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首页> 外文会议>Asian Conference on Remote Sensing(ACRS2005); Asian Space Conference; 20051107-11; 20051107-11; Ha Noi(VN); Ha Noi(VN) >Estimation of net ecosystem productivity with visible, near infrared and thermal infrared bands of MODIS data
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Estimation of net ecosystem productivity with visible, near infrared and thermal infrared bands of MODIS data

机译：利用MODIS数据的可见，近红外和热红外波段估算净生态系统生产力

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摘要

Net ecosystem productivity (NEP) in the forest ecosystem is determined by gross primary productivity (GPP) of vegetation and ecosystem respiration (RE). CO_2 flux observation sites measure GPP and RE by using eddy covariance technique, and detail seasonal change of CO_2 flux has been obtained at discrete observation sites. However, they are point-based observation and cannot cover an extensive area. In order to estimate regional or global CO_2 exchange, application of remote sensing is expected. In this research, we investigated NEP scaling up estimation method extrapolating point-based observation of CO_2 exchange through remote sensing data. In particular, here, independent estimation method for GPP and RE was examined with red (RED) and near infrared (NIR) data for GPP, and thermal infrared (TIR) data for RE. Images from MODerate resolution Imaging Spectroradiometer (MODIS) onboard Terra was used. And CO_2 flux data was measured from Asian flux site at Takayama in Japan. The results showed high correlation between seasonal dynamics of GPP and RE with MODIS VIS · NIR data and with TIR data. This demonstrated the potential of proposed method for scaling up point-based NEP observation by using satellite remote sensing.
机译：森林生态系统的净生态系统生产力（NEP）由植被的总初级生产力（GPP）和生态系统呼吸（RE）决定。 CO_2通量观测点采用涡度协方差技术测量GPP和RE，并在离散观测点获得了CO_2通量的详细季节变化。但是，它们是基于点的观察，无法覆盖广泛的区域。为了估计区域或全球CO_2交换，预计将应用遥感技术。在这项研究中，我们研究了NEP放大估算方法，通过遥感数据外推基于点的CO_2交换观测。特别地，在此，针对GPP和RE的独立估计方法使用了针对GPP的红色（RED）和近红外（NIR）数据以及针对RE的热红外（TIR）数据进行了研究。使用来自Terra板上的MODerate分辨率成像光谱仪（MODIS）的图像。 CO_2通量数据是从日本高山的亚洲通量站点测得的。结果表明，GPP和RE的季节动态与MODIS VIS·NIR数据和TIR数据之间具有高度相关性。这证明了所提出的通过使用卫星遥感技术来扩大基于点的NEP观测方法的潜力。

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