Remote Sensing Based Agricultural Drought Assessment A Case Study In Sire Woreda Arsi Ethiopia

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Drought is one of the major limiting environmental factors for agricultural crop production.rnClimate change and climate variability will result in agricultural droughts and associated soilrnwater deficiency in turn, can lead to crop failure and ultimately threaten food security. Sirernworeda is an Agricultural area where the agricultural sector is highly dependent on climaternconditions. Erratic rains and erosion are problematic and wind erosion became a major problemrnin the area. It is affected by the drought and also suffers from high soil degradation, which hasrnincreased risks of desertification in year 2009. Consequently, this study was conducted in thisrnworeda with the objective of assessing agricultural drought using remote sensing based indices.rnDrought Severity Index (DSI), Vegetation Condition Index (VCI) and Standard precipitationrnindex (SPI) were used in this study to assess and examine spatio-temporal variation of seasonalrnagricultural drought patterns and severity. The results clearly indicate that the temporal andrnspatial characteristics of Sire woreda can be detected and mapped by the indices. Agriculturalrnyield data was used to validate the strength of indices in explaining the impact of agriculturalrndrought. The validation result shows that, NDVI based indices could be the best indices forrnassessing and monitoring the drought occurrences, preparing drought maps on a local level andrnfor studying the spatial pattern of drought occurrences in the study area. The result revealed thatrnDSI, VCI and SPI indices expresses 96, 85 and 51 percent of variability of the agricultural yieldrnrespectively. Thus, DSI is more sensitive towards the assessment of agricultural drought whichrnaffects the agricultural production. Resultant drought map obtained by integrating DSI, VCI andrnSPI indicates the area under study faces agricultural drought in different magnitude and arealrncoverage. It was evident from the study that, the lowland areas in north western parts of Sirernworeda are more prone to severe agricultural drought while highland areas of southern partsrnfaces slight agricultural drought. The research shows motivating results that can be used in earlyrnassessing agricultural drought in order to prepare for corrective measures taken timely tornminimize the reduction in agricultural production in drought prone areas.

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Remote Sensing Based Agricultural Drought Assessment A Case Study In Sire Woreda Arsi Ethiopia

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