Remote Sensing Change Attribution
Remote Sensing Change Attribution is a scientific methodology that identifies and quantifies the causal drivers of observed environmental changes by analyzing temporal remote sensing data to distinguish between natural and anthropogenic forcing factors.
42
Publications
3.1K
Citations
222
Authors
133
Institutions
Publications per year
2017–2026
21
Parents
42
1–5 of 42
222
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1–5 of 222
133

Chinese Academy of Sciences
Beijing, China
9 h-index
27 publications
1.2K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
8 publications
431 citations
Met Office
Exeter, United Kingdom
3 h-index
3 publications
416 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
2 h-index
4 publications
167 citations

Nanjing University of Information Science and Technology
Nanjing, China
2 h-index
6 publications
2K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
2 h-index
3 publications
203 citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
2.1K citations

UNSW Sydney
Sydney, Australia
2 h-index
5 publications
156 citations
1–8 of 133
3 publications · 366 citations
3
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2 publications · 70 citations
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2 publications · 107 citations
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2 publications · 43 citations
2
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ESPR · 2 publications · 137 citations
2
h-index
1–5