ORIGINAL RESEARCH
Published on 17 Oct 2025
SenFus-CHCNet: a multi-resolution fusion framework for sparse-supervised canopy height classification
doi 10.3389/frsen.2025.1666123
- 902 views
- Frontiers in Remote Sensing
- Multi- and Hyper-Spectral Imaging
- Research Topics
- Advancing Biodiversity Assessment in Protected Areas through Remote Sensing Techniques
Advancing Biodiversity Assessment in Protected Areas through Remote Sensing Techniques
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Articles
ORIGINAL RESEARCH
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Use of GLOBE observer citizen science data to validate continental-scale canopy height maps derived from ICESat-2 and GEDI
doi 10.3389/fenvs.2025.1635707
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Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China
doi 10.3389/ffgc.2025.1431603
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Spectral imaging of grass species in arid ecosystems of Namibia
doi 10.3389/frsen.2024.1368551
- 6,688 views
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