Estimation of Winter Wheat Stem Biomass by a Novel Two-Component and Two-Parameter Stratified Model...
Estimation of Winter Wheat Stem Biomass by a Novel Two-Component and Two-Parameter Stratified Model Using Proximal Remote Sensing and Phenological Variables
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Author / Creator
Chen, Weinan , Yang, Guijun , Meng, Yang , Feng, Haikuan , Li, Heli , Tang, Aohua , Zhang, Jing , Xu, Xingang , Yang, Hao , Li, Changchun and Li, Zhenhong
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Contents
The timely and precise estimation of stem biomass is critical for monitoring the crop growing status. Optical remote sensing is limited by the penetration of sunlight into the canopy depth, and thus directly estimating winter wheat stem biomass via canopy spectra remains a difficult task. There is a stable linear relationship between the stem dry b...
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Full title
Estimation of Winter Wheat Stem Biomass by a Novel Two-Component and Two-Parameter Stratified Model Using Proximal Remote Sensing and Phenological Variables
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TN_cdi_doaj_primary_oai_doaj_org_article_e3d120c05e5546d4a7f7fa844bb8bb65
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3d120c05e5546d4a7f7fa844bb8bb65
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16224300
