Digital Elevation Model), Land Use 2005, Land Use 2010, and Soil Loss. Underlying data also include Shire sub basin AOI, POI (Places of Interest), and related administrative boundaries.
format: ZIP

1E. GeoTIFF: Lake Titicaca Sub-basin - Mosaic Landsat 2003
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1e-satellitedata-mosaiclandsat2003.zip
format: GeoTIFF

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/TZA_2012_SHRSBIE-EL_v01_M_v01_A_PUF

2B. TSM Satellite Images (GeoTIFF)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/2b_tsm_images.zip
description: Satellite Images (GeoTIFF) of Monthly Means and Single Day TSM Levels
format: ZIP

Ready Map for Printing: DEM at 0.5m
type: Distribution
format: OTHER

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/IND_2009_WSPIE_v01_M_v01_A_PUF

Shapefile: Land Cover Classification 2012
type: Distribution
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b5_vaessa_lc_classification_2012.zip

Dissolved organic matter absorption (CDOM) 2003-2011 at 300m (.KMZ)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143257/geospatial/ESA/ESA-Mexico/2_cdom_kmz.zip

Shapefile: Historical Flood Map - May 2003
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a5_vaessa_hfm_2003.zip
format: SHP ZIP
description: Data includes floot extent, maximum flood, and xml metadata

Land Cover Land Use (LCLU) Map
type: Distribution
format: JPEG

Ethiopia GIS Dataset
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/145080/scountryethinfrastructuregis-data-from-marianaeth-gis.zip
format: ZIP
media type: application/zip

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/TJK_2016_WASH_v01_M

Small Reservoirs Volume Timeseries (Change Over Time 5/2010-5/2011)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143195/geospatial/ESA/ESA-LakeMalawi/1_SMALL_RESERVOIRS/c_timeseries.zip
description: Volume Timeseries data monitor the evolution of identified small reservoirs from the basemap, volume and extent (processed shapefiles and raw ASAR imagery).

Shapefiles: Coral Reef Mapping Data
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143419/geospatial/ESA/ESA-MozambiqueChannel/3_eoworld_arcgis_files_of_coral_reef_mapping.zip
format: SHP ZIP
description: Four sites were mapped (Aldabra, Tulear, Mayotte, Rodrigues) and change detection was performed over the last decade.

Shapefile: Land Cover Change 1991-2012
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b7_vaessa_lc_change_1991_2012.zip
format: SHP ZIP

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/SEN_2009-2011_WSPIE_v01_M

Product Sheet: Land Use Land Cover Change 1991-2001-2012
type: Distribution
format: PDF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b2_vaessa_product_sheet_lulc-change.pdf
description: Includes output map, statistics, metadata and satellite specifications, validation procedures and accuracy measures.

Small Reservoirs Basemap Data
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143195/geospatial/ESA/ESA-LakeMalawi/1_SMALL_RESERVOIRS/b_basemap.zip
format: ZIP
description: Basemap data include small reservoir centroid, volume and extent (processed shapefiles and raw Landsat imagery). Underlying data also include dam inventory, administrative boundaries, and Landsat imagery AOI. The base map provides a good overview of the development of small reservoirs in the Southern Province of Zambia. All small reservoirs within the extent of the province are mapped with the use of the latest cloud free Landsat-5 imagery – outside the local rain season.

1D. Chlorophyll-a Timeseries (PNG Charts)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/1d_chl_time_series.zip
format: ZIP
description: Timeseries Charts showing Chlorophyll Concentration for the three lakes: Malawi, Chilwa and Malombe.

