Estimation of PM10 Distribution using Landsat5 and Landsat8 Remote Sensing
- Fernández-Pacheco, V. M. 1
- López-Sánchez, C. A. 1
- Álvarez-Álvarez, E. 1
- López, M. J. Suárez 1
- García-Expósito, L.
- Yudego, E. Antuña
- Carús-Candás, J. L.
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1
Universidad de Oviedo
info
Año de publicación: 2018
Tipo: Aportación congreso
Resumen
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.