Publications
Dataset · Zenodo · November 3, 2026
Data and code for: Sentinel-2 dNBR Mapping and Prediction in Kazakhstan: Implications for Sustainable Post-Fire Management
Afsana Alamgir Rhea, А.А. Саметова, Talgat Zh. Mazakov
Abstract
Data, code and outputs supporting the revised manuscript "Sentinel-2 dNBR Mapping and Prediction in Kazakhstan: Implications for Sustainable Post-Fire Management" (Sustainability, manuscript sustainability-4633150), covering the Semey Ormany (2023) and Karkaraly (2020) fires. The archive contains the original and revision Google Earth Engine scripts, scene manifests, sample identities and crosswalks, exported tables and rasters, the modelling and audit scripts, per-sample predictions and metrics, software environment records and the VIIRS request parameters. README.md gives the layout, the run order and the mapping from files to the tables and figures.
Fire effects on ecosystemsRemote Sensing in AgricultureFire Detection and Safety SystemsdNBRSentinel-2burned area mapping
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