5C. SST Levels (KMZ)
type: Distribution
description: KMZ files of SST Monthly Mean Values
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/5c_sst_kml.zip
format: ZIP

NetCDF: Oil Spills Data
type: Distribution
description: Data delivered twice a week during 6 months (from July 1st to January 3rd) leading to a total of 324 products (in netcdf/cdf formats along with png snapshots). This corresponds to 54 dates times 6 products (Chlorophyll concentration, Low-Res Sea Surface Temperature, Hi-Res Sea Surface Temperature, Total Suspended Matter, Water Transparency and Significant Wave Height).
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143419/geospatial/ESA/ESA-MozambiqueChannel/4_oil_spill_sets.zip
format: ZIP

Shapefile: Historical Flood Map - May 2007
type: Distribution
format: SHP ZIP
description: Data includes floot extent, maximum flood, and xml metadata
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a6_vaessa_hfm_2007.zip

Ready Map for Printing: Land Use Land Cover - Grenada
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143379/geospatial/ESA/ESA-DRMCaribbean/1b_service1_grenada.pdf
format: PDF

Product Sheet: Historical Flood Map - May 2003
type: Distribution
format: PDF
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a1_vaessa_product_sheet_hfm2003.pdf

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/NGA_2015_FNLP-BL_v01_M

Dataset Readme
type: Distribution
description: Descriptions of the output maps, timeseriescharts, metadata, and file formats and storage.
format: PDF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143257/geospatial/ESA/ESA-Mexico/1_waterservice_coastalwaters_documentation_1.0.pdf

3B. Colored Dissolved Organic Matter (CDOM) Satellite Images (GeoTIFF)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/3b_cdom_images.zip
description: Satellite Images (GeoTIFF) of Monthly Means and Single Day CDOM Levels
format: ZIP

2D. Lake Titicaca Sub-basin - Mosaic RapidEye Map 2010
type: Distribution
format: TIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2d-printmaps-mosaicrapideye2010.zip
description: Ready Maps for Printing: TIFF and PDF

Dataset Readme
type: Distribution
format: OTHER
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/readme.txt

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/2826

Shapefile: Land Cover Change 2001-2012
type: Distribution
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b8_vaessa_lc_change_2001_2012.zip

1C. Lake Titicaca Footprint 2003
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1c-laketiticacafootprint2003.zip
format: SHP ZIP

Ready Map for Printing: Historical Flood Map - Dec 2007 (BMP)
type: Distribution
format: OTHER

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/BGD_2014_IAPPIE-ML2_v01_M

Ready Map for Printing: Historical Flood Map - Dec 2007 (PDF)
type: Distribution
format: PDF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a10_vaessa_overview_hfm07_printa0.pdf

Raw Satellite Imagery (Landsat and SPOT)
type: Distribution
description: Raw satellite imagery used in this project.
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143221/geospatial/ESA/ESA-LakeMalawi/3_LANDUSE_EROSION/3_supporting_data.zip

1A. Chlorophyll-a Maps (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/1a_chl_maps.zip
description: Maps (.png) of Monthly Means and Single Day Chlorophyll Levels
format: ZIP

Land Cover Land Use (LCLU) Raw Imagery (GeoTIFF)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143273/geospatial/ESA/ESA-Mexico/8_lc_rawimages.zip
format: ZIP

4D. KdP Timeseries (PNG Charts)
type: Distribution
format: ZIP
description: Timeseries Charts showing KdP for the three lakes: Malawi, Chilwa and Malombe.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/4d_kdp_time_series.zip

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/VNM_2009-2011_WSP-IE_v01_M_v01_A_PUF

Data: Oceanographic Conditions (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143441/geospatial/ESA/ESA-Tuvalu/3_oceano_pictures.zip
format: ZIP

1A. Chlorophyll-a Maps (PNG)
type: Distribution
description: Maps (.png) of Monthly Means and Single Day Chlorophyll Levels
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/1a_chl_maps.zip

Shapefile: Historical Flood Map - Dec 2014
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a9_vaessa_rapidfloodmap_2014.zip
description: Data includes floot extent, maximum flood, and xml metadata
format: SHP ZIP

Shapefile: Land Cover Classification 1991
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b3_vaessa_lc_classification_1991.zip
format: SHP ZIP

Sri Lanka - Historical Flood Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmp51o7w8mh/FeatureServer

Ready Map for Printing: DEM at 20m
type: Distribution
format: OTHER

Product Sheet: Historical Flood Map - Nov/Dec 2008
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a3_vaessa_product_sheet_hfm2008.pdf
format: PDF
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.

