Mapping and Characterization of the Cheffia Watershed Reservoir Lake Using Remote Sensing Data (Northeast of Algeria)

Boubaker Khallef, Miloud Sallaye, Mohammed Hamzaoui, Fares Djema

Abstract


This research focuses on the use of remote sensing tools and Geographic Information Systems (GIS) with the help of two software programs, ArcGIS 10.6 and ENVI 5.3, to map and analyze the Cheffia Dam Lake using the NDVI index. The methodology is based on the use of satellite images to identify and characterize various land cover classes, such as water, bare soil, and vegetation. The results reveal significant fluctuations in the lake reservoir area over the years, with an expansion observed between 1994 and 2004, followed by a gradual reduction until 2024. This dynamic is mainly explained by climatic factors, such as droughts and variations in precipitation, as well as anthropogenic factors, including increased water demand for human activities and agricultural practices. Monitoring and analyzing surface water in the study area provides crucial information for decision-makers. These data can help optimize water resource management, improve land-use planning, and make informed decisions regarding the use and allocation of water resources. Additionally, these tools allow for anticipating water scarcity risks and developing adaptation strategies aimed at preserving water resource availability in the face of growing environmental and human pressures.

Keywords: water, remote sensing, GIS, Cheffia Dam Lake, Algeria

© 2025 Serbian Geographical Society, Belgrade, Serbia.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Serbia.



Full Text:

PDF

References


Benblidia, M. (2011). L’efficience d’utilisation de l’eau et approche économique. Etude nationale, Algérie.

Bennabi, F., Hamel, L., Bouiadjra, E.B., & Ghomari, S. (2014). Ressources hydriques sous tension et enjeux de développement durable dans la wilaya de Sidi Bel Abbes (Algérie occidentale). Méditerranée, 118, 105–111. https://doi.org/10.4000/mediterranee.6330

Bensari, O. (2024). Impact du bassin versant de Bouna moussa sur la qualité de l’eau [Mémoire de projet de fin d’étude pour l’obtention du diplôme d’ingénieur d’état en hydraulique, École nationale polytechnique, Algérie].

Boumaraf, W. (2010). Cartographie et impact de la qualité des eaux du lac Oubeïra sur la relation sol-végétation (Parc National d’El Kala) [Mémoire de Magistère en Écologie Végétale, Université Badji Mokhtar – Annaba, Algérie].

Boursali, I., Baba Hamed, K., & Bouanani, A. (2025). Analyse de la variabilité climatique et ses impacts sur les ressources en eau dans le bassin versant de l'Oued Khemis, Algérie. VertigO. https://doi.org/10.4000/13hs5

Brun, J. (2004). Étude du potentiel des indices de végétation de l’imagerie MODIS pour l’observation de l’évolution intra- et inter-annuelle de la couverture du sol. Application à la région genevoise (zone urbaine et périurbaine). Certificat de spécialisation en géomatique, Université de Genève.

Cropin. (2021). NDVI and its Practical Applications in Agriculture. Cropin.

FAO. (2015). Forest and Landscape Restoration Mechanisms. FAO. https://www.fao.org/in-action/forest-landscape-restorationmechanism/en

Hamouda, S., & Tahar, A. (2012). Apport de l’analyse spatiale dans le suivi du couvert végétal du parc national d’El-Kala (Algérie). Revue des Sciences et de la Technologie, Synthèse, 25, 59–70.

Hatfield, J. L., Gitelson, A. A., Schepers, J. S., & Walthall, C. L. (2008). Application of spectral remote sensing for agronomic decisions. Agronomy Journal, 100(S3), 117–131. https://doi.org/10.2134/agronj2006.0370c

Holben, B. N. (1986). Characteristics of Maximum-Value Composite Images from Temporal AVHRR Data. International Journal of Remote Sensing, 7(11), 1417–1434. http://dx.doi.org/10.1080/01431168608948945

Hou, S., & Bouamrane, R. (2020). Étude qualitative des eaux du barrage Cheffia (n-e algérien) [Mémoire de Master en Hydraulique urbaine, Université de Badji Mokhtar, Annaba, Algérie].

