Object-based image analysis for the impact of sewage pollution in Malad Creek, Mumbai, India

Environmental Monitoring and Assessment
Shivani ShirkeRitesh Vijay

Abstract

Today, object-based image analysis provides an option for integrating spatial information beyond conventional pixel-based classifications for high-resolution imagery. Due to its rare applicability in pollution assessment, an attempt has been made to assess the spatial extent of sewage pollution in Malad Creek, Mumbai, India. Based on multiresolution segmentation of an IRS P6 (LISS IV) image and the Normalized Difference Turbidity Index (NDTI), the various water quality regions in the creek were classified. The existing literature implies that the reflectance of turbid water is similar to that of bare soil which gives positive NDTI values. In contrast to this, negative values of NDTI are observed in the present study due to the presence of organic matter which absorbs light and imparts turbidity, which is supported by the significant correlation between NDTI and turbidity. A strong relationship is observed between turbidity and water quality parameters, implying the impact of organic matter through discharges of sewage in the creek. Based on the classified regions and the water quality parameters, the extent of pollution was ranked as high, moderate, low and least. The methodology developed in the present study was successfully ...Continue Reading

References

Nov 21, 2007·Journal of Water and Health·J AströmT A Stenström
May 9, 2009·Environmental Monitoring and Assessment·Ritesh VijayApurba Gupta
Nov 4, 2010·Water Science and Technology : a Journal of the International Association on Water Pollution Research·V K SardarR A Sohony

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Citations

Aug 10, 2016·Environmental Monitoring and Assessment·Ritesh VijayTapas Nandy
Jun 10, 2021·Environmental Science and Pollution Research International·Jaydip Dey, Ritesh Vijay

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