Multi-decadal Land Use and Land Cover Change Detection Using Landsat Time Series in the Wadi Rdat Basin, Morocco
DOI:
https://doi.org/10.22456/1807-9806.153402Palabras clave:
Land use and land cover, Spatio-temporal, GIS, Wadi Rdat BasinResumen
Land use and land cover (LULC) changes represent a key indicator of environmental dynamics, particularly in semi-arid regions where natural resources are highly sensitive to anthropogenic pressure and climatic conditions. Understanding the spatio-temporal evolution of LULC is essential for sustainable land and water management. This study examines long-term LULC changes in the Wadi Rdat Basin, central Morocco, using multi-temporal Landsat satellite imagery and GIS-based techniques. A diachronic analysis was conducted over a 30-year period from 1990 to 2020, based on Landsat TM and OLI data. Supervised classification using the Maximum Likelihood algorithm was employed to generate LULC maps for four representative years. Six major LULC classes were identified: forest, agricultural land, fallow land and rangelands, built-up areas, bare land, and water bodies. The results indicate significant transformations, characterized by a continuous decline in forest cover, dynamic changes in agricultural land, a marked expansion of bare land, and gradual urban growth. These findings highlight ongoing land degradation processes and provide valuable insights for future land-use planning and environmental management in the basin.
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Afenzar, M.; Achiban, H.; Abahrour , M.; Hmamouchi, M.; Senhaji, M.; Ennaji, N.; Halouan, S. 2025. Using Simulated Rainfall to Assess Water Erosion in the Aghrouz Watershed (Southern Rif, Morocco). Pesquisas em Geociências, 52(1): e146225. https://doi.org/10.22456/1807-9806.146225
Alvarez, C.I. & Govind, A. 2025. Assessing climate and land use changes in Morocco (2001–2023): from a geospatial and farmers’ perspective. Theoretical and Applied Climatology, 156: 420. https://doi.org/10.1007/s00704-025-05656-z
Arari, K.; Amhani, Z.; Tribak, A.; El-Ommal, M.; Laaraj, M.; Azagouagh, K. 2025. Analysis of land use changes and soil erosion in the Wadi Larbâa Basin (Eastern Pre-Rif, Morocco): a spatial assessment from 1984 to 2024. Mediterranean Geoscience Reviews, 7: 1007-1025. https://doi.org/10.1007/s42990-025-00200-7
Assede, E.S.P.; Orou, H., Biaou, S.S.H.; Geldenhuys, C.J.; Ahononga, F.C.; Chirwa, P.W. 2023. Understanding Drivers of Land Use and Land Cover Change in Africa: A Review. Current Landscape Ecology Reports, 8: 62-72. https://doi.org/10.1007/s40823-023-00087-w
Benbih, M.; Ouammou, A.; Nmiss, M.; Boukdoun, A.; Nait-Si, H. 2025. Impact of human activities on soil degradation and sustainability of oasis ecosystems in the Middle Draa (Morocco). Revista de Estudios Andaluces, 50: 266-285. https://doi.org/10.12795/rea.2025.i50.12
Ben-Said, M.; Chemchaoui, A.; Etebaai, I.; Taher, M. 2025. Land use and land cover changes in Morocco: Trends, research gaps, and perspectives. GeoJournal, 90: 44. https://doi.org/10.1007/s10708-024-11214-3
Chrif El Idrissi, M.C.; Er‑Riyahi Saber, E.; Al Mashoudi, A. 2024. Land use and land cover change analysis using geospatial techniques: A case study of the Dayet Aoua Watershed, Middle Atlas, Morocco. Environmental & Socio‑economic Studies, 12(4): 45-56. https://doi.org/10.2478/environ-2024-0024
Chrif El Idrissi, M.; El Attar, M.; Saber, E.R.; El Ghalbi, K. 2026. Four decades of land use and land cover change in the Ouiouane forest area (Middle Atlas, Morocco): A remote sensing and GIS-based assessment (1984–2024). Euro-Mediterranean Journal for Environmental Integration, 11: 87. https://doi.org/10.1007/s41207-025-01051-2
Cohen, J. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1): 37-46. https://doi.org/10.1177/001316446002000104
Congalton, R.G. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37(1): 35-46. https://doi.org/10.1016/0034-4257(91)90048-B
Coppin, P.; Jonckheere, I.; Nackaerts, K.; Muys, B.; Lambin, E.F. 2004. Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25(9): 1565-1596. https://doi.org/10.1080/0143116031000101675.
