Journal of Remote Sensing & GIS

Abstract

Time series exploration of change detection analysis in Arba Minch Zuria woreda, Ethiopia

Melaku Getachew

The interaction of human activities and the natural environment can cause a change in land use/ land cover. Mapping and Monitoring the change in land use/land cover changes is vital for sustainable development, planning, and management. The study was conducted to monitor the change in LULC of Arbaminch Zuria Woreda between 1986 and 2017 by using remote sensing (RS) and GIS techniques. Images from Landsat4/5 thematic mapper(TM) and Landsat 8 operational land imager (OLI) of multispectral bands were used to extract land-use maps. Supervised classification methodology was applied using a maximum likelihood algorithm to formulate a LULC map of the watershed. The image of the study area was categorized into five different classes; namely agriculture, built-up, waterbody, forest, and river. The accuracy of the classified image was assessed through ground GPS referenced data. The result showed that forest and built-up areas have increased by +41.59 % (7428.5 ha) and +5.78 % (1033.1ha) while agriculture and waterbody have decreased by -47.1 % (8414.14 ha) and -3.01 % (479.6 ha) respectively. The finding of the study points out policy suggestions for sustainable LULC management in Arbamich Zuria Woreda.

Published Date: 2021-10-06;