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Deep Learning for Forest Canopy Height Estimation from SAR
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023Mahesh, Ragini Bal, Hänsch, Ronny
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Most military activities need good concealment from a top down view, i.e. from surveillance carried out by flying assets 1. On the one hand, well hidden positions and sites are to be expected in forested areas. However, depending on the height of the trees and crown parameters as well as the tree species’ composition, the concealing effect can be ...
Vennik, Kersti, Lang, Mait
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Vennik, Kersti, Lang, Mait
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Mapping global forest canopy height through integration of GEDI and Landsat data
Remote Sensing of Environment, 2021Peter Potapov +2 more
exaly
Forest Canopy Height Estimation based on InSAR Coherence
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumRuyi Wei +4 more
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Forest Canopy Height Extraction Method Based on ICESat-2/ATLAS Data
IEEE Transactions on Geoscience and Remote Sensing, 2023Xiang Huang +4 more
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A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height
Remote Sensing of Environment, 2016Guicai Li, Zhaodi Guo, Shihao Tang
exaly