2C. Lake Titicaca Footprint 2010
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2c-laketiticacafootprint2010.zip
format: SHP ZIP

5D. SST Timeseries (PNG Charts)
type: Distribution
format: ZIP
description: Timeseries Charts showing SST for the two lakes: Malawi and Malombe.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/5d_sst_time_series.zip

Data Naming Convention
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/eomap_naming_convention.doc
format: WORD

Soil Erosion Map Data
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143221/geospatial/ESA/ESA-LakeMalawi/3_LANDUSE_EROSION/2_erosionmap.zip

4C. KdP (KMZ)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/4c_kdp_kml.zip
description: KMZ files of KdP Monthly Mean Values
format: ZIP

Shapefile: Land Cover Classification 2001
type: Distribution
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b4_vaessa_lc_classification_2001.zip

1A. Lake Titicaca Sub-basin - Land Use Map 2003
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1a-printmaps-landuse2003.zip
description: Ready Maps for Printing: TIFF and PDF
format: TIFF

3B. GeoTIFF: Lake Titicaca Sub-basin - Land Use Change 2003-2010
type: Distribution
format: GeoTIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/3b-satellitedata-landusechange2003-2010.zip

Urban Flooding of Greater Dhaka in 2050
type: Distribution
media type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/140735/urbanfgd_0.xlsx
format: XLS

Product Sheet: DEM at 20m
type: Distribution
format: PDF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143337/geospatial/ESA/ESA-DRMSriLanka/c1_vaessa_product_sheet_dem.pdf
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/3390

Shapefile: Historical Flood Map - May 2010
type: Distribution
description: Data includes floot extent, maximum flood, and xml metadata
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a8_vaessa_hfm_2010.zip

2B. GeoTIFF Images: Total Suspended Matter
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/2b-geotiff-totalsuspendedmatter.zip
format: GeoTIFF
description: Please refer to the readme file to review the folder structure behind this dataset

1B. GeoTIFF: Lake Titicaca Sub-basin - Land Use 2003
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1b-satellitedata-landuse2003.zip
format: GeoTIFF

2C. Total Suspended Matter Levels (KMZ)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/2c_tsm_kml.zip
description: KMZ files of TSM Monthly Mean Values

Mozambique Channel - Coral Reef and Oil Spill Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmpt4kt0gny/FeatureServer

4A. KdP Diffuse Attenuation Coefficient Maps (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/4a_kdp_maps.zip
format: ZIP
description: Maps (.png) of Monthly Means and Single Day KdP Diffuse Attenuation Coefficient

solar installation capacity quantity 2014 csv
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/146049/solar-installations-off-grid-in-ghana.csv
format: CSV
media type: text/csv

Sri Lanka - Historical Flood Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmp361lui7o/FeatureServer

5B. SST Satellite Images (GeoTIFF)
type: Distribution
description: Satellite Images (GeoTIFF) of Monthly Means and Single Day SST Levels
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/5b_sst_images.zip
format: ZIP

Total suspended matter (TSM) 2003-2011 Timeseries (.PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143257/geospatial/ESA/ESA-Mexico/5_tsm_inland_water.zip
format: ZIP

2C. Lake Titicaca Perimeter 2010
type: Distribution
format: SHP ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2c-laketiticacaperimeter2010.zip

Sri Lanka - Historical Flood Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmpdqiqu3bo/FeatureServer

Chlorophyll (CHL) 2003-2011 Timeseries (.PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143257/geospatial/ESA/ESA-Mexico/4_chl_timeseries.zip
format: ZIP

Ready Map for Printing: Land Use Land Cover - St. Lucia
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143379/geospatial/ESA/ESA-DRMCaribbean/1d_service1_stlucia.pdf
format: PDF

Land Cover Land Use (LCLU) Data (GeoTIFF)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143273/geospatial/ESA/ESA-Mexico/7_testresults_lc14_antigua_v2.zip

1A. ArcGIS Chlorophyll Map Editor
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/1a-arcgis-chlorophyll.zip
description: Please refer to the readme file to review the folder structure behind this dataset
format: SHP ZIP

