A Quadratic Morphological Deep Neural Network Fusing Radar and Optical Data for the Mapping of Burned Areas
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3175452
Abstract: Wildfires are considered as one of the most disturbing factors in forest areas and high-density vegetation regions. The mapping of wildfires is particularly important for fire prediction and burned biomass estimation. Therefore, accurate and timely… read more here.
Keywords: quadratic morphological; network; mapping burned; burned areas ... See more keywords
On the Mapping of Burned Areas and Burn Severity Using Self Organizing Map and Sentinel-2 Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2934503
Abstract: In this letter, we propose an approach based on the use of Sentinel-2 spectral indices and self-organizing map (SOM) to automatically map burned areas and burned severity. These analyses were performed on a test area… read more here.
Keywords: mapping burned; areas burn; burned areas; organizing map ... See more keywords