Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation
Chinese Academy of Sciences · State Key Laboratory of Remote Sensing Science · +2 more institutions
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Abstract
No abstract available for this paper.
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868
total citations
- FWCI
- 9.81
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- 100%
- References
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Authors
4- CWChaoyang WuCorresponding
Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, University of Chinese Academy of Sciences
- ZNZheng Niu
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences
- QTQuan Tang
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences
- WHWenjiang Huang
National Engineering Research Center for Information Technology in Agriculture
Topics & keywords
Topics
Keywords
- Normalized Difference Vegetation Index
- Chlorophyll
- Canopy
- Hyperspectral imaging
- Vegetation (pathology)
- Mathematics
- Enhanced vegetation index
- Remote sensing
UN Sustainable Development Goals
- Zero hunger
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