Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method
Urban forest canopy height is an important indicator for urban carbon storage, vegetation ecosystems services, and devising effective forest management strategies to combat global climate change. Although both spaceborne or airborne light detection and ranging could offer forest canopy height inform...
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| Main Authors: | Kun Xiao, Xiaoyang Zhao, Ying Ding, Chen Huang, Jueyu Lin, Yuxuan Mai, Ying Sun, Qinchuan Xin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10902494/ |
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