IDEAS home Printed from https://ideas.repec.org/a/wly/perpro/v11y2000i4p315-326.html
   My bibliography  Save this article

Surface Geometry, Thickness Changes and Flow Fields on Creeping Mountain Permafrost: Automatic Extraction by Digital Image Analysis

Author

Listed:
  • A. Kääb
  • M. Vollmer

Abstract

Aerial photogrammetry is an established tool for area‐wide mapping and monitoring of permafrost geometry, thickness changes and surface creep. This study applies commercial software for the automatic generation of elevation models from digital imagery and presents a newly developed tool for digital measurement of surface displacements from repeated orthophotos. The accuracy and quality of automatically‐derived geometry and velocity data are compared to conventionally‐derived elevation and velocity data from the Muragl rock glacier in the Swiss Alps. The analysis reveals that for thickness changes and velocities digital photogrammetry provides at least the same accuracy as the reference data. Under unfavourable terrain and image conditions, such as steep slopes, shadows or snow cover, the reliability of the automatically‐derived data is significantly lower than the operator‐measured ones. Copyright © 2000 John Wiley & Sons, Ltd. La photogrammétrie aérienne est un outil reconnu pour cartographier et suivre l'évolution du pergélisol, et spécialement pour déterminer les changements d'épaisseur et la vitesse du creep en surface. La présente étude s'intéresse aux programmes automatiques mesurant l'altitude à partir d'images digitales; elle présente ce nouvel outil pour connaître les déplacements de surface en comparant des orthophotos prises à différents moments. La précision et la qualité des données automatiquement obtenues sont comparées avcc les mesures d'altitude et de vitesse obtenues de la manière habituelle pour le glacier rocheux Muragl dans les Alpes suisses. L'analyse révèle que la photogrammétrie digitale donne au moins la même précision que les données de référence. Sous des conditions de terrain et d'image défavorables telles que des pentes fortes, des zones à l'ombre ou sous couverture neigeuse, la fiabilité des données obtenues automatiquement est significativement inférieure à celles obtenues par un opérateur. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • A. Kääb & M. Vollmer, 2000. "Surface Geometry, Thickness Changes and Flow Fields on Creeping Mountain Permafrost: Automatic Extraction by Digital Image Analysis," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 11(4), pages 315-326, December.
  • Handle: RePEc:wly:perpro:v:11:y:2000:i:4:p:315-326
    DOI: 10.1002/1099-1530(200012)11:43.0.CO;2-J
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1099-1530(200012)11:43.0.CO;2-J
    Download Restriction: no

    File URL: https://libkey.io/10.1002/1099-1530(200012)11:43.0.CO;2-J?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Atanu Bhattacharya & Kriti Mukherjee & Manoj Kuri & Malte Vöge & M. Sharma & M. Arora & Rejinder Bhasin, 2015. "Potential of SAR intensity tracking technique to estimate displacement rate in a landslide-prone area in Haridwar region, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(3), pages 2101-2121, December.
    2. Alessandro Cicoira & Marco Marcer & Isabelle Gärtner‐Roer & Xavier Bodin & Lukas U. Arenson & Andreas Vieli, 2021. "A general theory of rock glacier creep based on in‐situ and remote sensing observations," Permafrost and Periglacial Processes, John Wiley & Sons, vol. 32(1), pages 139-153, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:perpro:v:11:y:2000:i:4:p:315-326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1099-1530 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.