Dynamics of Land Use and Land Cover Change in Bishoftu City, Oromia Regional State Ethiopia

Authors

  • Belayneh Tsehay Environmental Protection Authority, Ethiopia

DOI:

https://doi.org/10.69930/ajer.v1i3.225

Keywords:

Urbanization, remote sensing, satellite imagery, cropland, vegetation

Abstract

This study investigates the land use and land cover (LULC) dynamics in Bishoftu City, Oromia Regional State, Ethiopia, The LULC analysis from 1990 to 2020 in the area reveals significant transformations in land use categories: cropland, vegetation, settlements, and wetlands. Initially, in 1990, cropland dominated the landscape, covering 76% of the total area, with vegetation at 14%, settlements at 6%, and wetlands at 4%. Over the three decades, cropland consistently decreased, dropping to 74% in 2000, 73% in 2010, and 64.7% by 2020. Vegetation cover also saw a decline from 14% in 1990 to 10% in 2020. In contrast, settlement areas increased substantially, from 6% in 1990 to 22.8% in 2020. Wetlands showed a minor but consistent reduction, decreasing from 4% in 1990 to 2.6% in 2020. These changes are predominantly driven by urban expansion, deforestation, agricultural activities, and economic development. Accuracy assessments of classified maps revealed high reliability, with overall accuracy ranging from 96% to 98%. The study highlights the urgent need for sustainable urban planning, reforestation efforts, wetland conservation, and effective land use regulations to mitigate adverse environmental impacts. In conclusion, the research underscores the critical role of understanding and addressing LULC dynamics for sustainable development. Recommendations include enhancing land use regulations, promoting sustainable agricultural practices, developing wetland conservation programs, and improving public awareness and education. This study provides valuable insights for policymakers and urban planners to make informed decisions and promotes sustainable land management practices in Bishoftu City.

References

Nath B, Wang Z, Ge Y, Islam K, Singh RP, Niu Z. Land use and land cover change modeling and future potential landscape risk assessment using Markov-CA model and analytical hierarchy process. ISPRS Int J Geo-Information. 2020;9(2).

Das S, Angadi DP. Land use land cover change detection and monitoring of urban growth using remote sensing and GIS techniques: a micro-level study. GeoJournal. 2022 Jun;87(3):2101–23.

Assefa WW, Eneyew BG, Wondie A. The impacts of land-use and land-cover change on wetland ecosystem service values in peri-urban and urban area of Bahir Dar City, Upper Blue Nile Basin, Northwestern Ethiopia. Ecol Process. 2021;10(1).

Peter A, Bakari IH. Impact of Population Growth on Economic Growth in Africa: A Dynamic Panel Data Approach (1980 -2015). Pakistan J Humanit Soc Sci. 2018;6(4):412–27.

Güneralp B, Lwasa S, Masundire H, Parnell S, Seto KC. Urbanization in Africa: Challenges and opportunities for conservation. Environ Res Lett. 2018 Jan;13(1).

Abedini A, Khalili A, Asadi N. Urban Sprawl Evaluation Using Landscape Metrics and Black-and-White Hypothesis (Case Study: Urmia City). J Indian Soc Remote Sens. 2020 Jul;48(7):1021–34.

Rwanga SS, Ndambuki JM. Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS. Int J Geosci. 2017;08(04):611–22.

Srimathi N, Sathishkumar V, Elangovan AK. Urban land use land cover change detection using remotely sensed data for Coimbatore City. 2014;

Rajkumar R, Elangovan & K. Impact of urbanisation on formation of urban heat island in Tirupur region using geospatial technique. Vol. 49, Indian Journal of Geo Marine Sciences. 2020.

Ioja C, Qureshi S. Urban Wildland—Forests, Waters and Wetlands. In 2020. p. 177–287.

