India block-level environmental burden index
Derived data and code for the manuscript “Targeting India’s most deprived blocks overlooks compound environmental burden” (G. Nath, 2026, submitted). Block-level environmental-burden index for all 7,146 community-development blocks of India (LGD 2024), built from 13 satellite, reanalysis and gridded indicators in four domains (heat, air pollution, water stress, flood and cyclone), with 1,000-variant Monte Carlo uncertainty; a census-based social-vulnerability index; the 500 Aspirational Blocks matched to LGD codes; ground-validation results; re-targeting scenarios; district health models; and the supplementary tables. Code: Earth Engine/Colab notebooks that reduce the public inputs to block tables, and Python scripts that rebuild every analysis, figure and table (run order in README.md). Data CC BY 4.0; code MIT.
Authors
- Gautam Nath
Institutions
- National Institute of Technology Patna (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-07
- DOI
- https://doi.org/10.5281/zenodo.24039232
- Primary Topic
- Environmental Justice and Health Disparities
- Type
- article
- Field-Weighted Citation Impact
- 0.00