Land and water are the most keys and pivotal factors for the progress of any region or locality. Land use and land cover transformation have turned out to be a dynamic factor in recent strategies for dealing with natural resources and monitoring environmental changes. The research aimed to analyze and monitor land use/land cover changes in Mandya taluk of Karnataka by using an integrated approach of remote sensing and geographical information system The Mandy taluk satellite data were collected for the years of 1995, 2005, and 2018 and were classified by using a maximum likelihood algorithm, nonparametric parallelepiped classifier in ERDAS Imagine software. Multi-spectral pixels of the study area were classified and mapped into four broad land cover classes i.e., Waterbody, Open space, Agriculture area, and urban or built-up land. Change detection analysis was performed to compare the quantities of land cover class conversions between time intervals. Significant shifts from some classes to others were also observed. The accuracy assessment was computed using user, producer, overall, and Kappa (Khat/K) statistics. Keywords: Land use/Land Cover, GIS, and remote sensing

Even though they are conceptually different, the terms urban growth, urban extension, and urban sprawl are occasionally used interchangeably. An increase in the urbanised land cover is referred to as urban growth. Urban extension is one method of urban expansion. Urban sprawl is the term for urban growth that occurs as a result of unplanned or spontaneous urban development. Urban sprawl usually has negative connotations, associated with the generation or intensification of complex urban problems, such as land, water, and air pollution, with their consequent negative impacts on human health (Alberti, 1999; Antrop, 2004; Dickson, Baker, Hoornweg, & Asmita, 2012; Kumar & Pandey, 2013; Marshall, Pielke, Steyaert, & Willard, 2004; Pathan, Shukla, Patel, Patel, & Mehta, 1991; Rivas, Hernandez, & Cueto, 2003;Claudia, Sandra, Sergio, Jorge, 2019). Manya tauk, in the Indian state of Karnataka, is one of the fastest growing urban centres. In the last three decades, the taluk has seen a surge in urban growth and development in all directions. And it is expected to grow at a faster rate in the future. The satellite images of LandSat 5 TM, LandSat 7 ETM+ and LandSat 8 OLI/TIRS sensors for years 1995, 2005 and 2018 respectively is collected from Earth Explorer provided by USGS. Using a shape file of the study area downloaded from Diva GIS, supervised classification was also performed for the study areas using ERDAS Imagine 2014, and finally an agricultural thematic map was created using Arc GIS 10.2 version. Keywords: Urban Growth; GIS; Remote sensing

In the present study morphometric analysis of Arkavathi watershed is based on remote sensing and geographic information systems. The morphometric parameters are calculated with Carto sat DEM using Arc GIS 10.3 extension and Arc Hydrology tool in order to characterize it quantitatively. The current study involved determining the linear, aerial, and relief dimensions of the eight sub-watersheds for soil and water planning and management of the watershed. The watershed characterizes to have a dendritic pattern of drainage which has a medium stream frequency and moderate drainage density. Circularity ratio and form factor values indicate that sub watersheds are more or less elongated. The Length of the overland flow has a high value with gentle slopes and long flow paths. Understanding the procedures and methods of various morphometric factors can thus be used to prioritize watersheds for management, rainwater collection, and conservation planning. Keywords: Morphometric Analysis; Carto SATDEM; Remote Sensing; GIS