Articles | Volume 9, issue 4
https://doi.org/10.5194/tc-9-1445-2015
© Author(s) 2015. 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-9-1445-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Mapping snow depth from manned aircraft on landscape scales at centimeter resolution using structure-from-motion photogrammetry
M. Nolan
CORRESPONDING AUTHOR
Institute of Northern Engineering, University of Alaska Fairbanks, 306 Tanana Loop, Fairbanks, AK 99775, USA
C. Larsen
Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Drive, Fairbanks, AK 99775, USA
M. Sturm
Geophysical Institute, University of Alaska Fairbanks, 903 Koyukuk Drive, Fairbanks, AK 99775, USA
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147 citations as recorded by crossref.
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- Mapping snow depth in open alpine terrain from stereo satellite imagery R. Marti et al. 10.5194/tc-10-1361-2016
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- Potential of Balloon Photogrammetry for Spatially Continuous Snow Depth Measurements D. Li et al. 10.1109/LGRS.2019.2953481
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134 citations as recorded by crossref.
- Mapping snow depth and spatial variability using SFM photogrammetry of UAV images over rugged mountainous regions of the Western Himalaya S. Dewali et al. 10.1080/10106049.2022.2127923
- Repeat mapping of snow depth across an alpine catchment with RPAS photogrammetry T. Redpath et al. 10.5194/tc-12-3477-2018
- Detecting short-term surface melt over Vestre Broggerbreen, Arctic glacier using indigenously developed unmanned air vehicles M. Geetha Priya et al. 10.1080/10106049.2020.1849416
- A Call for More Snow Sampling S. Fassnacht 10.3390/geosciences11110435
- Low-budget topographic surveying comes of age: Structure from motion photogrammetry in geography and the geosciences K. Anderson et al. 10.1177/0309133319837454
- Location Dictates Snow Aerodynamic Roughness S. Fassnacht et al. 10.3390/glacies1010001
- STUDY ON EFFECTIVE INSTALLATION OF GROUND REFERENCE POINTS FOR UAV-SfM SURVEYING METHOD IN THE SNOW SEASON K. TAKAHASHI et al. 10.2208/jscejj.23-22005
- Measurement of snow distribution using small UAV H. OBANAWA et al. 10.5331/seppyo.78.5_317
- Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
- Potential of the Bi-Static SAR Satellite Companion Mission Harmony for Land-Ice Observations A. Kääb et al. 10.3390/rs16162918
- Reconstruction of former glacier surface topography from archive oblique aerial images N. Midgley & T. Tonkin 10.1016/j.geomorph.2017.01.008
- A novel approach for extraction of ripple mark parameters based on SfM L. Li et al. 10.1016/j.sedgeo.2019.105523
- Interannual snow accumulation variability on glaciers derived from repeat, spatially extensive ground-penetrating radar surveys D. McGrath et al. 10.5194/tc-12-3617-2018
- Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation C. De Michele et al. 10.5194/tc-10-511-2016
- Sediment redistribution beneath the terminus of an advancing glacier, Taku Glacier (T'aakúKwáan Sít'i), Alaska J. Zechmann et al. 10.1017/jog.2020.101
- Mapping snow depth in open alpine terrain from stereo satellite imagery R. Marti et al. 10.5194/tc-10-1361-2016
- Multitemporal Accuracy and Precision Assessment of Unmanned Aerial System Photogrammetry for Slope-Scale Snow Depth Maps in Alpine Terrain M. Adams et al. 10.1007/s00024-017-1748-y
- Thaw slump activity measured using stationary cameras in time-lapse and Structure-from-Motion photogrammetry L. Armstrong et al. 10.1139/as-2018-0016
- Potential of Balloon Photogrammetry for Spatially Continuous Snow Depth Measurements D. Li et al. 10.1109/LGRS.2019.2953481
- Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry T. Tonkin & N. Midgley 10.3390/rs8090786
- Image acquisition effects on Unmanned Air Vehicle snow depth retrievals A. Tekeli & S. Dönmez 10.5194/piahs-380-81-2018
- Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
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Short summary
This paper presents a photogrammetric method for measuring topography from manned aircraft with an accuracy of 30 cm and repeatability of 8 cm, at significantly lower cost than other methods. Here we created difference maps to demonstrate that we could measure snow depth with an accuracy of 10 cm compared to over 6000 snow-probe measurements on the ground, but do so over entire watersheds at 10-20 cm spatial resolution rather than just a few transects.
This paper presents a photogrammetric method for measuring topography from manned aircraft with...