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2013, Biotropica
Tropical dry forests are the most threatened forest type in the world yet a paucity of research about them stymies development of appropriate conservation actions. The Paranã River Basin has the most significant dry forest formations in the Cerrado biome of central Brazil and is threatened by intense land conversion to pastures and agriculture. We examined changes in Paranã River Basin deforestation rates and fragmentation across three time intervals that covered 31 yr using Landsat imagery. Our results indicated a 66.3 percent decrease in forest extent between 1977 and 2008, with an annual rate of forest cover change of 3.5 percent. Landscape metrics further indicated severe forest loss and fragmentation, resulting in an increase in the number of fragments and reduction in patch sizes. Forest fragments in flatlands have virtually disappeared and the only significant forest remnants are mostly found over limestone outcrops in the eastern part of the basin. If current patterns persist, we project that these forests will likely disappear within 25 yr. These patterns may be reversed with creation of protected areas and involvement of local people to preserve small fragments that can be managed for restoration.
Conservation
The use of remote sensing to determine land-use and land-cover (LULC) dynamics is often applied to assess the levels of natural forest conservation and monitor deforestation worldwide. This study examines the loss of native vegetation in the Campo Maior Complex (CMC), in the Brazilian Caatinga dry tropical forest, from 2016 to 2020, considering the temporal distribution of rainfall and discussing the trends and impacts of forest-degradation vectors. The Google Earth Engine (GEE) platform is used to obtain the rainfall data from the CHIRPS collection and to create the LULC maps. The random forest classifier is used and applied to the Landsat 8 collection. The QGIS open software and its SPC plugin are used to visualize the LULC dynamics. The results show that the months from June to October have the lowest average rainfall, and that 2019 is the year with the highest number of consecutive rainy days below 5 mm. The LULC maps show that deforestation was higher in 2018, representing 20.1...
Forest Ecology and Management, 2005
Central Rondônia is one of the most deforested regions in the Brazilian Amazon and contains areas at different stages of degradation forming a gradient from mature forest to highly urbanized and built-up areas. Regional data from satellite imagery are available from the 1980s, but apart from studies that quantify deforestation, the broad-scale landscape dynamics of Rondônia have not been examined well. This paper assesses the landscape changes between 1984 and 2002 in a watershed located in the central region of the state of Rondônia, Brazil, which has undergone systematic and rapid deforestation due to introduction of pasture that began in the 1970s. Bi-annual Landsat TM/ETM+ images from 1984 to 2002 were classified into three broad land cover types: mature forest, secondary forest, and pasture, resulting in a time series of land-use/landcover maps. Landscape changes were evaluated by computing a cross tabulation between years, transition rates, and landscape metrics related to size, density, connectivity, configuration, and deforested patches distribution related to patch size and spatial proximity to roads and old pastures. Transition probability functions were fitted to the temporal series to predict land-use changes for the next 10 years, for three different scenarios: (1) continued land-use change; (2) eliminating clearcutting and selective logging; and (3) eliminating clear-cutting, selective logging, and secondary vegetation clearing. Current land-use transitions cannot be sustained beyond the next 10-15 years. A more sustainable scenario for the region requires a major reduction of deforestation activities, implementing the ''permanent preservation area'' policy along riversides, and controlling land-use transitions at balanced levels. We recommend that forest managers in regions facing similar www.elsevier.com/locate/foreco Forest Ecology and Management 204 (2005) 67-83 Barros Ferraz), [email protected] (C.A. Vettorazzi), [email protected] (D.M. Theobald), [email protected] (M.V.R. Ballester).
