Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Spectral Response of Multispectral Sensors to Remote Sensing Based PM10 Retrieval

Author : Ajay N Roy 1 Anjali G. Jivani 2 Bhuvan S. Parekh 3

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Date of Publication :13th September 2017

Abstract: The spectral characteristics are a key to remote sensing applications. The extraction of meaningful information from the imagery necessitates good knowledge and understanding of the spectral characteristics of the satellite sensors. Multispectral satellite sensors record information in wide of spectral channels. The spectral response in specific wavelength plays a major role in remote sensing applications. PM10 estimation using remote sensing is now becoming popular approach for pollution monitoring. Several approaches have been used for estimation of PM10 using various satellite sensors. This paper presents the sensitivity of satellite sensors at different wavelengths and its application to estimate PM10. The atmospheric absorption, reflectance and transmission behavior for Visible and Infrared ranges is a key to particulate matter monitoring. The sensitivity of different channels of MODIS, MERIS, SPOT5, Landsat TM/ETM+ and Landsat 8 have been analyzed. The sensor characteristics have also been presented to find the suitability of these sensors for PM10 distribution.

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