Using NDVI values for comparing parks in different scales

Journal of environmental protection and ecology

In this article, a simple method to be used in determining and monitoring existing urban green areas was examined from an ecological point of view. To this end, Altinpark, which is located in the city of Ankara in Turkey, was studied as a pilot area. Normalised difference vegetation index (NDVI), soil adjusted vegetation index (SAVI) and tasselled cap green vegetation index (GVI) values of Altinpark were used as ecological indicators. Vegetation cover size and temporal growing rates in the park area in Ankara were determined by employing Remote Sensing Technology. The results were assessed using Kappa statistics. Green area detection accuracies from NDVI, SAVI and GVI were 71, 73 and 56%, respectively. Additionally, the 1989 and 2006 green areas of Altinpark were compared with each other to see the temporal growth of green cover in the park area. Green cover change was detected to be 43.9 ha. The purpose of this study is to present a method to be used in determining and monitoring t...

Iraqi Journal of Agricultural Sciences, 2019

The recent needs using new technologies depending on the geomatics and geotachnologies represented by remote sensing (RS) and geographic information system (GIS) as a tool to manage urban parks green spaces as it allows to collect a lot of data easily and quickly. Also, geoanalyzing and interpreting them to improve these spaces role in urban cities. Normalized differences of vegetation index (NDVI) is considered as one of the most important geotechnical applications and a mean to monitor and interpret changes occurring in this land cover. NDVI has been studied by using Arc GIS v10.3 and the image taken by landsat 8 of OLI sensor at spatial resolution 30*30m 2. NDVI result showed that it was ranging between (0-0.6) in no vegetative cover areas such as water surfaces and bare soils areas at 2.13% of the total area of Al-Zawra park area. It was also ranging between (0.4-0.3) in areas heavy with large trees planted intensively in that area of 1.25% of the park. Other values ranged between (0.2-0.3) of areas planted with less intensive trees them previous of 12.4% of the total area of the park. NDVI ranged between (0.1-0.2) in areas planted separately with plants where this area formed 60.92% of the total park area. Last category ranged between (0-0.1) where it include light vegetation cover of pale colors including weeds and grasses up to parking lots and empty spaces of (0) NDVI values at 23.30% of the total area of the park.

This study identifies land use changes in the metropolitan region of Klang-Langat Valley focusing on urban sprawl and green space. A technique called Normalized Difference Vegetation Index (NDVI) is used to quantify temporal urban green space dynamics. All districts in the valley recorded a marked increase in urban area, but decreased in agriculture and forest areas. Result of vegetation index analysis showed that NDVI increases for water body, bare soil, and built-up area category for as much as 16.98% from 1998 to 2001, but during the same period vegetation experience a decrease of 22.25%.

2012

róZová, Z., MikUlová, e. 2012. Visual attributes of vegetation in urban landscape. Folia oecol., 39: 71–76. The work deals with the evaluation of the visual attributes of vegetation composition such as dimension, shape, colour, texture, proportionality, structure and dominance. It is an attempt how to objectively evaluate the basic combinations of architectonic and vegetation elements. It is generally focused on vegetation areas serving several functions. The only differences are in determination of criterions needed for the evaluation and for the proposal of new composition. The methodology has been tested on the model area of the Pribina square in Nitra.

atmosphere, 2022

Rapid urbanisation, economic growth, and urban spatial development in developing countries, such as Iran, have resulted in tremendous loss of green cover and associated ecological problems. Any effort to achieve sustainable urban development should be supported by recognising and evaluating the ecological health of vegetation cover. This study investigates vegetation cover reduction and changes in the Tehran Metropolis, Iran and identifies the most important factors influencing the observed changes. The aim of this study is two-fold: first, to assess the spatiotemporal changes in vegetation cover in Tehran between 1990 and 2020, and second, to identify the factors contributing to the changes. The Normalised Difference Vegetation Index (NDVI) is used as an indicator of green cover. The spatial and statistical data used in this study were extracted from Landsat satellite imagery and the last approved Master Plan of Tehran (2006). Geographically Weighted Regression (GWR) and geographical modelling methods were employed to analyse vegetation cover in all municipal districts of the Tehran metropolis. The results show that the vegetation density in the Tehran metropolis decreased significantly (from 38,936.80 hectares to 4663.23 hectares) between 1990 and 2020. The expansion of construction lands and the increase of population density were the most significant factors affecting the reduction in vegetation cover in Tehran. In contrast, the growth of industrial units in the urban areas of Tehran had no significant relationship with vegetation cover. The results of this study can help urban planners understand the significant drivers of vegetation loss and identify appropriate interventions to prevent it.

