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Impact of Coal Mining on LULC Change Using Geospatial AI

By Ajay Kumar

Impact of Coal Mining on LULC Change Using Geospatial AI

By Ajay Kumar

0 - Default Title
Description
Rapid economic growth and industrialization have significantly impacted the environment, especially in resource-extractive regions like the Jharia Coalfield in Dhanbad, Jharkhand, India. This study uses an integrated approach combining remote sensing, GIS, and geospatial artificial intelligence (GeoAI) to analyze Land Use/Land Cover (LULC) changes from 1992 to 2014. Supervised classification using the Maximum Likelihood algorithm was applied to enhance spatial accuracy. The results reveal substantial spatiotemporal shifts: coal locations, dense forests, water bodies, and barren lands declined, while vegetation regrowth and residential areas increased. This change analysis identifies high-risk zones and degraded landscapes resulting from unregulated mining. A net loss of over 38% in forest and water areas was recorded, with significant expansion in coal zones and settlements. Remote sensing and GIS proved effective in mapping land degradation. The findings highlight the urgent need for sustainable land use policies and support the development of a long-term environmental management plan for the Jharia Coalfield.
Product details
Binding:
Paperback
Number of Pages:
80
Release Date:
2025-07-17
Publication Date:
2025-07-17
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6207805909
ISBN13:
9786207805907
Weight:
137 g
Height:
150 cm
Width:
220 cm
Thickness:
5 cm
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