Browsing by Subject "Geographical Information Systems"

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    Open Access
    Effectiveness measures for geographical information systems (GIS)
    (1998) Tanner, Christopher Barrat; Barry, Michael B
    Geographical Information Systems (GIS) often do not meet the expectations of users and management, raising questions and doubts as to their overall success and effectiveness. To date the majority of GIS research has focused on technical issues, and management research has approached GIS effectiveness from a purely cost benefit perspective. This study adopts a holistic, multi-perspective approach to the issue of GIS effectiveness, identifying measures of effectiveness related to the fields of Information Systems (IS), Management Information Systems (MIS) and GIS. It applies these measures using the case study methodology in a small South African local authority, the Ceres Municipality.
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    Open Access
    Riverine flooding using GIS and remote sensing
    (2020) Dambe, Natalia; Smit, Julian
    Floods are caused by extreme meteorological and hydrological changes that are influenced directly or indirectly by human activities within the environment. The flood trends show that floods will reoccur and shall continue to affect the livelihoods, property, agriculture and the surrounding environment. This research has analyzed the riverine flood by integrating remote sensing, Geographical Information Systems (GIS), and hydraulic and/or hydrological modeling, to develop informed flood mapping for flood risk management. The application of Hydrological Engineering Center River Analysis System (HEC RAS) and HEC HMS models, developed by the USA Hydrologic Engineering Center of the Army Corps of Engineers in a data-poor environment of a developing country were successful, as a flood modeling tools in early warning systems and land use planning. The methodology involved data collection, preparation, and model simulation using 30m Shuttle Radar Topographic Mission (SRTM) Digital Elevation Model (DEM) as a critical data input of HEC RAS model. The findings showed that modeling using HEC-RAS and HEC HMS models in a data-poor environment requires intensive data enhancements and adjustments; multiple utilization of open sources data; carrying out multiple model computation iterations and calibration; multiple field observation, which may be constrained with time and resources to get reasonable output.