Canopy clumping index (CI): A review of methods, characteristics, and applications
文献类型:期刊论文
作者 | Fang, Hongliang1,2![]() |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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出版日期 | 2021-06-15 |
卷号 | 303页码:18 |
关键词 | Clumping index (CI) Leaf area index (LAI) Effective LAI Normalized difference hotspot and darkspot (NDHD) Field measurement Remote sensing estimation |
ISSN号 | 0168-1923 |
DOI | 10.1016/j.agrformet.2021.108374 |
通讯作者 | Fang, Hongliang(fanghl@lreis.ac.cn) |
英文摘要 | Canopy clumping index (CI) characterizes the spatial distribution of leaves or needles within a vegetation canopy. CI is critical in determining the canopy radiation transfer, photosynthesis, and hydrological processes. This paper reviews the field measurement and remote sensing estimation methods, characteristics, and applications of CI. CI is generally estimated in the field using direct, indirect optical, and allometric methods. The basis for the indirect optical approach is the gap-fraction based method. Remote sensing of CI is carried out using passive optical and active LiDAR technology. Current CI products are mainly derived from an empirical relationship with the normalized difference hotspot and darkspot (NDHD) index. Further CI product validation studies should be conducted using enhanced field measurements. CI typically shows vertical, scale, directional, and temporal variations. The overall CI is calculated as the integration of the directional CI values. CI is a key parameter in leaf area index (LAI) estimation, and canopy reflectance and land surface modeling studies. Future studies should focus on the adoption of automated and wireless measurement methods, development of new remote sensing estimation methods, improving our understanding of the CI characteristics, and accounting for CI in land surface models. |
资助项目 | National Key Research and Development Program of China[2016YFA0600201] |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000639140200008 |
出版者 | ELSEVIER |
资助机构 | National Key Research and Development Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/161770] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Fang, Hongliang |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Fang, Hongliang. Canopy clumping index (CI): A review of methods, characteristics, and applications[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,303:18. |
APA | Fang, Hongliang.(2021).Canopy clumping index (CI): A review of methods, characteristics, and applications.AGRICULTURAL AND FOREST METEOROLOGY,303,18. |
MLA | Fang, Hongliang."Canopy clumping index (CI): A review of methods, characteristics, and applications".AGRICULTURAL AND FOREST METEOROLOGY 303(2021):18. |
入库方式: OAI收割
来源:地理科学与资源研究所
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