Sapna, Kinattinkara and Shanthi, Kuppusamy (2022) Land use/land cover changes of Noyyal watershed in Coimbatore district, India, mapped using remote sensing techniques. Environmental Science and Pollution Research, 29. pp. 86349-86361.

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Abstract

The present study undertakes to produce the land use/land cover map and to explore the change detection analysis of Noyyal
watershed, Coimbatore, for a time period of 18 years. Based on the remote sensing and geographical information system for
monitoring the temporal variations of land use/land cover, multi-temporal Landsat satellite 30-m spatial resolution images
of Landsat 4/5 MSS and TM (1999), Landsat 7 ETM+(2008), and Landsat 8 Operational Land Imager (OLI) were obtained
from the USGS website. The satellite images were geocoded into the universal transverse mercator (UTM) coordinate system
zone 43 N. The unsupervised classifcation method was done by using an iterative self-organizing data analysis algorithm
to compare the images and to classify the images into various land cover categories. Kappa statistics were used to assess
the validation of the present study. The analysis suggests the total forest covered in 1999 was 22.69% and that of 2008 was
24.04% and reduced to 6.09%, in 2017. The agricultural land of 17.8% is reduced to 3.11% in 2008 and 0.86% in 2017. The
settlements increased from 15.59 to 24.21% in 2008 and 27.14% in 2017. Increase in deforestation leads to increase in barren
land. In 1999, the percentage of barren land was 17.2%; in 2008, it was 13.19%, and 50.93% in 2017. The overall accuracy
estimation of the study is 73.19% and Kappa coefcient is 0.72. This study has proven a substantial strength of agreement
for the map of 2017 from the result of validation rating criteria of Kappa statistics.

Item Type: Article
Uncontrolled Keywords: LULC · Watershed · Deforestation · Coimbatore · Unsupervised classifcation · Kappa statistics
Divisions: PSG College of Arts and Science > Department of Environmental Science
Depositing User: Mr Team Mosys
Date Deposited: 23 Mar 2023 06:57
Last Modified: 23 Mar 2023 06:57
URI: http://ir.psgcas.ac.in/id/eprint/1817

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