DOI: https://doi.org/10.14710/geoplanning.8.2.115-126

Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery

*Dramane Issiako  -  - Laboratory of Cartography (LaCarto), University of Abomey-Calavi (UAC), Cotonou, Benin, Benin
Ousséni Arouna  -  - Laboratory of Cartography (LaCarto), University of Abomey-Calavi (UAC), Cotonou, Benin, Benin
Karimou Soufiyanou  -  Laboratory of Cartography (LaCarto), University of Abomey-Calavi (UAC), Cotonou, Benin, Benin
Ismaila Toko Imorou  -  Laboratory of Cartography (LaCarto), University of Abomey-Calavi (UAC), Cotonou, Benin
Brice Tente  -  Laboratory of Biogeography and Environmental Expertise (LaBEE), University of Abomey-Calavi, Benin, Benin

Citation Format:
Abstract

The dynamics of land cover and land use in the classified forest of the upper Alibori (FCAS) in relation to the disturbance of agro-pastoral activities is a major issue in the rational management of forest resources. The objective of this research is to simulate the evolutionary trend of land cover and land use in the FCAS by 2069 based on satellite images. Landsat images from 2009, 2014 and 2019 obtained from the earthexplorer-usgs archive were used. The methods used are diachronic mapping and spatial forecasting based on senarii. The MOLUSCE module available under QGIS remote sensing 2.18.2 is used to simulate the future evolution of land cover and land use in the FCAS. The land cover and use in the year 2069 is simulated using cellular automata based on the scenarios. The results show that natural land cover units have decreased while anthropogenic formations have increased between 2009 and 2014 and between 2014 and 2019. Under the "absence multi-criteria zoning (MZM)" scenario over a 50-year interval, land cover and use will be dominated by crop-fallow mosaics (88%). On the other hand, the scenario "implementation of a multicriteria zoning (MZE)", was issued with the aim of reversing the regressive trend of vegetation types by making a rational and sustainable management of resources.

Fulltext View|Download

Article Metrics:

Article Info
Section: Original Research
Language : EN
Recent articles
Prospective Mapping of Land Cover and Land Use in The Classified Forest of The Upper Alibori Based on Satellite Imagery Monitoring Dynamics of Vegetation Cover with the Integration of OBIA and Random Forest Classifier Using Sentinel-2 Multitemporal Satellite Imagery Development of Desertification Indicators for Desertification Monitoring from Landsat Images Using Python Programming More recent articles
Most cited articles
PEMANFAATAN CITRA SATELIT UNTUK PENENTUAN LAHAN KRITIS MANGROVE DI KECAMATAN TUGU, KOTA SEMARANG MONITORING AND PREDICTING LAND USE-LAND COVER (LULC) CHANGES WITHIN AND AROUND KRAU WILDLIFE RESERVE (KWR) PROTECTED AREA IN MALAYSIA USING MULTI-TEMPORAL LANDSAT DATA SATELLITE-DERIVED BATHYMETRY USING RANDOM FOREST ALGORITHM AND WORLDVIEW-2 IMAGERY RELATIONSHIP BETWEEN URBANIZATION AND DENGUE HAEMORRHAGIC FEVER INCIDENCE IN SEMARANG CITY LAND PRICE MAPPING OF JABODETABEK, INDONESIA More cited articles

  1. Akindélé, G. (2000). Possibilités d’aménagement durable de la Forêt Classée de l’Alibori Supérieur: structure et dynamique des principaux groupements végétaux et périodicité d’exploitation. Ecole Polytechnique d’Abomey-Calavi, Université d’Abomey-Calavi, Bénin.

  2. FAO. (2015). Evaluation des ressources forestières mondiales : rapport national du Bénin.

  3. FAO et PNUE. (2020). La situation des forêts du monde 2020. Forêts, biodiversité et activité humaine. [https://doi.org/https:/doi.org/10.4060/ca8642fr">Crossref]

  4. Gbedahi, O. L. C., Biaou, S. S. H., Mama, A., Gouwakinnou, G. N., & Yorou, N. S. (2019). Dynamique du couvert végétal à Bassila au nord Bénin pendant et après la mise en œuvre d’un projet d’aménagement forestier. International Journal of Biological and Chemical Sciences, 13(1), 311–324.

