The Cumulative Sum (CuSum) algorithm was used to assess all non-forest areas as the hypothesis found by preliminary results was that these areas were more ...
These systems face multiple issues in tropical areas, one of them being the need of a good forest / non-forest map to use as reference for the monitoring.
Jun 13, 2024 · This work was tested in a small region in Colombia, although it is geographically distant from the one studied in the present paper.
Jun 5, 2024 · Sentinel-1 Based Cusum Capabilities As A Forest / Non-Forest Mask In Tropical Areas · Bertrand Ygorra · Frederic Frappart · Jean-Pierre Wigneron.
SENTINEL-1 BASED CUSUM CAPABILITIES AS A FOREST / NON-FOREST MASK IN TROPICAL AREAS · 1: LIGHTWEIGHT LANDSLIDE DETECTION METHOD BASED ON DEPTH SEPARABLE ...
How Sentinel-1 timeseries can improve the implementation of ...
www.sciencedirect.com › article › pii
Cusum algorithm is able to detect 86.1 % of the identified deforested polygons and achieved 98.9 % accuracy, 87.3 % precision, and 53.2 % recall. An overview ( ...
Jul 26, 2024 · The Cumulative sum change detection (CuSum) method has been developed for the monitoring of forest disturbances from long time series of Sentinel-1 images.
Sentinel-1 Based Cusum Capabilities As a Forest / Non-Forest Mask in Tropical Areas. In Proceedings of the IGARSS 2023—IEEE International Geoscience and ...
Oct 22, 2024 · Here, we combine Sentinel-1-based, near real-time forest cover information with Visible Infrared Imaging Radiometer Suite (VIIRS) active fire ...
Sentinel-1 Based Cusum Capabilities As a Forest / Non-Forest Mask in Tropical Areas. Proceedings of the IGARSS 2023—IEEE International Geoscience and Remote ...