Land Use Land Cover Mapping with Change Detection: A Spatio-temporal Analysis of Ambo Woreda, Ethiopia from 2000 to 2020

Abstract

The main aim of this present study is to identify and detect the land use, land cover changes occurred in the Ambo Woreda of West Shewa Zone in Ethiopia and to integrate the Remote Sensing and GIS data for analyzing and evaluating the changes in land-use of study area. Based on remotely sensed data, the Land Use Land Cover (LULC) maps and field records have been considered for investigation. Landsat7 ETM+ image of 2000 and Sentinel 2A image of 2020 are the two remotely sensed images of study area used in this study. The supervised classification based on maximum likelihood classifier in ArcGIS 10.3 has been used to identify the five major categories of LULC. The observation on the period of twenty years reveals that the agricultural land and built-up areas have stretched rapidly to the adjacent fallow lands. Also, there is significant loss in Hilly Vegetation due to settlements and industrial expansion in the fastest growing region of the Oromia Zone.

Keywords

• land use land cover
• change detection
• sentinel – 2a
• supervised classification
• ambo