Joint Use of Airborne LiDAR Metrics and Topography Information to Estimate Forest Parameters via Neural Networks
Author:
Affiliation:
1. Univ. Montpellier,INRAE, UMR TETIS,Montpellier,France
2. Univ. Grenoble Alpes,INRAE, LESSEM,Grenoble,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842860/9842863/09843039.pdf?arnumber=9843039
Reference23 articles.
1. Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
2. On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters
3. Effects of different flying altitudes on biophysical stand properties estimated from canopy height and density measured with a small-footprint airborne scanning laser
4. A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing
5. PTrees: A point-based approach to forest tree extraction from lidar data
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1. Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests;Remote Sensing;2022-12-10
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