Remote Sensing, 2013
Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000-2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km 2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km 2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30% of the area converted by deforestation. While average annual outright deforestation declined by 46%
2013
Abstract: Forest degradation in the Brazilian Amazon due to selective logging and forest fires may greatly increase the human footprint beyond outright deforestation. We demonstrate a method to quantify annual deforestation and degradation simultaneously across the entire region for the years 2000–2010 using high-resolution Landsat satellite imagery. Combining spectral mixture analysis, normalized difference fraction index, and knowledge-based decision tree classification, we mapped and assessed the accuracy to quantify forest (0.97), deforestation (0.85) and forest degradation (0.82) with an overall accuracy of 0.92. We show that 169,074 km2 of Amazonian forest was converted to human-dominated land uses, such as agriculture, from 2000 to 2010. In that same time frame, an additional 50,815 km2 of forest was directly altered by timber harvesting and/or fire, equivalent to 30 % of the area
Environmental Sciences Proceedings, 2020
In recent years, anthropogenic actions have intensified forest fragmentation, causing several damages to the landscape’s natural components, propagating the loss of biodiversity. This study aims to present an analysis of the forest fragments in a conservation unit located at southern of Brazil. The evaluation was carried out for the years 1998, 2008, and 2018, by using landscape metrics and classification of remote sensing imagery of the Landsat satellite. The following metrics were analyzed: area and edge, shape, core area, and aggregation. The results indicated an increase of 16.88% in the total area of vegetation, and the percentage of fragments increased from 16.16% to 18.89%. The number of fragments decreased, resulting in an increase of the mean area in 5.4 ha. The percentage of vegetation under border effect changed from 40.2% to 37.1%. In 1998, the average nearest neighbor distance was 155.4 m, and in 2018, 149.7 m. However, this distance is still classified as a high degree...
Frontiers in forests and global change, 2020
The determination of land cover changes (LCCs) and their association to biophysical and socioeconomic factors is vital to support government policies toward the sustainable use of natural resources. The present study aimed to quantify deforestation, forest recovery and net cover change in tropical dry forests (TDFs) in Brazil from 2007 to 2016, and investigate how they are associated to biophysical and socioeconomic factors. We also assessed the effects of LCC variables in human welfare indicators. For this purpose, we used MODIS imagery to calculate TDF gross loss (deforestation), gross gain (forest recovery) and net cover change (the balance between deforestation and forest recovery) for 294 counties in three Brazilian states (Minas Gerais, Bahia, and Piauí). We obtained seven factors potentially associated to LCC at the county level: total county area, road density, humidity index, slope, elevation, and % change in human population and in cattle density. From 2007 to 2016, TDF cover increased from 76,693 to 80,964 km 2 (+5.6%). This positive net change resulted from a remarkable forest recovery of 19,018 km 2 (24.8%), offsetting a large deforested area (14,748 km 2 ; 19.2%). Practically all these cover changes were a consequence of transitions from TDF to pastures and vice-versa, highlighting the importance of developing sustainable policies for cattle raising in TDF regions. Each LCC variable was associated to different set of factors, but two biophysical variables were significantly associated both to TDF area gained and lost per county: county area (positively) and slope (negatively), indicating that large and flat counties have very dynamic LCCs. The TDF net area change was only associated (negatively) to the humidity index, reflecting an increase in TDF cover in more arid counties. The net increase in Brazilian TDF area is likely a result from an interplay of biophysical and socioeconomic factors that reduced deforestation and caused pasture abandonment. Although the ecological integrity and permanence of secondary TDFs need further investigation, the recovery of this semi-arid ecosystem must be valued and accounted for in the national forest restoration programs, as it would significantly help achieving the goals established in the Bonn agreement and the Atlantic Rain Forest pact.
Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes, 2020
Brazil has a monitoring system to track annual forest conversion in the Amazon and most recently to monitor the Cerrado biome. However, there is still a gap of annual land use and land cover (LULC) information in all Brazilian biomes in the country. Existing countrywide efforts to map land use and land cover lack regularly updates and high spatial resolution time-series data to better understand historical land use and land cover dynamics, and the subsequent impacts in the country biomes. In this study, we described a novel approach and the results achieved by a multidisciplinary network called MapBiomas to reconstruct annual land use and land cover information between 1985 and 2017 for Brazil, based on random forest applied to Landsat archive using Google Earth Engine. We mapped five major classes: forest, non-forest natural formation, farming, non-vegetated areas, and water. These classes were broken into two sub-classification levels leading to the most comprehensive and detailed mapping for the country at a 30 m pixel resolution. The average overall accuracy of the land use and land cover time-series, based on a stratified random sample of 75,000 pixel locations, was 89% ranging from 73 to 95% in the biomes. The 33 years of LULC change data series revealed that Brazil lost 71 Mha of natural vegetation, mostly to cattle ranching and agriculture activities. Pasture expanded by 46% from 1985 to 2017, and agriculture by 172%, mostly replacing old pasture fields. We also identified that 86 Mha of the converted native vegetation was undergoing some level of regrowth. Several applications of the MapBiomas dataset are underway, suggesting that reconstructing historical land use and land cover change maps is useful for advancing the science and to guide social, economic and environmental policy decision-making processes in Brazil.
