Proceedings | |
Estimation of PM10 Distribution using Landsat5 and Landsat8 Remote Sensing | |
López, M. J. Suárez1  López-Sánchez, C. A.2  Fernández-Pacheco, V. M.3  GarcÃa-Expósito, L.4  Ãlvarez-Ãlvarez, E.5  | |
[1] Author to whom correspondence should be addressed.;Biology of Organisms and Systems Department, University of Oviedo, 33600 Oviedo, Spain;Energy Department, University of Oviedo, 33600 Oviedo, Spain;Presented at the 2nd International Research Conference on Sustainable Energy, Engineering, Materials and Environment (IRCSEEME), Mieres, Spain, 25â27 July 2018;TSK Company, Gijón 33203, Spain | |
关键词: L; sat; PM10; remote sensing; air quality; atmospheric pollution; | |
DOI : 10.3390/proceedings2231430 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: mdpi | |
【 摘 要 】
Air pollution is one of the major environmental problems, especially in industrial and highly populated areas. Remote sensing image is a rich source of information with many uses. This paper is focused on estimation of air pollutants using Landsat-5 TM and Landsat-8 OLI satellite images. Particulate Matter with particle size less than 10 microns (PM10) is estimated for the study area of Principado de Asturias (Spain). When a satellite records the radiance of the surface received at sensor, does not represent the true radiance of the surface. A noise caused by Aerosol and Particulate Matters attenuate that radiance. In many applications of remote sensing, that noise called path radiance is removed during pre-processing. Instead, path radiance was used to estimate the PM10 concentration in the air. A relationship between the path radiance and PM10 measurements from ground stations has been established using Random Forest (RF) algorithm and a PM10 map was generated for the study area. The results show that PM10 estimation through satellite image is an efficient technique and it is suitable for local and regional studies.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201910257087090ZK.pdf | 812KB | download |