Canopy Structure Retrieval
Canopy Structure Retrieval is a methodological framework within lidar remote sensing that enables the characterization of vertical and horizontal foliage distribution in vegetated ecosystems through three-dimensional point cloud analysis and geometric modeling.
230
Publications
18.9K
Citations
909
Authors
370
Institutions
Publications per year
2017–2026
84
Parents
230
1–5 of 230
909
11
h-index
11
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1–5 of 909
370
Goddard Space Flight Center
Greenbelt, United States
20 h-index
35 publications
5.8K citations
University of Maryland, College Park
College Park, United States
19 h-index
32 publications
3.9K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
96 publications
4.9K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
13 h-index
91 publications
2.1K citations

Beijing Normal University
Beijing, China
12 h-index
82 publications
1.8K citations
University of Zurich
Zurich, Switzerland
12 h-index
52 publications
4.7K citations
Jet Propulsion Laboratory
Pasadena, United States
10 h-index
13 publications
995 citations
Institute of Remote Sensing and Digital Earth
Beijing, China
10 h-index
56 publications
1.1K citations
1–8 of 370
63 publications · 7.7K citations
47
h-index
22 publications · 2.2K citations
21
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15 publications · 1.3K citations
15
h-index
17 publications · 808 citations
14
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JAG · 15 publications · 810 citations
13
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