SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING

Water run-off modelling applied within urban areas requires an appropriate detailed surface model represented by a raster height grid. Accurate simulations at this scale level have to take into account small but important water barriers and flow channels given by the large-scale map definitions of b...

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Main Authors: E. Verbree, M. de Vries, B. Gorte, S. Oude Elberink, G. Karimlou
Format: Article
Language:English
Published: Copernicus Publications 2013-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W1/285/2013/isprsannals-II-2-W1-285-2013.pdf
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spelling doaj-89c85804fc654650acaf303f01720dd92020-11-24T21:44:35ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502013-09-01II-2/W128529010.5194/isprsannals-II-2-W1-285-2013SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLINGE. Verbree0M. de Vries1B. Gorte2S. Oude Elberink3G. Karimlou4Delft University of Technology, OTB Research, Faculty of Architecture and the Built Environment, the NetherlandsDelft University of Technology, OTB Research, Faculty of Architecture and the Built Environment, the NetherlandsDelft University of Technology, Faculty of Civil Engineering and Geosciences, the NetherlandsUniversity of Twente, Faculty of Geo-Information Science and Earth Observation, the NetherlandsHydrologic, Amersfoort, the NetherlandsWater run-off modelling applied within urban areas requires an appropriate detailed surface model represented by a raster height grid. Accurate simulations at this scale level have to take into account small but important water barriers and flow channels given by the large-scale map definitions of buildings, street infrastructure, and other terrain objects. Thus, these 3D features have to be rasterised such that each cell represents the height of the object class as good as possible given the cell size limitations. Small grid cells will result in realistic run-off modelling but with unacceptable computation times; larger grid cells with averaged height values will result in less realistic run-off modelling but fast computation times. This paper introduces a height grid generalisation approach in which the surface characteristics that most influence the water run-off flow are preserved. The first step is to create a detailed surface model (1:1.000), combining high-density laser data with a detailed topographic base map. The topographic map objects are triangulated to a set of TIN-objects by taking into account the semantics of the different map object classes. These TIN objects are then rasterised to two grids with a 0.5m cell-spacing: one grid for the object class labels and the other for the TIN-interpolated height values. The next step is to generalise both raster grids to a lower resolution using a procedure that considers the class label of each cell and that of its neighbours. The results of this approach are tested and validated by water run-off model runs for different cellspaced height grids at a pilot area in Amersfoort (the Netherlands). Two national datasets were used in this study: the large scale Topographic Base map (BGT, map scale 1:1.000), and the National height model of the Netherlands AHN2 (10 points per square meter on average). Comparison between the original AHN2 height grid and the semantically enriched and then generalised height grids shows that water barriers are better preserved with the new method. This research confirms the idea that topographical information, mainly the boundary locations and object classes, can enrich the height grid for this hydrological application.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W1/285/2013/isprsannals-II-2-W1-285-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. Verbree
M. de Vries
B. Gorte
S. Oude Elberink
G. Karimlou
spellingShingle E. Verbree
M. de Vries
B. Gorte
S. Oude Elberink
G. Karimlou
SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet E. Verbree
M. de Vries
B. Gorte
S. Oude Elberink
G. Karimlou
author_sort E. Verbree
title SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
title_short SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
title_full SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
title_fullStr SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
title_full_unstemmed SEMANTIC 3D CITY MODEL TO RASTER GENERALISATION FOR WATER RUN-OFF MODELLING
title_sort semantic 3d city model to raster generalisation for water run-off modelling
publisher Copernicus Publications
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 2194-9042
2194-9050
publishDate 2013-09-01
description Water run-off modelling applied within urban areas requires an appropriate detailed surface model represented by a raster height grid. Accurate simulations at this scale level have to take into account small but important water barriers and flow channels given by the large-scale map definitions of buildings, street infrastructure, and other terrain objects. Thus, these 3D features have to be rasterised such that each cell represents the height of the object class as good as possible given the cell size limitations. Small grid cells will result in realistic run-off modelling but with unacceptable computation times; larger grid cells with averaged height values will result in less realistic run-off modelling but fast computation times. This paper introduces a height grid generalisation approach in which the surface characteristics that most influence the water run-off flow are preserved. The first step is to create a detailed surface model (1:1.000), combining high-density laser data with a detailed topographic base map. The topographic map objects are triangulated to a set of TIN-objects by taking into account the semantics of the different map object classes. These TIN objects are then rasterised to two grids with a 0.5m cell-spacing: one grid for the object class labels and the other for the TIN-interpolated height values. The next step is to generalise both raster grids to a lower resolution using a procedure that considers the class label of each cell and that of its neighbours. The results of this approach are tested and validated by water run-off model runs for different cellspaced height grids at a pilot area in Amersfoort (the Netherlands). Two national datasets were used in this study: the large scale Topographic Base map (BGT, map scale 1:1.000), and the National height model of the Netherlands AHN2 (10 points per square meter on average). Comparison between the original AHN2 height grid and the semantically enriched and then generalised height grids shows that water barriers are better preserved with the new method. This research confirms the idea that topographical information, mainly the boundary locations and object classes, can enrich the height grid for this hydrological application.
url http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W1/285/2013/isprsannals-II-2-W1-285-2013.pdf
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