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Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy

文献类型： 外文期刊

作者： Peng, Dailiang 1 ; Zhang, Helin 1 ; Yu, Le 2 ; Wu, Mingquan 3 ; Wang, Fumin 4 ; Huang, Wenjiang 1 ; Liu, Liangyun 1 ; Sun 1 ;

作者机构： 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China

2.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modelling, Beijing 100084, Peoples R China

3.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

4.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol, Hangzhou, Zhejiang, Peoples R China

5.Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

6.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China

7.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

8.Chinese Acad Sci, Inst Remote Sensing & Dig

期刊名称：INTERNATIONAL JOURNAL OF REMOTE SENSING （ 影响因子：3.151； 五年影响因子：3.266 ）

ISSN： 0143-1161

年卷期： 2018 年 39 卷 22 期

页码：

收录情况： SCI

摘要： The fraction of absorbed photosynthetically active radiation (FPAR) by the vegetation canopy (FPAR(canopy)) is an important parameter for vegetation productivity estimation using remote-sensing data. FPAR(canopy) is widely estimated using many different spectral vegetation indices (VIs), especially the simple ratio vegetation index (SR) and normalized difference vegetation index (NDVI). However, there have been few studies into which VIs are most suitable for this estimation or into their sensitivities to the leaf area index and the observation geometry of remote-sensing data, which are very important for the accurate estimation of FPAR(canopy) based on the plant growth stage and satellite imagery. In this study, nine main VIs calculated from field-measured spectra were evaluated and it was found that the SR and NDVI underestimated and overestimated FPAR(canopy), respectively. It was also found that the enhanced vegetation index produced lesser errors and a higher agreement than other broadband VIs used to estimate FPAR(canopy). Among all the selected VIs, the photochemical reflectance index (PRI) turned out to have the lowest root mean square error of 0.17. The SR produced the highest errors (about 0.37) and lowest index of agreement (about 0.50) compared to the measured values of FPAR(canopy). Except for carotenoid reflectance index (CRI), FPAR(canopy) estimated by VIs are evidently sensitive to the leaf area index (LAI), especially for FPAR(canopy) (SR), which are also most sensitive to solar zenith angles (SZA). SR, CRI, PRI, and EVI have remarked variations with view zenith angles. Our study shows that FPAR(canopy) can be simply and accurately estimated using the most suitable VIs - i.e. EVI and PRI - with broadband and hyperspectral remote-sensing data, respectively, and that the nadir reflectance or nadir bidirectional reflectance distribution function adjusted reflectance should be used to calculate these VIs.

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