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
文献类型：期刊论文
| 作者 | Wei, Shanshan1,2; Fang, Hongliang1,2
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| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2016-12-15 |
| 卷号 | 187页码:476-491 |
| 关键词 | Vegetation clumping index Normalized difference hotspot and darkspot (NDHD) MISR MODIS BRDF VALERI |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2016.10.039 |
| 通讯作者 | Wei, Shanshan(weiss@lreis.ac.cn) |
| 英文摘要 | Clumping 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. |
| WOS关键词 | LEAF-AREA INDEX ; DIGITAL HEMISPHERICAL PHOTOGRAPHY ; BIDIRECTIONAL REFLECTANCE MODEL ; SIZE ANALYSIS THEORY ; SEASONAL-VARIATION ; VEGETATION COVER ; BOREAL FORESTS ; SATELLITE DATA ; ENERGY FLUXES ; LAI PRODUCTS |
| 资助项目 | National Natural Science Foundation of China[41471295] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000390494000034 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/65384]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wei, Shanshan |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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