Title | ||
---|---|---|
Differentiating Tree and Shrub LAI in a Mixed Forest With ICESat/GLAS Spaceborne LiDAR. |
Abstract | ||
---|---|---|
Leaf area index (LAI) is an important descriptor of many biological and physical processes of vegetation. However, the challenges associated with differentiating tree and shrub LAI (tsLAI) have hindered research in mixed forests. Being the first spaceborne LiDAR system, geoscience laser altimeter system (GLAS) has demonstrated its advantage in collecting extensive forest structure information. In ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/JSTARS.2016.2557074 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Vegetation,Laser radar,Vegetation mapping,Remote sensing,Earth,Indexes,Ice | Populus euphratica,Leaf area index,Vegetation,Altimeter,Shrub,Remote sensing,Mean squared error,Lidar,Mathematics,Linear regression | Journal |
Volume | Issue | ISSN |
10 | 1 | 1939-1404 |
Citations | PageRank | References |
4 | 0.50 | 14 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jinyan Tian | 1 | 25 | 4.52 |
Le Wang | 2 | 18 | 2.94 |
Xiaojuan Li | 3 | 51 | 12.27 |
Chen Shi | 4 | 6 | 1.97 |
Huili Gong | 5 | 88 | 29.37 |