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Automatic calving front delienation on TerraSAR-X and Sentinel-1 SAR imagery

Krieger, Lukas and Floricioiu, Dana (2017) Automatic calving front delienation on TerraSAR-X and Sentinel-1 SAR imagery. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017 IEEE International Geoscience and Remote Sensing Symposium, 23.-28. Jul 2017, Fort Worth, Texas, USA.

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Abstract

This paper presents an approach for automatic calving front delineation of marine-terminating outlet glaciers. We utilize a Canny edge detection approach together with a shortest path optimization problem to find calving front locations (CFL) on SAR backscattering images from Sentinel-1 and TerraSARX. The CFLs are detected on Stripmap images acquired over Zachariae Isstroem in Northeast Greenland where difficult conditions for CFL retrieval exist. We compare our results to CFLs that are delineated by hand and find good agreement, independent of the used sensor.

Item URL in elib:https://elib.dlr.de/114563/
Document Type:Conference or Workshop Item (Speech)
Title:Automatic calving front delienation on TerraSAR-X and Sentinel-1 SAR imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Krieger, Lukaslukas.krieger (at) dlr.dehttps://orcid.org/0000-0002-2464-3102
Floricioiu, Danadana.floricioiu (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:SAR, Calving front, Ice Sheet, Glacier, Greenland
Event Title:2017 IEEE International Geoscience and Remote Sensing Symposium
Event Location:Fort Worth, Texas, USA
Event Type:international Conference
Event Dates:23.-28. Jul 2017
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - SAR-Methodology
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Krieger, Lukas
Deposited On:17 Oct 2017 13:16
Last Modified:31 Jul 2019 20:12

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