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Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing.

Abstract:

Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth's land surface processes. However, the lack of regularly updated, continental-scale, and high spatial resolution (30 m) land cover data limit our ability to better understand the spatial extent and the temporal dynamics of land surface changes. Despite the free availability of high spatial resolution Landsat satellite data, continental-scale land cover m...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1371/journal.pone.0184926

Authors


Midekisa, A More by this author
Savory, DJ More by this author
Andrade-Pacheco, R More by this author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Human Genetics Wt Centre
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Bill and Melinda Gates Foundation More from this funder
Novartis Foundation for Sustainable Development More from this funder
Parker Foundation More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS One Journal website
Volume:
12
Issue:
9
Pages:
e0184926
Publication date:
2017-09-05
Acceptance date:
2017-09-02
DOI:
EISSN:
1932-6203
Pubs id:
pubs:735008
URN:
uri:9017d089-4d28-48bd-84d6-c4eb3f0eae49
UUID:
uuid:9017d089-4d28-48bd-84d6-c4eb3f0eae49
Local pid:
pubs:735008
Language:
English
Keywords:

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