CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery

Gourmelon N, Seehaus T, Klink J, Braun M, Maier A, Christlein V (2023)

Publication Language: English

Publication Status: Accepted

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2023

Pages Range: 896-898

Conference Proceedings Title: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Event location: Pasadena, California

DOI: 10.1109/IGARSS52108.2023.10283406

Authors with CRIS profile

Nora Gourmelon Lehrstuhl für Informatik 5 (Mustererkennung) Thorsten Seehaus Institut für Geographie Julian Klink Lehrstuhl für Informatik 5 (Mustererkennung) Matthias Braun Professur für Geographie (Fernerkundung und GIS) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Vincent Christlein Lehrstuhl für Informatik 5 (Mustererkennung)

Related research project(s)

International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA) (MOCCA) June 1, 2022 - May 31, 2026

How to cite

APA:

Gourmelon, N., Seehaus, T., Klink, J., Braun, M., Maier, A., & Christlein, V. (2023). CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery. In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 896-898). Pasadena, California, US.

MLA:

Gourmelon, Nora, et al. "CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery." Proceedings of the International Geoscience and Remote Sensing Symposium 2023, Pasadena, California 2023. 896-898.

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