Polygon files for the annotation in the FLOGA dataset.
Each polygon file contains the following fields:
ID: unique identifier for each wildfire eventStart date: The ignition date of the wildfireEnd date: The date the wildfire endedSEN_2A_s: The pre-fire Sentinel-2 image usedSEN_2A_e: The post-fire Sentinel-2 image usedMOD09GA_s: The pre-fire MODIS image usedMOD09GA_e: The post-fire MODIS image used
Each file in FLOGA v1 is identified by the following prefix: <row id> where row id is the index of the shapefile row for this particular year.
The annotations remain the same as in v1, but new imagery has been included adopting the re-processed Sentinel-2 products. In some cases, images from different dates have been used compared to v1 due to more accurate cloud masking, thus rejecting cloudy images that were previously deemed cloud-free and vice versa.
We have also added candidate Sentinel-1 imagery in case the user is interested to produce a dataset with a SAR modality. We opted to include 2 pre- and 2 post-fire Sentinel-1 products, useful for coherence map production. FLOGA is currently being extended with such data aiming to tackle cloud/smoke coverage and potentially real-time wildfire progression monitoring.
Each polygon file contains the following fields:
ID: unique identifier for each wildfire eventYear: The year of the eventStart date: The ignition date of the wildfireEnd date: The date the wildfire endedS2_s: The pre-fire Sentinel-2 image usedS2_e: The post-fire Sentinel-2 image usedMOD_s: The pre-fire MODIS image usedMOD_e: The post-fire MODIS image usedS1_s1: The first pre-fire Sentinel-1 imageS1_s2: The second pre-fire Sentinel-1 imageS1_e1: The first post-fire Sentinel-1 imageS1_e2: The second post-fire Sentinel-1 imageS1_orbit_d: The orbit direction of the Sentinel-1 image (i.e. "asc" or "desc")
Each file in FLOGA v2 is identified by the following prefix: <ID>_<row id> where ID is the "ID" field of the shapefile and row id is the index of the shapefile row for this particular year.
If you would like to use our work, please cite our paper:
@ARTICLE{10479972,
author={Sdraka, Maria and Dimakos, Alkinoos and Malounis, Alexandros and Ntasiou, Zisoula and Karantzalos, Konstantinos and Michail, Dimitrios and Papoutsis, Ioannis},
journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
title={FLOGA: A Machine-Learning-Ready Dataset, a Benchmark, and a Novel Deep Learning Model for Burnt Area Mapping With Sentinel-2},
year={2024},
volume={17},
number={},
pages={7801-7824},
doi={10.1109/JSTARS.2024.3381737}
}