Vegetation Height Mapping
Vegetation Height Mapping is a remote sensing methodology that quantifies the vertical structure of plant canopies by deriving height metrics from LiDAR point cloud or raster data through the differential analysis of ground and first-return elevations.
301
Publications
19.4K
Citations
1.1K
Authors
482
Institutions
Publications per year
2017–2026
133
Parents
301
Mapping forest canopy height globally with spaceborne lidar
Marc Simard, N. Pinto, Joshua B. Fisher et al. · Journal of Geophysical Research Atmospheres · 2011 · 1.3K citations · Full text
A high-resolution canopy height model of the Earth
Nico Lang, Walter Jetz, Konrad Schindler et al. · Nature Ecology & Evolution · 2023 · 582 citations · Full text
Natural Resources, Biodiversity Conservation, Earth Sciences +17
Pablo J. Zarco‐Tejada, Ramón Alberto Díaz Varela, P. Loudjani · European Journal of Agronomy · 2014 · 528 citations
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482

Chinese Academy of Sciences
Beijing, China
16 h-index
84 publications
6.2K citations
University of Maryland, College Park
College Park, United States
14 h-index
30 publications
3.4K citations
University of Chinese Academy of Sciences
Beijing, China
13 h-index
39 publications
2.7K citations
Institute of Remote Sensing and Digital Earth
Beijing, China
12 h-index
38 publications
2.1K citations
Goddard Space Flight Center
Greenbelt, United States
11 h-index
20 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
34 publications
1.5K citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
9 h-index
15 publications
1.1K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
8 h-index
25 publications
2K citations
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50 publications · 2.5K citations
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24 publications · 3.1K citations
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14 publications · 514 citations
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10 publications · 543 citations
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9 publications · 630 citations
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