WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets
Recent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne laser scanning (ALS) and photogrammetri...
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-7fa994aa79544ff5b54e48afc4e3bf282020-11-25T00:03:30ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-08-01XL-316316910.5194/isprsarchives-XL-3-163-2014WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data SetsA. Krooks0J. Kahkonen1L. Lehto2P. Latvala3M. Karjalainen4E. Honkavaara5Finnish Geodetic Institute, Department of Photogrammetry and Remote Sensing, Masala, FinlandFinnish Geodetic Institute, Department of Geoinformatics and Cartography, Masala, FinlandFinnish Geodetic Institute, Department of Geoinformatics and Cartography, Masala, FinlandFinnish Geodetic Institute, Department of Geoinformatics and Cartography, Masala, FinlandFinnish Geodetic Institute, Department of Photogrammetry and Remote Sensing, Masala, FinlandFinnish Geodetic Institute, Department of Photogrammetry and Remote Sensing, Masala, FinlandRecent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne laser scanning (ALS) and photogrammetric image data are processed, analyzed, finally visualised a through open service interfaces to produce user-driven analysis products from targeted areas. The concept is demonstrated in three environmental applications: assessment of forest storm damages, assessment of volumetric changes in open pit mine and 3D city model visualization. One of the main objectives was to study the usability and requirements of national level photogrammetric imagery in these applications. The results demonstrated that user driven 3D geospatial analyses were possible with the proposed approach and current technology, for instance, the landowner could assess the amount of fallen trees within his property borders after a storm easily using any web browser. On the other hand, our study indicated that there are still many uncertainties especially due to the insufficient standardization of photogrammetric products and processes and their quality indicators.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/163/2014/isprsarchives-XL-3-163-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Krooks J. Kahkonen L. Lehto P. Latvala M. Karjalainen E. Honkavaara |
spellingShingle |
A. Krooks J. Kahkonen L. Lehto P. Latvala M. Karjalainen E. Honkavaara WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
A. Krooks J. Kahkonen L. Lehto P. Latvala M. Karjalainen E. Honkavaara |
author_sort |
A. Krooks |
title |
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets |
title_short |
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets |
title_full |
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets |
title_fullStr |
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets |
title_full_unstemmed |
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets |
title_sort |
webgl visualisation of 3d environmental models based on finnish open geospatial data sets |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2014-08-01 |
description |
Recent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data
sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne
laser scanning (ALS) and photogrammetric image data are processed, analyzed, finally visualised a through open service interfaces
to produce user-driven analysis products from targeted areas. The concept is demonstrated in three environmental applications:
assessment of forest storm damages, assessment of volumetric changes in open pit mine and 3D city model visualization. One of the
main objectives was to study the usability and requirements of national level photogrammetric imagery in these applications. The
results demonstrated that user driven 3D geospatial analyses were possible with the proposed approach and current technology, for
instance, the landowner could assess the amount of fallen trees within his property borders after a storm easily using any web
browser. On the other hand, our study indicated that there are still many uncertainties especially due to the insufficient
standardization of photogrammetric products and processes and their quality indicators. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3/163/2014/isprsarchives-XL-3-163-2014.pdf |
work_keys_str_mv |
AT akrooks webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets AT jkahkonen webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets AT llehto webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets AT platvala webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets AT mkarjalainen webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets AT ehonkavaara webglvisualisationof3denvironmentalmodelsbasedonfinnishopengeospatialdatasets |
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1725433544296103936 |