Research output: Contribution to journal › Conference article › peer-review
TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY. / Florinsky, I. V.; Skrypitsyna, T. N.; Bliakharskii, D. P.; Ishalina, O. T.; Kiseleva, A. S.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 43, No. B2, 06.08.2020, p. 1065-1071.Research output: Contribution to journal › Conference article › peer-review
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TY - JOUR
T1 - TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY
AU - Florinsky, I. V.
AU - Skrypitsyna, T. N.
AU - Bliakharskii, D. P.
AU - Ishalina, O. T.
AU - Kiseleva, A. S.
N1 - Funding Information: The project is supported by the Russian Foundation for Basic Research and the National Natural Science Foundation of China, grant # 20-51-53016. Publisher Copyright: © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/8/6
Y1 - 2020/8/6
N2 - Glaciated areas are important targets for interdisciplinary research. In the last quarter of the 20th century, there has been a significant shift in glacier observation approaches from direct fieldwork to remote sensing. Over the past 15 years, unmanned aerial systems have been increasingly used for this purpose. In this article, we briefly describe a newly launched Russian-Chinese project aimed at developing a theory and methodology for digital modeling and analysis of the glacier microtopography using very high resolution data from unmanned aerial surveys. We argue the relevance of the study and review key publications on the application of digital terrain modeling and geomorphometry in glaciology. Next, we discuss the aim of the project and tasks performed by the Russian side, as well as materials and methods used in the study. As initial data, we use multi-temporal, digital aerial images of very high resolution (5 cm) collected by the unmanned aerial survey of the ice sheet and glaciers near the Larsemann Hills, East Antarctic. Finally, we present some examples for geomorphometric analysis of glacier microtopography including snow/ice features of eolian origin.
AB - Glaciated areas are important targets for interdisciplinary research. In the last quarter of the 20th century, there has been a significant shift in glacier observation approaches from direct fieldwork to remote sensing. Over the past 15 years, unmanned aerial systems have been increasingly used for this purpose. In this article, we briefly describe a newly launched Russian-Chinese project aimed at developing a theory and methodology for digital modeling and analysis of the glacier microtopography using very high resolution data from unmanned aerial surveys. We argue the relevance of the study and review key publications on the application of digital terrain modeling and geomorphometry in glaciology. Next, we discuss the aim of the project and tasks performed by the Russian side, as well as materials and methods used in the study. As initial data, we use multi-temporal, digital aerial images of very high resolution (5 cm) collected by the unmanned aerial survey of the ice sheet and glaciers near the Larsemann Hills, East Antarctic. Finally, we present some examples for geomorphometric analysis of glacier microtopography including snow/ice features of eolian origin.
KW - Digital Terrain Modeling
KW - Geomorphometry
KW - Glacier
KW - Microtopography
KW - Unmanned Aerial Survey
UR - http://www.scopus.com/inward/record.url?scp=85091092449&partnerID=8YFLogxK
U2 - 10.5194/isprs-archives-XLIII-B2-2020-1065-2020
DO - 10.5194/isprs-archives-XLIII-B2-2020-1065-2020
M3 - Conference article
AN - SCOPUS:85091092449
VL - 43
SP - 1065
EP - 1071
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SN - 1682-1750
IS - B2
T2 - 2020 24th ISPRS Congress - Technical Commission II
Y2 - 31 August 2020 through 2 September 2020
ER -
ID: 69869277