Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron
Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron
复制标题
根据 Landsat-8 图像估算复杂内陆水域的有色溶解有机物：休伦湖案例研究
DOI：
10.1109/tgrs.2016.2638828
复制
发表时间：
2017-04-01
影响因子：
8.2
通讯作者：
Yu, Qian
中科院分区：
文献类型：
--
作者：
Chen, Jiang;Zhu, Wei-Ning;Yu, Qian
采集了休伦湖萨吉诺河和考考林河羽流地区的光谱反射数据，包括辐照度反射率(R-t)和遥感反射率(R-Rs，sr(-1))和有色溶解有机物(CDOM)吸收系数a(CDOM)(440)。我们开发了一种经验波段比算法来推导出可以直接适用于Landsat-8图像的(CDOM)(440)。采用模型排序法确定最佳频带比及其经验函数。以往的陆地卫星图像CDOM估计的一个问题是，它们通常使用R-t或R-t/pi而不是真实的R-Rs作为输入数据，但由于我们的研究结果，使用R-RS得到的算法比使用R-t得到的算法要好得多。用指数模型和指数模型(指数模型：R-2=0.819，均方误差=0.889 m(-1)；指数模型：R-2=0.829，均方误差=0.863 m(-1))拟合的绿/红波段比值的精度最高。使用独立的数据组对幂模型和指数模型进行了进一步的验证，均方根误差分别为0.642和0.504 m(-1)。指数模型a(CDOM)(440)=40.75e(-2.463x)，x=R-rS(B3)/R-rS(B4)在两幅Landsat-8图像上的应用表明，从Landsat-8图像估算CDOM在长期和大尺度水质监测中具有潜在的应用价值。
Spectral reflectance data, including irradiance reflectance (R-t) and remote sensing reflectance (R-rs, sr(-1)), and colored dissolved organic matter (CDOM) absorption coefficients a(CDOM)(440), were collected in the Saginaw River and Kawkawlin River plume regions of Lake Huron. We developed an empirical band ratio algorithm to derive a(CDOM)(440) that could be directly applicable to Landsat-8 imagery. A model ranking method is used to determine the best band ratios as well as their empirical functions. One problem of previous CDOM estimations from Landsat imagery is that they usually use R-t or R-t/pi rather than the real R-rs as the input data, but as a result of our study, algorithms derived using R-rs performed much better than using R-t. The green/red band ratio gave the best accuracies by fitting with power and exponential models (power model: R-2 = 0.819 and RMSE = 0.889 m(-1) and exponential model: R-2 = 0.829 and RMSE = 0.863 m(-1)). The power and exponential models were further validated using an independent data group, achieving excellent results with the RMSE of 0.642 and 0.504 m(-1), respectively. The application of the exponential model a(CDOM)(440) = 40.75e(-2.463x), x = R-rs(B3)/R-rs(B4) on two Landsat-8 images demonstrated that estimating CDOM from to Landsat-8 imagery has potential applications for monitoring water quality in long term and large scale.