The Industrial–Mining dataset, part of the CoRE Stack, maps the spatial distribution of industrial zones, mining sites, and extractive activity areas across India. It supports assessment of land-use pressures, environmental impacts, and socio-ecological risks associated with industrial and mining operations. When integrated with terrain, hydrology, land use, and ecological datasets in the CoRE Stack, it enables analysis of pollution hotspots, resource extraction footprints, and planning for sustainable industrial and landscape management.
The Industrial–Mining dataset is included in the CoRE Stack (Commoning for Resilience and Equality) and maps the spatial distribution of industrial areas, mining sites, and extractive activity zones across India. Derived from national industrial land-use inventories, mining datasets, and satellite-based assessments, it captures locations of operational and abandoned mines, industrial clusters, and associated infrastructure. This dataset supports analysis of land-use change, environmental pressures, and socio-ecological impacts arising from industrial development and mineral extraction. It enables identification of pollution hotspots, assessment of risks to water bodies and ecosystems, and monitoring of industrial expansion over time. The dataset is valuable for planning sustainable industrial growth, rehabilitating degraded mining landscapes, and evaluating compliance with environmental safeguards. When combined with CoRE Stack layers such as Land Use, Hydrology, Terrain, and Ecological Zones, it provides a comprehensive understanding of industrial and mining footprints, their interactions with natural systems, and opportunities for mitigation or restoration.
Technical details and methodologies are available in the CoRE Stack Technical Manual: https://core-stack.org/core-stack-technical-manual-v2/
The Purpose Of The Industrial–mining Dataset Is To Map And Analyze The Spatial Footprint Of Industrial Areas And Mining Activities Across India, Enabling Assessment Of Land-use Pressures, Environmental Impacts, And Socio-ecological Risks. It Supports Sustainable Industrial Planning, Monitoring Of Extractive Operations, Identification Of Pollution Or Degradation Hotspots, And Informed Decision-making When Integrated With Other Core Stack Datasets Such As Land Use, Hydrology, And Ecological Zones.
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