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International Institute for Geo-Information Science and Earth Observation (ITC) 2014

Drought trend assessment using multi - temporal satellite products and in - situ data for Amhara Region, Ethiopia

Engdaw, M.M. (Mastawesha Misganaw)

Titre : Drought trend assessment using multi - temporal satellite products and in - situ data for Amhara Region, Ethiopia.

Auteur : Engdaw, M.M. (Mastawesha Misganaw)

Etablissement de soutenance : University of Twente International Institute for Geo-Information Science and Earth Observation (ITC)

Grade : Master of Science in Geo-Information Science and Earth Observation 2014

Résumé
Drought has been causing serious damage to the socio-economic development of Ethiopia as a nation. Specifically for Amhara region where this study is conducted, remembering the most severe droughts happened in 1974 and 1984 is enough to know to what extent drought related studies are important. Long term monthly in-situ rainfall data is used to see the spatial and temporal distribution of rainfall over the region. The results showed that the east and north-eas tern part of the region receive less rainfall and are more drought prone. For some rain fall stations, both the in-situ and satellite derived the climatology over thirty years indicated that the rain fall pattern is bimodal (March to May and June to October) only for some parts of the region (mainly Combolcha and Debre Birhan) while other have single and relatively extended rainfall period. The first rainy season contributes insignificant to the agricultural production and the main agricultural season analysed is therefore the “Meher”, from June to October. Comparison and validation of satellite products is conducted and showed reasonable correlation for complex topography of Amhara region. This study also used dekadal resolution and different satellite products (FEWSNET RFE, FEWSNET RFE Climatology, TAMSAT RFE, MOD1 6 ET, MOD16 PET, eMODIS NDVI, TAMSAT climatology and FEWSNET PET) in assessing the drought. All the informations retrieved from satellite products consider land cover of the region. Regional Unmixed Mean (RUM) method of extraction of statistics is applied. Statistics are calculated fo r each indicator including actual, average, minimum, maximum and absolute difference average (anomalies) . Drought and non-drought dekades in the growing seasons are identified if two or more selected indicators converge to the same direction for extended period of time. Accordingly, the drought events occurred in growing seasons of 2005 and 2007 are relatively low compared to drought events occurred during most of other growing seasons. Based on the area coverage, agricultural yield and population size the results presented here focus into more detail on North Gonder, but the analysis was conducted over the whole Amhara region.

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Page publiée le 3 avril 2018, mise à jour le 13 novembre 2019