摘要
综合比较Landsat 8 OLI遥感影像与地面同步水质监测结果,发现Landsat 8的近红外波段与其他波段的组合和水体浊度具有较高的相关性,以此为基础运用OLI的第1、3、5波段组合建立了汉江中下游浊度的遥感反演数学模型。根据该模型生成了2013年4~11月共3幅汉江中下游浊度分布图,并进行了空间分析。精度验证表明,模型相对误差在15%左右,R^2=0.71,表明运用Landsat 8 OLI可有效地监测该区域水体浊度分布情况。
This research investigated the Landsat 8 Operational Land Imager （OLI） performance in monitoring dynamic riverine turbidity in a case study of he Hanjiang River in China, the largest tribu- tary of the Yangtze River. Field surveys conducted between April and November 2013 showed a wide range of turbidity （15.8~54.4 NTU）. A practical exponential retrieval algorithm used in conjunction with the OLI bands1,3 and 5 on the Landsat 8 was developed to assess compatibility between satellite remote sensing reflectance and in-situ measured data. Results obtained for the whole area accurately matched the in-situ data at most stations （R2 =0.71, MAPE= 15.44%） during the validation phase. It was found that Landsat 80LI imagery can be used to estimate turbidity in inland riverine systems when a suitable retrieval algorithm is applied.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2017年第5期643-647,共5页
Geomatics and Information Science of Wuhan University
基金
长江科学院开放研究基金(CKWV2012323/KY)
国家自然科学基金(41301098)
湖北省公益性科技研究项目(2013BCB017)
武汉大学自主科研项目(2042014kf0059)~~
