Forest Volume Estimation Method Based on Allometric Growth Model and Multisource Remote Sensing Data
Author:
Affiliation:
1. College of Resource Environment and Tourism, Capital Normal University, Beijing, China
Funder
R&D Program of Beijing Municipal Education Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10244018.pdf?arnumber=10244018
Reference64 articles.
1. Examining the Role of UAV Lidar Data in Improving Tree Volume Calculation Accuracy
2. Tensor Levenberg-Marquardt Algorithm for Multi-Relational Traffic Prediction
3. An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data
4. Dependence of NDVI and SAVI on sun/sensor geometry and its effect on fAPAR relationships in Alfalfa
5. Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy
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