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Interpolating missing land cover data using stochastic spatial random forests for improved change detection

Interpolating missing land cover data using stochastic spatial random forests for improved change... http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Remote Sensing in Ecology and Conservation Wiley

Interpolating missing land cover data using stochastic spatial random forests for improved change detection

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References (65)

Publisher
Wiley
Copyright
© 2021 Published by John Wiley & Sons Ltd.
ISSN
2056-3485
eISSN
2056-3485
DOI
10.1002/rse2.221
Publisher site
See Article on Publisher Site

Abstract

Journal

Remote Sensing in Ecology and ConservationWiley

Published: Dec 1, 2021

Keywords: Biodiversity; forest cover; random forest; satellite images; sustainable development goals; uncertainty

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