African Journal of
Environmental Science and Technology

  • Abbreviation: Afr. J. Environ. Sci. Technol.
  • Language: English
  • ISSN: 1996-0786
  • DOI: 10.5897/AJEST
  • Start Year: 2007
  • Published Articles: 1128

Full Length Research Paper

Drought risk assessment in pasture arid Morocco through remote sensing

H. Mahyou1*, M. Karrou2, J. Mimouni1, R. Mrabet3 and M. El Mourid4
  1Centre Régional de la Recherche Agronomique. Oujda. INRA Maroc B.P 428, Morocco. 2ICARDA. P.O. Box 5466, Aleppo, Syrian Arab Republic. 3Regional Agricultural Research Center of Tangier, 78 Boulevard Sidi Mohamed Ben Abdellah, Tangier 90010 Morocco. 4ICARDA, No. 1, Rue des Oliviers El Menzeh V, 2037 B.P. 435, El-Menzah 1, 1004 Tunis, Tunisia
Email: [email protected]

  •  Accepted: 18 October 2010
  •  Published: 20 December 2010

Abstract

 

During the last three decades, Morocco has experienced several stern and extended episodes of drought that severely affected pasture production. To cope with this phenomenon, the policy makers have put emphasis on a reactive short term management approach rather than on pro-active risk-based management measures. The purpose of this study is the assessment of drought by remote sensing, which is an important step in the design and implementation of drought management plan. To reach this objective we used bi-weekly TERRA Moderate Resolution Imaging Spectroradiometer (MODIS 250 m) data in arid pasture of Morocco. A preliminary mapping using Landsat TM5 of major land cover types was carried out to extract the pasture area. A comparison of annual and seasonal Normalised Difference Vegetation Indices (NDVI), Vegetation Condition Index (VCI) and rainfall during the time period of 2000 - 2008 were carried out. Results showed that stronger relationship of NDVI with previous seasonal rainfall as compared to VCI indicating that NDVI variation is a good indicator of vegetation changes and consequently can give a better idea on drought conditions in the study area.

 

Key words: Drought monitoring, pasture area, vegetation indices