Linking People, Place, and Policy, 2002
Amazon, Brazil, frontier, colonization, agriculture, deforestation. This chapter provides a conceptual framework for a micro-level approach for studying farm-level and landscape change in the context of an agricultural frontier region of the Brazilian Amazon. The development of a property grid overlay (with 39 13 properties) facilitates the extraction of data on land cover change derived from the analysis of a time-series of remotely sensed images from 1970 to 1996. Time-segments between remotely sensed images permits the identification of the period of initial clearing and for analyzing the amount of farmland that is cleared annually by approximate age of the farm for the 25-year period. Deforestation is greatest in the beginning of farm settlement and slows down in subsequent years followed by a leveling off around year 18-20. The analysis suggests that by the year 2020, after 50 years of colonization, there will be between 24-32 percent of the original forest remaining.
Conservation Genetics, 2013
Biodiversity and Conservation
Functional diversity is a tool for understanding biological communities and the influence of environmental filters on assembly rules. However, few studies explore the relationships of diversity metrics across contrasting ecosystems. We evaluated the effect of ecosystems (tropical dry forest and pine-oak forest) and seasons (wet and dry) on the functional diversity and community composition of amphibians in western Mexico. Our study showed that associations among metrics of diversity were not constant across contrasting ecosystems. The amphibian communities were related to changes in the environmental variables of elevation, temperature and relative humidity. We analyzed the functional diversity of the amphibian community based on 11 traits related to reproduction, trophic flow and habitat use. Seven functional groups with distinct ecological characteristics were detected, of which, four presented functional redundancy and two were represented by a single species. While the tropical dry forest during the wet season showed the highest species richness, the richness and diversity of functional groups were significantly lower than in the pine-oak forest in both seasons. These results suggest that the seasonal drought in the tropical dry forest could act as an environmental filter, promoting dominance of similar functional traits among species, while limiting similarity could be acting in the pine-oak forest, in the face of relatively stable hydric conditions, allowing a greater functional diversity. Analysis of the relationship between biological communities and ecosystem functioning is necessary to undertake conservation strategies. Keywords Tropical dry forest Á Pine-oak forest Á Mexico assembly rules Á Limiting similarity Communicated by Dirk Sven Schmeller.
The Journal of Peasant Studies
Soy has become one of the world's most important agroindustrial commoditiesserving as the nexus for the production of food, animal feed, fuel and hundreds of industrial productsand South America has become its leading production region. The soy boom on this continent entangles transnational capital and commodity flows with social relations deeply embedded in contested ecologies. In this introduction to the collection, we first describe the 'neo-nature' of the soy complex and the political economy of the sector in South America, including the new corporate actors and financial mechanisms that produced some of the world's largest agricultural production companies. We then discuss key environmental debates surrounding soy agribusiness in South America, challenging especially the common arguments that agroindustrial intensification 'spares land' for conservation while increasing production to 'feed the world'. We demonstrate that these arguments hinge on limited data from a peculiar portion of the southern Amazon fringe, and obfuscate through neo-Malthusian concerns multiple other political and ecological problems associated with the sector. Thus, discussions of soy production become intertwined with broader debates about agrarian development, industrialization and modernization. Finally, we briefly outline the contributions in this volume, and identify limitations and fruitful directions for further research.
Journal of the Indian Society of Remote Sensing, 2018
This study aims to analyse the spatial pattern of deforestation and fragmentation in forests of Kinnerasani wildlife sanctuary and surroundings, Telangana, India. This study has found the annual deforestation rates between 2005 and 2015 as 1.38% and 1.50% inside and surroundings of the study area respectively. The fragmentation analysis reveals the high reduction in large core areas over the period of 2005-2015. Temporal forest cover change analysis was linked with predictive modelling to generate future forest cover scenario. The multi-layer perceptron neural network modelling was used for forecasting the deforestation for 2025. This study evaluates the nature of changes in deforestation and its affecting explanatory drivers such as slope (in degrees), elevation (in m), and the shortest distance to roads (in m), the shortest distance to nearest settlements (in m) and the distance from water bodies (in m). Spatial modelling has forecasted the annual change rate of forest as 0.19% in Kinnerasani wildlife sanctuary which indicates decreasing trend of forest loss in near future. The results of the study are useful as spatial input for conservation of forests in Kinnerasani wildlife sanctuary, Telangana, India.
