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Authors: Belgiu, M.; Advisor: -; Participants: - (2017) - Efficient methodologies for mapping croplands are an essential condition for the implementation of sustainable agricultural practices and for monitoring crops periodically. The increasing spatial and temporal resolution of globally available satellite images, such as those provided by Sentinel-2, creates new possibilities for generating accurate datasets on available crop types, in ready-to-use vector data format. Existing solutions dedicated to cropland mapping, based on high resolution remote sensing data, are mainly focused on pixel-based analysis of time series data. This paper evaluates how a time-weighted dynamic time warping (TWDTW) method that uses Sentinel-2 time series performs when applied to pixel-based and object-based classifications of various crop types in three diff...
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Authors: Ghaffarian, S.; Advisor: -; Participants: Kerle, N.; Filatova, T. (2018) - There was a 42% stunting prevalence. Prevalence of continued breastfeeding and exclusive breastfeeding were 92% and 50%, respectively. Most children (62%) fell into the low dietary diversity score group. The nutrient intake from complementary foods was below recommendations. The odds of stunting were higher in children >12 mo of age (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.08–1.29). Exclusive breastfeeding (OR, 0.22; 95% CI, 0.10–0.48) and deworming tablet use in the previous 6 mo (OR, 0.25; 95% CI, 0.07–0.80) decreased significantly the odds of stunting in children. Also, the body mass index of the caretaker (β = 0.08 kg/m2; 95% CI, 0.00–0.17) and dietary zinc intake (β = 1.89 mg/d; 95% CI, 0.29–3.49) were positively associated with the height-for-age z scores.
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Authors: Manfreda, S.; Advisor: -; Participants: McCabe, M. F.; Miller, P. E.; Lucas, R.; Madrigal, V. P. (2018) - In this context, Unmanned Aerial Systems (UAS) have considerable potential to radically improve environmental monitoring. UAS-mounted sensors offer an extraordinary opportunity to bridge the existing gap between field observations and traditional air- and space-borne remote sensing, by providing high spatial detail over relatively large areas in a cost-effective way and an entirely new capacity for enhanced temporal retrieval. As well as showcasing recent advances in the field, there is also a need to identify and understand the potential limitations of UAS technology. For these platforms to reach their monitoring potential, a wide spectrum of unresolved issues and application-specific challenges require focused community attention. Indeed, to leverage the full potential of UAS-base...
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Authors: Mohamed, E. S.; Advisor: -; Participants: Belal, Abdel-Aziz; Abu-hashim, Mohamed (2019) - The results revealed that the highest value of surface runoff was distinguished close to the urban area and ranges between 40 and 50 mm. In urban areas, the surfaces are paved and there are no infiltration of water. Consequently, the runoff water directly flows to the storm channels. Runoff values ranging between 30 and 40 mm occurred at the north of the study area. The sloping surface and the nature of the clay soil contributed to generate more runoff than do lowland areas.
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Authors: Farrag, A.E.A.; Advisor: -; Participants: Megahed, H.A.; Darwish, M.H. (2019) - Many wells were drilled and used to pump the groundwater in and south of the area, from which 15 wells that were used to feed Aswan city by drinking water were stopped since 2009. As result, the groundwater level rises and most of the wells of Kima company flooded. The groundwater quality deteriorated and some environmental changes in the surrounding area were detected. Monitoring and analysis of these changes are studied using remote sensing and GIS techniques. The results show an increase in both the surface water bodies (ponds) and urban areas.
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Authors: Rocha, A.; Advisor: -; Participants: Groen, T. A.; Skidmore, A. K.; Darvishzadeh, R.; Willemen, L. (2018) - This study assesses the impact of spatial autocorrelation on the generalisation of plant trait models predicted with hyperspectral data. Leaf Area Index (LAI) data generated at increasing levels of spatial dependency are used to simulate hyperspectral data using Radiative Transfer Models. Machine learning regressions to predict LAI at different levels of spatial dependency are then tuned (determining the optimum model complexity) using cross-validation as well as the NOIS method. The results show that cross-validated prediction accuracy tends to be overestimated when spatial structures present in the training data are fitted (or learned) by the model.
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Authors: Yousif, M.; Advisor: -; Participants: El-Aassar, A.H.M. (2018) - The obtained results indicate the existence of three main aquifers: Quaternary alluvial (salinity 1253 mg/l to 18,854 mg/l), Nubian Sandstone (salinity 311 mg/l to 14,388 mg/l), and fractured basement (salinity 320 mg/l to 19,375 mg/l). The results of speciation modeling showed that studied aquifers are supersaturated with gibbsite, goethite, hematite, magnetite, aragonite, calcite, dolomite, and alunite. Nubian aquifer specifically has homogeneity results due to the similarity of water-bearing and geology of watersheds (ferruginous sandstone and ironstone). Remote sensing data and digital elevation model analyses were used for generation of the thematic layers which is affecting the groundwater occurrences and quality such as geology, geomorphology, structural lineaments, slope, fl...
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Authors: Megahed, Hanaa A.; Advisor: -; Participants: El Bastawesy, Mohammed A. (2020) - Landsat 5 and Sentinel-2 satellite images were obtained shortly before and after flash flood events and were downloaded and analyzed to define the active channels, urban interference, storage areas, and the natural depressions response. The quantitative flash flood estimates include total GSMap meteorological data sets, parameters of rainfall depths from remote sensing data, active channel area from satellite images, and storage areas that flooded. In GIS, digital elevation model was used to estimate the hydrographic parameters: flow direction within the catchment, flow accumulation, time zone of the catchment, and estimating of the water volume in the largely inundated depressions.
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