Remote Sensing Based Two-Stage Sampling for Accuracy Assessment and Area Estimation of Land Cover Changes

Remote Sensing Based Two-Stage Sampling for Accuracy Assessment and Area Estimation of Land Cover Changes

Land cover change processes are accelerating at the regional to global level. The remote sensing community has developed reliable and robust methods for wall-to-wall mapping of land cover changes; however, land cover changes often occur at rates below the mapping errors. In the current publication,...

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Bibliographic Details
Main Authors: Heinz Gallaun, Martin Steinegger, Roland Wack, Mathias Schardt, Birgit Kornberger, Ursula Schmitt
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Remote Sensing
Subjects:
land cover change
deforestation
REDD monitoring
accuracy assessment
area estimation
sampling
bootstrapping
confidence interval
Online Access:http://www.mdpi.com/2072-4292/7/9/11992

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http://www.mdpi.com/2072-4292/7/9/11992

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