Articles | Volume 11, issue 2
https://doi.org/10.5194/tc-11-827-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-827-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Mar 2017
Research article |
| 28 Mar 2017
Terrain changes from images acquired on opportunistic flights by SfM photogrammetry
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Christopher Nuth
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Andreas Kääb
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Bernd Etzelmüller
Department of Geosciences, University of Oslo, Postboks 1047 Blindern, 0316 Oslo, Norway
Jack Kohler
Norwegian Polar Institute, Framsenteret, Hjalmar Johansens gate 14, 9296 Tromsø, Norway
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Total article views: 4,212 (including HTML, PDF, and XML)
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Cited
22 citations as recorded by crossref.
- Is UAV-SfM surveying ready to replace traditional surveying techniques? J. Carrera-Hernández et al. 10.1080/01431161.2020.1727049
- Cost-effective, rapid decorrelation stretching and responsive UAS mapping as a method of detecting archaeological sites and features R. Potter et al. 10.1186/s40494-023-00931-6
- Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry C. David et al. 10.1007/s00338-021-02088-9
- Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrent F. Walter et al. 10.5194/nhess-22-4011-2022
- Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes D. Treichler et al. 10.5194/tc-13-2977-2019
- Assessment of DSM Based on Radiometric Transformation of UAV Data M. Chaudhry et al. 10.3390/s21051649
- Reconciling Svalbard Glacier Mass Balance T. Schuler et al. 10.3389/feart.2020.00156
- Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling M. Chaudhry et al. 10.3390/ijgi9110656
- Stratified camera calibration algorithm based on the calibrating conic B. Chai & Z. Wei 10.1364/OE.480086
- Quality Assessment of Multiple UAV-SfM DEMs Derived for Impact Assessment of a Co-Seismic Avalanche in the Himalayas S. Sunako et al. 10.20965/jdr.2024.p0865
- Mosaicking Opportunistically Acquired Very High-Resolution Helicopter-Borne Images over Drifting Sea Ice Using COTS Sensors C. Hyun et al. 10.3390/s19051251
- Low-Tech and Low-Cost System for High-Resolution Underwater RTK Photogrammetry in Coastal Shallow Waters M. Jaud et al. 10.3390/rs16010020
- Constraining 135 years of mass balance with historic structure-from-motion photogrammetry on Storglaciären, Sweden E. Holmlund & P. Holmlund 10.1080/04353676.2019.1588543
- Understanding wind-driven melt of patchy snow cover L. van der Valk et al. 10.5194/tc-16-4319-2022
- Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application D. Griffiths & H. Burningham 10.1177/0309133318788964
- Land- to lake-terminating transition triggers dynamic thinning of a Bhutanese glacier Y. Sato et al. 10.5194/tc-16-2643-2022
- Surveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanning A. Crawford et al. 10.3390/rs10040575
- A decadal record of inter-annual surface ice flow from Pedersenbreen, Svalbard (2005-15) S. Ai et al. 10.1016/j.polar.2019.100485
- Terrestrial and Airborne Structure from Motion Photogrammetry Applied for Change Detection within a Sinkhole in Thuringia, Germany H. Petschko et al. 10.3390/rs14133058
- Evidences of Bedrock Forcing on Glacier Morphodynamics: A Case Study in Italian Alps N. Dematteis et al. 10.3389/feart.2022.793546
- Recent climate-induced shape changes of the ice summit of Kebnekaise, Northern Sweden P. Holmlund & E. Holmlund 10.1080/04353676.2018.1542130
- Assessment of periglacial response to increased runoff: An Arctic hydrosystem bears witness E. Bernard et al. 10.1002/ldr.3099
21 citations as recorded by crossref.
- Is UAV-SfM surveying ready to replace traditional surveying techniques? J. Carrera-Hernández et al. 10.1080/01431161.2020.1727049
- Cost-effective, rapid decorrelation stretching and responsive UAS mapping as a method of detecting archaeological sites and features R. Potter et al. 10.1186/s40494-023-00931-6
- Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry C. David et al. 10.1007/s00338-021-02088-9
- Brief communication: An autonomous UAV for catchment-wide monitoring of a debris flow torrent F. Walter et al. 10.5194/nhess-22-4011-2022
- Recent glacier and lake changes in High Mountain Asia and their relation to precipitation changes D. Treichler et al. 10.5194/tc-13-2977-2019
- Assessment of DSM Based on Radiometric Transformation of UAV Data M. Chaudhry et al. 10.3390/s21051649
- Reconciling Svalbard Glacier Mass Balance T. Schuler et al. 10.3389/feart.2020.00156
- Impact of UAV Surveying Parameters on Mixed Urban Landuse Surface Modelling M. Chaudhry et al. 10.3390/ijgi9110656
- Stratified camera calibration algorithm based on the calibrating conic B. Chai & Z. Wei 10.1364/OE.480086
- Quality Assessment of Multiple UAV-SfM DEMs Derived for Impact Assessment of a Co-Seismic Avalanche in the Himalayas S. Sunako et al. 10.20965/jdr.2024.p0865
- Mosaicking Opportunistically Acquired Very High-Resolution Helicopter-Borne Images over Drifting Sea Ice Using COTS Sensors C. Hyun et al. 10.3390/s19051251
- Low-Tech and Low-Cost System for High-Resolution Underwater RTK Photogrammetry in Coastal Shallow Waters M. Jaud et al. 10.3390/rs16010020
- Constraining 135 years of mass balance with historic structure-from-motion photogrammetry on Storglaciären, Sweden E. Holmlund & P. Holmlund 10.1080/04353676.2019.1588543
- Understanding wind-driven melt of patchy snow cover L. van der Valk et al. 10.5194/tc-16-4319-2022
- Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application D. Griffiths & H. Burningham 10.1177/0309133318788964
- Land- to lake-terminating transition triggers dynamic thinning of a Bhutanese glacier Y. Sato et al. 10.5194/tc-16-2643-2022
- Surveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanning A. Crawford et al. 10.3390/rs10040575
- A decadal record of inter-annual surface ice flow from Pedersenbreen, Svalbard (2005-15) S. Ai et al. 10.1016/j.polar.2019.100485
- Terrestrial and Airborne Structure from Motion Photogrammetry Applied for Change Detection within a Sinkhole in Thuringia, Germany H. Petschko et al. 10.3390/rs14133058
- Evidences of Bedrock Forcing on Glacier Morphodynamics: A Case Study in Italian Alps N. Dematteis et al. 10.3389/feart.2022.793546
- Recent climate-induced shape changes of the ice summit of Kebnekaise, Northern Sweden P. Holmlund & E. Holmlund 10.1080/04353676.2018.1542130
1 citations as recorded by crossref.
Discussed (final revised paper)
Discussed (preprint)
Latest update: 19 Nov 2024
Short summary
While gathering data on a changing environment is often a costly and complicated endeavour, it is also the backbone of all research. What if one could measure elevation change by just strapping a camera and a hiking GPS under an helicopter or a small airplane used for transportation and gather data on the ground bellow the flight path? In this article, we present a way to do exactly that and show an example survey where it helped compute the volume of ice lost by a glacier in Svalbard.
While gathering data on a changing environment is often a costly and complicated endeavour, it...
