The Kurdistan Burned Area Dataset (KBAD): A Sentinel-2 Deep Learning Benchmark for Multi-Temporal Burn Scar Segmentation in Semi-Arid Mountainous Ecosystems
- DOI
- 10.5281/zenodo.20757778
- Published
- 2026
- Container
- Not recorded
- Publisher
- Zenodo
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.20757778,
title = {The Kurdistan Burned Area Dataset (KBAD): A Sentinel-2 Deep Learning Benchmark for Multi-Temporal Burn Scar Segmentation in Semi-Arid Mountainous Ecosystems},
author = {Chomani, Kaifi},
year = {2026},
doi = {10.5281/zenodo.20757778},
url = {https://doi.org/10.5281/zenodo.20757778}
}RIS
TY - JOUR TI - The Kurdistan Burned Area Dataset (KBAD): A Sentinel-2 Deep Learning Benchmark for Multi-Temporal Burn Scar Segmentation in Semi-Arid Mountainous Ecosystems AU - Chomani, Kaifi PY - 2026 DO - 10.5281/zenodo.20757778 UR - https://doi.org/10.5281/zenodo.20757778 ER -
APA
Kaifi, C. (2026). The Kurdistan Burned Area Dataset (KBAD): A Sentinel-2 Deep Learning Benchmark for Multi-Temporal Burn Scar Segmentation in Semi-Arid Mountainous Ecosystems. https://doi.org/10.5281/zenodo.20757778