Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Unmanned aerial survey for modelling glacier topography in Antarctica: First results. / Бляхарский, Дмитрий Петрович; Флоринский, Игорь.
GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management. ed. / Robert Laurini; Cedric Grueau; Lemonia Ragia. Vol. 1:GISTAM SciTePress, 2018. p. 319-326 (GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management; Vol. 2018-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Unmanned aerial survey for modelling glacier topography in Antarctica: First results
AU - Бляхарский, Дмитрий Петрович
AU - Флоринский, Игорь
PY - 2018/1/1
Y1 - 2018/1/1
N2 - For Antarctic research, one of the most important support tasks is a rapid and safe monitoring of sledge routes, snow / ice airfields, and other visited areas for detection of open crevasses, revealing of hidden, snow-covered ones, as well as studying of their dynamics. We present the first results from a study of applying unmanned aerial systems (UASs) and UAS-derived data to model glacier topography in contexts of detecting crevasses and monitoring changes in glacier surfaces. The study was conducted in East Antarctica in the austral summer 2016/2017. The surveyed areas included an eastern part of the Larsemann Hills, an airfield of the Progress Station, an initial section of a sledge route from the Progress to Vostok Stations, and a north-western portion of the Dålk Glacier before and after its collaps. The surveying was performed by Geoscan 201, a flying-wing UAS. For the photogrammetric processing of imagery, we applied software Agisoft PhotoScan Professional. High-resolution digital elevation models (DEMs) for surveyed areas were produced. For the Dålk Glacier, we derived two DEMs related to the pre- and post-collapsed glacier surface. A further analysis will be performed by methods of geomorphometry. The focus will be on the revealing of crevasses.
AB - For Antarctic research, one of the most important support tasks is a rapid and safe monitoring of sledge routes, snow / ice airfields, and other visited areas for detection of open crevasses, revealing of hidden, snow-covered ones, as well as studying of their dynamics. We present the first results from a study of applying unmanned aerial systems (UASs) and UAS-derived data to model glacier topography in contexts of detecting crevasses and monitoring changes in glacier surfaces. The study was conducted in East Antarctica in the austral summer 2016/2017. The surveyed areas included an eastern part of the Larsemann Hills, an airfield of the Progress Station, an initial section of a sledge route from the Progress to Vostok Stations, and a north-western portion of the Dålk Glacier before and after its collaps. The surveying was performed by Geoscan 201, a flying-wing UAS. For the photogrammetric processing of imagery, we applied software Agisoft PhotoScan Professional. High-resolution digital elevation models (DEMs) for surveyed areas were produced. For the Dålk Glacier, we derived two DEMs related to the pre- and post-collapsed glacier surface. A further analysis will be performed by methods of geomorphometry. The focus will be on the revealing of crevasses.
KW - Crevasse
KW - Digital Elevation Model
KW - Photogrammetry
KW - Unmanned Aerial System
KW - Unmanned Aerial Vehicle
UR - http://www.scopus.com/inward/record.url?scp=85051951431&partnerID=8YFLogxK
U2 - 10.5220/0006812603190326
DO - 10.5220/0006812603190326
M3 - Conference contribution
VL - 1:GISTAM
T3 - GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management
SP - 319
EP - 326
BT - GISTAM 2018 - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management
A2 - Laurini, Robert
A2 - Grueau, Cedric
A2 - Ragia, Lemonia
PB - SciTePress
ER -
ID: 33791316