Burned Area Mapping in the Brazilian Savanna Using a One-Class Support Vector Machine Trained by Active Fires

We used the Visible Infrared Imaging Radiometer Suite (VIIRS) active fire data (375 m spatial resolution) to automatically extract multispectral samples and train a One-Class Support Vector Machine for burned area mapping, and applied the resulting classification algorithm to 300-m spatial resolutio...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 9; no. 11; p. 1161
Main Authors:	Pereira, Allan, Pereira, José, Libonati, Renata, Oom, Duarte, Setzer, Alberto, Morelli, Fabiano, Machado-Silva, Fausto, De Carvalho, Luis
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2017
Subjects:	active fire Algorithms Autonomy burned area Cerrado Fires First aid Image classification Infrared imaging Infrared radiometers Landsat Landsat satellites Mapping MODIS PROBA-V Radiometry Reflectance Remote sensing Satellite imagery Savannahs Scars Spatial data Spatial discrimination Spatial resolution support vector machine one class VIIRS
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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