Forest fire assessement training dataset (2022-07-18 fire at Maclas - France)
<p>This dataset has been created to train Univ. Eiffel personnels on raster data handling with QGIS.</p><p>It provides the following elements:</p><ul><li>Geopackage database with the following layers:<ul><li>QGIS project</li><li>Extract from the SENTINEL-2 2022-06-11 B8A band</li><li>Extract from the SENTINEL-2 2022-06-11 B12 band</li><li>Extract from the SENTINEL-2 2022-07-21 B8A band</li><li>Extract from the SENTINEL-2 2022-07-21 B12 band</li><li>Reclassified delta NBR raster layer</li><li>Delta NBR vector layer</li><li>Studied area bounding box</li></ul></li><li>Intermediate results:<ul><li>pre-event NBR raster file</li><li>post-event NBR raster file</li><li>Delta NBR raster file</li><li>Delta NBR raster file multiplied by 1000 (for easier reclassification)</li></ul></li></ul><p>Data sources IDs from opensearch-theia.cnes.fr-sentinel2-l2a catalogue :</p><ul><li>SENTINEL2B_20220721-104826-811_L2A_T31TFL_D</li><li>SENTINEL2B_20220611-104824-395_L2A_T31TFL_D</li></ul><p> </p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4