Stratified Spatial Sampling
Stratified Spatial Sampling is a spatial sampling method that partitions a geographic domain into non-overlapping subdomains or strata and independently selects samples within each stratum to ensure improved spatial coverage and representativeness.
339
Publications
14.7K
Citations
1.3K
Authors
561
Institutions
Publications per year
2017–2026
121
Parents
339
Validation of the global land cover 2000 map
Philippe Mayaux, Hugh Eva, Javier Gallego et al. · IEEE Transactions on Geoscience and Remote Sensing · 2006 · 305 citations · Full text
Saji Saraswathy Gopalan, Satyanarayan Mohanty, Ashis Das · BMJ Open · 2012 · 235 citations · Full text
1–5 of 339
1.3K
SUNY College of Environmental Science and Forestry, United States
8 publications · 699 citations
8
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6
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4
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4
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4
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1–5 of 1.3K
561
University of Siena
Siena, Italy
9 h-index
16 publications
548 citations
SUNY College of Environmental Science and Forestry
Syracuse, United States
8 h-index
10 publications
849 citations
State University of New York
Albany, United States
7 h-index
9 publications
834 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
24 publications
1.4K citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
6 h-index
18 publications
817 citations

The University of Sydney
Sydney, Australia
5 h-index
16 publications
520 citations

Beijing Normal University
Beijing, China
5 h-index
9 publications
327 citations
University of Maryland, College Park
College Park, United States
5 h-index
6 publications
221 citations
1–8 of 561
10 publications · 517 citations
10
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8 publications · 545 citations
8
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Repository · 8 publications · 343 citations
8
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7 publications · 360 citations
7
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6 publications · 243 citations
6
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1–5