Forest Degradation Around the World, 2020
Brazilian Savannas and Semi-arid woodlands biomes exhibit high levels of aboveground biomass (AGB) associated with high rates of deforestation. The state of Minas Gerais (MG), southeast of Brazil, encompasses landscape variations ranging from Savanna and Atlantic Forest to Semiarid woodlands. The understanding of land-cover changes in these biomes is limited due to the fact that most of the efforts for estimating forest cover changes has been focused on the tropical rain forests. Hence, the question is: What is the total amount of AGB loss across Savanna and Semi-arid woodland biomes in MG state, during the period 2007-2017? We first used a total of 1914 field plots from a forest inventory to model the AGB using a combination of remote sensing and spatio-environmental predictor variables to produce a spatial-explicit AGB map. Second, from a global map of forest cover change (GFC), we obtained deforestation patches. As a result, from 2007 to 2017, the Savanna and the Semiarid woodland biomes lost together 508,042 ha of native vegetation in MG state, leading to 21,182,150 Mg of AGB loss (4.65% of total AGB). In Savannas and Semi-arid woodland biomes in MG state, conservation initiatives must be implemented to increase the forests protection and expand AGB.
Entropy, 2021
Deforestation by human activities is a common issue in Amazonian countries. This occurs at different spatial and temporal scales causing primary forest loss and land fragmentation issues. During the deforestation process as the forest loses connectivity, the deforested patches create new intricate connections, which in turn create complex networks. In this study, we analyzed the local connected fractal dimension (LCFD) of the deforestation process in the Sumaco Biosphere Reserve (SBR) with two segmentation methods, —CA-wavelet and K-means—to categorize the complexity of deforested patches’ connections and then relate these with the spatial processes. The results showed an agreement with both methods, in which LCFD values below 1 corresponded to isolated patches with simple shapes and those above 1 signified more complex and connected patches. From CA-wavelet a threshold of 1.57 was detected allowing us to identify and discern low and high land transformation, while the threshold for...
Environmental Research Letters, 2015
Latin America has the planet's largest land reserves for agriculture and had the most rapid agricultural expansion during the twenty-first century. A large portion of the expansion replaced forests, as shown by many local and regional studies. However, expansion varied regionally and also replaced other land covers. Further, it is important to distinguish between changes in cropland and pastureland as they produce food at different levels of efficiency and intensity. We used thirteen years (2001-2013) of MODerate Resolution Imaging Spectroradiometer satellite imagery to characterize cropland and pastureland expansion at multiple scales across Latin America. From 2001 to 2013, 17% of new cropland and 57% of new pastureland replaced forests throughout Latin America. Cropland expansion from 2001 to 2013 was less (44.27 Mha) than pastureland (96.9 Mha), but 44% of the 2013 cropland total was new cropland, versus 27% of the 2013 pastureland total, revealing higher regional expansion rates of row crop agriculture. The majority of cropland expansion was into pastureland within core agricultural regions of Argentina, Brazil, Bolivia, Paraguay, and Uruguay. On the contrary, pastureland largely expanded at frontiers, such as central Brazil, western Paraguay, and northern Guatemala. As others have suggested, regional agriculture is strongly influenced by globalization. Indeed, we find an overall decrease in agricultural expansion after 2007, coinciding with the global economic slowdown. The results illustrate agricultural cropland and pastureland expansion across Latin America is largely segregated, and emphasize the importance of distinguishing between the two agricultural systems, as they vary in land use intensity and efficiency.
Kew Bulletin, 2020
Limestone or calcareous outcrops are geological formations that support tropical forests regarded as relict communities with many endemic species. However, these environments are constantly threatened by mining of calcareous rock. The genus Heterocypsela H.Rob. (Compositae, Vernonieae: Dipterocypselinae) has been longknown from only one species which is endemic to Brazilian limestone outcrops in the State of Minas Gerais. During field work on limestone outcrops of northern Minas Gerais, a second species of Heterocypsela was discovered. This species is described in the genus Heterocypsela since it has relatively long-pedunculate heads, dimorphic cypselae with only cubic crystals, glandular apical anther appendages and echinolophate type "C" pollen. Further investigation in herbarium specimen databases (Specieslink and Herbario Virtual Reflora) revealed other specimens of a new species, Heterocypsela brachylepis J.N.Nakaj. & D.Marques, expanding its geographic distribution to southwestern Bahia and southeastern Tocantins States in Brazil, in the same habitat. Heterocypsela brachylepis is described and illustrated. Despite its wide geographic distribution, this species should be considered Critically Endangered (CR), criterion D according to the IUCN guidelines, due to its restricted occurrence and few individuals.
