Photon recollision probability and the spectral invariant theory: Principles, methods, and applications
文献类型：期刊论文
| 作者 | Fang, Hongliang1,2,3 |
| 刊名 | REMOTE SENSING OF ENVIRONMENT
 |
| 出版日期 | 2023-12-15 |
| 卷号 | 299页码:24 |
| 关键词 | Escape probability Recollision probability Spectral invariant theory P -theory Canopy reflectance model |
| ISSN号 | 0034-4257 |
| DOI | 10.1016/j.rse.2023.113859 |
| 通讯作者 | Fang, Hongliang(fanghl@lreis.ac.cn) |
| 英文摘要 | The photon recollision probability (p) and spectral invariant theory (p-theory) have gained much attention in the vegetation remote sensing community over the past decades. A broad range of studies have been performed involving the derivation of theoretical principles, determination of the p value in field measurements and remote sensing studies, and application of the theory in various areas. This review synthesizes current developments in this theory and discusses future directions. The review begins with a brief introduction of the historical background of the p-theory, followed by a description of the general principles of the theory. Subsequently, various methods for estimating the p value in field measurements and remote sensing studies are reviewed. Next, applications of the p-theory in canopy reflectance modeling and vegetation parameter retrieval are illustrated. Finally, the general features of the theory and future research directions are discussed. This study aims to enhance our understanding of the p-theory, its development and applications in various disciplines. |
| WOS关键词 | LEAF-AREA INDEX ; RADIATIVE-TRANSFER MODEL ; SYSTEM DATA RECORD ; CANOPY SCATTERING ; HEMISPHERICAL PHOTOGRAPHY ; ENERGY-CONSERVATION ; OPTICAL-PROPERTIES ; SUCCESSIVE ORDERS ; REFLECTANCE MODEL ; ACTIVE RADIATION |
| 资助项目 | National Natural Science Foundation of China[42171358] ; LREIS[088RA405SA] |
| WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001102834400001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China ; LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200211]  |
| 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.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Hongliang. Photon recollision probability and the spectral invariant theory: Principles, methods, and applications[J]. REMOTE SENSING OF ENVIRONMENT,2023,299:24. |
| APA | Fang, Hongliang.(2023).Photon recollision probability and the spectral invariant theory: Principles, methods, and applications.REMOTE SENSING OF ENVIRONMENT,299,24. |
| MLA | Fang, Hongliang."Photon recollision probability and the spectral invariant theory: Principles, methods, and applications".REMOTE SENSING OF ENVIRONMENT 299(2023):24. |
入库方式： OAI收割
来源：地理科学与资源研究所
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