Abstract

Land use land cover (LULC) change analysis emerged as one of the most significant factors which assist decision makers to ensure sustainable development and to understand the dynamics of our changing environment. An integrated approach of remote sensing and GIS has been used to study the land use land cover dynamics of Kurabas Kebele, Takussa Woreda, Centeral Gondar zone. Landsat satellite imageries of three different time periods, i.e., Landsat data of 2001, 2011 and 2021 were acquired and used to quantify the land use land cover changes in the study area from 2001 to 2021 over a period of thirty years. ERDAS Imagine 14 software has been used to carry out the supervised classification using a maximum likelihood technique. The purpose of this study is therefore concerned with identifying the change in land use and land cover detection of Kurabas Kebele, Takussa Woreda, Centeral Gondar zone. To identify land cover changes detection; remote sensing data, satellite imagery and image processing techniques had done within three dates of 2001, 2011 and 2021 using Landsat TM 30 m resolution images. The classification had done using four land cover (cultivated, shrub land, grassland, forestland, and residential land) class. Preprocessing and classification of the images had analyzed and accuracy assessment was tested separately using the kappa coefficient. The results showed that overall accuracy in the area is 82.14% and kappa coefficient of 0.72% for the years of 2021. This study indicated that in the last 20 years period, cultivated land and Settlement areas had significantly increased by 34.34% and 77.3% respectively in the area. Therefore, proper land management practices, and active participation of the local community should be advance to protect undesirable LULC change in the study area. Objective Therefore, the aim of this study is to assess the trend of land use and land cover change in the Kurabas Kebele, Takussa Woreda, Centeral Gondar zone, Ethiopia. Therefore, I expect that the finding of this study could contribute information for decision-makers, land managers and planners for sustainable development and management of the natural resource. DOI: 10.7176/JESD/13-17-02 Publication date: September 30 th 2022

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