An Assessment of Relations between Vegetation Green FPAR and Vegetation Indices through a Radiative Transfer Model
文献类型： 外文期刊
作者： Liang, Shouzhen 1 ; Ma, Wandong 2 ; Sui, Xueyan 1 ; Wang, Meng 1 ; Li, Hongzhong 3 ;
作者机构： 1.Shandong Acad Agr Sci, Jinan 250100, Peoples R China
2.Minist Ecol & Environm, Satellite Environm Ctr Ecol & Environm, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
关键词： green FPAR; SAIL; forest; vegetation index
期刊名称：PLANTS-BASEL （ 影响因子：4.5； 五年影响因子：4.8 ）
ISSN：
年卷期： 2023 年 12 卷 10 期
页码：
收录情况： SCI
摘要： The fraction of absorbed photosynthetically active radiation (FPAR) is widely used in remote sensing-based production models to estimate gross or net primary production. The forest canopy is composed primarily of photosynthetically active vegetation (PAV, green leaves) and non-photosynthetic vegetation (NPV e.g., branches), which absorb PAR but only the PAR absorbed by PAV is used for photosynthesis. Green FPAR (the fraction of PAR absorbed by PAV) is essential for the accurate estimation of GPP. In this study, the scattering by arbitrary inclined leaves (SAIL) model was reconfigured to partition the PAR absorbed by forest canopies. The characteristics of green FPAR and its relationships with spectral vegetation indices (NDVI, EVI, EVI2, and SAVI) were analyzed. The results showed that green FPAR varied with the canopy structure. In the forests with high coverage, the green FPAR was close to the total FPAR, while in the open forests, the green FPAR was far smaller than the total FPAR. Plant area index had more important impacts on the green FPAR than the proportion of PAV and optical properties of PAV. The significant relationships were found between spectral vegetation indices and the green FPAR, but EVI was more suitable to describe the variation of canopy green FPAR.
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