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Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model
Li, He1; Liu, Gaohuan1; Liu, Qingsheng1; Chen, Zhongxin2; Huang, Chong1
2018-04-01
Source PublicationSENSORS
ISSN1424-8220
Volume18Issue:4Pages:18
Corresponding AuthorHuang, Chong(huangch@lreis.ac.cn)
AbstractLeaf area index (LAI) is one of the key biophysical parameters in crop structure. The accurate quantitative estimation of crop LAI is essential to verify crop growth and health. The PROSAIL radiative transfer model (RTM) is one of the most established methods for estimating crop LAI. In this study, a look-up table (LUT) based on the PROSAIL RTM was first used to estimate winter wheat LAI from GF-1 data, which accounted for some available prior knowledge relating to the distribution of winter wheat characteristics. Next, the effects of 15 LAI-LUT strategies with reflectance bands and 10 LAI-LUT strategies with vegetation indexes on the accuracy of the winter wheat LAI retrieval with different phenological stages were evaluated against in situ LAI measurements. The results showed that the LUT strategies of LAI-GNDVI were optimal and had the highest accuracy with a root mean squared error (RMSE) value of 0.34, and a coefficient of determination (R-2) of 0.61 during the elongation stages, and the LUT strategies of LAI-Green were optimal with a RMSE of 0.74, and R-2 of 0.20 during the grain-filling stages. The results demonstrated that the PROSAIL RTM had great potential in winter wheat LAI inversion with GF-1 satellite data and the performance could be improved by selecting the appropriate LUT inversion strategies in different growth periods.
Keywordleaf area index PROSAIL look-up table GF-1 winter wheat
DOI10.3390/s18041120
WOS KeywordRADIATIVE-TRANSFER MODEL ; VEGETATION BIOPHYSICAL PARAMETERS ; NEURAL-NETWORK ESTIMATION ; CANOPY REFLECTANCE DATA ; CHLOROPHYLL CONTENT ; SPECTRAL REFLECTANCE ; HYPERSPECTRAL DATA ; GLOBAL PRODUCTS ; LAI ESTIMATION ; MODIS DATA
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41471335] ; National Natural Science Foundation of China[41661144030] ; National Natural Science Foundation of China[61661136006] ; Innovation Project of State Key Laboratory of Resources and Environmental Information System[O88RA303YA]
Funding OrganizationNational Natural Science Foundation of China ; Innovation Project of State Key Laboratory of Resources and Environmental Information System
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000435574800192
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54658
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Chong
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Li, He,Liu, Gaohuan,Liu, Qingsheng,et al. Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model[J]. SENSORS,2018,18(4):18.
APA Li, He,Liu, Gaohuan,Liu, Qingsheng,Chen, Zhongxin,&Huang, Chong.(2018).Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model.SENSORS,18(4),18.
MLA Li, He,et al."Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model".SENSORS 18.4(2018):18.
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