Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery

Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery

Fire in Brazilian Pantanal represents a serious threat to biodiversity. The Brazilian National Institute of Spatial Research (INPE) has a program named Queimadas, which estimated from January 2020 to October 2020, a burned area in Pantanal of approximately 40,606 km<inline-formula><math xml...

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Bibliographic Details
Main Authors: Leandro Higa, José Marcato Junior, Thiago Rodrigues, Pedro Zamboni, Rodrigo Silva, Laisa Almeida, Veraldo Liesenberg, Fábio Roque, Renata Libonati, Wesley Nunes Gonçalves, Jonathan Silva
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
remote sensing
wildfire
object detection
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/14/3/688

Internet

https://www.mdpi.com/2072-4292/14/3/688

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