Paper Info
Title
Fusion Of Lidar And Radar For Vegetation Structure And Biomass Retrieval
Abstract
The objective of this study is to develop a fusion scheme to fuse LiDAR and radar data to retrieve vegetation structure and biomass using Bayesian inversion. The common Geometric Optical and Radiative Transfer model developed for discontinuous plant canopy are used to simulate LiDAR and radar backscattering. Preliminary inversion results show tha tree density can be retrieved with most accuracy and then to crown size and the least to foliage area volume density. Ongoing work is to apply this fusion scheme to real LiDAR and radar data collected in New England region.
Year
DOI
Venue
2016
10.1109/IGARSS.2016.7730393
2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Field
DocType
ISSN
Meteorology,Radar,Vegetation,Computer science,Inversion (meteorology),Backscatter,Remote sensing,Fusion,Atmospheric radiative transfer codes,Lidar,Fuse (electrical)
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
1
Name
Order
Citations
PageRank
Wenge Ni-Meister1133.60