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Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types

Florath, Janine 1; Keller, Sina ORCID iD icon 1; Abarca-del-Rio, Rodrigo; Hinz, Stefan 1; Staub, Guido; Weinmann, Martin 1
1 Institut für Photogrammetrie und Fernerkundung (IPF), Karlsruher Institut für Technologie (KIT)

Abstract:

Remote sensing techniques are frequently applied for the surveying of remote areas, where the use of conventional surveying techniques remains difficult and impracticable. In this paper, we focus on one of the remote glacier areas, namely the Tyndall Glacier area in the Southern Patagonian Icefield in Chile. Based on optical remote sensing data in the form of multi-spectral Sentinel-2 imagery, we analyze the extent of different snow and ice classes on the surface of the glacier by means of pixel-wise classification. Our study comprises three main steps: (1) Labeled Sentinel-2 compliant data are obtained from theoretical spectral reflectance curves, as there are no training data available for the investigated area; (2) Four different classification approaches are used and compared in their ability to identify the defined five snow and ice types, thereof two unsupervised approaches (k-means clustering and rule-based classification via snow and ice indices) and two supervised approaches (Linear Discriminant Analysis and Random Forest classifier); (3) We first focus on the pixel-wise classification of Sentinel-2 imagery, and we then use the best-performing approach for a multi-temporal analysis of the Tyndall Glacier area. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000143161
Veröffentlicht am 18.02.2022
Originalveröffentlichung
DOI: 10.3390/rs14040845
Scopus
Zitationen: 6
Web of Science
Zitationen: 5
Dimensions
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 11.02.2022
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000143161
Erschienen in Remote sensing
Verlag MDPI
Band 14
Heft 4
Seiten Article no: 845
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagwörter remote sensing; glacier monitoring; snow mapping; classification; multi-temporal; multi-spectral; change detection; Sentinel-2
Nachgewiesen in Web of Science
Dimensions
Scopus
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