Open AccessCorrelation of PM2.5 based on Landsat 8 satellite imagery with ground measurements in Bandung City
Author(s) -
Rika Hernawati,
Soni Darmawan
Publication year - 2020
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 - 10.1088/1755-1315/500/1/012077
Subject(s) - correlation coefficient , remote sensing , linear regression , aeronet , satellite , linear correlation , environmental science , satellite imagery , meteorology , mathematics , geography , statistics , physics , astronomy
The purpose of this research is to find the correlation of PM2.5 with ground measurements. The calculated of PM2.5 were using the algorithm derived from Landsat imagery in the year of 2019 and the concentration of PM2.5 ground measurements was collected using tools of sensor pocket PM2.5. The Implementation of methodology were include geometric and radiometric correction, calculation for PM2.5 algorithm inlcude AOD from AERONET, calculated LST, and calculated TVDI. The calculated data on PM2.5 were compared with ground measurements of PM2.5 from different locations in Bandung and the result show that a linear correlation of PM2.5 derived from Landsat between ground measurements having coefficient of determination value is 0.65 It means, the data of PM2.5 derived from Landsat 8 imagery between the data of PM2.5 ground measurements indicates a moderate positive correlation with linear regression model y = 0.8023x+3.8578.