Raster Data Representation
Raster Data Representation is a spatial data representation method that models geographic phenomena as a regular grid of cells, each storing a value representing an attribute measured at a specific location, distinguished by its discrete, pixelated structure as opposed to continuous or vector-based forms.
147
Publications
6.1K
Citations
416
Authors
212
Institutions
Publications per year
2017–2026
52
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A new global raster water mask at 250 m resolution
Mark Carroll, J. R. Townshend, C. Dimiceli et al. · International Journal of Digital Earth · 2009 · 378 citations
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Institute of Geographic Sciences and Natural Resources Research
Beijing, China
7 h-index
17 publications
459 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
19 publications
830 citations
Wuhan University
Wuhan, China
3 h-index
9 publications
237 citations
University of Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
137 citations
United States Geological Survey
Reston, United States
3 h-index
5 publications
353 citations
Joint Research Centre
Ispra, Italy
3 h-index
4 publications
477 citations
University of California, Riverside
Riverside, United States
3 h-index
13 publications
256 citations

Universidade da Coruña
A Coruña, Spain
3 h-index
10 publications
227 citations
1–8 of 212
11 publications · 449 citations
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5 publications · 145 citations
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IJGI · 4 publications · 117 citations
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TPAMI · 4 publications · 409 citations
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3 publications · 184 citations
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