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Salazar, Sean; Dahle, Halgeir; Dupuy, Bastien; Frauenfelder, Regula; Grøver, Arnt & Humstad, Tore
[Vis alle 11 forfattere av denne artikkelen]
(2023).
Multisensor UAS testing to support avalanche forecasting and monitoring.
EAGE Conference and Exhibition.
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Humstad, Tore; McCormack, E.; Frauenfelder, Regula; Salazar, Sean; Dupuy, Bastien & Hendrikx, Jordy
(2023).
Keeping winter roads open: Integrating snow avalanche risk assessment data from uncrewed aerial vehicles into roadway agencies' decision support systems.
Vis sammendrag
Uncrewed aerial vehicles (UAVs) are increasingly used to monitor snow conditions. Routine operational use by roadway owning organisations for avalanche risk assessments require an understanding of UAV and sensor technology as well as of relevant organisational aspects. To investigate these areas, the Norwegian public-sector innovation project "Geohazard Survey from Air" (GEOSFAIR) is exploring remote decision support using UAVs. The effort has developed methodologies for effectively collecting and integrating UAV data into the decision support system for roadside avalanche risk assessments, helping keep critical roadways open and safe.
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Frauenfelder, Regula; Lato, Matthew & Biskupič, Marek
(2022).
Avalanche detection and mapping by satellite remote sensing.
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Salazar, Sean; Frauenfelder, Regula & Smebye, Helge
(2022).
UAV Survey Methods for Geohazard Investigation, Modelling, and Monitoring.
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Bohloli, Bahman; Park, Joonsang; Bjørnarå, Tore Ingvald; Sparrevik, Per; Frauenfelder, Regula & Vöge, Malte
[Vis alle 10 forfattere av denne artikkelen]
(2021).
Monitoring ground surface and seafloor deformation caused by subsurface fluid injection.
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Salazar, Sean; Paulsen, Eivind Magnus; Emhjellen, Linn Alexandra; Gauer, Peter; Frauenfelder, Regula & Smebye, Helge
(2021).
3D modelling of an avalanche experiment using multi-platform remote observations.
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Frauenfelder, Regula; Vöge, Malte; Pfaffhuber, Andreas Aspmo; Hauser, Carsten; Dehli, Geir & Syversen, Fredrikke
(2019).
Settlement monitoring using space-borne radar interferometry, in the context of large infrastructure projects.
I Icelandic Geotechnical Society, The authors (Red.),
Proceedings of the XVII ECSMGE 2019 : Geotechnical Engineering foundation of the future : European Conference on Soil Mechanics and Geotechnical Engineering.
Icelandic Geotechnical Society.
ISSN 978-9935-9436-1-3.
Fulltekst i vitenarkiv
Vis sammendrag
Geodetic data acquisition in urban areas and along linear infrastructure are major cost drivers in big infrastructure projects. Modern remote sensing methods help us to manage data acquisitions with high effectiveness during the different phases of such projects. Here, we show how we apply space-borne radar interferometry to monitor settlements. We showcase two examples: a) the new E18-highway development project in Bærum, Norway; and b) the Follo Line railway project between Ski and Oslo. Monitoring is done by exploiting very high resolution TerraSAR-X data (ca. 1.5 x 1.5 m spatial ground resolution) in the E18 case, and high
resolution Radarsat-2 data (ca. 7 x 7 m spatial ground resolution) in the Follo Line case. In both cases,
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Karlsrud, Kjell; Vangelsten, Bjørn Vidar & Frauenfelder, Regula
(2016).
Setninger som følge av grunnvannspumping- en udetonert bombe med større konsekvenser enn klimaendringer for mange land.
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Malnes, Eirik; Eckerstorfer, Markus; Storvold, Rune; Frauenfelder, Regula & Jónsson, Árni
(2014).
SeFaS - Monitoring avalanches in Norway using SAR and UAV borne sensors.
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Eckerstorfer, Markus; Malnes, Eirik; Frauenfelder, Regula; Domaas, Ulrik & Brattlien, Kjetil
(2014).
Avalanche debris detection using satellite-borne radar and optical remote sensing.
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Malnes, Eirik; Eckerstorfer, Markus; Larsen, yngvar; Frauenfelder, Regula; Jónsson, Árni & Jaedicke, Christian
[Vis alle 7 forfattere av denne artikkelen]
(2013).
Remote sensing of avalanches in northern Norway using Synthetic Aperture Radar.
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Lato, Matt; Frauenfelder, Regula & Bühler, Yves
(2012).
Automated avalanche deposit mappping from vhr optical imagery.
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Lato, Matt; Frauenfelder, Regula & Bühler, Y.
(2012).
Automated Avalanche Deposit Mapping From VHR Optical Imagery.