Debolini, M.; Marraccini, E.; Dubeuf, J.-P.; Geijzendorffer, I.R.; Guerra, C.; Simon, M.; Targetti, S.; Napoléone, C. 2018. Land and farming system dynamics and their drivers in the Mediterranean Basin. Land Use Policy, 74: 71-85. https://doi.org/10.1016/j.landusepol.2018.03.035
Dregne, H.E. 2002. Land degradation in the drylands. Arid Land Research and Management, 16(2): 99-132. https://doi.org/10.1080/153249802317304422
El Mazi, M.; Saber, E.R.; El-Bouhali, A.; Hmamouchi, M.; Bade, M.; Dhaouadi, L. 2026. Long-term Response of Vegetation to Global Change in the High Rif (Morocco): an Analysis Based on Remote Sensing Data. Earth Systems and Environment, (2026). https://doi.org/10.1007/s41748-025-01018-x
Ellis, E.C.; Goldewijk, K.K.; Siebert, S.; Lightman, D.; Ramankutty, N. 2010. Anthropogenic transformation of the biomes, 1700–2000. Global Ecology and Biogeography, 19(5): 589-606. https://doi.org/10.1111/j.1466-8238.2010.00540.x
FAO. 2018. The state of the world’s forests 2018: Forest pathways to sustainable development. FAO. https://openknowledge.fao.org/items/28896bfc-567c-4e4e-a1b2-d28e78867028
Ferreira, R.H.S. & Angelo, N.P. 2018. Change detection in remote sensing multitemporal image data by applying support vector machines using polynomial kernel and radial basis function (RBF) kernel. Pesquisas em Geociências, 45(2): e0674. https://doi.org/10.22456/1807-9806.88649
Foley, J.A.; DeFries, R.; Asner, G.P.; Barford, C.; Bonan, G.; Carpenter, S.R.; Chapin, F.S.; Coe, M.T.; Daily, G.C.; Gibbs, H.K.; Helkowski, J.H.; Holloway, T.; Howard, E.A.; Kucharik, C.J.; Monfreda, C.; Patz, J.A.; Prentice, I.C.; Ramankutty, N.; Snyder, P.K. 2005. Global consequences of land use. Science, 309(5734): 570-574. https://doi.org/10.1126/science.1111772
Foody, G.M. 2002. Status of land cover classification accuracy assessment. Remote Sensing of Environment, 80(1): 185-201. https://doi.org/10.1016/S0034-4257(01)00295-4
García-Ruiz, J.M.; López-Moreno, J.I.; Vicente-Serrano, S.M.; Lasanta-Martínez, T.; Beguería, S. 2013. Mediterranean water resources in a global change scenario. Earth-Science Reviews, 105(3–4): 121-139. https://doi.org/10.1016/j.earscirev.2011.01.006
Geist, H.J. & Lambin, E.F. 2002. Proximate causes and underlying driving forces of tropical deforestation: Tropical forests are disappearing as the result of many pressures, both local and regional, acting in various combinations in different geographical locations. BioScience, 52(2): 143-150. https://doi.org/10.1641/0006-3568(2002)052[0143:PCAUDF]2.0.CO;2
Gouveia, R.G.L.; Galvanin, E.A.S.; Neves, S.M.A.S.; Neves, R.J. 2015. Environmental fragility analysis in the Queima-Pé river basin, Tangará da Serra, MT. Pesquisas em Geociências, 42(2): 131-140. https://doi.org/10.22456/1807-9806.78115
Hansen, M.C. & Loveland, T.R. 2012. A review of large area monitoring of land cover change using Landsat data. Remote Sensing of Environment, 122: 66-74. https://doi.org/10.1016/j.rse.2011.08.024
Irifi, H.; Sebbab, M.M.; Ousbih, M.; Ziyadi, M.; El Ouahidi, A. 2025. Landscape characterization and dynamics of oases in arid environments: A study of the Timoulay Oumaloukt and Timoulay n’Tozomte oases in Ait Herbil (Guelmim-Oued Noun, Morocco). Cuadernos de Investigación Geográfica, 51(2): 233-262. https://doi.org/10.18172/cig.6475
Kennedy, R.E.; Yang, Z.; Cohen, W.B. 2010. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms. Remote Sensing of Environment, 114(12): 2897-2910. https://doi.org/10.1016/j.rse.2010.07.008
Kennedy, R.E.; Andréfouët, S.; Cohen, W.B.; Gómez, C.; Griffiths, P.; Hais, M.; Healey, S.P.; Helmer, E.H.; Hostert, P.; Lyons, M.B.; Meigs, G.W.; Pflugmacher, D.; Phinn, S.R.; Powell, S.L.; Scarth, P.; Sen, S.; Schroeder, T.A.; Schneider, A.; Sonnenschein, R.; Vogelmann, J.E.; Wulder, M.A.; Zhu, Z. 2014. Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment, 12(6): 339-346. https://doi.org/10.1890/130066.
