Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
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Title
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data
Authors
Keywords
Forest canopy height, GEDI, ICESat-2 ATLAS, Lidar, Spatial interpolation, Deep neural network
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 269, Issue -, Pages 112844
Publisher
Elsevier BV
Online
2021-12-11
DOI
10.1016/j.rse.2021.112844
References
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