TY - JOUR

T1 - Recognition of crevasses with high-resolution digital elevation models

T2 - Application of geomorphometric modeling and texture analysis

AU - Ishalina, Olga T.

AU - Bliakharskii, Dmitrii P.

AU - Florinsky, Igor V.

N1 - Publisher Copyright: © 2021 John Wiley & Sons Ltd

PY - 2021/7/6

Y1 - 2021/7/6

N2 - Crevasses—cracks in glaciers and ice sheets—pose a danger to polar researchers and glaciologists. We compare the capabilities of two techniques—geomorphometric modeling and texture analysis—to recognize open and hidden crevasses using high-resolution digital elevation models (DEMs) generated from images collected by an unmanned aerial system (UAS). The first technique includes derivation of local morphometric variables; the second includes calculation of the Haralick texture features. The study area is represented by the first 30 km of a sledge route between the Progress and Vostok polar stations, East Antarctica. The UAS survey was performed by a Geoscan 201 Geodesy UAS. For the sledge route area, DEMs with resolutions of 0.25, 0.5, and 1 m were generated. Models of 12 morphometric variables and 11 texture features were derived from the DEMs. In terms of crevasse recognition, the most informative morphometric variable and texture feature was horizontal curvature and inverse difference moment, respectively. In most cases, derivation and mapping of these variables allow one to recognize crevasses wider than 3 m; narrower crevasses can be recognized for lengths from 500 m. For crevasse recognition, the geomorphometric modeling and the Haralick texture analysis can complement each other.

AB - Crevasses—cracks in glaciers and ice sheets—pose a danger to polar researchers and glaciologists. We compare the capabilities of two techniques—geomorphometric modeling and texture analysis—to recognize open and hidden crevasses using high-resolution digital elevation models (DEMs) generated from images collected by an unmanned aerial system (UAS). The first technique includes derivation of local morphometric variables; the second includes calculation of the Haralick texture features. The study area is represented by the first 30 km of a sledge route between the Progress and Vostok polar stations, East Antarctica. The UAS survey was performed by a Geoscan 201 Geodesy UAS. For the sledge route area, DEMs with resolutions of 0.25, 0.5, and 1 m were generated. Models of 12 morphometric variables and 11 texture features were derived from the DEMs. In terms of crevasse recognition, the most informative morphometric variable and texture feature was horizontal curvature and inverse difference moment, respectively. In most cases, derivation and mapping of these variables allow one to recognize crevasses wider than 3 m; narrower crevasses can be recognized for lengths from 500 m. For crevasse recognition, the geomorphometric modeling and the Haralick texture analysis can complement each other.

KW - UNMANNED AERIAL SURVEY

KW - GLACIER

KW - GLACIOLOGY

KW - SATELLITE

UR - http://www.scopus.com/inward/record.url?scp=85109193049&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/cd9463bf-96ed-311b-8ab3-6d1fcb8ed2d2/

U2 - 10.1111/tgis.12790

DO - 10.1111/tgis.12790

M3 - Article

AN - SCOPUS:85109193049

VL - 25

SP - 2529

EP - 2552

JO - Transactions in GIS

JF - Transactions in GIS

SN - 1361-1682

IS - 5

M1 - 5

ER -