Khallef, B., & Zennir, R. (2022). Mapping the risk of forest fires in the watershed of Oued Bougous (Northeast of Algeria). Lucrările Seminarului Geografic Dimitrie Cantemir, 50(1), 1–21. http://dx.doi.org/10.15551/lsgdc.v50i1.02

Khallef, B., & Zennir, R. (2023). Forest cover change detection using Normalized Difference Vegetation Index in the Oued Bouhamdane watershed, Algeria – A case study. Journal of Forest Science, 69(6), 254–265. https://doi.org/10.17221/192/2022-JFS

Khallef, B., Brahamia, K., & Oularbi, A. R. (2018). Study of the vulnerability of soil to water erosion by remote sensing and GIS: Case of El Kala National Park (Algeria). Journal of Biodiversity and Environmental Sciences (JBES), 12(6), 52–65.

Khallef, B., Brahamia, K., & Oularbi, A. R. (2021). Study of the dynamics of vegetation cover by satellite images: Case of El Kala National Park (Algeria). Ekológia (Bratislava), 40(3), 212–221. https://doi.org/10.2478/eko-2021-0023

Kramer, A. (2022). L’eau vue de l’espace - la télédétection pour une gestion durable de l’eau. Observatoire des tendances de la DDC sur l’eau.

Mohammed, T., & Quasem, A. (2018). Climate change and water resources in Algeria: Vulnerability, impact and adaptation strategy. Economic and Environmental Studies, 18(1), 411–429. https://doi.org/10.25167/ees.2018.45.2

Namous, R., Louamri, A. A., & Khallef, B. (2023). A study of vegetation covers dynamics using Landsat images: Case of the Beni Haroun watershed (Algeria). Geomatics, Landmanagement and Landscape, 4, 315–328. https://doi.org/10.15576/GLL/2023.4.315

Ould Sidi Mohamed, M. E. (2016). Evolution Spatiotemporelle des Lacs de la Région d’El-Kala (Nord-Est Algérien) [Mémoire de fin d’étude, Université Kasdi Merbah Ouargla, Algérie].

Oulmane, A. (2018). Gestion de l’eau d’irrigation en Algérie: d’une politique de l’offre vers une politique de gestion de la demande [Thèse de Doctorat, Ecole Nationale Supérieure Agronomique, Algérie].

Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J. M., Tucker, C. J., & Stenseth, N. C. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20(9), 503–510. https://doi.org/10.1016/j.tree.2005.05.011

Pimentel, D., & Burgess, M. (2013). Soil erosion threatens food production. Agriculture, 3(3), 443–463. https://doi.org/10.3390/agriculture3030443

Priya, R. S., & Vani, K. (2024). Vegetation change detection and recovery assessment based on post-fire satellite imagery using deep learning. Scientific Reports, 14, Article 12611. https://doi.org/10.1038/s41598-024-63047-2

Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1973). Monitoring vegetation systems in the Great Plains with ERTS. In Third Earth Resources Technology Satellite-1 Symposium (pp. 309–317). Washington, DC.

Taharchaouche, I. (2023). Detection of land use/land cover change and land surface temperature in the eastern part of Bantam City (North East Algeria) using remote sensing data and GIS. Journal of Geology, Geography and Geology, 32(3), 632–643. https://doi.org/10.15421/112356

Trabelsi, R., & Bellaoueur, R. (2021). Apport de la télédétection et des systèmes d'information géographique en hydraulique pour l'étude de risque d'inondation (la région d’El Tarf) [Mémoire de Master, Université Kasdi Merbah-Ouargla, Algérie].

Zennir, R., & Khallef, B. (2023). Forest fire area detection using Sentinel-2 data: Case of the Beni Salah national forest – Algeria. Journal of Forest Science, 69(1), 33–40. https://doi.org/10.17221/50/2022-JFS


Refbacks

  • There are currently no refbacks.