• S.Praveen Kumar
• Siva Prathap. T
• M. Nagarjuna Reddy

Using multi-temporal satellite imagery, digital change detection algorithms can be used to better understand landscape dynamics. An analysis of land use/cover changes in the Kadapa District of Andhra Pradesh, India's Andhra Pradesh state is presented here. In order to determine the changes in the study region from 2008 to 20018, the earth explorer site obtained Landsat satellite images from two separate time periods, i.e. Landsat Thematic Mapper (TM). ERDAS2014 Software employs supervised classification approaches based on maximum likelihood. In order to categorise the photographs of the research region, they were divided into five categories: forest, agriculture, wastelands, built-up areas, and waterways. According to the findings, the amount of waste land and built-up land has increased by 3.48 percent (12.82 Sq km) and 4.03 percent (14.86 Sq km) during the past decade, while agriculture, forest, and waterbodies have dropped by 6.81 percent, 3.72 percent, and 1.9 percent, respectively.

Landuse/Landcover, Remote Sensing, Change detection techniques, Landsat 8 Imagine, GIS.

"DECADAL CHANGE IN LAND USE PATTERNS IN PORUMAMILLA MANDAL IN ANDHRA PRADESH USING OPEN SOURCE SATELLITE DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.1163-1177, September 2020, Available :http://www.jetir.org/papers/JETIR2009455.pdf

"DECADAL CHANGE IN LAND USE PATTERNS IN PORUMAMILLA MANDAL IN ANDHRA PRADESH USING OPEN SOURCE SATELLITE DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp1163-1177, September 2020, Available at : http://www.jetir.org/papers/JETIR2009455.pdf