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GSV: a general model for hyperspectral soil reflectance simulation
Jiang, Chongya; Fang, Hongliang
2019-11-01
Source PublicationINTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN0303-2434
Volume83Pages:13
Corresponding AuthorJiang, Chongya(chongya.jiang@gmail.com)
AbstractSoil background reflectance is a critical component in canopy radiative transfer (RT) models. However, few efforts have been devoted to the development of soil reflectance models compared to other components in canopy RT models. In the spectral domain of soil reflectance, spectral vector models are more flexible than typical spectra models, but its characteristics and performance are poorly understood and validated. To improve the understanding of hyperspectral soil reflectance modeling, this study conducted a comprehensive diagnostic analysis on different spectral vectors derivation algorithms, the impact of training datasets on model performance, and the soil moisture effect in modeling: With improved understanding, a general spectral vectors (GSV) model was developed. The model employs three dry spectral vectors and one humid spectral vector derived from global dry and humid soil reflectance databases including 23,871 soil spectra (400-2500 nm), using a matrix decomposition algorithm. A comprehensive evaluation shows that separate modeling of dry and humid soils and the usage of global training data significantly improved the performance of spectral vectors model, while the choice of spectral vectors derivation algorithm has little influence on model performance. Overall, the GSV model accurately simulates global soil reflectance with an R-2 of 0.99 and RMSE of 0.01, superior to the widely-used Price model. In particular, the performance of GSV was robust over various soil types and under different moisture conditions. Coupling with the GSV model substantially reduced errors of 3D and 1D canopy RT modeling. The proposed GSV model has great potentials for vegetation remote sensing studies.
KeywordSoil reflectance General spectral vectors (GSV) model Canopy radiative transfer model Hyperspectral
DOI10.1016/j.jag.2019.101932
WOS KeywordLEAF-AREA INDEX ; SURFACE REFLECTANCE ; OPTICAL-PROPERTIES ; SPECTRAL REFLECTANCE ; CHLOROPHYLL CONTENT ; VEGETATION LAI ; ULTRA-VIOLET ; CANOPY ; RETRIEVAL ; MOISTURE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41471295] ; National Natural Science Foundation of China[41171333] ; Hundred Talent Program of the Chinese Academy of Sciences
Funding OrganizationNational Natural Science Foundation of China ; Hundred Talent Program of the Chinese Academy of Sciences
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000487574200018
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69588
Collection中国科学院地理科学与资源研究所
Corresponding AuthorJiang, Chongya
AffiliationChinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A,Datun Rd, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Jiang, Chongya,Fang, Hongliang. GSV: a general model for hyperspectral soil reflectance simulation[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2019,83:13.
APA Jiang, Chongya,&Fang, Hongliang.(2019).GSV: a general model for hyperspectral soil reflectance simulation.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,83,13.
MLA Jiang, Chongya,et al."GSV: a general model for hyperspectral soil reflectance simulation".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 83(2019):13.
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