Lambin, E.F.; Turner, B.L.; Geist, H.J.; Agbola, S.B.; Angelsen, A.; Bruce, J.W.; Coomes, O.T.; Dirzo, R.; Fischer, G.; Folke, C.; George, P.S.; Homewood, K.; Imbernon, J.; Leemans, R.; Li, X.; Moran, E.F.; Mortimore, M.; Ramakrishnan, P.S.; Richards, J.F.; … Xu, J. 2001) The causes of land‑use and land‑cover change: Moving beyond the myths. Global Environmental Change, 11(4): 261-269. https://doi.org/10.1016/S0959-3780(01)00007-3
Lambin, E.F.; Geist, H.J.; Lepers, E. 2003. Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources, 28: 205-241. https://doi.org/10.1146/annurev.energy.28.050302.105459
Leghrib, F.; Mazouz, S.; Martellozzo, F. 2025. From palm groves to urban zones: Patterns and past trends of urban sprawl and land use efficiency in semi-arid context, case of Biskra, Algeria. International Journal of Sustainable Development and Planning, 20(12): 5043-5057. https://doi.org/10.18280/ijsdp.201202
Loulad, S.; Nguyen, T.T.; Simou, M.R.; Rhinane, H.; Buerkert, A. 2023. Monitoring rural-urban transformation in the coastal region of Rabat-Sale-Kenitra, Morocco. PLOS ONE, 18(8): e0290829. https://doi.org/10.1371/journal.pone.0290829
Lu, D. & Weng, Q. 2007. A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5): 823-870. https://doi.org/10.1080/01431160600746456
Lu, D.; Mausel, P.; Brondízio, E.; Moran, E. 2004. Change detection techniques. International Journal of Remote Sensing, 25(12): 2365-2401. https://doi.org/10.1080/0143116031000139863
Meyfroidt, P.; Roy Chowdhury, R.; de Bremond, A.; Ellis, E.C.; Erb, K.-H.; Filatova, T.; Garrett, R.D.; Grove, J.M.; Heinimann, A.; Kuemmerle, T.; Kull, C.A.; Lambin, E.F.; Landon, Y.; le Polain de Waroux, Y.; Messerli, P.; Müller, D.; Nielsen, J.Ø.; Peterson, G.D.; Rodriguez García, V.; Schlüter, M.; Verburg, P.H. 2018. Middle-range theories of land system change. Global Environmental Change, 53: 52-67. https://doi.org/10.1016/j.gloenvcha.2018.08.006
Nmiss, M.; Amyay, M.; Atiki, N.; Benbih, M.; Nait-Si, H.; Naji, M.E. 2025. Multidecadal evolution of the shoreline change at Agadir beach (Morocco): A GIS and high-resolution satellite imagery analysis. Pesquisas em Geociências, 52(1): e145533. https://doi.org/10.22456/1807-9806.145533.
