Assessment of ecological environment quality in Kolkata urban agglomeration, India

The global ecosystem has been significantly disrupted on various spatiotemporal scales over the last three decades due to human activities. Geospatial technology can quickly, effectively, and quantitatively evaluate change of eco-environmental quality (EEQ). present study is focused novel approach Remote Sensing based Ecological Index (RSEI), using Landsat Imagery data assess environmental conditions changes pattern. Four ecological indicators were prepared in year 1990, 2000, 2010 2020 Kolkata urban agglomeration (KUA) condition. principal component analysis (PCA) spatial autocorrelation relate all with each other’s RSEI. Out indicated, greenness wetness have a positive effect EEQ province, but both dryness heat negative effect. However, it should be noted that greater impact eco-environment than other indicators. Based RSEI values, we categorized standards area into four groups—very good (0.81?1.00), (0.61?0.80), acceptable (0.41?0.60), poor (0.21?0.40), very (0.00?0.20), where high values ??indicate stable healthy for living organisms low relatively unstable threatening environment. status showed 9.02%, 12.29%, 12.79% 37.23% an was under condition respectively. Good increased from 19.12% 34.074% during 1990 2010, declined value 9.47% expansion. Here, Moran's I fund 0.265, 0.543, 0.396 0.367 result Moran’s indicate clustering nature. helpful decision making management guided by planners policy makers.