基于VIIRS数据洪泽湖悬浮物浓度估算算法研究

Remote estimation of suspended matters concentrations using VIIRS in Lake Hongze,China

基于2012~2015年洪泽湖4次星地同步试验数据,建立了较高精度的水体悬浮物浓度单波段(671 nm)模型(R^2=0.74,RMSE=8.58 mg/L),并进行了验证(R^2=0.72,RMSE=11.98 mg/L);然后,将该算法成功应用到了2012~2015年464景VIIRS无云影像上.结果表明,洪泽湖悬浮物浓度呈现春夏低、秋冬高的季节特征和东、中部高,西、北部低的空间分布特征;在年际变化尺度上,悬浮物浓度年均值呈现较小的减少趋势.总体来说,VIIRS在浑浊水体悬浮物浓度上表现了较好的探测能力,在湖泊水色遥感领域具有较大潜力.

Based on 86 satellite-ground synchronous samples taken from four measurement campaigns in Lake Hongze in 2014 -2015, a single band （671 nm） model was developed to estimate the suspended particulate matter （SPM）. The model performed well （R2 = 0.74, RMSE = 8.58 mg/L）, with validation （R2 =0.72, RMSE = 11.98 mg/L）. Then, 464 VIIRS images （2012-2015） were used to estimate SPM concentrations. The results show that the concentrations of SPM increase in the autumn and winter and decrease in the spring and summer. While it is higher in the east and central area of the lake than in the north and west sections of the lake. Inter-annual comparisons show a decrease of suspended particulate matter（SPM） over the short four year period. The visible/infrared imager radiometer suite （VIIRS） performs well in estimating SPM in Lake Hongze, allowing for an extension of MODIS analysis approaches and improving the remote sensing of inland lakes in the future.