The product is automatically derived from Sentinel-3 (OLCI) satellite imagery in near-real time.
It is an incremental product, meaning that the retrieved results are updated as soon as new input data becomes available over a timespan of ten days.
Besides the fire perimeter, and detection time each feature contains information about the severity of the burning.
- Satellite: Sentinel-3 A/B
- Sensor: OLCI
- Product: Level 1, Near Real-Time (NRT)
- Period: Starting from March 2016. This product contains data for the recent 50 days.
- Coverage: Europe
- size: Number of affected pixels in original image resolution (300x300m)
- confidence: Robustness of the result, given in percent. The measure is derived from the number of present active fires in combination with the degree of burning
- name: Shortended name of the originating Sentinel-3 scene
- t_stamp: Time of detection
- region: Continental monitoring region
- avg_dndvi: Averaged degree of burning, addressing the decrease in vegetation fitness. Ranges from -2 (extremely severe) to > 0.
- median_dndvi: Median value of degree of burning, see 'avg_dndvi'
- min_dndvi: Minimal degree of burning, see 'avg_dndvi'
- max_dndvi: Maximal degree of burning, see 'avg_dndvi'
- area_ha: Size of affected area in hectares
- UKIS Data Tutorials demonstrating the access to these datasets with interactive Jupyter notebooks.
- Michael Nolde, Simon Plank, Torsten Riedlinger. (2020, July 6). An Adaptive and Extensible System for Satellite-Based, Large Scale Burnt Area Monitoring in Near-Real Time. Remote Sens. 2020, 12, 2162. https://doi.org/10.3390/rs12132162
License: Creative Commons Attribution-NonCommercial (CC BY-NC 4.0)
DLR, EOC, Burnt Area, Europe, Burn Severity, Sentinel-3, Time-Series, Fire Monitoring, Daily, Near-Realtime
Bounds: 1000000, 850000, 8050000, 5500000