Title :
Spatial distribution of PM2.5 concentration based on aerosol optical thickness inverted by Landsat ETM+ data over Chengdu
Author :
Weihong Han ; Ling Tong ; Jinping Bai ; Yunping Chen
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
This paper proposes a new method of spatial distribution of PM2.5 concentration, which is based on Aerosol Optical Thickness (AOT) inverted by Landsat7 ETM+ Enhanced Thematic Mapper Plus (ETM+) data and PM2.5 ground-based instruments. The main steps of the method are as follows:(1) Determination of dark pixels, search for the dark surface targets with the 2.2- μm channel; (2) Determination of the surface reflectance in the blue and red channels;(3) AOT retrieval, inverted from Look-up Tables (LUT) established from a set of atmospheric geometrical conditions;(4)Establish the model of PM2.5 predicting with predictors and estimate the PM2.5 value. The study results show that the method is an effective means for predicting the PM2.5 concentration, and a beneficial supplement to the conventional ground-based measurement.
Keywords :
aerosols; air quality; atmospheric optics; atmospheric techniques; geometry; table lookup; AOT retrieval; Chengdu; LUT; Landsat7 ETM+ data; Landsat7 ETM+ enhanced thematic mapper plus; PM2.5 concentration prediction; PM2.5 concentration spatial distribution method; PM2.5 ground-based instruments; PM2.5 prediction model; PM2.5 value estimation; PM2.5 value predictors; aerosol optical thickness; atmospheric geometrical condition set; blue channel; conventional ground-based measurement; dark pixel determination; dark surface targets; look-up tables; main method steps; red channel; surface reflectance determination; Aerosols; Atmospheric modeling; Earth; Reflectivity; Remote sensing; Satellites; Table lookup; AOT; Landsat ETM+; PM2.5; air quality; pollution source;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723265