Estimation of PM10 Distribution using Landsat 7 ETM+ Remote Sensing Data

Abstract

Remot e sensing imagery is a rich source of information with applications in varied fields. Monitoring of environment pollution is one of them. The work presented in this paper is foc used on estimation of the ambient concentration of pollut ant using remote sensing. Particulate Matter with particle sizes less than 10 mic rons (PM10) is estimated for the study area Vadodara. Landsat 7 E TM+ data of different wavelength has been processed and analyzed for the relationship with coincident ground station PM10 data. The radiance values observed by the satellit e and its difference with the radiance calculated after atmos pheric correction for the same pixel is considered as a measure to estimate PM10. This difference, called path radiance is calculated and correlated with the ground station PM10 values. Using regression analysis on the calculated data and the ground station PM10 data, the algorithm for PM10 estimation is generat ed and PM10 map is generated for the study area. The algorithm shows good results fo r the test data. P ollution estimation through remote sensing is an efficient technique as it can be carried out in less time. Estimation and analysis for larger area is possible using remote sensing approac h. The 30 meter resolution of Landsat satellite makes it more suitable for local and regional study.