Mapping Forest Canopy Height at Large Scales Using ICESat-2 and Landsat: An Ecological Zoning Random Forest Approach
Author:
Affiliation:
1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Funder
National Natural Science Foundation of China: Study on Precise Extraction and Modeling of Urban Trees from Airborne and Vehicle LiDAR Point Clouds
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/09998516.pdf?arnumber=9998516
Reference66 articles.
1. Estimates of forest canopy height and aboveground biomass using ICESat
2. More than climate? Predictors of tree canopy height vary with scale in complex terrain, Sierra Nevada, CA (USA)
3. Using LiDAR to compare forest height estimates from IKONOS and Landsat ETM+ data in Sitka spruce plantation forests
4. Topography-associated thermal gradient predicts warming effects on woody plant structural diversity in a subtropical forest
5. Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data
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