Scholarly record
AUTOMATIC GENERATION OF DIGITAL ELEVATION MODELS USING PYTHON SCRIPTS
Abstract
The ArcGIS software from ESRI contains tools for interpolation of raster surfaces from point data. There are four classical interp olation methods: IDW, spline with tension, regularized spline, and kriging in the “3D analysis” toolbox in the “Interpolation method” toolset in the ArcCatalog application. It is possible to set different parameter values for each interpolation method in Ar cGIS. These parameter settings influence the output digital elevation models. The research team in the Department of Geoinformatics, Palacký University in Olomouc, needed test datasets containing various DEMs for statistical evaluation. The aim of this research was to find suitable interpolation methods and combinations of parameters for various types of georelief using the widely accessible interpolation methods in ArcGIS. A new application called “DEM_Testing” fo r automatic creation of various digital elevation models was created in the Python language. The application consists of two Python scripts. The first script automati cally creates DEMs, and the second creates raster files with morphometric characteristic s for all previously created test DEMs. These scripts have proven to be very helpfu l in the stage of creating test data. The purpose, functionality, structure, and use of these scripts are presented in this article.
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References6
Dobesova Z. & Valent T. Program Extension for Diagram Maps. Geodesy and Cartography, 37(01), Taylor & Francis, 2011, pp. 22 - 28. ISSN: 2029-7009 DOI: 10.3846/13921541.2011.558330
Pecnik S. , Mongus D., Zalik B. System for digital elevation model generation from LIDAR data, 10th Internati onal Multidisciplinary Scientific Geoconference: SGEM 2010, Bulgaria, Vol I: pp 957-963
Kadlcikova J. &Tucek P. Evaluation a nd setting of parameters in interpolating methods by modeling of different types of georelief. In: Proceedings of Symposium GIS Ostrava 2008, VSB-TU Ostrava, 8 p. ISBN: 987-80-254-1340-1
Johnston W. M. &Hanna J. R. P. & Millar, R.J. Advances in dataflow programming languages. ACM Computing Surveys 36 (1) 1–34. 2004, DOI: 10.1145/1013208.1013209
ESRI, Geoprocessor Programming Model ArcGIS 9.3 (http://webhelp.esri.com/arcgisdesktop/9.3/pdf/Geoprocessor_93.pdf) 2009 [accessed 19 April 2010]
ESRI, ArcGIS Desktop Help 9.3 2009 (http://webhelp.esri.com/arcgisdesktop/9.3/) [accessed 19 April 2010]
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