Open AccessRemote sensing retrieval for Chlorophyll-a and Suspended Matter Concentration of Longyangxia Reservoir based on landsat OLI data
Author(s) -
Wenzhe Zhu,
Haochuan Lei
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/310/2/022037
Subject(s) - remote sensing , inversion (geology) , correlation coefficient , mean squared error , environmental science , chlorophyll a , chlorophyll , approximation error , suspended solids , soil science , mathematics , geology , statistics , chemistry , environmental engineering , paleontology , biochemistry , organic chemistry , structural basin , wastewater
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.