Global 500 m clumping index product derived from MODIS BRDF data (2001-2017)
文献类型：期刊论文
| 作者 | Wei, Shanshan2,3; Fang, Hongliang2,3 ; Schaaf, Crystal B.4; He, Liming1,5; Chen, Jing M.1
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| 刊名 | REMOTE SENSING OF ENVIRONMENT
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| 出版日期 | 2019-10-01 |
| 卷号 | 232页码:15 |
| 关键词 | Vegetation clumping index Normalized difference between hotspot and darkspot (NDHD) Leaf area index (LAI) MODIS Bidirectional reflectance distribution function (BRDF) |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2019.111296 |
| 通讯作者 | Wei, Shanshan(weiss526@gmail.com) |
| 英文摘要 | The vegetation clumping index (CI) quantifies the degree to which foliage deviates from a random distribution, and therefore, is an important canopy structural parameter that governs the photosynthesis and evapotranspiration processes in terrestrial ecosystems. While the temporal variation of CI has been investigated in many field studies, there has not been a global CI product that captured its seasonal and inter-annual variations. In this study, a look-up table (LUT) method was developed based on an improved Normalized Difference between Hotspot and Darkspot (NDHD) method to estimate the daily CI from the MODIS V006 MCD43 BRDF (bidirectional reflectance distribution function) product. This new CI product is consistent with field measurements at 33 sites distributed globally (R-2 = 0.38, RMSE = 0.04, and bias = -0.01). CI shows stronger seasonal variations for deciduous broadleaf forest (DBF) and mixed forests than other vegetation types. The large seasonal differences between evergreen and deciduous vegetation, especially for DBF and deciduous shrubs, allow the CI to be used to detect seasonal structural changes and classify vegetation. The global CI shows a negative correlation to the leaf area index (LAI) for all land cover types, especially forests. The global CI demonstrates an inter annual variation that correlated with global precipitation (R-2 = 0.34). In addition, the global CI shows a global decreasing trend from 2001 to 2017 (-0.007/decade) that was consistent with the increasing LAI (0.049/decade). The time series of CI provides a new perspective for understanding the structural characteristics of vegetation in global ecosystem studies. |
| WOS关键词 | LEAF-AREA INDEX ; PHOTOSYNTHETICALLY ACTIVE RADIATION ; DIGITAL HEMISPHERICAL PHOTOGRAPHY ; ESSENTIAL CLIMATE VARIABLES ; SIZE ANALYSIS THEORY ; SEASONAL-VARIATION ; CANOPY STRUCTURE ; SHOOT STRUCTURE ; ENERGY FLUXES ; GEOV1 LAI |
| 资助项目 | National Key Research and Development Program of China[2016YFA0600201] ; National Natural Science Foundation of China[41471295] ; NASA[NNX14AI73G] ; NASA[80NSSC18K0642] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000486355300054 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; NASA |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/129851]  |
| 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.Univ Toronto, Dept Geog & Planning, Toronto, ON M5S 3G3, Canada 2.Chinese Acad Sci, LREIS, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Boston Univ, Dept Geog & Environm, Ctr Remote Sensing, Boston, MA 02215 USA 5.Lab Environm Model & Data Optima, Laurel, MD 20707 USA |
| 推荐引用方式 GB/T 7714 | Wei, Shanshan,Fang, Hongliang,Schaaf, Crystal B.,et al. Global 500 m clumping index product derived from MODIS BRDF data (2001-2017)[J]. REMOTE SENSING OF ENVIRONMENT,2019,232:15. |
| APA | Wei, Shanshan,Fang, Hongliang,Schaaf, Crystal B.,He, Liming,&Chen, Jing M..(2019).Global 500 m clumping index product derived from MODIS BRDF data (2001-2017).REMOTE SENSING OF ENVIRONMENT,232,15. |
| MLA | Wei, Shanshan,et al."Global 500 m clumping index product derived from MODIS BRDF data (2001-2017)".REMOTE SENSING OF ENVIRONMENT 232(2019):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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