Menashe-Oren A, Sánchez-Páez DA. Male Fertility and Internal Migration in Rural and Urban Sub-Saharan Africa. Vol. 39, European Journal of Population. Springer Netherlands; 2023. 1–40 p.

Alsharif AAA, Pradhan B, Mansor S, Zulhaidi H, Shafri M. URBAN EXPANSION ASSESSMENT BY USING REMOTELY SENSED DATA AND THE RELATIVE SHANNON ENTROPY MODEL IN GIS:: A CASE STUDY OF TRIPOLI, LIBYA. Source Theor Empir Res Urban Manag. 2015;10(1):55–71.

Hall P. Cities of tomorrow SCHOOL CITY HALL 150 YEARS OF PUBLIC UTILITY SERVICES. Sons JW&, editor. 2014.

Amsalu T, Kefale B. Resettlement and land rights: Implication on land use and land cover change in Ethiopia. J Agric Environ Sci. 2023;8(2):111–37.

Regasa MS, Nones M, Adeba D. A review on land use and land cover change in ethiopian basins. Land. 2021 Jun;10(6).

Gaur S. A Comprehensive Review on Land Use / Land Cover ( LULC ) Change Modeling for Urban Development : Current Status and Future Prospects. 2023;

Olfato A, Pauline P, Sobremonte A, Eduard J, Dizon L, Joshua K, et al. Land use / land cover changes ( LULCC ) using remote sensing analyses in Rizal , Philippines. GeoJournal. 2023;88(6):6105–18.

Chandel AS, Dedecha KA, Bekele D. GIS and remote sensing-based site suitability analysis for a new abattoir: a case study in Adola Woyu town, Ethiopia. Urban, Plan Transp Res. 2024;12(1).

Ayenachew YA, Abebe BG. The dynamics of urbanization, land use land cover changes, and land expropriation in Addis Ababa, Ethiopia. Front Environ Sci. 2024;12(August):1–11.

Kebede GF. Entrepreneurship and the Promises of Inclusive Urban Development in Ethiopia. Urban Forum. 2023;34(1):1–30.

Woldegebriel Tessema M, Girma Abebe B. Quantification of land use/land cover dynamics and urban growth in rapidly urbanized countries: The case Hawassa city, Ethiopia. Urban, Plan Transp Res. 2023;11(1).

Tessema MW, Abebe BG, Bantider A. Physical and socioeconomic driving forces of land use and land cover changes: the case of Hawassa City, Ethiopia. Front Environ Sci. 2024;12(March):1–28.

Www W:, Sankhala S, Singh BK. International Journal of Emerging Technology and Advanced Engineering Evaluation of Urban Sprawl and Land use Land cover Change using Remote Sensing and GIS Techniques: A Case Study of Jaipur City, India. Vol. 9001, Certified Journal.

Wu H, Lin A, Xing X, Song D, Li Y. Identifying core driving factors of urban land use change from global land cover products and POI data using the random forest method. Int J Appl Earth Obs Geoinf. 2021 Dec;103.

Zhang M, Gao Y, Wang A, Zhang L, Yang K. Land use change impacts on climate extremes over the historical period. Clim Dyn. 2024;8993–9011.

Sankar MS, Dash P, Lu YH, Mercer AE, Turnage G, Shoemaker CM, et al. Land use and land cover control on the spatial variation of dissolved organic matter across 41 lakes in Mississippi, USA. Hydrobiologia. 2020;847(4):1159–76.

Darem AA, Alhashmi AA, Almadani AM, Alanazi AK, Sutantra GA. Development of a map for land use and land cover classification of the Northern Border Region using remote sensing and GIS. Egypt J Remote Sens Sp Sci. 2023 Aug;26(2):341–50.

CSA. Central Statistical Agency the Federal Democratic Republic of Statistical Report on the 2014 Urban Employment Unemployment. 2014;(October).

Karandikar A, Agrawal A. Performance analysis of change detection techniques for land use land cover. Int J Electr Comput Eng. 2023;13(4):4339–46.