Urban green spaces (UGS) are one of the indispensable elements for design and development of cities. UGS are considered as “lung” of cities as well as one of the elements reflecting the quality of life. The aim of this research is to develop Weighted Urban Green Space Index (WUGSI) for assessment of city wide UGS based on multi criteria analysis of Chandigarh city. The percentage of green, type of green and proximity to green are selected as parameters to study weighted urban green space index. All these parameters were derived from IRS P6 LISS IV data and IRS P6 LISS 4 + Cartosat-1 fused product. NDVI and Object based classification method is used to obtain different layers and then is analyzed using multi criteria analysis to derive the modified green index. The final result shows the distribution of green space in study area consisted of very high quality green, high quality green, moderate quality green and low quality green. The assessment of UGS was carried out sector wise and it was found that developed index is quite useful for assessment of UGS and can be used to identify the planning recommendations.

Environment, Development and Sustainability

This study evaluates the green space ecological quality with regard to its spatial properties. It investigates how the spatial properties of green space patches affect ecological aspects of municipal green spaces of Mashhad in Iran. The importance and necessity of this investigation is to develop a concept to evaluate the quality of urban green patches based on the perspective and method of landscape ecology. In accordance with our objectives, the quality concept is defined by quantitative (size, area, density) and qualitative (shape, complexity, connectivity) factors as referred to spatial configuration and composition of landscape structure. However, to have a better understanding of the quality concept, we explored the relationship between landscape variables and ecological quality by spatial analysis and correlation tests. We (1) drew the urban green space map by images processing, (2) quantified landscape metrics for the green space patches, (3) analyzed and represented the metric value spatially, (4) calculated ecological quality and drew the grade map, (5) measured the Pearson correlation coefficients and linear regression between ecological quality and each landscape metric. Results of this study provided the evidence to study ecological quality by integrating metrics map and analyzing spatial heterogeneity in Mashhad city. Results showed that the extent and continuity of the green spaces were too low to effectively support some key ecological services. Additionally, the Pearson's correlation coefficients and linear regression revealed strong relationships between ecological quality and most landscape metrics except LSI. Although it was expected that the qualitative variables of green space had higher influence on the ecological quality, quantitative variables had the highest effect due to the origin and nature of the green patches.

2013

Considering the importance of urban parks and green spaces and their role in urban life, this study undertook evaluation of parks and urban green spaces in District 8, Tehran. It is a descriptive-comparative research. Based on theories and concepts, as well as on the world and national cases, evaluation of the parks in District 8 was conducted. Accordingly, major parks were evaluated at different scales such as zone, neighborhood, and neighborhood unit. A researcher-designed survey whose validity was approved by experts, and whose reliability was determined at 95 % was carried out. The results were categorized into two groups, i.e. qualitative and quantitative. Per capita green space in District 8 is estimated to be 4.2 m2 which is minute in comparison with Tehran’s per capita green space, estimated at 28.9 m2. Furthermore, inappropriate distribution and low ecological function, especially in spring and summer, are among the weaknesses of the district green spaces. The district park...

Journal of Settlements and Spatial Planning, 2021

The rapid pace of urban development triggers complex problems mostly related to urban environment pollution, and shortcomings of city’s improvement. The modern city is characterized by the highest man-made pressure on the natural environment, the main problems being overcrowding, lack of open-access green areas, as well as the decrease of vegetation areas, fact that does not create comfortable living conditions for urban residents. At present, remote sensing methods are some of the priority tools used in vegetation state assessment, particularly, the calculation of vegetation index (NDVI). But often, obtaining the necessary information is limited only to the analysis of satellite data, without geobotanical field surveys, which considerably increase the reliability of the detected results. In addition, the definition of dependencies when using an integrated approach of different man-affected surfaces with a different type of overgrowth within the city remains insufficiently studied. ...

GIS and Remote Sensing. Proceedings of the 3rd International Conference ', 2014

The study focuses on the semi-automatic detection of the vegetation on the satellite panchromatic image covering area of Brussels, Belgium. Using functions of the Normalized Difference Vegetation Index (NDVI) and spectral reflectane parameters of the image, the vegetation was identified on the satellite scene. The research question was to assess, how NDVI measurements can be used for urban studies using remote sensing data. The aim is to distinguish and separate on the map built-up areas from the green spaces (parks, gardens, etc) within the urban landscape. The research is supported by the raster imageand the eCognition software for image analysis. The results show detected vegetation areas in eastern part of Brussels. The research demonstrated methodological applicability of eCognition software for GIS-based urban mapping and ecological assessment (areas and sizes of vegetation coverage).