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Estimation of spatial and temporal water requirements of grain amaranth using satellite,local and virtual weather stations datasets in Uganda

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International Journal of Agricultural and Biological Engineering 2016年第2期9卷 85-97页

作者： joseph kyagulanyi Isa Kabenge Noble Banadda John Muyonga Peter Mulamba Nicholas Kiggundu Department of Agricultural and Biosystems Engineering Makerere UniversityP.O.Box 7062KampalaUganda Department of Food Technology and Nutrition Makerere University P.O Box 7062 KampalaUganda

In this study,an integrated approach incorporating Remote Sensing(RS),Geographical Information System(GIS),local meteorological weather stations’data and NASA’s virtual meteorological stations’data were used to quantify Grain Amaranth(GA)water requirements in ***-Monieth method within CropWAT8 model and Surface Energy Balance Algorithm for Land(SEBAL)Model was used to quantify the *** Difference Vegetation Index(NDVI),daily spatial distribution of Evapotranspiration(ET),Land Surface Temperature(LST)and surface albedo were extracted from satellite *** ratio of effective rainfall(Pe)to Potential Evapotranspiration(PET)–(Pe/PET)and time series for NDVI were computed to determine the growth stage of GA in different *** GA water demand was the highest in Karamoja sub-region(467.5 mm/season)and the lowest in Tororo(174.1 mm/season).The growing season for GA in most areas of Uganda was from March to *** of evapotranspiration in Karamoja sub-region with SEBAL model corresponded to the NDVI extracted,especially for highly vegetated *** indicated that if GA was planted during the late September and early October in Karamoja sub-region,despite the decreasing moisture levels,the crop could have sufficient water supply during emergence to *** ability to utilize low available moisture levels makes GA a potential crop to bridge the gap(due to the elongated drought)for the food production cycle in Karamoja sub-region.

关键词： grain amaranth water requirement remote sensing SEBAL evapotranspiration Uganda

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