Remote Sensing Monitoring Of Water Quality For Yuanhe River Inland Water

With more and more serious problem on water pollution, it is significant to monitor the water quality and get to know the trend of the water quality change for water resource management and water environment protection. As an essential technology besides conventional water monitoring method, remote sensing based water monitoring, which has the advantages of large scale monitoring area, fast and dynamic processing, economical and easy operation for a long monitoring period, can discover the water duality migratory trend while the conventional method cannot discover.Based on the summary and analysis of remote sensing monitoring water of the present research, this paper hold the Yuanhe River and Kuncheng Lake in Jiangsu province as the research object, on the basis of measured data, this paper analyzed Yuanhe River' s Apparent Optic Properties(AOPs) and basic water quality parameters, carries the hyper-spectral experience inversion model of Chlorophyll-a and Suspended Sediments(SS) and CODMn based on Apparent Optic Properties. And through the spectral re-sampling methods, established the SPOT-5 multi-spectrum data inversion model, and the model is applied to SPOT-5 remote sensing image to inversion the concentration of chlorophyll of Kuncheng Lake, and use the modified Tropic State Index to evaluate nutritional status of lake eutrophication level cap.This paper studies the SPOT-5 multi-spectrum remote sensing image preprocessing method. Sensor calibration for SPOT-5, different from other sensors, the correction formula for L_b=DN_b/A+B. Using FLAASH and 6S model to study the SPOT-5 multi-spectrum remote sensing image atmospheric correction method based on radiative transfer model. Research shows that FLAASH model can calculate albedos well once for all band. So it is an ideal atmosphere correction tools.