Remote sensing retrieval for Chlorophyll-a and Suspended Matter Concentration of Longyangxia Reservoir based on landsat OLI data

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Zhu, Wenzhe^1 ; Lei, Haochuan^1

Department of Geological Engineering, Qinghai University, Xining City, Qinghai Province

810016, China^1

关键词: Concentration data;    Correlation analysis;    Determination coefficients;    Inversion formula;    Inversion models;    Remote sensing images;    Root mean square errors;    Suspended matters;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022037/pdf
DOI  :  10.1088/1755-1315/310/2/022037

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this study, the Longyangxia Reservoir was taken as the research area and the chlorophyll-a and suspended matter concentration data of 20 measured sample points and the simultaneous landsat8 remote sensing image data were used. Firstly, remote sensing images were preprocessed, and then 15 sample data were randomly selected from 20 data points. Through correlation analysis of the 15 sample data and landsat OLI data, bands sensitive to chlorophyll-a and solid suspended matter concentration were found. Using the detected sensitive bands, an inversion model of the relevant concentrations of chlorophyll-a and solid suspended matter was constructed. Finally, the remaining 5 sample data are used to calculate the relevant precision index. By using the calculated determination coefficient, root mean square error and overall relative error, the precision of the inversion model is comprehensively evaluated, so as to find a universal model. Through the established inversion formula, ENVI/IDL and ArcGIS software were used to complete the mapping of chlorophyll-a and suspended matter concentration of Longyangxia Reservoir in 2013 and 2018, providing a reference for the comprehensive treatment of Longyangxia Reservoir.