Production of high-resolution digital terrain models in mountain regions to support risk assessment
Demand for high-accuracy digital terrain models (DTMs) in the Alpine region has been steadily increasing in recent years in valleys as well as high mountains. In the former, the determination of the geo-mechanical parameters of rock masses is the main objective; global warming, which causes the retr...
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ftdoajarticles:oai:doaj.org/article:75f367307291460ca5f314c1ef235f6f 2023-05-15T17:57:49+02:00 Production of high-resolution digital terrain models in mountain regions to support risk assessment Gianfranco Forlani Riccardo Roncella Fabrizio Diotri 2015-07-01T00:00:00Z https://doi.org/10.1080/19475705.2013.862746 https://doaj.org/article/75f367307291460ca5f314c1ef235f6f EN eng Taylor & Francis Group http://dx.doi.org/10.1080/19475705.2013.862746 https://doaj.org/toc/1947-5705 https://doaj.org/toc/1947-5713 1947-5705 1947-5713 doi:10.1080/19475705.2013.862746 https://doaj.org/article/75f367307291460ca5f314c1ef235f6f Geomatics, Natural Hazards & Risk, Vol 6, Iss 5-7, Pp 379-397 (2015) Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 article 2015 ftdoajarticles https://doi.org/10.1080/19475705.2013.862746 2022-12-30T22:03:30Z Demand for high-accuracy digital terrain models (DTMs) in the Alpine region has been steadily increasing in recent years in valleys as well as high mountains. In the former, the determination of the geo-mechanical parameters of rock masses is the main objective; global warming, which causes the retreat of glaciers and the reduction of permafrost, is the main drive of the latter. The consequence is the instability of rock masses in high mountains: new cost-effective monitoring techniques are required to deal with the peculiar characteristics of such environment, delivering results at short notice. After discussing the design and execution of photogrammetric surveys in such areas, with particular reference to block orientation and block control, the paper describes the production of DTMs of rock faces and glacier fronts with light instrumentation and data acquisition techniques, allowing highly automated data processing. To this aim, the PhotoGPS technique and structure from motion algorithms are used to speed up the orientation process, while dense matching area-based correlation techniques are used to generate the DTMs. Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles Geomatics, Natural Hazards and Risk 6 5-7 379 397 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 |
spellingShingle |
Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 Gianfranco Forlani Riccardo Roncella Fabrizio Diotri Production of high-resolution digital terrain models in mountain regions to support risk assessment |
topic_facet |
Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 |
description |
Demand for high-accuracy digital terrain models (DTMs) in the Alpine region has been steadily increasing in recent years in valleys as well as high mountains. In the former, the determination of the geo-mechanical parameters of rock masses is the main objective; global warming, which causes the retreat of glaciers and the reduction of permafrost, is the main drive of the latter. The consequence is the instability of rock masses in high mountains: new cost-effective monitoring techniques are required to deal with the peculiar characteristics of such environment, delivering results at short notice. After discussing the design and execution of photogrammetric surveys in such areas, with particular reference to block orientation and block control, the paper describes the production of DTMs of rock faces and glacier fronts with light instrumentation and data acquisition techniques, allowing highly automated data processing. To this aim, the PhotoGPS technique and structure from motion algorithms are used to speed up the orientation process, while dense matching area-based correlation techniques are used to generate the DTMs. |
format |
Article in Journal/Newspaper |
author |
Gianfranco Forlani Riccardo Roncella Fabrizio Diotri |
author_facet |
Gianfranco Forlani Riccardo Roncella Fabrizio Diotri |
author_sort |
Gianfranco Forlani |
title |
Production of high-resolution digital terrain models in mountain regions to support risk assessment |
title_short |
Production of high-resolution digital terrain models in mountain regions to support risk assessment |
title_full |
Production of high-resolution digital terrain models in mountain regions to support risk assessment |
title_fullStr |
Production of high-resolution digital terrain models in mountain regions to support risk assessment |
title_full_unstemmed |
Production of high-resolution digital terrain models in mountain regions to support risk assessment |
title_sort |
production of high-resolution digital terrain models in mountain regions to support risk assessment |
publisher |
Taylor & Francis Group |
publishDate |
2015 |
url |
https://doi.org/10.1080/19475705.2013.862746 https://doaj.org/article/75f367307291460ca5f314c1ef235f6f |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Geomatics, Natural Hazards & Risk, Vol 6, Iss 5-7, Pp 379-397 (2015) |
op_relation |
http://dx.doi.org/10.1080/19475705.2013.862746 https://doaj.org/toc/1947-5705 https://doaj.org/toc/1947-5713 1947-5705 1947-5713 doi:10.1080/19475705.2013.862746 https://doaj.org/article/75f367307291460ca5f314c1ef235f6f |
op_doi |
https://doi.org/10.1080/19475705.2013.862746 |
container_title |
Geomatics, Natural Hazards and Risk |
container_volume |
6 |
container_issue |
5-7 |
container_start_page |
379 |
op_container_end_page |
397 |
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1766166331437088768 |