Work

Data and code for: Sentinel-2 dNBR Mapping and Prediction in Kazakhstan: Implications for Sustainable Post-Fire Management

Year: 2026

Type: dataset

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.23895157

Authors: Rhea, Afsana Alamgir, Sametova, Aigerim, Mazakov, Talgat

Institution: Al-Farabi Kazakh National University

Language: English

Topic: Fire effects on ecosystems

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: green

OpenAlex ID: W7225170436

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