Remote Sensing-based Variability Assessment
Remote Sensing-Based Variability Assessment is a methodological framework within spatial variability analysis that utilizes remotely sensed data to quantify and characterize the spatial heterogeneity of surface phenomena across multiple temporal and spectral scales.
122
Publications
7.2K
Citations
523
Authors
275
Institutions
Publications per year
2017–2026
41
Parents
122
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523
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275

Chinese Academy of Sciences
Beijing, China
6 h-index
11 publications
443 citations
Goddard Space Flight Center
Greenbelt, United States
5 h-index
11 publications
1.2K citations
Boston University
Boston, United States
4 h-index
7 publications
564 citations
University of Colorado Boulder
Boulder, United States
4 h-index
7 publications
252 citations
Oregon State University
Corvallis, United States
4 h-index
6 publications
490 citations
CSIRO Oceans and Atmosphere
Canberra, Australia
4 h-index
8 publications
284 citations

Université Laval
Québec, Canada
3 h-index
6 publications
405 citations
National Research Council
Rome, Italy
3 h-index
9 publications
325 citations
1–8 of 275
JGR · 8 publications · 745 citations
8
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7 publications · 526 citations
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7 publications · 364 citations
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5 publications · 163 citations
5
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4 publications · 197 citations
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