Forest Canopy Height Estimation based on InSAR Coherence
Author:
Affiliation:
1. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,China,518107
2. Shenzhen University,College of Civil and Transportation Engineering,Shenzhen,China,518060
Funder
State Key Laboratory of Geo-Information Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640495.pdf?arnumber=10640495
Reference16 articles.
1. Mapping forest canopy height globally with spaceborne lidar
2. Radar backscatter and biomass saturation: ramifications for global biomass inventory
3. Speckle filtering and coherence estimation of polarimetric sar interferometry data for forest applications
4. Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers
5. On the Value of Sentinel-1 InSAR Coherence Time-Series for Vegetation Classification
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