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Land Cover Change Detection and Prediction in the Fafan Catchment of Ethiopia

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Abstract

Land cover change is a pressing environmental issue that the Fafan catchment in Ethiopia is currently grappling with. In spite of several studies on the historical period, predictions on future land cover in Ethiopia in general and the Fafan catchment in particular are limited. In line with this, studies that integrate the local knowledge with remote sensing data are scarce. Thus, the purpose of the study is to examine the land cover dynamics and its drivers for 1990 to 2050, using a combination of satellite imagery and a socio-economic survey. To investigate the dynamics of land cover change, the study employed support vector machine, post-classification, multi-layer perception-artificial neural network, and cellular automata-Markov approaches. Thematic information extraction from satellite imagery was triangulated using local knowledge derived from key informant interviews (KIIs) and focus group discussions (FGDs). The results of the study revealed that the catchment includes six land cover categories, including cropland, settlement, barren land, forest, grassland, and shrubland. For the years 1990 to 2021, forest, grassland, and shrubland decreased by 13.2%, 4.6%, and 18%, respectively, while cropland, settlement, and barren land rose by 19.2%, 11.7%, and 4.9%, respectively. During this period, the net gain for cropland, settlement, and barren land was 30,705 ha; 18,541 ha; and 7,776 ha, respectively, while the net loss of shrubland, grassland, and forest was 28,675 ha; 7,294 ha; and 21,052 ha, respectively. Similarly, for the years 2022 to 2050, cropland, settlement, and barren land are predicted to increase by 9.1%, 3.5%, and 2.2%, respectively, while shrubland, forest, and grassland are expected to decrease by −1.3, −3.65%, and −10.1%, respectively. Furthermore, the findings of the study indicated that several factors have contributed to changes in land cover, including overgrazing, population growth, resettlement, wood collection, and cropland expansion. To this end, by combining socio-economic surveys and remote sensing data, this study has developed a reasonably accurate map of land cover changes. However, the use of very high-resolution satellite imagery, combined with local knowledge, could yield even better results than those obtained from Landsat imagery.

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References

  • Abbas Z, Jaber HS (2020) Accuracy assessment of supervised classification methods for extraction land use maps using remote sensing and GIS techniques. IOP Conf Ser Mater Sci Eng 745(1):012–166

    Article  Google Scholar 

  • Anderson JC, Wang J, Zeng J, Petrenko M, Leptoukh GG, Ichoku C (2012) Accuracy assessment of Aqua-MODIS aerosol optical depth over coastal regions: importance of quality flag and sea surface wind speed. Atmospheric Measurement Techniques Discussions 5(4):5205–5243

  • Asad SQ, Tesfaye E, Melese M (2018) Prospects of alternative cropping systems for salt-affected soils in Ethiopia. J Soil Sci Environ Manage 9(7):98–107

    Google Scholar 

  • Ayele A, Tarekegn K (2020) The impact of urbanization expansion on agricultural land in Ethiopia: a review. Environ Socio-Econ Stud 8(4):73–80

    Article  Google Scholar 

  • Berisso T (1995) Deforestation and environmental degradation in Ethiopia: the case of Jam Jam province. Northeast Afr Stud 2(2):139–155

    Article  Google Scholar 

  • Bewket W, Sterk G (2005) Dynamics in land cover and its effect on stream flow in the Chemoga watershed, Blue Nile Basin, Ethiopia. Hydrol Process 19(2):445–458

    Article  Google Scholar 

  • Birhanu A (2014) Environmental degradation and management in Ethiopian highlands: a review of lessons learned. Int J Environ Prot Policy 2(1):24–34

    Google Scholar 

  • Bose A, Chowdhury IR (2020) Monitoring and modeling of spatio-temporal urban expansion and land-use/land-cover change using Markov chain model: a case study in Siliguri Metropolitan area, West Bengal, India. Model Earth Syst Environ. 6(4):2235–2249

    Article  Google Scholar 

  • DasGupta R, Hashimoto S, Okuro T, Basu M (2019) Scenario-based land change modelling in the Indian Sundarban delta: an exploratory analysis of plausible alternative regional futures. Sustain Sci 14:221–240

