Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects
文献类型:期刊论文
作者 | Li, Sijia2; Fang, Hongliang2; Zhang, Yinghui2 |
刊名 | REMOTE SENSING |
出版日期 | 2023-02-01 |
卷号 | 15期号:4页码:946 |
关键词 | leaf inclination angle field measurement remote sensing estimation LiDAR |
DOI | 10.3390/rs15040946 |
文献子类 | Review |
英文摘要 | The leaf inclination angle (LIA), defined as the leaf or needle inclination angle to the horizontal plane, is vital in radiative transfer, precipitation interception, evapotranspiration, photosynthesis, and hydrological processes. This paper reviews the field and remote sensing methods to determine LIA. In the field, LIA is determined using direct and indirect methods. The direct methods include direct contact, photographic, and light detection and ranging (LiDAR) methods, while the indirect methods are composed of the gap fraction, four-component, and polarization measurement methods. The direct methods can obtain LIA accurately at individual leaves, crown, and plot scales, whereas the indirect methods work well for crops at the plot level. The remote sensing methods to estimate LIA are mainly based on the empirical, radiative transfer model, and gap fraction methods. More advanced inversion strategies and validation studies are necessary to improve the robustness of LIA remote sensing estimation. In future studies, automated observation systems can be developed and the LIA measurement can be incorporated into existing ground observation networks to enhance spatial coverage. |
WOS关键词 | CANOPY REFLECTANCE MODELS ; PLANT-AREA INDEX ; TERRESTRIAL LIDAR ; VEGETATION INDEXES ; DENSITY-FUNCTION ; HEMISPHERICAL PHOTOGRAPHY ; STRUCTURAL PARAMETERS ; GREEN LAI ; ORIENTATION ; INVERSION |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000941805200001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/200762] |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Sijia,Fang, Hongliang,Zhang, Yinghui. Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects[J]. REMOTE SENSING,2023,15(4):946. |
APA | Li, Sijia,Fang, Hongliang,&Zhang, Yinghui.(2023).Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects.REMOTE SENSING,15(4),946. |
MLA | Li, Sijia,et al."Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects".REMOTE SENSING 15.4(2023):946. |
入库方式: OAI收割
来源:地理科学与资源研究所
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