Tsige, Demeke Mahteme2019-08-292020-01-072019-08-292020-01-071999Tsige, D. M. (1999) Real - time vegetation monitoring using remote sensing for food security assessment in the Rufiji basin, Tanzania, Masters’ dissertation, University of Dar es Salaam. Available at (http://41.86.178.3/internetserver3.1.2/detail.aspx)http://localhost:8080/xmlui/handle/123456789/151Available in print formIn the idea of combating famine occurrences in the Rufiji basin determination of end of season crop yield by monitoring vegetation cover of the area using NOAA-AVHRR (Advanced Very High-Resolution Radiometer) images was the main objective of the study. Apart from this investigation of the relationship between rainfall and NDVI (Normalized Difference Vegetation Index) by applying the concept of systems type models and the linear trend of the vegetation cover is also seen. Since it was not possible to get good correlation for a number of reasons between agricultural yield and vegetation cover of the area the first objective could not be fulfilled. In the application of system type models of the 26 rainfall stations used 3 models compared and on 14 stations the linear perturbation model has expressed the rainfall-NDVI relationship with better accuracy. By using the above result in order to have a general spatial outlook basin wise the region was classified in to 100 blocks. Interpolating rainfall and averaging NDVI data the LPM was applied. Good results were obtained. The vegetation trend of the Rufiji basin is not either degrading or improving according to the linear trend analysis of this study.enMeteorologyAgricultureTanzaniaThesis