  5. Hakim, A. M. Y., Baja, S., Rampisela, D. A., & Arif, S. (2019). Spatial dynamic prediction of landuse/landcover change (case study: tamalanrea sub-district, makassar city). IOP Conference Series: Earth and Environmental Science, 280(1), 12023.

  6. Houet, T. (2015). Usages des modèles spatiaux pour la prospective. Revue Internationale de Géomatique, 25(1), 123–143.

  7. Issiako, D., & Arouna, O. (2018). Dynamique de l’occupation des terres avant et après l’élaboration du plan d’aménagement participatif de la forêt classée de l’Alibori Supérieur au Nord-Benin. Actes de La Conférence Scientifique Internationale OSFACO : Images Satellitaires Pour Un Meilleur Aménagement Des Territoires et Une Gestion Durable de La Biodiversité, 193–2010.

  8. Mama, A., Djaouga, M., Mazo, I., & Abiala, S. (2020). Cartographie De La Dynamique Spatio-Temporel De L’occupation Des Terres Dans L’arrondissement D’ifangni Au Sud-Benin. Annales De La Fashs, 1, 111–125.

  9. Mienmany, B. (2018). Analysis land use and land cover changes and the driving forces: A case study in Kaysone Phomvihan District, Laos. University of Porto, Porto.

  10. Mirici, M. E., Berberoglu, S., Akin, A., & Satir, O. (2018). Land use/cover change modelling in a mediterranean rural landscape using multi-layer perceptron and markov chain (mlp-mc). Appl. Ecol. Environ. Res, 16, 467–486.

  11. Monier, A. (2010). Analyse des dynamiques d’occupation du sol de la vallée du Vicdessos (Pyrénées ariégeoises) entre 1953 et 1983. 39.

  12. Moumouni, Y. I., Imorou, I. T., & Moussa, A. D. (2019). Caractérisation de la Dégradation à Travers la Diversité Floristique et la Structure de la Végétation dans le Bassin Moyen de la Sota au Nord-Bénin. International Journal of Progressive Sciences and Technologies, 18(1), 53–70.

  13. Munoz, A., Bock, J., Monnet, J.-M., Renaud, J. P., Jolly, A., & Riond, C. (2015). Évaluation par validation indépendante des prédictions des paramètres forestiers réalisées à partir de données LiDAR aéroporté. Revue Française de Photogrammétrie et de Télédétection, 211, 81–92.

  14. Olouloi, J., Mama, V. J., & Agbo, F. B. (2006). Modélisation de la dynamique de l’occupation des terres dans le Département des Collines au Bénin. Télédétection, 6(4), 305–323.

  15. Paegelow, M., Villa, N., Cornez, L., Ferraty, F., Ferré, L., & Sarda, P. (2004). Modélisations prospectives de l’occupation du sol. Le cas d’une montagne méditerranéenne. Cybergeo: European Journal of Geography.

  16. Rodriguez-Galiano, V. F., Ghimire, B., Rogan, J., Chica-Olmo, M., & Rigol-Sanchez, J. P. (2012). An assessment of the effectiveness of a random forest classifier for land-cover classification. ISPRS Journal of Photogrammetry and Remote Sensing, 67, 93–104.

  17. Samie, A., Deng, X., Jia, S., & Chen, D. (2017). Scenario-based simulation on dynamics of land-use-land-cover change in Punjab Province, Pakistan. Sustainability, 9(8), 1285.

  18. Seidou, A. A., Agbayigbo, A.-A., Traore, I. A., Houinato, M., & others. (2017). Spatio-temporal dynamics of natural rangelands exploited by transhumance cattle herds in the Classified Forest of Upper Alibori, northern Benin. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 33(1), 111–123.

