Data for Urban Ecological Hazard-Risk Assessment in Delhi-National Capital Region

Published: 24 January 2025| Version 1 | DOI: 10.17632/vsgsf5pnxf.1
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Description

The satellite datasets were acquired from the openly available Google Earth Engine (GEE) platform from various satellites and sensors. The given dataset was used for computing the ecological hazard risk and vulnerability of Delhi-NCR region using 13 contributing variables, such as built-up density (Landsat; 2020), local climate zones (WUDAPT; 2022), green cover density (Landsat; 2020), rate of built-up growth (Landsat; from 1973 to 2020), loss of green cover (Landsat; 1973 to 2020), land surface temperature (Landsat; May 2022), PCA of biochemical and biophysical variables (Sentinel 2A; May 2022), road density, drainage density, slope and elevation (SRTM DEM), population growth, and population density (GHSL). All the above were prepared using 200x200 m grids and resampled at 10 m spatial resolution. Utilizing the fuzzy-AHP model, all the thematic layers were rescaled based on the weights, where a lower value of the variable indicates lower susceptibility and vice versa.

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Institutions

Banaras Hindu University, Central University of Jharkhand

Categories

Remote Sensing, Fuzzy Logic, Hazard Analysis, Urban Ecology

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