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.

Highlights

  • For a human being to survive on earth, land is one of the important natural resource next to water

  • The classification results provided a great detail of the key land use and land cover (LULC) features of the Ambo town for the selected period

  • The multi-temporal analysis of satellite image data clearly showed that hilly vegetation and fallow lands have decreased; in the contrary agricultural land, barren land and built|

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Summary

Introduction

For a human being to survive on earth, land is one of the important natural resource next to water. Land use is explained as how man is utilizing the land whereas land cover is the vegetation spread over the land. LC data shows how much of an area is covered by natural phenomena but land use data shows how people utilize the landscape [1]. Drastic changes in land use and land cover (LULC) have been seen since the twentieth century and those traceable changes resulted in a complex land use structure [2]. Due to the increase in population and the flow of people from rural to urban areas, major towns and cities of the world have experienced rapid urban growth. Various driving factors like population pressure and development makes the LULC change dynamics non-uniform throughout the world [3]

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