Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning
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Title
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning
Authors
Keywords
Polarimetric synthetic aperture radar (PolSAR), LiDAR, L-band, Forest height, Machine learning
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 172, Issue -, Pages 79-94
Publisher
Elsevier BV
Online
2020-12-19
DOI
10.1016/j.isprsjprs.2020.11.008
References
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Related references
Note: Only part of the references are listed.- High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
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- Potential of Space-Borne PolInSAR for Forest Canopy Height Estimation Over India—A Case Study Using Fully Polarimetric L-, C-, and X-Band SAR Data
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