25Apr 2017


  • AGRHYMET Regional Centre, CILSS.
  • University of Li?ge (ULg).
  • Center for Agricultural Research for Development (CIRAD).
  • University of Niamey (UAM).
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This work is carried out at the AGRHYMET Regional Centre (ARC)-CILSS as part of the African Monitoring of Environment for Sustainable Development (AMESD) project. The analysis protocol has been improved under the Monitoring of Environment for Security in Africa (MESA) project. The MESA Project has been designed on the achievements of AMESD; its overall objective is to provide African countries with access to Earth Observation data for environmental monitoring and sustainable development. The specific objective of this study is to develop an operational analysis protocol for vegetation monitoring in general and especially for crops and pastures. Three vegetation indices were used: Vegetation Condition Index (VCI), Normalized Growth Index (NGI) and Standardized Normalized Difference Vegetation Index (SNDVI). The analysis of these drought indices is based on taking into account the agro-climatic characteristics of the Sahelian region, the comparison of the NGI profile (per administrative unit) from year X (in progress) to the maximum NGI profiles, minimum and average of the time series data (1998 to year x-1) and evidence convergence. Six years of application of the method and validation actions carried out concluded that it is possible to determine the zones at risk (ZAR) in order to anticipate food crises.

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[Issa Garba, Illa Salifou, Abdoul Hamid Sallah, Abdallah Samba, Ibra Toure, Yapi Yapo, Alio Agoumo, Salamatou Soumana, Amina Oumarou, Bernard Tychon And Bakary Djaby. (2017); MAPPING OF ZONES AT RISK (ZAR) IN WEST AFRICABY USING NGI, VCI AND SNDVI FROM THE E-STATION. Int. J. of Adv. Res. 5 (4). 1377-1386] (ISSN 2320-5407). www.journalijar.com



Article DOI: 10.21474/IJAR01/3953       DOI URL: http://dx.doi.org/10.21474/IJAR01/3953

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