  19. Seko, S. S. M. O., Ogouwale, E., Tente, B., & others. (2018). Modeling of Environmental Dynamics Using the SpaCelle Software in the Department of Alibori in Benin (West Africa). American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 43(1), 211–226.

  20. Shao, Z., Zhang, Y., Zhang, L., Song, Y., & Peng, M. (2016). Combining spectral and texture features using random forest algorithm: Extracting impervious surface area in Wuhan. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 351–358.

  21. Sinsin, B., Kampmann, D., Thiombiano, A., & Konaté, S. (2010). Atlas de la Biodiversité de l’Afrique de l’Ouest. Cotonou & Frankfurt/Main, 1.

  22. Subiyanto, S., & Suprayogi, A. (2019). Modeling And Spatial Analysis Of Change Settlement And Fair Market Land Price Using Markov Chain Model In Banyumanik District. KnE Engineering, 278–290.

  23. Thierry, A., Martin, P., Ismaila, T. I., & Brice, T. (2018). Modélisation des changements d’occupation des terres en région soudanienne au nord-ouest du Bénin. European Scientific Journal, ESJ, 14(12), 248.

  24. Toko Mouhamadou, I. (2014). Facteurs de la fragmentation des écosystèmes forestiers: cas des {^i}lots de forêts denses séches de la forêt classée des Monts Kouffé et de sa périphérie au Bénin. Thèse de Doctorat, Université d’Abomey-Calavi, Bénin.

  25. Zakari, S., Imorou, I. T., Thomas, O. A. B., Djaouga, M., & Arouna, O. (2018). Application De La Télédétection Et Du Sig Au Suivi Des Formations Végétales De La Forêt Classée Des Trois Rivières Au Nord-Est Du Bénin. European Scientific Journal, ESJ, 14(15), 450. [https://doi.org/10.19044/esj.2018.v14n15p450">Crossref]


Last update:

  1. Prediction of landuse/landcover using CA-ANN approach and its association with river-bank erosion on a stretch of Bhagirathi River of Lower Ganga Plain

    Abhijit Paul, Manjari Bhattacharji. GeoJournal, 88 (3), 2022. doi: 10.1007/s10708-022-10814-1

  2. Industrial Development-Induced Gentrification

    Imam Buchori, Abdurrahman Zaki, Pangi Pang, Anang Wahyu Sejati, Yudi Basuki, Angrenggani Pramitasari. International Review for Spatial Planning and Sustainable Development, 11 (1), 2023. doi: 10.14246/irspsd.11.1_276

  3. Soybean (Glycine max) Cropland Suitability Analysis in Subtropical Desert Climate through GIS-Based Multicriteria Analysis and Sentinel-2 Multispectral Imaging

    Noman Ahmad, Fazila Younas, Hamaad Raza Ahmad, Muhammad Sarfraz, Muhammad Ashar Ayub, Muhammad Aamer Maqsood, Fahd Rasul, Muhammad Fahad Sardar, Tariq Mehmood, Jamaan S. Ajarem, Saleh n. Maoda, Xiang Li, Zhaojie Cui. Land, 12 (11), 2023. doi: 10.3390/land12112034

  4. A comprehensive analysis and future projection of land use and land cover dynamics in a fast-growing city: A case study of Sekondi-Takoradi metropolis, Ghana

    Ernest Biney, Eric Kwabena Forkuo, Michael Poku-Boansi, Yaw Mensah Asare, Kwame O. Hackman, Daniel Buston Yankey, Albert Elikplim Agbenorhevi, Ernestina Annan. Scientific African, 24 , 2024. doi: 10.1016/j.sciaf.2024.e02207

  5. The spatial analysis of urbanization dynamic impacts in a 50-year flood frequency in Java, Indonesia

    Anang Wahyu Sejati, Imam Buchori, Nattaya Mlatti Lakshita, I. G. Andika Wiratmaja, Desyta Ulfiana. Natural Hazards, 120 (3), 2024. doi: 10.1007/s11069-023-06298-y

Last update: 2024-11-21 13:02:57

No citation recorded.