International cooperation and technology transfer

Fras, Mojca Kosmatin

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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:: GEOMORPHOLOGIC IMPROVEMENT OF DTM-s ESPECIALLY AS DERIVED FROM LASER SCANNER DATA. D. Gajski

Document type:: Monograph

Structure type:: Chapter

Performing the pit identification procedure on whole dataset one more time, the procedure detects some sporadic pits, mostly without significant impact on the DEM surface. These pits are present because of interpolation and rasterization process, and mostly have no significant depth. The final result after interpolation with pitpaths included as formlines is shown in picture below. Fig.8. The visualisation of the whole test area after pit removal process. 5. Conclusion and further perspectives: As we have seen, the water (low analysis can significantly improve the DEM in geomorphological sense. Statistical methods of preprocessing and interpolation are well suitable to filter out the points that do not lie on the terrain and to minimize random errors. Thus interpolated surface will pass very closely to original terrain, but if we expect that interpolated surface satisfies some geomorphometric constraints, they have to be included into interpolation. Pit processing procedure, shown above, is only a simple way to include geomorphometric constraints into interpolation. The results are promising, although the pit removal algorithm introduced here shows dificulties in areas where pits really exist and should remain included in DEM, too. This problem leads to be solved at the preprocessing phase where the clasification of pits should be done. This clasification should be performed according to the size of a pit and to average penetrating rate of laser beam. After clasification, the big pits should be masked out for further processing. Further, the drainage lines (rivers) detection, and including it into interpolation could significantly improve geomorphological consistency of DEM. How derived rivers can impact interpolation of DEM will be investigated . The pits identification and processing algorithms are realised by means of softvare MATRIX (developed by Dr. Wolfgang Rieger), and will be included into SCOP- XX framework as a module named HYDRO. At this stage this module does some more analysis about water summation, rivers and catchbasins identification, but is still being developed.

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