  • Dwivedi RS, Sreenivas K, Ramana KV (2005) Cover: land-use/land-cover change analysis in part of Ethiopia using Landsat Thematic Mapper data. Int J Remote Sens 26(7):1285–1287

    Article  Google Scholar 

  • Fikre Z, Abdurhman M (2019) Land cover dynamics in eastern pastoral rangelands of Somali Region, Ethiopia. J Environ Earth Sci 2019:2224

    Google Scholar 

  • Foody GM (2020) Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sens Environ 239:111630

    Article  Google Scholar 

  • Gharaibeh A, Shaamala A, Obeidat R, Al-Kofahi S (2020) Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model. Heliyon 6(9):e05092

  • Girma R, Fürst C, Moges A (2022) Land use land cover change modeling by integrating the artificial neural network with cellular automata-Markov chain model in Gidabo river Basin, main Ethiopian rift. Environ Challenges 6:100419

    Article  Google Scholar 

  • Gutman G, Byrnes R, Masek J, Covington S, Justice C, Franks S, Kurtz R (2008) Towards monitoring land-cover and land-use changes at a global scale: the Global Land Survey 2005. Photogramm Eng Remote Sensing 74:6–10

    Google Scholar 

  • Handavu F, Chirwa PW, Syampungani S (2019) Socio-economic factors influencing land-use and land-cover changes in the miombo woodlands of the Copperbelt province in Zambia. Forest Policy Econ 100:75–94

  • Hansen MC, DeFries RS (2004) Detecting long-term global forest change using continuous fields of tree-cover maps from 8-km advanced very high-resolution radiometer (AVHRR) data for the years 1982–99. Ecosystems 7(7):695–716

    Article  Google Scholar 

  • Henok K, Dondeyne S, Poesen J, Frankl A, Nyssen J (2017) The transition from forest-based to cereal-based agricultural systems: a review of the drivers of land use change and degradation in Southwest Ethiopia. Land Degrad Dev 28(2):431–449

    Article  Google Scholar 

  • Kaul HA, Sopan I (2012) Land use land cover classification and change detection using high-resolution temporal satellite data. J Environ 1(4):146–152

    Google Scholar 

  • Keenan RJ, Reams GA, Achard F, de Freitas JV, Grainger A, Lindquist E (2015) Dynamics of global forest area: results from the FAO Global Forest Resources Assessment 2015. For Ecol Manage 352:9–20

    Article  Google Scholar 

  • Kindu M, Schneider T, Teketay D, Knoke T (2015) Drivers of land cover changes in the Munessa-Shashemene landscape of the south-central highlands of Ethiopia. Environ Monit Assess 187:1–17

    Article  Google Scholar 

  • Kuma HG, Feyessa FF, Demissie TA (2022) Land-use/land-cover changes and implications in Southern Ethiopia: evidence from remote sensing and informants. Heliyon 8(3):e09071

    Article  Google Scholar 

  • Leta MK, Demissie TA, Tränckner J (2021) Hydrological responses of watershed to historical and future land use land cover change dynamics of Nashe watershed, Ethiopia. Water 13(17):2372

    Article  Google Scholar 

  • Liang S, Cheng J, Zhang J (2020) Maximum likelihood classification of soil remote sensing image based on deep learning. Earth Sci Res J 24(3):357–365

    Article  Google Scholar 

  • Liping C, Yujun S, Saeed S (2018) Monitoring and predicting land cover changes using remote sensing and GIS techniques-a case study of a hilly area, Jiangle, China. PloS One 13(7):e0200493

    Article  Google Scholar 

  • Liu Y, Zhang Z, Tong L, Khalifa M, Wang Q, Gang C, Sun Z (2019) Assessing the effects of climate variation and human activities on grassland degradation and restoration across the globe. Ecol Indic 106:105504

    Article  Google Scholar 

  • Mamude M, Melka GA, Genet W (2021) Geospatial techniques based analysis on the impact of resettlement on land cover change in Esira District, Dawuro Zone, Ethiopia. Ghana J Geogr 13(1):203–221

    Article  Google Scholar 

  • Melese SM (2016) Effect of land use land cover changes on the forest resources of Ethiopia. Int J Natural Res Ecol Manag 1(2):51

    Google Scholar 

  • Mekuriaw T, Gokcekus H (2019) The impact of urban expansion on the physical environment in Debre Markos Town, Ethiopia. Civ Environ Res 11:16–26

