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Remote estimation of gross primary production in wheat using chlorophyll-related vegetation indices

文献类型： 外文期刊

作者： Wu, Chaoyang 1 ; Niu, Zheng 1 ; Tang, Quan 1 ; Huang, Wenjiang 1 ; Rivard, Benoit 4 ; Feng, Jilu 4 ;

作者机构： 1.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

2.Chinese Acad Sci, Grad Univ, Beijing 100039, Peoples R China

3.Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

4.Univ Alberta, EOSL, Dept Earth & Atmospher Sci, Edmonton, AB T6G 2E3, Canada

关键词： GPP; LUE; Vegetation indices; Canopy chlorophyll content; Sensitivity; Validation

期刊名称：AGRICULTURAL AND FOREST METEOROLOGY （ 影响因子：5.734； 五年影响因子：5.964 ）

ISSN： 0168-1923

年卷期： 2009 年 149 卷 6-7 期

页码：

收录情况： SCI

摘要： A number of recent studies have focused on estimating gross primary production (GPP) using vegetation indices (VIs). In this paper, GPP is retrieved as a product of incident light use efficiency (LUE), defined as GPP/PAR, and the photosynthetically active radiation (PAR). As a good correlation is found between canopy chlorophyll content and incident LUE for six types of wheat canopy (R-2 = 0.87, n = 24), indices aimed for chlorophyll assessment can be used as an indicator of incident LUE and the product of chlorophyll indices and PAR will be a proxy of GPP. In a field experiment, we investigated four canopy chlorophyll content related indices (Red edge Normalized Difference Vegetation Index I Red Edge NDVI), modified Chlorophyll Absorption Ratio Index [MCARI(710)], Red Edge Chlorophyll Index [CIred (edge)] and the MERIS Terrestrial Chlorophyll Index [MTCI]) for GPP estimation during the growth cycle of wheat. These indices are validated for leaf and canopy chlorophyll estimation with ground truth data of canopy chlorophyll content. With ground truth data, a strong correlation is observed for canopy chlorophyll estimation with correlation coefficients R-2 of 0.79, 0.84, 0.85 and 0.87 for Red Edge NDVI, MCARI(710), CIred (edge) and MTCI, respectively (n = 24). As evidence of the existence of a relationship between canopy chlorophyll and GPP/PAR, these indices are shown to be a good proxy of GPP/PAR with R-2 ranging from 0.70 for Red Edge NDVI and 0.75 for MTCI (n = 240). Remote estimation of GPP from canopy chlorophyll content x PAR is proved to be relatively successful (R-2 of 0.47, 0.53, 0.65 and 0.66 for Red edge NDVI, MCARI(710), CIred edge and MTCI respectively, n = 240). These results open up a new possibility to estimate GPP and should inspire new models for remote sensing of GPP. (C) 2008 Elsevier B.V. All rights reserved.

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