The Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing DOI Creative Commons
Eduardo Rolim de Oliveira, B. Silva, Diogo Lopes

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 17(1), P. 51 - 51

Published: Dec. 27, 2024

The open burning of agricultural residues is a widespread practice with significant environmental implications. This study explores the potential satellite remote sensing to detect and analyze small-scale fires in Portugal, focusing on their spatial temporal characteristics. Using active fire detection products from various platforms, including VIIRS, MODIS, SLSTR, SEVIRI, we conducted detailed analysis across two local case studies national-scale assessment. evaluates both detections post-fire burned area estimations, using high-resolution imagery overcome limitations associated small size low intensity these fires. results indicate that while are feasible for larger-scale burning, challenges remain smaller due resolution constraints. A systematic comparison an request database further highlights need enhancement precision data improve reliability. Despite limitations, this work underscores importance tools monitoring practices enhancing management efforts.

Language: Английский

Optimising fire severity mapping using pixel-based image compositing DOI Creative Commons
Néstor Quintero, Olga Viedma, Sander Veraverbeke

et al.

Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 321, P. 114687 - 114687

Published: March 6, 2025

Language: Английский

Citations

0
The Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing DOI Creative Commons
Eduardo Rolim de Oliveira, B. Silva, Diogo Lopes

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 17(1), P. 51 - 51

Published: Dec. 27, 2024

The open burning of agricultural residues is a widespread practice with significant environmental implications. This study explores the potential satellite remote sensing to detect and analyze small-scale fires in Portugal, focusing on their spatial temporal characteristics. Using active fire detection products from various platforms, including VIIRS, MODIS, SLSTR, SEVIRI, we conducted detailed analysis across two local case studies national-scale assessment. evaluates both detections post-fire burned area estimations, using high-resolution imagery overcome limitations associated small size low intensity these fires. results indicate that while are feasible for larger-scale burning, challenges remain smaller due resolution constraints. A systematic comparison an request database further highlights need enhancement precision data improve reliability. Despite limitations, this work underscores importance tools monitoring practices enhancing management efforts.

Language: Английский

Citations

0