Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data

Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data

This paper presents the first global burned area (BA) product derived from the land long term data record (LTDR), a long-term 0.05-degree resolution dataset generated from advanced very high resolution radiometer (AVHRR) images. Daily images were combined in monthly composites using the maximum temp...

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Bibliographic Details
Main Authors:	Gonzalo Otón, Rubén Ramo, Joshua Lizundia-Loiola, Emilio Chuvieco
Format:	Article
Language:	English
Published:	MDPI AG 2019-09-01
Series:	Remote Sensing
Subjects:	remote sensing burned area AVHRR-LTDR multitemporal Random Forest algorithm FireCCILT10
Online Access:	https://www.mdpi.com/2072-4292/11/18/2079

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Correction: Otón, G., et al. Global Detection of Long-Term (1982–2017) Burned Area with AVHRR-LTDR Data. <i>Remote Sensing</i> 2019, <i>11</i>, 2079
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