Advancing the prediction accuracy of satellite-based PM2.5 concentration mapping: A perspective of data mining through in situ PM2.5 measurements
Abstract
Ground-measured PM2.5 concentration data are oftentimes used as a response variable in various satellite-based PM2.5 mapping practices, yet few studies have attempted to incorporate ground-measured PM2.5 data collected from nearby stations or previous days as a priori information to improve the accuracy of gridded PM2.5 mapping. In this study, Gaussian kernel-based interpolators were developed to estimate prior PM2.5 information at each grid...
Paper Details
Title
Advancing the prediction accuracy of satellite-based PM2.5 concentration mapping: A perspective of data mining through in situ PM2.5 measurements
Published Date
Nov 1, 2019
Journal
Volume
254
Pages
113047 - 113047
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