Olofsson, P.; Foody, G.M.; Stehman, S.V.; Woodcock, C.E. 2013. Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sensing of Environment, 129: 122-131. https://doi.org/10.1016/j.rse.2012.10.031
Olofsson, P.; Foody, G.M.; Herold, M.; Stehman, S.V.; Woodcock, C.E.; Wulder, M.A. 2014. Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment, 148, 42-57. https://doi.org/10.1016/j.rse.2014.02.015
Richards, J.A. & Jia, X.P. 2006. Remote sensing digital image analysis: An introduction (4th ed.). Springer. https://doi.org/10.1007/3-540-29711-1
Roy, D.P.; Wulder, M.A.; Loveland, T.R.; Woodcock, C.E.; Allen, R.G.; Anderson, M.C.; Helder, D.; Irons, J. R.; Johnson, D.M.; Kennedy, R.; Scambos, T.A.; Schaaf, C.B.; Schott, J.R.; Sheng, Y.; Vermote, E.F.; Belward, A.S.; Bindschadler, R.; Cohen, W.B.; Gao, F.; Zhu, Z. 2014. Landsat-8: Science and product vision for terrestrial global change research. Remote Sensing of Environment, 145: 154-172. https://doi.org/10.1016/j.rse.2014.02.001
Salvati, L.; Munafò, M.; Morelli, V.G.; Sabbi, A. 2012. Low-density settlements and land use changes in a Mediterranean urban region. Landscape and Urban Planning, 105(1–2): 43-52. https://doi.org/10.1016/j.landurbplan.2011.11.020
Scaramuzza, P.L.; Bouchard, M.A.; Dwyer, J.L. 2012. Development of the Landsat Data Continuity Mission cloud-cover assessment algorithms. IEEE Transactions on Geoscience and Remote Sensing, 50(4): 1140-1154. https://doi.org/10.1109/TGRS.2011.2164087
Shiferaw, N.; Habte, L.; Waleed, M. 2025. Land use dynamics and their impact on hydrology and water quality of a river catchment: a comprehensive analysis and future scenario. Environmental Science and Pollution Research, 32: 4124-4136. https://doi.org/10.1007/s11356-025-35946-y
Singh, A. 1989. Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10(6): 989-1003. https://doi.org/10.1080/01431168908903939
UNCCD. 2017. Global land outlook: First edition. United Nations Convention to Combat Desertification. https://www.unccd.int/sites/default/files/documents/2017-09/GLO_Full_Report_low_res.pdf
Veldkamp, A. & Lambin, E.F. 2001. Predicting land-use change. Agriculture, Ecosystems & Environment, 85(1–3): 1-6. https://doi.org/10.1016/S0167-8809(01)00199-2.
Wulder, M.A.; Loveland, T.R.; Roy, D.P.; Crawford, C.J.; Masek, J.G.; Woodcock, C.E.; Allen, R.G.; Anderson, M.C.; Belward, A.S.; Cohen, W.B.; Dwyer, J.; Erb, A.; Gao, F.; Griffiths, P.; Helder, D.; Hermosilla, T.; Hipple, J.D.; Hughes, M.J.; Huntington, J.; Zhu, Z. 2019. Current status of Landsat program, science, and applications. Remote Sensing of Environment, 225: 127-147. https://doi.org/10.1016/j.rse.2019.02.015
Yahaya, I.; Xu, R.; Zhou, J.; Jiang, S.; Su, B.; Huang, J.; Cheng, J.; Dong, Z.; Jiang, T. 2024. Projected patterns of land use in Africa under a warming climate. Scientific Reports, 14: 12315. https://doi.org/10.1038/s41598-024-61035-0
Zhu, Z. 2017. Change detection using Landsat time series: A review of frequencies, preprocessing, algorithms, and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 130: 370-384. https://doi.org/10.1016/j.isprsjprs.2017.06.013
Zhu, Z. & Woodcock, C.E. 2014. Continuous change detection and classification of land cover using all available Landsat data. Remote Sensing of Environment, 144: 152-171. https://doi.org/10.1016/j.rse.2014.01.011
Zhu, Z.; Zhang, J.; Yang, Z.; Aljaddani, A.H.; Cohen, W.B.; Qiu, S.; Zhou, C. 2020. Continuous monitoring of land disturbance based on Landsat time series. Remote Sensing of Environment, 238: 111116. https://doi.org/10.1016/j.rse.2019.03.009
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