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Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer
Sun, Jia1; Shi, Shuo1,2; Gong, Wei1,2; Yang, Jian1; Du, Lin1,3; Song, Shalei4; Chen, Biwu1; Zhang, Zhenbing1
2017-01-16
Source PublicationSCIENTIFIC REPORTS
Volume7
SubtypeArticle
AbstractFast and nondestructive assessment of leaf nitrogen concentration (LNC) is critical for crop growth diagnosis and nitrogen management guidance. In the last decade, multispectral LiDAR (MSL) systems have promoted developments in the earth and ecological sciences with the additional spectral information. With more wavelengths than MSL, the hyperspectral LiDAR (HSL) system provides greater possibilities for remote sensing crop physiological conditions. This study compared the performance of ASD FieldSpec Pro FR, MSL, and HSL for estimating rice (Oryza sativa) LNC. Spectral reflectance and biochemical composition were determined in rice leaves of different cultivars (Yongyou 4949 and Yangliangyou 6) throughout two growing seasons (2014-2015). Results demonstrated that HSL provided the best indicator for predicting rice LNC, yielding a coefficient of determination (R-2) of 0.74 and a root mean square error of 2.80 mg/g with a support vector machine, similar to the performance of ASD (R-2 = 0.73). Estimation of rice LNC could be significantly improved with the finer spectral resolution of HSL compared with MSL (R-2 = 0.56).
WOS HeadingsScience & Technology
Funding OrganizationNational Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41611130114 ; 41611130114 ; 41571370) ; 41571370) ; National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41611130114 ; 41611130114 ; 41571370) ; 41571370)
DOI10.1038/srep40362
WOS KeywordTERRESTRIAL LASER SCANNER ; CHLOROPHYLL CONTENT ; PADDY RICE ; VEGETATION INDEXES ; FLUORESCENCE-SPECTRUM ; SQUARES REGRESSION ; REFLECTANCE ; WHEAT ; EFFICIENCY ; BIOMASS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41611130114 ; 41611130114 ; 41571370) ; 41571370) ; National Natural Science Foundation of China(41601360 ; National Natural Science Foundation of China(41601360 ; Natural Science Foundation of Hubei Province(2015CFA002) ; Natural Science Foundation of Hubei Province(2015CFA002) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Fundamental Research Funds for the Central Universities(2042016kf0008) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(15R01) ; 41611130114 ; 41611130114 ; 41571370) ; 41571370)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000392098400001
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.apm.ac.cn/handle/112942/9955
Collection高技术创新与发展中心
Affiliation1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
2.Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Hubei, Peoples R China
3.Wuhan Univ, Sch Phys & Technol, Wuhan 430072, Hubei, Peoples R China
4.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China
Recommended Citation
GB/T 7714
Sun, Jia,Shi, Shuo,Gong, Wei,et al. Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer[J]. SCIENTIFIC REPORTS,2017,7.
APA Sun, Jia.,Shi, Shuo.,Gong, Wei.,Yang, Jian.,Du, Lin.,...&Zhang, Zhenbing.(2017).Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer.SCIENTIFIC REPORTS,7.
MLA Sun, Jia,et al."Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer".SCIENTIFIC REPORTS 7(2017).
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