Remote Sensing: An Attractive Tool for Monitoring Pollution

By Anshu Gupta, Vivek Dey and Aditya Goel.

Published by The International Journal of Climate Change: Impacts and Responses

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

Pollution poses major threat to our planet. For example, green house gases like carbon dioxide accelerates the global warming. However, some other polluting gases like aerosols decelerates the global warming by creating a temporary cooling effect for few days. Today, climates are changing. Our earth is warming more quickly than it has in the past according to the research of scientists. One of the major causes of drastic climatic change is the rise of pollution in the urban areas. The environmental problems in the urban areas are imposing new challenges to their economic development, competitiveness and quality of life. Urban environmental management includes assessment of urban atmospheric quality. For any urban environmental quality assessment process, the selection of components and the corresponding criteria is pivotal. Assessment improves with the augmentation of each relevant criterion. However, aggrandizing the criterion randomly is not feasible due to data availability constraints. Further, the time lag between the assessment and data procurement is also vital. Thus, data and time constraints can be delineated to be the central to the accuracy and validation of urban environmental quality assessment process. Remote sensing data have been widely used in extracting atmospheric information like ozone, soil brightness index, vegetation index, humidity, slope, aspect etc. Recently, Lidar mapping has emerged as a promising technique in investigating atmospheric pollution. Urban heat island is also emerging as a source of atmospheric pollution. Urban heat islands increase the demand for cooling energy and accelerate the formation of smog. Remotely-sensed data is used to quantify surface temperature, albedo, thermal response number etc. This paper deals with the available remote sensing techniques of data collection considering time constraints for urban atmospheric pollution.

Keywords: Lidar, Remote Sensing, Environment, Pollution, SAR, Urban Heat Island

The International Journal of Climate Change: Impacts and Responses, Volume 1, Issue 1, pp.47-54. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.665MB).

Anshu Gupta

Lecturer, Centre for Remote Sensing and GIS, MANIT, M. P., India

Bachelor of Architecture and Masters of Technology in remote sensing and GIS with specialization in human settlements analysis. She is currently a lecturer at national institute of technology situated at Bhopal.Her research fields include determining environmental pollution of urban areas using remote sensing and GIS, urban sprawl,application of artifical intelligence techniques in pollution monitoring and GIS mapping.

Vivek Dey

Alumni, Civil Engineering, IIT, U. P., India

Alumi of Civil Engineering, IIT Kanpur. Field of interests are remote sensing SAR images, GIS mapping and hyperspectral Image processing .

Aditya Goel

Assistant Professor, Electronics and Communication Engineering, MANIT, Bhopal, M.P., India

Bachelor of Engineeing, Master of Technology from IIT Bombay and PhD.His current designation is as assistant professor of Department of Electronics and Communication Engineering at MANIT Bhopal. Specialised in digital signal processing, optical and digital communication etc. Research interest include utilising image processing technique in remote sensing image analysis and artificial intelligence.

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