Items where Author is "Heidler, Konrad"

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Number of items: 12.

Article
Loebel, E. , Scheinert, M. , Horwath, M. , Humbert, A. , Sohn, J. , Heidler, K. , Liebezeit, C. and Zhu, X. X. (2024)
Calving front monitoring at a subseasonal resolution: a deep learning application for Greenland glaciers ,
The Cryosphere, 18 (7), pp. 3315-3332 .
doi:10.5194/tc-18-3315-2024 , hdl:10013/epic.d1db8345-664c-4e41-b892-49f06517ec18
[thumbnail of tc-18-3315-2024.pdf]
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Conference -Lecture
Nitze, I. , Heidler, K. , Maier, K. , Barth, S. , Nesterova, N. , Schütt, E. , Küpper, J. , Hölzer, T. , Liljedahl, A. and Grosse, G. (2024)
Using Deep Learning to Advance Global Monitoring of Retrogressive Thaw Slumps at High Spatio-Temporal Resolution
hdl:10013/epic.8be78a2c-8107-4b6b-81bb-d8dd803330b6
[thumbnail of ICOP24_04E_457_Nitze.pdf]
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Article
Heidler, K. , Nitze, I. , Grosse, G. and Zhu, X. X. (2024)
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic ,
IEEE Transactions on Geoscience and Remote Sensing, 62 , pp. 1-12 .
doi:10.1109/tgrs.2024.3448294 , hdl:10013/epic.d72bcfa3-862a-4115-b042-b1d196b69694
[thumbnail of PixelDINO_Semi-Supervised_Semantic_Segmentation_for_Detecting_Permafrost_Disturbances_in_the_Arctic.pdf]
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Conference -Keynote
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. ORCID: https://orcid.org/0000-0001-8226-0727, Barth, S. and Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141 (2022)
Deep Learning for mapping retrogressive thaw slumps across the Arctic ,
16th International Circumpolar Remote Sensing Symposium, Fairbanks, AK, USA, 16 May 2022 - 20 May 2022 .
hdl:10013/epic.6bfd230d-94ba-4efd-993b-87dfe922c102
[thumbnail of INitze_PresICRSS.pdf]
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Conference -Invited talk
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. , Barth, S. and Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141 (2022)
Deep learning for mapping retrogressive thaw slumps and landslides across the Arctic permafrost domain ,
NSF NNA CryoSlideRisk Workshop, Penn State University, 12 May 2022 - 13 May 2022 .
hdl:10013/epic.c06c16be-dc75-4a47-93a8-dc848c8a1750
[thumbnail of INitze_PresNNA.pdf]
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Article
Loebel, E. , Scheinert, M. , Horwath, M. , Heidler, K. , Christmann, J. , Phan, L. D. , Humbert, A. and Zhu, X. X. (2022)
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features ,
IEEE Transactions on Geoscience and Remote Sensing, 60 , pp. 1-12 .
doi:10.1109/tgrs.2022.3208454 , hdl:10013/epic.337ed211-fdc3-49f2-85e4-7ef459414ae3
[thumbnail of loebel2022.pdf]
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Conference -Talk
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. , Barth, S. , Guido, G. ORCID: https://orcid.org/0000-0001-5895-2141 and Targowicka, A. (2021)
Evaluating a deep-learning approach for mapping retrogressive thaw slumps across the Arctic ,
AGU Fall Meeting 2021, Online, 13 December 2021 - 17 December 2021 .
hdl:10013/epic.bf42dc2a-edd8-480e-829c-ffbfb003f1ce

Article
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. , Barth, S. and Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141 (2021)
Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps ,
Remote Sensing, 13 (21), p. 4294 .
doi:10.3390/rs13214294 , hdl:10013/epic.214c5215-4dab-41fd-aa57-131f5892ef8d
[thumbnail of remotesensing-13-04294.pdf]
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Conference -Talk
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. , Barth, S. , Targowicka, A. and Guido, G. ORCID: https://orcid.org/0000-0001-5895-2141 (2021)
Evaluating a deep learning approach for mapping retrogressive thaw slumps across the Arctic ,
Regional Conference on Permafrost 2021, online, October 2021 - unspecified .
hdl:10013/epic.e40cb27a-8bfa-46a7-b35c-686e186b555c

Conference -Talk
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Phan, L. D. , Christmann, J. ORCID: https://orcid.org/0000-0002-5044-1192, Rueckamp, M. ORCID: https://orcid.org/0000-0003-2512-7238, Humbert, A. ORCID: https://orcid.org/0000-0002-0244-8760, Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141, Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791, Dinter, T. , Heidler, K. and Barth, S. (2021)
Artificial Intelligence for Cold Regions (AI-CORE) - a Pilot to bridge Data Analytics and Infrastructure Development ,
Data Science Symposium, 22 January 2021 - 22 January 2021 .
hdl:10013/epic.f74b496c-0aa1-47a8-83ef-222f68297f0e
[thumbnail of AI_Core_DSS_final_v2.pdf]
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Conference -Invited talk
Dietz, A. , Heidler, K. , Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Dinter, T. , Hajnsek, I. , Baumhoer, C. , Roesel, A. , Phan, L. D. ORCID: https://orcid.org/0000-0002-4947-1116, Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141, Zhu, X. X. , Mou, L. , Scheinert, M. , Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791, Parrella, G. , Christmann, J. ORCID: https://orcid.org/0000-0002-5044-1192, Loebel, E. and Humbert, A. ORCID: https://orcid.org/0000-0002-0244-8760 (2020)
Developing Artificial Intelligence methods for addressing major challenges in cryosphere research: The AI-CORE project ,
AGU Fall Meeting 2020, Virtual/Online, 1 December 2020 - 17 December 2020 .
hdl:10013/epic.00e1ad9f-a2d5-4492-92b3-8151dcd24034

Conference -Paper
Nitze, I. ORCID: https://orcid.org/0000-0002-1165-6852, Heidler, K. , Barth, S. , Bernhard, P. , Maier, K. and Grosse, G. ORCID: https://orcid.org/0000-0001-5895-2141
Towards a Deep-Learning based Inventory of Retrogressive Thaw Slumps across the Arctic
hdl:10013/epic.50af589f-378c-4b89-b7ad-9a68641063e7
[thumbnail of INitze_AGU2022.pdf]
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This list was generated on Thu Nov 21 23:14:02 2024 UTC.