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Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau
Wu, Jian Shuang1,2; Fu, Gang1
2018
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume9Issue:2Pages:150-159
Corresponding AuthorFu, Gang(fugang09@126.com)
AbstractAboveground biomass (AGB) is a vital variable in global carbon cycling and plays important roles in ecosystem structure and function in grasslands. Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6 leaf area index (LAI) and fractional photo-synthetically active radiation absorbed by vegetation (FPAR) data were used to model AGB in alpine grasslands in the Northern Tibetan Plateau. MYD15A2H (derived from the Aqua MODIS with a temporal resolution of eight days) FPAR/LAI with lower RMSE values (< 18 gm(-2)) may have higher estimated accuracies than MOD15A2H (derived from the Terra MODIS with a temporal resolution of eight days), MCD15A2H (derived fromthe combination of Terra MODIS and Aqua MODIS with a temporal resolution of eight days) and MCD15A3H (derived from the combination of Terra MODIS and Aqua MODIS with a temporal resolution of four days) FPAR/LAI with higher RMSE values (> 20 g m(-2)). The RMSE values (11.42-13.27 g m(-2)) in the open grazed areas were lower than those (17.46-17.56 g m(-2)) in fenced areas for MYD15A2H. Therefore, the estimated accuracies of AGB may vary among the four MODIS FPAR/LAI products and land use types in alpine grasslands of the Northern Tibetan Plateau.
DOI10.1080/2150704X.2017.1407045
WOS KeywordCLIMATE-CHANGE ; AVAILABILITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research Projects of China[2017YFA0604801] ; National Key Research Projects of China[2016YFC0502005] ; National Natural Science Foundation of China[31600432] ; National Natural Science Foundation of China[41571042] ; Science and Technology Plan Projects of Tibet Autonomous Region (Forage Grass Industry) ; Youth Innovation Research Team Project of Key Laboratory of Ecosystem Network Observation and Modeling[LENOM2016Q0002]
Funding OrganizationNational Key Research Projects of China ; National Natural Science Foundation of China ; Science and Technology Plan Projects of Tibet Autonomous Region (Forage Grass Industry) ; Youth Innovation Research Team Project of Key Laboratory of Ecosystem Network Observation and Modeling
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000428631700006
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57321
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFu, Gang
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing, Peoples R China
2.Free Univ Berlin, Inst Biol, Biodivers Theoret Ecol, Berlin, Germany
Recommended Citation
GB/T 7714
Wu, Jian Shuang,Fu, Gang. Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau[J]. REMOTE SENSING LETTERS,2018,9(2):150-159.
APA Wu, Jian Shuang,&Fu, Gang.(2018).Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau.REMOTE SENSING LETTERS,9(2),150-159.
MLA Wu, Jian Shuang,et al."Modelling aboveground biomass using MODIS FPAR/LAI data in alpine grasslands of the Northern Tibetan Plateau".REMOTE SENSING LETTERS 9.2(2018):150-159.
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