A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020–August 2026
- DOI
- 10.1016/j.dib.2026.113357
- Published
- 2026-08
- Container
- Data in Brief
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.dib.2026.113357,
title = {A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020–August 2026},
author = {Shreyan Mitra and Mohammadreza Narimani and Parastoo Farajpoor},
year = {2026},
journal = {Data in Brief},
doi = {10.1016/j.dib.2026.113357},
url = {https://doi.org/10.1016/j.dib.2026.113357}
}RIS
TY - JOUR TI - A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020–August 2026 AU - Shreyan Mitra AU - Mohammadreza Narimani AU - Parastoo Farajpoor PY - 2026 JO - Data in Brief DO - 10.1016/j.dib.2026.113357 UR - https://doi.org/10.1016/j.dib.2026.113357 ER -
APA
Mitra, S., Narimani, M., & Farajpoor, P. (2026). A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires, July 2020–August 2026. Data in Brief. https://doi.org/10.1016/j.dib.2026.113357
Source records
- crossref · retrieved 2026-11-04T06:47:07.265Z