2013
Indigenous Lands that are under high risk of deforestation are good candidates for REDD (Reduction of Emissions from Deforestation and Forest Degradation). REDD proposes to reduce deforestation and forest degradation through remuneration of carbon benefits. To estimate avoided greenhouse gas (GHG) emissions, the calculation is usually based on the most plausible expected amount of deforestation/degradation based on a Land-Use and Land-Cover Change (LULCC) reference scenario. One of the core methodological steps of a LULCC reference (or baseline) scenario is to evaluate the quantity of LULCC that occurred in a historical period, and to identify the drivers of these changes in order to understand how LULCC would evolve in a future period. The objective of this study was to map annual land-cover/use classes in the Sete de Setembro Indigenous Land (in Rondônia and Mato Grosso) between 2000 and 2009, and to extract LULCC rates to serve as the basis for the Suruí Forest Carbon Project LULCC reference scenario. We applied a Maximum-Likelihood supervised classification of multi-temporal Landsat-TM images to distinguish five land-cover subclasses: 1-burned areas, 2bare soil, 3-secondary vegetation, 4-forest and 5-water, and we then grouped these subclasses to obtain three land-cover/use classes. In 2009, 3416.5 ha were vegetation in equilibrium, 240.033 ha were forest and 230 ha were secondary vegetation. Applying a subtraction calculation between consecutive land-cover/use maps, we obtained an annual average of 154.7 ha of deforestation and 88 ha of secondary vegetation clearing. Forestcutting represents, on average, 72% of LULCC, whereas secondary-vegetation clearing represents 28%.
Forest Ecology and Management, 2009
Brazilian environmental law imposes more restrictions on land-use change by private landowners in riparian forests than in non-riparian forest areas, reflecting recognition of their importance for the conservation of biodiversity and key ecosystem services. A 22-year time series of classified Landsat images was used to evaluate deforestation and forest regeneration in riparian permanent preservation areas over the past two decades, focusing on the municipality of Paragominas in the state of Pará in eastern Amazonia. There was no evidence that riparian forests had been more effectively protected than non-riparian forests. Instead, deforestation was found to be comparatively higher inside riparian permanent preservation areas as recently as 2010, indicating a widespread failure of private property owners to comply with environmental legislation. There was no evidence for higher levels of regeneration in riparian zones, although property owners are obliged by law to restore such areas. A number of factors limit improvements in the protection and restoration of riparian forests. These include limited awareness of environmental compliance requirements, the need for improved technical capacity in mapping the distribution and extent of riparian forests and the boundaries of private properties, and improved access to the financial resources and technical capacity needed to support restoration projects.
2021
Brazil is one of the largest food producers in the world, a leading role that prompted a profound process of anthropization of itslandscapes. Knowing the dynamics and dimension of these transformations is essential for a more efficient and sustainable useof the country’s natural resources. Thus, in this study we present, based on an unprecedented sample design and interpretationof 85,152 sample points in Landsat images, the area estimates of the main land cover and land use classes in Brazil, as wellas their annual transitions, from 1985 to 2018. Our results indicate that, of the 850 Mha that comprise the national territory,294.2 Mha±1.44%were anthropized in 2018, with ~34%of this area converted after 1985. In this period, there was a loss of98.2 Mha±2.27%of natural vegetation, and an increase of 55.1 Mha±0.64%in the pasture areas and 28.2 Mha±0.29%in theareas of annual crops. The transition analysis showed that 83.07 Mha±1.31%of pastures and 9.64 Mha±0.45%of agriculture(annual, sem...
