Multi-Sensor, Active Fire-Supervised, One-Class Burned Area Mapping in the Brazilian Savanna

Multi-Sensor, Active Fire-Supervised, One-Class Burned Area Mapping in the Brazilian Savanna

Increasing efforts are being devoted to understanding fire patterns and changes highlighting the need for a consistent database about the location and extension of burned areas (BA). Satellite-derived BA mapping accuracy in the Brazilian savannas is limited by the underestimation of burn scars from...

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Bibliographic Details
Main Authors: Allan A. Pereira, Renata Libonati, Julia A. Rodrigues, Joana Nogueira, Filippe L. M. Santos, Duarte Oom, Waislan Sanches, Swanni T. Alvarado, José M. C. Pereira
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Remote Sensing
Subjects:
Landsat
VIIRS
machine learning
one-class classification
Cerrado
burned area
Online Access:https://www.mdpi.com/2072-4292/13/19/4005

Internet

https://www.mdpi.com/2072-4292/13/19/4005

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