Standard

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 journalConference articlepeer-review

Harvard

Florinsky, IV, Skrypitsyna, TN, Bliakharskii, DP, Ishalina, OT & Kiseleva, AS 2020, 'TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, vol. 43, no. B2, pp. 1065-1071. https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1065-2020

APA

Florinsky, I. V., Skrypitsyna, T. N., Bliakharskii, D. P., Ishalina, O. T., & Kiseleva, A. S. (2020). TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43(B2), 1065-1071. https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1065-2020

Vancouver

Florinsky IV, Skrypitsyna TN, Bliakharskii DP, Ishalina OT, Kiseleva AS. TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2020 Aug 6;43(B2):1065-1071. https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1065-2020

Author

Florinsky, I. V. ; Skrypitsyna, T. N. ; Bliakharskii, D. P. ; Ishalina, O. T. ; Kiseleva, A. S. / TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. 2020 ; Vol. 43, No. B2. pp. 1065-1071.

BibTeX

@article{bde7780e66cc447c90769639a2aa9c49,
title = "TOWARDS the MODELING of GLACIER MICROTOPOGRAPHY USING HIGH-RESOLUTION DATA from UNMANNED AERIAL SURVEY",
abstract = "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.",
keywords = "Digital Terrain Modeling, Geomorphometry, Glacier, Microtopography, Unmanned Aerial Survey",
author = "Florinsky, {I. V.} and Skrypitsyna, {T. N.} and Bliakharskii, {D. P.} and Ishalina, {O. T.} and Kiseleva, {A. S.}",
note = "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: {\textcopyright} 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 24th ISPRS Congress - Technical Commission II ; Conference date: 31-08-2020 Through 02-09-2020",
year = "2020",
month = aug,
day = "6",
doi = "10.5194/isprs-archives-XLIII-B2-2020-1065-2020",
language = "English",
volume = "43",
pages = "1065--1071",
journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
issn = "1682-1750",
publisher = "International Society for Photogrammetry and Remote Sensing",
number = "B2",

}

RIS

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