Glacier internal structure revealed by automatic image processing-powered classification of radar images

Fuente: Zenodo
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Kachniarz, Kamil, Grabiec, Mariusz, Wrobel, Krzysztof, Ignatiuk, Dariusz
Format: Recurso digital
Langue:anglais
Publié: Zenodo 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866901139780272128
author Kachniarz, Kamil
Grabiec, Mariusz
Wrobel, Krzysztof
Ignatiuk, Dariusz
author_facet Kachniarz, Kamil
Grabiec, Mariusz
Wrobel, Krzysztof
Ignatiuk, Dariusz
contents <p>The evolution of glaciers’ internal structure, primarily driven by their thermal state, reflects ongoing climate change. Understanding the thermal structure is essential for studying glacier dynamics, mass balance, and hydrological system. Radio-echo sounding enabled the indirect identification of water-saturated temperate ice (W-STI) and water-free ice (W-FI). A novel automatic image processing method has been applied to eliminate the subjectivity and the time consumption of manual determining layer boundaries. The technique based on local binarization was used to assess the internal state and changes of the Arctic glacier Hansbreen from 2007 to 2021, revealing its evolution from a two-layer to a nearly homogeneous structure containing only temperate ice. The average difference between manual and automatic structure recognition results is 1.8 percentage points. The primary mechanisms of the disappearance of the W-FI layer are surface ablation, reducing the W-FI thickness, and the expansion of drainage zones, diminishing the range of W-FI.</p>
format Recurso digital
id zenodo_https___doi_org_10_1007_s12518-025-00635-5
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Glacier internal structure revealed by automatic image processing-powered classification of radar images
Kachniarz, Kamil
Grabiec, Mariusz
Wrobel, Krzysztof
Ignatiuk, Dariusz
Glaciology
Arctic region
Image processing
<p>The evolution of glaciers’ internal structure, primarily driven by their thermal state, reflects ongoing climate change. Understanding the thermal structure is essential for studying glacier dynamics, mass balance, and hydrological system. Radio-echo sounding enabled the indirect identification of water-saturated temperate ice (W-STI) and water-free ice (W-FI). A novel automatic image processing method has been applied to eliminate the subjectivity and the time consumption of manual determining layer boundaries. The technique based on local binarization was used to assess the internal state and changes of the Arctic glacier Hansbreen from 2007 to 2021, revealing its evolution from a two-layer to a nearly homogeneous structure containing only temperate ice. The average difference between manual and automatic structure recognition results is 1.8 percentage points. The primary mechanisms of the disappearance of the W-FI layer are surface ablation, reducing the W-FI thickness, and the expansion of drainage zones, diminishing the range of W-FI.</p>
title Glacier internal structure revealed by automatic image processing-powered classification of radar images
topic Glaciology
Arctic region
Image processing
url https://doi.org/10.1007/s12518-025-00635-5