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Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle
Wei, Shanshan1,2; Fang, Hongliang1,2
2016-12-15
Source PublicationREMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
Volume187Pages:476-491
Corresponding AuthorWei, Shanshan(weiss@lreis.ac.cn)
AbstractClumping index (CI) describes the spatial distribution pattern of foliage, and is a critical parameter to characterize the terrestrial ecosystem and model land-surface processes. Global and regional scale CI maps have been generated from POLDER, MODIS, and MISR sensors based on an empirical relationship with the normalized difference between hotspot and darkspot (NDHD) index by previous studies. However, the hotspot, darkspot, and CI values can be considerably different from different bidirectional reflectance distribution function (BRDF) models and solar zenith angles (SZA). In this study, we evaluated the effects of different configurations of BRDF models and SZA values on CI estimation using the NDHD method. CI maps derived from MISR and MODIS were compared with reference data at the VALERI sites. Results show that for moderate to least clumped vegetation (CI > 0.5), CI values retrieved with the observational SZA agree well with field measurements, while SZA = 0 degrees underestimates, and SZA = 60 overestimates. For highly clumped (CI < 0.5) and sparsely vegetated areas (FCOVER <25%), the Ross-Li model with 60 SZA is recommended for CI estimation. The best NDHD configuration was used to estimate a 15-year time series CI from MODIS BRDF data. The time series CI shows a reasonable seasonal trajectory, and varies consistently with the MODIS leaf area index (LAI). This study enables better usage of the NDHD method for CI estimation, and can be a useful reference for research on Cl validation. (C) 2016 Elsevier Inc. All rights reserved.
KeywordVegetation clumping index Normalized difference hotspot and darkspot (NDHD) MISR MODIS BRDF VALERI
DOI10.1016/j.rse.2016.10.039
WOS KeywordLEAF-AREA INDEX ; DIGITAL HEMISPHERICAL PHOTOGRAPHY ; BIDIRECTIONAL REFLECTANCE MODEL ; SIZE ANALYSIS THEORY ; SEASONAL-VARIATION ; VEGETATION COVER ; BOREAL FORESTS ; SATELLITE DATA ; ENERGY FLUXES ; LAI PRODUCTS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41471295]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEnvironmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000390494000034
PublisherELSEVIER SCIENCE INC
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/65385
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWei, Shanshan
Affiliation1.Chinese Acad Sci, LREIS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Wei, Shanshan,Fang, Hongliang. Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle[J]. REMOTE SENSING OF ENVIRONMENT,2016,187:476-491.
APA Wei, Shanshan,&Fang, Hongliang.(2016).Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle.REMOTE SENSING OF ENVIRONMENT,187,476-491.
MLA Wei, Shanshan,et al."Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle".REMOTE SENSING OF ENVIRONMENT 187(2016):476-491.
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