Brazilian Journal of Biology, 2004
The state of conservation of Atlantic Forest in the Maquiné river basin was assessed using land cover data obtained from Landsat TM 5 satellite imagery (October 1995). The initial analysis examined the distribution of the relative areas of each land-cover type according to landscape slope classes, potential vegetation zones, and a 90 m riparian buffer. Land-cover classes were then regrouped into categories representing "low", "intermediate", and "high" degree of anthropogenic alteration. Results indicate that about 70% of the land cover of the Maquiné river basin has been highly altered as a consequence of replacement of natural forests by agriculture. Presently, a recovery process seems to be underway, contrasting with the historical trend towards deforestation. There are large areas of secondary vegetation in intermediate (34.8%) and advanced successional stages (20.2%), particularly across the range of the montane forest and of forest formations that...
Many deforestation estimates have been derived from the Landsat platform in the past 30 years. More recently, estimates have also been produced from other orbital platforms, or using distinct methods of image processing and classification. As a result, there is often a diversity of estimates of LULCC available for high-profile study regions. Deforestation is increasingly seen as a metric for evaluating the effectiveness of environmental policies, and different estimates can be politicized by groups with interest in higher or lower estimates. Further, clean development mechanisms involving forest conservation have advanced toward implementation but require "accurate" estimates of forest cover with which to determine environmental service payments. Such issues are at play in many regions, notably the Brazilian Legal Amazon (BLA), where deforestation has proceeded rapidly, resulting in biodiversity loss and carbon emissions. This paper therefore compares deforestation estimat...
This paper presents a comparison of tropical deforestation estimates in AVHRR/NOAA and TM/Landsat images for a region in Central Brazil where large clearings in the forest prevail. A TM scene of 02/Sept/89 in the scale of 1:250,000 was visually interpreted to produce a map with four classes: natural forests, deforested areas, natural savannahs, and rivers. The AVHRR image of 17/Sept/89 with full 1.1 km resolution was, digitally degraded to 2km resolution and classified to show forested and deforested areas. Comparison between deforested areas detected in the two data bases was done in a Geographical Information System for 54 grid cells of 10xl0 minutes. AVHRR channel 3 (3.7um band) provided the best results. A linear relation was found with a Determination Coefficient of 0.93, higher than previously reported in the literature for other AVHRR channels. The methodology developed is recommended for early location and assessment of new tropical deforestation.
2011
Maps elaborated from five different periods were recovered and inserted within a single GIS. Considering these maps, the evolution of deforestation in the Pantanal and its surroundings in Brazil was analyzed for the last 32 years and scenarios were described for the timeframe 20102050. The results for the different BAP (Floodplain and Plateau), BAP (Mato Grosso and Mato Grosso do Sul States), BAP (Biomes: Pantanal, Cerrado and Amazon). Until 2008, the deforestation on the Pantanal floodplain affected 12,14% of its area, while on the Plateau 58,90% were concerned. The actual deforestation percentages indicate that, if no effective control actions are taken, the natural vegetation from this region could be eliminated till 2050. As an instrument for the effective deforestation control, we suggest the implantation of a deforestation monitoring system on the river basin of the Upper Paraguay, based on information technology.
Environmental Conservation, 2005
Over the past several decades, the Brazilian State of Rondônia has been the destination of many rural migrants drawn from Brazil's middle southern regions by massive government colonization projects. Factors such as explosive population growth, logging, mining, small-scale farming and ranching have synergistically fuelled deforestation in the state. The total area deforested in Rondônia in 1978 was 4200 km2. In 1988, the area increased to 30 000 km2, in 1998 to 53 300 km2 and by the year 2003, a total of 67 764 km2 of Rondônia was deforested. In response to the high rate of deforestation observed in Rondônia and other Amazonian states, state and federal agencies worked to create a network of conservation units (CUs) in Brazil during the 1990s that was signed into law(Law 9985/00) in 2000. The ability of these CUs to reduce the rate of deforestation was analysed. Remotely-sensed data from Landsat and thematic coverages were used to measure deforestation inside all CUs in Rondônia...
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS), 2020
Monitoring the conversion of native vegetation has challenged Brazilian government and scientists since the 1980s. In the case of the Amazonian forests, the Amazon Gross Deforestation Monitoring Project -PRODES has developed an effective methodology that provides consistent annual data on deforestation areas on a scale of 1:250,000, since 1988. In this article, we present some aspects of the evolution of this methodology, the key processes to produce accurate deforestation maps during the last 30 years and the new challenges that the Project would face. A central lesson is that no computational technique has, to date, been able to achieve the quality of deforestation maps produced by visual interpretation of satellite images and manual mapping.
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