Remote Sensing-based Population Estimation
Remote Sensing-Based Population Estimation is a population mapping method that utilizes satellite and aerial remote sensing data to spatially model and predict human population distributions by integrating environmental, built-up, and land use features as proxies for human settlement patterns.
149
Publications
11.7K
Citations
522
Authors
229
Institutions
Publications per year
2017–2026
64
Parents
149
1–5 of 149
522
8
h-index
4
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4
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4
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1–5 of 522
229
University of Southampton
Southampton, United Kingdom
12 h-index
34 publications
5.1K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
45 publications
3.6K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
19 publications
1.5K citations

University of Twente
Enschede, The Netherlands
7 h-index
13 publications
733 citations
Wuhan University
Wuhan, China
6 h-index
15 publications
402 citations

Zhejiang University
Hangzhou, China
5 h-index
13 publications
1.5K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
5 h-index
18 publications
1.5K citations

University of Wisconsin–Milwaukee
Milwaukee, United States
4 h-index
6 publications
247 citations
1–8 of 229
16 publications · 617 citations
16
h-index
16 publications · 1.6K citations
16
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7 publications · 656 citations
7
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7 publications · 1.7K citations
7
h-index
5 publications · 332 citations
5
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1–5