Land Use Land Cover Change within Kessem watershed, Central Rift Valley of Ethiopia: The Case of Minijar-Shenkora Woreda

Land-use land covers are not static rather they are dynamic in response to various driving forces. The main objective of this study was to assess land use land cover changes of Minjar-Shenkora Woreda during the three decades (1987–2017). Three different Landsat satellite data sets (Landsat 5 TM, 7 ETM+ and 8 OLI-TIRS) of 1987, 2003 and 2017 were used from the United States Geological Survey (USGS), respectively. The data were processed, and the land use land cover classes were also identified using ERDAS Imagine (ver. 2014) and Arc GIS (Ver.10.3). The study revealed that forest and shrub lands have diminished from 32885 hectaresto 16034 hectaresand 61939 hectaresto 32530 hectares, respectively while agriculture and bare lands have increased from 52524 hectaresto 90859 hectaresand 3018 hectares to7441 hectares, respectively. Moreover, built up areas also have encroached farm lands and bush lands. Over utilization of wood for fuel and construction materials, human induced fire and uncontrolled grazing, population and socio-economic changes are the main causes of the land use land cover changes. On the other hand, people’s livelihood vulnerabilities and degradation are the main outcomes of the land use land cover changes. Thus, the concerned bodies of the Woreda along with the communities should discuss and formulate law that can help to protect and preserve natural vegetation, expansion of farm lands to marginal lands as well as prevent invading of farmlands by urban horizontal expansion.

Publication Details

Journal
National Academic Digital Repository of Ethiopia
Published
2025-08-30
DOI
https://doi.org/10.20372/ejed.v04i2.05
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Land Use Land Cover Change within Kessem watershed, Central Rift Valley of Ethiopia: The Case of Minijar-Shenkora Woreda

National Academic Digital Repository of Ethiopia
Land Use and Ecosystem Services
article

Land Use Land Cover Change within Kessem watershed, Central Rift Valley of Ethiopia: The Case of Minijar-Shenkora Woreda

article en

Abstract

Land-use land covers are not static rather they are dynamic in response to various driving forces. The main objective of this study was to assess land use land cover changes of Minjar-Shenkora Woreda during the three decades (1987–2017). Three different Landsat satellite data sets (Landsat 5 TM, 7 ETM+ and 8 OLI-TIRS) of 1987, 2003 and 2017 were used from the United States Geological Survey (USGS), respectively. The data were processed, and the land use land cover classes were also identified using ERDAS Imagine (ver. 2014) and Arc GIS (Ver.10.3). The study revealed that forest and shrub lands have diminished from 32885 hectaresto 16034 hectaresand 61939 hectaresto 32530 hectares, respectively while agriculture and bare lands have increased from 52524 hectaresto 90859 hectaresand 3018 hectares to7441 hectares, respectively. Moreover, built up areas also have encroached farm lands and bush lands. Over utilization of wood for fuel and construction materials, human induced fire and uncontrolled grazing, population and socio-economic changes are the main causes of the land use land cover changes. On the other hand, people’s livelihood vulnerabilities and degradation are the main outcomes of the land use land cover changes. Thus, the concerned bodies of the Woreda along with the communities should discuss and formulate law that can help to protect and preserve natural vegetation, expansion of farm lands to marginal lands as well as prevent invading of farmlands by urban horizontal expansion.

National Academic Digital Repository of Ethiopia
Sustainable cities and communities
Openalex Percentile: Top 59%
Land Use and Ecosystem Services
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.