Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Impact of Coal Mining on LULC Change Using Geospatial AI

Impact of Coal Mining on LULC Change Using Geospatial AI

Kumar, Ajay

Paperback

General Science

ISBN10: 6207805909
ISBN13: 9786207805907
Publisher: LAP Lambert Academic Publishing
Published: Jul 17 2025
Pages: 80
Weight: 0.26
Height: 0.19 Width: 6.00 Depth: 9.00
Language: English
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.

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