Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species
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Title
Using unclassified continuous remote sensing data to improve distribution models of red-listed plant species
Authors
Keywords
Endangered plant species, GAM, High-latitude landscape, Landsat ETM+, Predictive modelling, Productivity, Remote sensing
Journal
BIODIVERSITY AND CONSERVATION
Volume 22, Issue 8, Pages 1731-1754
Publisher
Springer Nature
Online
2013-06-15
DOI
10.1007/s10531-013-0509-1
References
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