International cooperation and technology transfer

Fras, Mojca Kosmatin

Bibliographic data

Monograph

Persistent identifier:: 856490555

Author:: Fras, Mojca Kosmatin

Title:: International cooperation and technology transfer

Sub title:: Ljubljana, Slovenia, February 2 - 5, 2000 : proceedings of the workshop

Scope:: VI, 163 Seiten

Year of publication:: 2000

Place of publication:: London

Publisher of the original:: RICS Books

Identifier (digital):: 856490555

Illustration:: Illustrationen, Diagramme

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: DATA INTEGRATION FOR THE DTM PRODUCTION. Tomaz Podobnikar Dr. Zoran Stancic Kristof Ostir

Document type:: Monograph

Structure type:: Chapter

139 Figure 8: Comparison of hillshaded DEMs: On left side is DEM, interpolated from contour lines only and on the right DTM 25 for the Alpine test region (2). 7. FURTHER PLANS Results of the case study with only few datasets - basically contour lines and DEM 100, show possibility for drastical improvement of old DEM 100 and also current (not yet completely finished) DEM 25. For the next stage special emphasis will be done to improvement of interpolation parameters and simultaneously add new available data with high accuracy. There are many data available in digital databases which haven’t been used, but they will be sources for modeling in the future on test regions: local DEMs available for Slovenia including DEM produced with SAR interferometry, register of the buildings, other geodetic points (cadastre, polygon, etc.), hydrology (streams and lakes) and more. The next will be data for improving morphological details and other possibly data for general condensing input data: photogremmetrically or otherwise captured characteristic data - points and lines for terrain details, densification (condensing) of the model with scattered data as it is laser altimetry at urban and other areas, interesting for potential users or with DEM produced with SAR interferometry. After testing the quality of output DTM 25, reference geodetic points will be also included in the model. Interpolation process will be improved by using different interpolation techniques with regard to relief morphology. For DTM surface generation it is necessary to produce a “DTM database” that must have the ability to be updated with every improved new data and enable to quickly produce the desired DTM / DEM (Rihtarsic and Fras, 1991). Such organization of data will lead to “dynamic DTM database” for DTM production and back to multiscale, “elastic grid” DEM production, suitable for GIS analyses. 8. CONCLUSION First, preliminary results, using integrated data approach in the case study are very promising. DTM /DEM with 25 m grid size was produced for selected regions in Slovenia with height accuracy of approx. 1 m for predominantly flat and urban areas, 4 m for the hilly areas and 10 m for the alpine areas. With condensing additional, different quality data, height accuracy could be for about 1/4 - 1/3 better than from case study and general grid of 20 m would be reasonable to cover whole area of Slovenia for the first next stage. With methods presented in the article we can relatively easy, cheaply and in short time produce the requested high quality DTM for all Slovenia. Acknowledgment Special thanks go to Prof. Dr. Karl Kraus and his team from Institute for Photogrammetry and Remote Sensing at Vienna University of Technology for advices and access to SCOP program package. We are much obliged to Surveying and Mapping Authority of the Republic of Slovenia for realizing the project to produce DEM 25 with SAR interferometry. References Ecker, R., 1999. Homogenisierung digitaler Geländmodelle unterschiedlicher Genauigkeit mittels linearer Prädiktion und robuster Schätzung. Austria, pp. 8. Heitzinger, D., Kager, H., 1998. High quality DTMs from contourlines by knowledge-based classification of problem regions. Proceedings of the International Symposium on "GIS - Between Visions and Applications", ISPRS Comm. 4, 32(4), Stuttgart, Germany, pp. 230-237. Kraus, K., 1998. Interpolation nach kleinsten Quadraten versus Krige-Schätzer. Österreichische Zeitschrift für Vermessung und Geoinformation, 98(1), pp 45-48. Martinoni, D., Bernhard, L., 1998. A Conceptual Framework for Reliable Digital Terrain Modelling. Proceedings 8th Symposium on Spatial Data Handling, Vancouver, Canada, pp. 737-750. Pfeifer, N. Extension for Laser Scanner Data Processing. Manual for the robust estimation and the consideration of slope values in SCOP.DTM. Technical University Vienna, Institute of photogrammetry and remote sensing, pp. 26. Podobnikar, T., 1999. Monte Carlo simulations in Slovenia. Modelling and visualisation of spatial data error. GIM International, 13(7), pp. 47-49. Rihtarsic, M., Fras, Z., 1991. Digitalni model reliefa. 1 del: teoreticne osnove in uporaba DMR. Univerza v Ljubljani, FAGG-KFK, pp. 143. Stanonik, B., 1995. Digitalni model reliefa Republike Slovenije. Pregled moznosti in zahtev. Geodetska uprava Republike Slovenije in Geoinformacijski center, Ljubljana pp. 15.

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