    Google Scholar 

  • Munthali MG, Davis N, Adeola AM, Botai JO, Kamwi JM, Chisale HL, Orimoogunje OO (2019) Local perception of drivers of land-use and land-cover change dynamics across Dedza District, Central Malawi Region. Sustainability 11(3):832

    Article  Google Scholar 

  • Nedd R, Light K, Owens M, James N, Johnson E, Anandhi A (2021) A synthesis of land cover studies: definitions, classification systems, meta-studies, challenges and knowledge gaps on a global landscape. Land 10(9):994

    Article  Google Scholar 

  • Olorunfemi IE, Fasinmirin JT, Olufayo AA, Komolafe AA (2020) GIS and remote sensing-based analysis of the impacts of land cover change on the environmental sustainability of Ekiti State, southwestern Nigeria. Environ Dev Sustain 22(2):661–692

    Article  Google Scholar 

  • Regasa MS, Nones M, Adeba D (2021) A review on land cover change in Ethiopian basins. Land 10(6):585

    Article  Google Scholar 

  • Singh SK, Mustak S, Srivastava PK, Szabó S, Islam T (2015) Predicting spatial and decadal LULCC through cellular automata Markov chain models using earth observation datasets and geo-information. Environ Process 2(1):61–78

    Article  Google Scholar 

  • Song C, Kim W, Kim J, Gebru BM, Adane GB, Choi YE, Lee WK (2022) Spatial assessment of land degradation using MEDALUS focusing on potential afforestation and reforestation areas in Ethiopia. Land Degrad Dev 33(1):79–93

    Article  Google Scholar 

  • Tegene B (2002) Land-cover/land-use changes in the Derekolli catchment of the South Welo Zone of Amhara Region, Ethiopia. East Afr Soc Sci Res Rev 18(1):1–20

    Article  Google Scholar 

  • Temesgen G, Tulu T, Argaw M, Worqlul AW (2017) Evaluation and prediction of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia. Environmental Systems Research 6(1):1–15

  • Thai LH, Hai TS, Thuy NT (2012) Image classification using support vector machine and artificial neural network. Int J Inf Technol Comput Sci 4(5):32–38

    Google Scholar 

  • Tiscornia G, Jaurena M, Baethgen W (2019) Drivers, process, and consequences of native grassland degradation: insights from a literature review and a survey in Río de la Plata Grassland. Agronomy 9(5):239

    Article  Google Scholar 

  • Wan L, Xiang Y, You H (2019) A post-classification comparison method for SAR and optical image change detection.IEEE Geosci Remote Sens Lett 16(7):1026–1030

    Article  Google Scholar 

  • Wairore JN, Mureithi SM, Wasonga OV, Nyberg G (2015) Enclosing the commons: reasons for the adoption and adaptation of enclosures in the arid and semi-arid rangelands of Chepareria, Kenya. Springer Plus 4(1):1–11

    Article  Google Scholar 

  • Wassie SB (2020) Natural resource degradation tendencies in Ethiopia: a review. Environ Syst Res 9(1):1–29

    Article  Google Scholar 

  • Yigezu Wendimu G (2021) The challenges and prospects of Ethiopian agriculture. Cogent Food Agric 7(1):1923619

    Article  Google Scholar 

  • Zerga B (2015) Rangeland degradation and restoration: a global perspective. Point J Agriculture Biotechnol Res 1(2):37–54

    Google Scholar 

Download references

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Authors and Affiliations

  1. School of Geography and Environmental Studies, Haramaya University, Dire Dawa, Ethiopia

    Maereg Teklay Amare, Solomon Tekalign Demissie, Solomon Asfaw Beza & Sitotaw Haile Erena

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  1. Maereg Teklay Amare
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  2. Solomon Tekalign Demissie
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  3. Solomon Asfaw Beza
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  4. Sitotaw Haile Erena
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Correspondence to Maereg Teklay Amare.

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Amare, M.T., Demissie, S.T., Beza, S.A. et al. Land Cover Change Detection and Prediction in the Fafan Catchment of Ethiopia. J geovis spat anal 7, 19 (2023). https://doi.org/10.1007/s41651-023-00148-y

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