Vis sammendrag
Using eCognition we developed an algorithm to automatically detect and map avalanche deposits in Very High Resolution (VHR) optical remote sensing imagery acquired from satellites and airplanes. The algorithm relies on a cluster-based object-oriented image interpretation approach which employs segmentation and classification methodologies to identify avalanche deposits. The algorithm is capable of detecting avalanche deposits of varying size, composition, and texture. A discrete analysis of one data set (airborne imagery collected near Davos, Switzerland) demonstrates the capability of the algorithm. By comparing the automated detection results to the manually mapped results for the same image, 33 of the 35 manually digitized slides were correctly identified by the automated method. The automated mapping approach characterized 201 667 m2, of the image as being representative of a fresh snow avalanche, roughly 8.5% of the image. Through a spatial intersection between the manually mapped avalanches and the automatically mapped avalanches, 184 432 m2, or 89%, of the automatically mapped regions are spatially linked to the manually mapped regions. The rate of false positive was less than 1% of the pixels in the image. The initial results of the algorithm are promising, future development and implementation is currently being evaluated. The ability to automatically identify the location and extent of avalanche deposits using VHR optical imagery can assist in the development of detailed regional maps of zones historically prone to avalanches. This in turn can help to validate issued avalanche warnings.
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Frauenfelder, Regula; Solberg, Rune; Larsen, Siri Øyen; Salberg, Arnt Børre & Bjordal, Heidi
(2012).
Remote-Sensing Derived Avalanche Inventory Data.
Vis sammendrag
Every year snow avalanches pose a significant threat to transportation infrastructure. The societal demand to minimize closures of the main transport network while
maintaining an acceptable level of personal safety at the same time has dramatically increased over the past decade. In Norway, decisions regarding avalanche warning, including pre-emptive road closure, are based on factors such as snow depth, meteorological conditions and expert opinion. The ability to automatically identify snow avalanches using very-high resolution optical imagery would greatly assist in the development of highly accurate, widespread, detailed maps of zones prone to avalanches. This would provide decision makers with better knowledge of previous events and details regarding the size and extent of historical events. We present the results of a ‘proof-of-concept’ study on the operation of a service providing the Norwegian Public Roads Administration (NPRA) with satellite data derived avalanche inventory data. We have explored the use of imagery from high-resolution and very-high-resolution space-borne satellites by developing and testing automated image segmentation and classification algorithms for the detection and mapping of avalanche deposits.
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Solberg, Rune; Frauenfelder, Regula; Larsen, Siri Øyen & Salberg, Arnt Børre
(2012).
Experiments with remote sensing in the context of avalanche warning and detection.
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Salberg, Arnt Børre; Larsen, Siri Øyen; Frauenfelder, Regula & Solberg, Rune
(2011).
Automatic detection of avalanches in high resolution optical satellite data.
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Kääb, Andreas Max; Frauenfelder, Regula & Kronholm, Kalle
(2009).
Combined use of optical remote sensing and GIS for landslide mapping: example from Pakistan.
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Frauenfelder, Regula & Kääb, Andreas Max
(2009).
Glacier mapping from multi-temporal optical remote sensing data within the Brahmaputra River Basin.
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Kääb, Andreas Max; Frauenfelder, Regula; Hoelzle, M.; Sossna, Iris & Avian, Michael
(2009).
Glacier, glacier lake and permafrost distribution in the Brahmaputra river basin.
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Frauenfelder, Regula; Kronholm, Kalle & Kääb, Andreas Max
(2009).
Combined use of optical remote sensing and GIS for landslide mapping.
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Frauenfelder, Regula; Tolgensbakk, Jon; Farbrot, Herman & Lauknes, Tom Rune
(2008).
Rockglaciers in the Kåfjord Area, Troms, Northern Norway.
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Kääb, Andreas Max & Frauenfelder, Regula
(2008).
Glacier distribution and glacier area changes 1960s-2000 in the Brahmaputra river basin.
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Reutz, Elisabeth Hoffstad; Frauenfelder, Regula & Salazar, Sean
(2022).
GEOSFAIR – Geohazard Survey from Air: Consolidation of requirements - Analysis of questionnaire.
Norges Geotekniske Institutt.
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Frauenfelder, Regula; Salazar, Sean; Dahle, Halgeir; Humstad, Tore; McCormack, Edward & Solbakken, Emil
[Vis alle 11 forfattere av denne artikkelen]
(2022).
Field test of UAS to support avalanche monitoring: Field test activity report - Fonnbu March 2022.
Statens vegvesen.
ISSN 1893-1162.
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Frauenfelder, Regula & Moldestad, Dag Anders
(2020).
CO2 storage site monitoring with InSAR.
Norsk Romsenter.
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Bohloli, Bahman; Sparrevik, Per; Vöge, Malte; Frauenfelder, Regula; Park, Joonsang & Berndt, Christian
[Vis alle 10 forfattere av denne artikkelen]
(2020).
Quantification of ground movement. State-of-the-art.
NGI (Norges Geotekniske Institutt).
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Frauenfelder, Regula; Kaiser, Gunilla; Harbitz, Carl Bonnevie; Glimsdal, Sylfest; Liu, Zhongqiang & Cepeda, Jose
[Vis alle 9 forfattere av denne artikkelen]
(2017).
GeoRisk Assessment and Management (GRAM). Subproject 4.3: Climate adaptation in risk and vulnerability
analysis.
NGI.
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Frauenfelder, Regula; Kronholm, Kalle; Solberg, Rune; Salberg, Arnt Børre & Larsen, Siri Øyen
(2011).
Service Implementation Document – Deliverable 3. ESA project report, AvalRS, ESRIN/Contract No. 22139/08/I-EC.
European Space Agency.