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MAD-MEX: Automatic Wall-to-Wall Land Cover Monitoring for the Mexican REDD-MRV Program Using All Landsat Data

Estimating forest area at a national scale within the United Nations program of Reducing Emissions from Deforestation and Forest Degradation (REDD) is primarily based on land cover information using remote sensing technologies. Timely delivery for a country of a size like Mexico can only be achieved...

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Autori principali: Steffen Gebhardt, Thilo Wehrmann, Miguel Angel Muñoz Ruiz, Pedro Maeda, Jesse Bishop, Matthias Schramm, Rene Kopeinig, Oliver Cartus, Josef Kellndorfer, Rainer Ressl, Lucio Andrés Santos, Michael Schmidt
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2014-04-01
Serie:Remote Sensing
Soggetti:
REDD+
MRV
activity data
land cover
baseline
monitoring
Landsat
Mexico
Accesso online:http://www.mdpi.com/2072-4292/6/5/3923
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