CLUES: A web-based land use expert system for the Western Cape

Niekerk, Adriaan van

doi:10.1109/igarss.2009.5418291

Cited by 5 publications

(5 citation statements)

References 95 publications

(103 reference statements)

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“…The SRTM90 DEM was completed in 2000 and provides the first medium-resolution DEM data at near-global scale (Farr and Kobrick, 2001;Li and Wong, 2010). The SRTM90 DEM has an absolute vertical error of less than 16 m and an absolute horizontal accuracy of 20 m (Farr, 2000;Mulder et al, 2011;Van Niekerk, 2008). According to the Consultative Group on International Agricultural Research Consortium for Spatial Information (CGIAR-CSI, 2011), the SRTM DEM data have been processed to fill data voids and can be used by a wide range of potential users.…”

Section: Demsmentioning

confidence: 99%

Assessing the influence of DEM source on derived streamline and catchment boundary accuracy

Mashimbye

Clercq

Niekerk

2019

WSA

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Accurate DEM-derived streamlines and catchment boundaries are essential for hydrological modelling. Due to the popularity of hydrological parameters derived mainly from free DEMs, it is essential to investigate the accuracy of these parameters. This study compared the spatial accuracy of streamlines and catchment boundaries derived from available digital elevation models in South Africa. Two versions of Stellenbosch University DEMs (SUDEM5 and DEMSA2), the second version of the 30 m advanced spaceborne thermal emission and reflection radiometer global digital elevation model (ASTER GDEM2), the 30 and 90 m shuttle radar topography mission (SRTM30 and SRTM90 DEM), and the 90 m Water Research Commission DEM (WRC DEM) were considered. As a reference, a 1 m GEOEYE DEM was generated from GeoEye stereo images. Catchment boundaries and streamlines were extracted from the DEMs using the Arc Hydro module. A reference catchment boundary was generated from the GEOEYE DEM and verified during field visits. Reference streamlines were digitised at a scale of 1:10 000 from the 1 m orthorectified GeoEye images. Visual inspection, as well as quantitative measures such as correctness index, mean absolute error, root mean squares error and figure of merit index were used to validate the results. The study affirmed that high resolution (<30 m) DEMs produce more accurate parameters and that DEM source and resampling techniques also play a role. However, if high resolution DEMs are not available, the 30 m SRTM DEM is recommended as its vertical accuracy was relatively high and the quality of the streamlines and catchment boundary was good. In addition, it was found that the novel Euclidean distance-based MAE and RMSE proposed in this study to compare reference and DEM-extracted raster datasets of different resolutions is a more reliable indicator of geometrical accuracy than the correctness and figure of merit indices.

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Section: Demsmentioning

confidence: 99%

Assessing the influence of DEM source on derived streamline and catchment boundary accuracy

Mashimbye

Clercq

Niekerk

2019

WSA

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“…This web mapping service (WMS) can improve productivity and well support decision making process but there are some limitations of functionality of web mapping such as spatial analysis which requires the development of spatial decision support system (SDSS) [9]. In order to develop the expert system for this prototype system, the main important components which are a knowledge base and an inference engine were originated.…”

Section: System Designmentioning

confidence: 99%

Developing the GIS-Expert System for Investigating Land Use Designations

Limsupreeyarat¹,

Kaewkeaw²,

Charnwasununth³

2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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In order to get the building construction permit, the building owners who intend to construct or modify their buildings must submit documents to the local government officers for approval. Typically, the government officers will review the submitted documents and check city planning and land uses designations in accordance with laws and regulations of each area. This work is burdensome and takes a long time so as to check documents. Moreover, it requires the officers who have enough expertise and comprehend in legislation for the considered building and area information. In case of the officers do not consider all associated regulations or conditions such as width of road in front of the proposed construction area or restricted areas, it will lead to incorrect results of land use and construction approval. Then, the owners of building and land will be affected by such mistakes. Therefore, the research aims to develop the prototype expert system which can support the local government officers and land owners for checking the land uses designations before submitting the building construction permit. This prototype system was integrated laws and regulations with GIS database, Google Map, for retrieving, analyzing, and providing the results via Internet Web Browser. The selected area is Pattaya city in Thailand because it is the one of the most famous cities which has a high level of growth rate of land development. The proposed system can conveniently and efficiently provide the accurate land use information to officers, investors, and also inhabitants.

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“…These foci have shifted little since 2004 so that locating suitable land for various types of land use analysis and management, 14 especially in selecting suitable sites for general development uses, 15,16 specifically housing 17 in urban planning and crop types 18 in rural planning, still dominate. Interest has emerged in 'cyberplanning', 19 the efficient location of recreational and general 8 nature-based 20 and ecotourism 21 opportunities, activities and facilities like trails.…”

Section: Recent Applications Of Mce In Gismentioning

confidence: 99%