Analysis of the Dynamics of Vegetation in the Sudan-Sahelian Zone: Case of the Moutourwa Agricultural Production Basin, Far-North Cameroon
Saliou Moussa *
Institut de Recherche Agricole pour le Développement (IRAD, CRRA-Maroua), BP : 33 Maroua, Cameroun.
Pa Aï Vivien Nenwala
Institut de Recherche Agricole pour le Développement (IRAD, CRRA-Maroua), BP : 33 Maroua, Cameroun.
Danwang Djaowe Bernard
Institut de Recherche Agricole pour le Développement (IRAD, CRRA-Maroua), BP : 33 Maroua, Cameroun.
Sali Bourou
Institut de Recherche Agricole pour le Développement (IRAD, CRRA-Maroua), BP : 33 Maroua, Cameroun.
EL Aboudi Ahmed
Faculté des Sciences (Université Mohamed V) et Centre Régional Africain des Sciences et Technologies de l’Espace (CRASTE-LF), Cameroun.
*Author to whom correspondence should be addressed.
Abstract
The Moutourwa area in the Far North region of Cameroon is facing a deterioration of its climatic conditions. In this part of the Sudano-Sahelian zone, the soils are fragile and agriculture is not very productive due to various droughts. The statistical analysis study of climatic variability based on satellitic data in the area aims to analyze the dynamics of vegetation. This involves studying the spatio-temporal dynamics of vegetation using vegetation indices. The approach adopted to carry out this study is based on the descriptive statistics of the MODIS NDVI data series from the period 2010 to 2020. The study also analyzes the VCI drought indices in this study area. It appears from these analyzes that the year 2012 has the high average and the year 2015, the lowest average of our study period with 0.51 and 0.274 respectively. The years 2010, 2011, 2013, 2014, 2017, 2018 and 2019 remained around an average of 0.3. The observation of drought indices such as the VCI examines the fluctuation of their values characteristic of the heterogeneity of the vegetation state.
Keywords: Climatic conditions, drought, NDVI MODIS, VCI, descriptive statistics
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References
Mbairamadji J. Use of wood energy in a fragile ecosystem (Far North Cameroon): Proposal for a sustainable management strategy. Master. Univ. Quebec, Montreal, Canada. 2000;151.
Madi A, Huub P, Babani S. Urban demand for wood energy and the need for rational management of natural resources : The case of Maroua in the Far North of Cameroon. 2003 ;9.
Merle C, Gautier D. Fuelwood collection in the villages of South Maroua (Cameroon): A model. World Map. 2003;69:13.
Verstraete MM, Pinty B. The potential contribution of satellite remote sensing to understanding dryland processes. Progress in Science, Vegetation. 1991; 12:59-72
Mounia Tahiri, Mustafa Hakdaoui, Anas Emran, Mohammed Achab, Hassan EL hadi, ABDELFATAH TAHIRI. Contributions of GIS and Remote Sensing to the Correlation Between NDVI and Rainfall NDVI and Rainfall for the Study of Climatic Variability in the Tahaddart Basin (Rif, Morocco). 2014; 258.
Mamane Barkawi Mansour Badamassi. Development of a new index to detect and monitor agricultural drought by remote sensing in West Africa: Case of the agricultural zone of Niger. 2020;53.
Holben B, Fraser RS. Red and near-infrared sensor response to off-nadiir viewing. International Journal of Remote Sensing. 2007;5(1):145-160.
Kogan FN. World Droughts in the New Millennium from AVHRR-based Vegetation Health Indices. EOS, Transactions, America N Geophysica L Unio N. 2002;8(4):3–7.
Owrangi MA, Adamowski J, Rahnemaei M, Mohammadzadeh A, Sha Rifan AR. Drought monitoring methodology based on AVHRR images and SPOT vegetation maps. Journal of Water Resource and Protection. 2011;3:325-334.
Charre J. Draw me a climate. What to think of the ombrothermal diagram. World Map. 1997;2.
Saha Frederic, Tchindjang Mesmin, Eloundou Messi Paul Basile, Tcheunga Seuntcheung Thierry Gaïtan, Manfo Donatien Arnaud, Voundi Eric Et Mbevo Fendoung Philippes. Hydro- rainfall deficits and implications on agricultural activity in the Sudano-Sahelian zone in Cameroon: Case of Maroua and Yagoua (1948-2013), Edition Connaissances et Savoirs. 2017; 91-104.
Kogan FN, Stark R, Gitelson A, Jargalsaikhan L, Dugrajav C, Tsooj S. Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. International Journal of Remote Sensing. 2004;25(14): 2889-2896.
Layelmam M. Calculation of drought indicators from NOAA/VHRR images. Research report. IAV, CRTS, CRASTE-LF; 2015.