Uav-based Canopy Monitoring
Uav-Based Canopy Monitoring is a remote sensing methodology that utilizes unmanned aerial vehicles equipped with multispectral, hyperspectral, or RGB sensors to systematically capture high-resolution aerial imagery of vegetation canopies for the purpose of assessing biophysical parameters, canopy structure, and physiological status in precision agriculture and environmental monitoring.
300
Publications
21.5K
Citations
1.4K
Authors
489
Institutions
Publications per year
2017–2026
262
Parents
300
Juliane Bendig, Kang Yu, Helge Aasen et al. · International Journal of Applied Earth Observation and Geoinformation · 2015 · 1.2K citations
1–5 of 300
1.4K
11
h-index
11
h-index
5
h-index
5
h-index
5
h-index
1–5 of 1.4K
489

Chinese Academy of Sciences
Beijing, China
12 h-index
40 publications
2.3K citations
National Research Council
Rome, Italy
10 h-index
28 publications
2.7K citations
China Agricultural University
Beijing, China
10 h-index
40 publications
6.3K citations

Beijing Forestry University
Beijing, China
9 h-index
33 publications
2.2K citations
Istituto di Biometeorologia
Florence, Italy
8 h-index
26 publications
6.6K citations
Ministry of Agriculture and Rural Affairs
Beijing, China
8 h-index
43 publications
4.1K citations
Chinese Academy of Agricultural Sciences
Beijing, China
8 h-index
51 publications
3.3K citations

Agricultural Research Service
Washington, United States
7 h-index
19 publications
1.9K citations
1–8 of 489
53 publications · 4.2K citations
35
h-index
36 publications · 2.8K citations
32
h-index
11 publications · 1.6K citations
12
h-index
11 publications · 1.1K citations
11
h-index
JAG · 9 publications · 1.6K citations
10
h-index
1–5