2A. GeoTIFF Images: Chlorophyll
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/2a-geotiff-chlorophyll.zip
format: GeoTIFF
description: Please refer to the readme file to review the folder structure behind this dataset

4B. KdP Diffuse Attenuation Coefficient Satellite Images (GeoTIFF)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/4b_kdp_images.zip
description: Satellite Images (GeoTIFF) of Monthly Means and Single Day KdP Diffuse Attenuation Coefficient

1B. Chlorophyll-a Satellite Images (GeoTIFF)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/1b_chl_images.zip
format: ZIP
description: Satellite Images (GeoTIFF) of Monthly Means and Single Day Chlorophyll Levels

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/3552

Ready Map for Printing: Land Cover Classification 2012 (JPG)
type: Distribution
format: OTHER

Small Reservoirs Automated Classification using SAR
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143195/geospatial/ESA/ESA-LakeMalawi/1_SMALL_RESERVOIRS/d_automated.zip
format: ZIP
description: PLEASE NOTE: Object oriented classification was used to automatically classify water bodies. For this classification the minimal mapping unit of 0.5 ha was not used, because of the possibility of encountering smaller ones, due to the fact that reservoirs become smaller in the dry season. For this demonstration a subset was taken with 55 reservoirs that could be manually digitised that are validated against the base map. 51 reservoirs were automatically extracted with the developed classification method. This has detection rate of 93%.

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/BGD_2013_IAPPIE-ML1_v01_M

Sri Lanka - Historical Flood Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmp9xw614by/FeatureServer

Covid-19 Response Haiti
type: Distribution
access URL: https://portal.mwater.co/

Dissolved organic matter absorption (CDOM) 2003-2011 Timeseries (.PNG)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143257/geospatial/ESA/ESA-Mexico/3_cdom_timeseries.zip

Land Use Land Cover Data (GeoTIFF, Shapefiles)
type: Distribution
format: ZIP
description: Shapefiles include rivers, roads, and water bodies. GeoTIFFs include land cover classifications.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143379/geospatial/ESA/ESA-DRMCaribbean/1a_landcover.zip

1C. Chlorophyll-a (KMZ)
type: Distribution
description: KMZ files of Chlorophyll Monthly Mean Values
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/1c_chl_kml.zip

2E. GeoTIFF: Lake Titicaca Sub-basin - Mosaic RapidEye 2010
type: Distribution
format: GeoTIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2e-satellitedata-mosaicrapideye2010.zip

5A. Selected Water Surface Temperature (SST) Maps (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/5a_sst_maps.zip
format: ZIP
description: Maps (.png) of Monthly Means and Single Day SST Levels

4AB. Overview Map Products: Water Quality Timeseries Analysis by Chlorophyll and TSM
type: Distribution
description: Please refer to the readme file to review the folder structure behind this dataset
format: OTHER
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/4ab-eomap_additional_information.zip

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/BGD_2012_IAPPIE-BL_v01_M

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/3389

1D. Lake Titicaca Sub-basin - Mosaic Landsat 5TM Map 2003
type: Distribution
description: Ready Maps for Printing: TIFF and PDF
format: TIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/1d-printmaps-mosaiclandsat5tm2003.zip

Data: Meteorologic Conditions (PNG)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143441/geospatial/ESA/ESA-Tuvalu/2_meteo_pictures.zip
format: ZIP

Shapefile: Historical Flood Map - Dec 2008
type: Distribution
format: SHP ZIP
description: Data includes floot extent, maximum flood, and xml metadata
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a7_vaessa_hfm_2008.zip

Raster: Precise DEM at 0.5m
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143337/geospatial/ESA/ESA-DRMSriLanka/c4_vaessa_precise_dem_0.5m_sld99.zip
format: RASTER

1D. TSM Timeseries (PNG Charts)
type: Distribution
format: ZIP
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/2d_tsm_time_series.zip
description: Timeseries Charts showing TSM levels for the three lakes: Malawi, Chilwa and Malombe.

