基于CHRIS数据的三峡坝区水体叶绿素浓度遥感监测

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本文探讨利用新一代微卫星遥感数据CHRIS/PROBA定量反演三峡坝区叶绿素(Chl)浓度的方法。首先对CHRIS/PROBA高光谱影像进行去条带、几何校正、辐射校正、大气校正等预处理,得到水体像元的遥感反射率;然后结合三峡坝区水质,分析了悬浮物对叶绿素浓度反演的影响,采用半经验回归方法建立了叶绿素浓度反演算法;最后在对算法验证的基础上,将模型应用到经过一系列预处理的影像中,得到三峡坝区叶绿素浓度的遥感反演结果,并对反演结果进行了分析。分析表明,CHRIS/PROBA影像在三峡坝区水质的遥感监测中是可用的,且反演结果精度较高。 In this paper, a new generation of microsatellite remote sensing data CHRIS / PROBA is used to quantitatively measure the concentration of chlorophyll (Chl) in the Three Gorges Dam. Firstly, the preprocessing of bands, geometric correction, radiation correction and atmospheric correction of CHRIS / PROBA hyperspectral imagery was carried out to get the remote sensing reflectance of water body pixels. Then, the water quality of Three Gorges Dam area was used to analyze the concentration of suspended matter The semi-empirical regression method was used to establish the chlorophyll concentration inversion algorithm. Finally, based on the verification of the algorithm, the model was applied to a series of preprocessed images to obtain the remote sensing inversion results of chlorophyll concentration in the Three Gorges Dam area. The inversion results are analyzed. The analysis shows that the CHRIS / PROBA image is available for the remote sensing monitoring of water quality in the Three Gorges Dam area, and the inversion result is more accurate.
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