| 基于MODIS的光化学植被指数反演水稻区域光能利用率 |
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| 引用本文： | 郭建茂,刘俊伟,童应祥,费敦悦,王迁.基于MODIS的光化学植被指数反演水稻区域光能利用率[J].中国农业气象,2016,37(3):368-375. |
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| 作者姓名： | 郭建茂 刘俊伟 童应祥 费敦悦 王迁 |
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| 作者单位： | 1. 南京信息工程大学应用气象学院，南京 210044；2. 安徽省寿县气象局，寿县 232200 |
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| 基金项目： | 国家自然科学基金(41071282)；江苏省重点研发计划(现代农业)项目( BE2015365)；行业专项(GYHY201506018)；中国气象局预报预测核心业务发展专项(XMAHX20160311) |
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| 摘 要： | 为了探究光化学反射植被指数（Photochemical Reflectance Index, PRI）在反演大面积水稻光能利用率（Light Use Efficiency, LUE）方面的潜力，利用安徽寿县国家气候观象台通量观测数据和同期MODIS卫星数据，分别构建不同参照波段下（488、551和667nm）的PRIs与站点像元LUE间的模型，并尝试利用最优模型反演区域尺度的水稻光能利用率。结果表明，在所测试的参照波段中，来自后向散射方向影像提取的PRIs与LUE的相关性更强，其中PRI551表现最优；与MOD17算法相比，利用PRI551-LUE模型反演的区域LUE值更符合实际，且空间分布差异明显，在多时相影像和完善数据插补方法的基础上，利用MODIS PRI在反演长时间、大面积植被的光能利用率或生产力方面具有可行性。
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| 关 键 词： | 光化学反射植被指数 光能利用率 涡度相关法 MOD17算法 增强型植被指数（EVI） |
| 收稿时间： | 2015-10-26 |
Regional Mapping of Light Use Efficiency for Paddy Rice by Using MODIS Photochemical Reflectance Index |
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| GUO Jian-mao,LIU Jun-wei,TONG Ying-xiang,FEI Dun-yue,WANG Qian.Regional Mapping of Light Use Efficiency for Paddy Rice by Using MODIS Photochemical Reflectance Index[J].Chinese Journal of Agrometeorology,2016,37(3):368-375. |
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| Authors: | GUO Jian-mao LIU Jun-wei TONG Ying-xiang FEI Dun-yue WANG Qian |
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| Institution: | （1. College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2. Shouxian Meteorology Bureau, Anhui Provinces, Shouxian 232200 |
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| Abstract: | In order to explore the potentiality of the Photochemical Reflectance Index(PRI) in predicting light use efficiency(LUE) at regional scales, eddy covariance flux data of Shouxian station and corresponding MODIS imagery were utilized to establish different models which concerned three formulations of PRIs calculated from a set of alternative reference bands at 488,551,667nm and LUE of site pixel. Then, the optimal model was chosen to create a regional LUE map for paddy rice. The results showed that, the relationships between MODIS PRIs from observations closer to the backscatter direction and LUE were always stronger, and PRI551 exhibited the strongest relationship with LUE among MODIS PRIs. Compared to regional LUE derived using the MOD17 algorithm, more realistic spatial heterogeneity of LUE was appeared in the MODIS PRI551-derived LUE map. Moreover, with multi-temporal imagery and appropriate gap-filling methods be used, MODIS PRI has certain feasibility on long-period and large-area monitoring of ecosystem LUE. |
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| Keywords: | Photochemical reflectance index Light use efficiency Eddy covariance MOD17 algorithm Enhanced vegetation index(EVI) |
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