Forest AGB Estimation using L-Band Polarimetric SAR Features
Author:
Affiliation:
1. Southwest Forestry University,College of Forestry,Kunming,China
2. The University of Stirling,Biological and Environmental Sciences,Stirling,UK,FK9 4LA
3. Southwest Forestry University,School of Geography and Ecotourism,Kunming,China,650224
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10281619.pdf?arnumber=10281619
Reference12 articles.
1. Forest Above-Ground Biomass Estimation Using KNN-FIFS Method Based on Multi-Source Remote Sensing Data;han;Scientia Silvae Sinicae,2018
2. Tree allometry and improved estimation of carbon stocks and balance in tropical forests;j;Oecologia,2005
3. Stelmaszczuk-Górska, M. Polarimetric Parameters for Growing Stock Volume EstimationUsing ALOS PALSAR L-Band Data over Siberian Forests;chowdhury;Remote Sens,2019
4. Incoherent Target Scattering Decomposition of Polarimetric SAR Data Based on Vector Model Roll-Invariant Parameters
5. Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon
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