A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1746-4811
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages ; volume:16 ; number:1 ; day:31 ; month:7 ; year:2020 ; pages:1-18 ; date:12.2020
Plant methods ; 16, Heft 1 (31.7.2020), 1-18, 12.2020
- Creator
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Yue, Jibo
Feng, Haikuan
Tian, Qingjiu
Zhou, Chengquan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13007-020-00643-z
- URN
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urn:nbn:de:101:1-2020092723144712639540
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 11:53 PM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yue, Jibo
- Feng, Haikuan
- Tian, Qingjiu
- Zhou, Chengquan
- SpringerLink (Online service)
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Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts
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Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance
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Regional detection of canopy nitrogen in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index
Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts
Multifractal analysis of oceanic chlorophyll maps remotely sensed from space
Evaluating prediction models for mapping canopy chlorophyll content across biomes
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Mapping canopy chlorophyll content in a temperate forest using airborne hyperspectral data
Genome-wide association study and genomic selection for soybean chlorophyll content associated with soybean cyst nematode tolerance
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Estimating apple tree canopy chlorophyll content based on Sentinel-2A remote sensing imaging
Canopy chlorophyll fluorescence applied to stress detection using an easy-to-build micro-lidar
Genetic mapping reveals the complex genetic architecture controlling slow canopy wilting in soybean
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