Lidar Data Fusion
LiDAR Data Fusion is the systematic integration of LiDAR-derived measurements with complementary data sources—such as optical imagery, radar, or field observations—within a unified analytical framework to enhance the accuracy, resolution, or interpretability of forest structural and phenotypic trait characterization.
547
Publications
33.5K
Citations
2K
Authors
684
Institutions
Publications per year
2017–2026
288
547
Seeing the Trees in the Forest
Sorin Popescu, Randolph H. Wynne · Photogrammetric Engineering & Remote Sensing · 2004 · 585 citations · Full text
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Chinese Academy of Sciences
Beijing, China
20 h-index
75 publications
5.5K citations
Wuhan University
Wuhan, China
15 h-index
45 publications
1.7K citations
Goddard Space Flight Center
Greenbelt, United States
15 h-index
25 publications
2K citations
University of Maryland, College Park
College Park, United States
14 h-index
34 publications
4.2K citations
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
Wuhan, China
11 h-index
20 publications
1.1K citations

UNSW Sydney
Sydney, Australia
10 h-index
20 publications
1.3K citations
Jet Propulsion Laboratory
Pasadena, United States
9 h-index
16 publications
693 citations
University of Chinese Academy of Sciences
Beijing, China
8 h-index
23 publications
1.8K citations
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34 publications · 5.4K citations
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47 publications · 1.9K citations
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19 publications · 3.4K citations
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16 publications · 1.6K citations
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