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  A mixed training sample-based spectral unmixing analysis for improving fractional abundance estimation of Detroit landscape endmembers using Landsat images
 
 
Title: A mixed training sample-based spectral unmixing analysis for improving fractional abundance estimation of Detroit landscape endmembers using Landsat images
Author: Chen, Shu
Wang, Guangxing
Xu, Xiaoyu
Ouyang, Zidu
Li, Ruopu
Remo, Jonathan W
Groninger, John W.
Gibson, David J.
Appeared in: Urban forestry & urban greening
Paging: Volume 107 () nr. C pages p.
Year: 2025
Contents:
Publisher: Elsevier GmbH
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 68 found articles
 
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