Author(s): Ganasri B. P; Arun. A. M. ; Praveen Raj; Sriram. S; Dwarakish G. S
Linked Author(s):
Keywords: Land use and land cover; Classification; Maximum Likelihood Algorithm; Remote sensing
Abstract: lands such as forests and wetlands into agricultural lands and human settlements. This land use and land cover change in turn has influence on the pattern of soil erosion, sediment deposition in rivers and dams and also stream flow pattern. Satellite images can provide useful information regarding spatial and temporal variation of Land use and Land cover (LULC) in an area. The paper presents a methodology to compare two classification techniques such as Maximum Likelihood Algorithm and Minimum Distance to Mean Algorithm through analysing the LULC change pattern using LISS-III data for the years 2007 and 2013 of Harangi catchment, Coorge District, Karnataka State, India. Also, the two methods are compared between each other in terms of efficiency and kappa coefficient to check the reliability of the methods in classifying images. The efficiency and kappa coefficient obtained by using Minimum distance to mean and Maximum likelihood algorithm for the year 2013 are 78.67&0.68 and 89.36%&0.81 respectively. Based on these results, it can be concluded that, among two algorithms, the Maximum Likelihood Algorithm gave higher accuracy with high kappa coefficient and Minimum Distance to Mean Algorithm gave lower accuracy. The LU/LC change detection results between years 2007 and 2013 indicated a drastic change in forest area, plantation and waste land among all other classes. The forest area decreased dramatically from 183.12 sq. km to 131.02 sq. km. Also, fallow land and water body are decreased from 68.89 sq. km to 42.63 sq. km and 6.71 sq. km to 3.82 sq. km respectively. In contrast, the plantation and waterlogged area are observed to have an increasing trend of about 56.07 sq. km to 42.63 sq. km. The urban area has been increased from 13.06 sq. km to 13.72 sq. km. The urbanization and agricultural activities are the major reasons for increase in plantation and urban area in an expense of decrease in forest area.
Year: 2014