Product Sheet: Historical Flood Map - Dec 2007
type: Distribution
format: PDF
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a2_vaessa_product_sheet_hfm2007.pdf

Final Report and Documentation: Mozambique Channel Coral Reef Habitat Mapping
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143419/geospatial/ESA/ESA-MozambiqueChannel/1_eoworld_mozambique_channel_coral_reef_habitat_mapping.pdf
format: PDF
description: Includes methodology, bibliography, results of analysis, and metadata of the satellite imagery used. This report can be referred as: Andréfouët S, 2012, Mozambique Channel Coral Reef Habitat Mapping. Report to Collecte Localisation Satellites, IRD, Nouméa, January 2012. 56 pages.

ESRI Small Reservoirs Work Project (ArcMAP file: .mxd)
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143195/geospatial/ESA/ESA-LakeMalawi/1_SMALL_RESERVOIRS/e_small_reservoirs_mxd.zip
format: ZIP
description: For analysis and producing maps.

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/IDN_2009-2011_WSP-IE_v01_M_v01_A_PUF

2A. Lake Titicaca Sub-basin - Land Use Map 2010
type: Distribution
description: Ready Maps for Printing: TIFF and PDF
format: TIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142957/geospatial/ESA/ESA-LakeTiticaca/LandUseLandChange/2a-printmaps-landuse2010.zip

3A. Print Satellite Imagery: Chlorophyll
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/3a-printmaps-chlorophyll.zip
format: TIFF
description: Please refer to the readme file to review the folder structure behind this dataset

Product Sheet: Land Use Land Cover 2012
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b1_vaessa_product_sheet_lc.pdf
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.
format: PDF

Water Sector PPI
type: Distribution
access URL: https://ppi.worldbank.org/en/snapshots/sector/water-and-sewerage
format: HTML
license: cc-by

World Bank
type: Organization

Sri Lanka - Historical Flood Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmp7leitksr/FeatureServer

Dataset Readme
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143201/geospatial/ESA/ESA-LakeMalawi/2_LAKE_QUALITY_TEMPERATURE/readme.txt
description: Descriptions of the folders and file structure.

Ready Map for Printing: Land Use Land Cover - Grenadines
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143379/geospatial/ESA/ESA-DRMCaribbean/1c_service1_grenadines.pdf
format: PDF

Ready Map for Printing: Land Use Land Cover - St. Vincent
type: Distribution
format: PDF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143379/geospatial/ESA/ESA-DRMCaribbean/1e_service1_stvincent.pdf

3B. Print Satellite Imagery: Total Suspended Matter
type: Distribution
format: TIFF
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/142917/geospatial/ESA/ESA-LakeTiticaca/WaterQuality/3b-printmaps-totalsuspendedmatter.zip
description: Please refer to the readme file to review the folder structure behind this dataset

Shapefile: Land Cover Change 1991-2001
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143326/geospatial/ESA/ESA-DRMSriLanka/b6_vaessa_lc_change_1991_2001.zip
format: SHP ZIP

Product Sheet: Rapid Flood Map - Dec 2014
type: Distribution
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143314/geospatial/ESA/ESA-DRMSriLanka/a4_vaessa_product_sheet_rfm2014.pdf
format: PDF
description: Includes output map, metadata and satellite specifications, validation procedures and accuracy measures.

Sri Lanka - Land Use Land Cover LULC (Change) Mapping(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmp8gkxrohq/FeatureServer

Raster: DEM at 20m
type: Distribution
format: RASTER
access URL: https://development-data-hub-s3-public.s3.amazonaws.com/ddhfiles/143337/geospatial/ESA/ESA-DRMSriLanka/c3_vaessa_dem_20m_sld99.zip

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/3454

World Bank Data Catalog
type: Organization

Related materials (Questionnaires, reports, tables, technical documents, and data files)
type: Distribution
access URL: http://microdata.worldbank.org/index.php/catalog/study/BGD_2016_PGSS_v01_M

Lake Titicaca Water Quality(Feature Service)
type: Distribution
access URL: https://geowb.worldbank.org/hosting/rest/services/Hosted/tmpbx2paxh3/FeatureServer