Sarma YVNM, Praveen E. Advancements in Digital Image Processing : Unveiling Techniques for Enhanced Image Quality. 2024;984(3):189–96.

Lin X, Xu M, Cao C, Singh RP, Chen W, Ju H. Land-use/land-cover changes and their influence on the ecosystem in Chengdu City, China during the period of 1992-2018. Sustain. 2018;10(10):1–20.

Salvi M, Acharya UR, Molinari F, Meiburger KM. The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis. Comput Biol Med. 2021;128:104129.

Dong R, Dong J, Wu G, Deng H. Optimization of post-classification processing of high-resolution satellite image: A case study. Sci China, Ser E Technol Sci. 2006;49(SUPPL. 1):98–107.

Onuegbu FE, Egbu AU. Employing post classification comparison to detect land use cover change patterns and quantify conversions in Abakaliki LGA Nigeria from 2000 to 2022. Sci Rep. 2024;14(1):1–10.

Kumar Y, Yashas Kumar HK, Varija K. Accuracy Assessment of Land Cover Classification and Change Detection using Remote Sensing and GIS. 2022.

Thakkar AK, Desai VR, Patel A, Potdar MB. The Egyptian Journal of Remote Sensing and Space Sciences Post-classification corrections in improving the classification of Land Use / Land Cover of arid region using RS and GIS : The case of Arjuni watershed , Gujarat , India q. Egypt J Remote Sens Sp Sci. 2017;20(1):79–89.

Tempa K, Ilunga M, Agarwal A, Forest R, Scholar G. Utilizing Sentinel-2 for Recent Urbanization Trends on LULC Using a Semi-Automatic RF Classifier and Vegetation Change Dynamics for Gelephu , Bhutan. 2023;

Darem AA, Alhashmi AA, Almadani AM, Alanazi AK, Sutantra GA. The Egyptian Journal of Remote Sensing and Space Sciences Development of a map for land use and land cover classification of the Northern Border Region using remote sensing and GIS. Egypt J Remote Sens Sp Sci. 2023;26(2):341–50.

Decades T. Accuracy Assessment of Digital Elevation Models ( DEMs ): A Critical Review of Practices of the Past Three Decades. 2020;1–27.

Abebe BG, Gemeda BS, Sisay G. Analysing land use land cover (LULC) dynamics by using remote sensing and GIS techniques: the case of Dukem town, Oromia special zone. Geocarto Int. 2023;38(1).

Hussein A. Impacts of Land Use and Land Cover Change on Vegetation Diversity of Tropical Highland in Ethiopia. Appl Environ Soil Sci. 2023;2023.

Abera A, Yirgu T, Uncha A. Impact of resettlement scheme on vegetation cover and its implications on conservation in Chewaka district of Ethiopia. Environ Syst Res. 2020;9(1).

Abebe G, Getachew D, Ewunetu A. Analysing land use/land cover changes and its dynamics using remote sensing and GIS in Gubalafito district, Northeastern Ethiopia. SN Appl Sci. 2022 Jan;4(1).

Genet A. Population Growth and Land Use Land Cover Change Scenario in Ethiopia. Int J Environ Prot Policy. 2020;8(4):77.

Davidson NC. How much wetland has the world lost? Long-term and recent trends in global wetland area. Mar Freshw Res. 2014;65(10):934–41.

R, Yaro J a, Yamauchi F, Larson DF, Work SFOR, Work D, et al. No 主観的健康感を中心とした在宅高齢者における 健康関連指標に関する共分散構造分析Title. World Dev. 2018;1(1):1–15.

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Published

2024-12-27

How to Cite

Tsehay, B. (2024). Dynamics of Land Use and Land Cover Change in Bishoftu City, Oromia Regional State Ethiopia. Asian Journal of Environmental Research, 1(3), 237–248. https://doi.org/10.69930/ajer.v1i3.225