elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

The AI-CORE Project - Artificial Intelligence for Cold Regions

Dietz, Andreas and Baumhoer, Celia and Heidler, Konrad and Mou, LiChao and Nitze, Ingmar and Scheinert, Mirko and Fischer, Georg and Hajnsek, Irena and Christmann, Julia and Roesel, Anja and Loebel, Erik and Long, Duc Phan and Dinter, Tilman and Humbert, Angelika and Grosse, Guido and Zhu, Xiao Xiang (2022) The AI-CORE Project - Artificial Intelligence for Cold Regions. European Geosciences Union (EGU) General Assembly, 2022-05-23 - 2022-05-27, Vienna, Austria. doi: 10.5194/egusphere-egu22-3446.

Full text not available from this repository.

Official URL: https://meetingorganizer.copernicus.org/EGU22/EGU22-3446.html

Abstract

Artificial Intelligence for Cold Regions (AI-CORE) is a collaborative approach for applying Artificial Intelligence (AI) methods in the field of remote sensing of the cryosphere. Several research institutes (German Aerospace Center, Alfred-Wegener-Institute, Technical University Dresden) bundled their expertise to jointly develop AI-based solutions for pressing geoscientific questions in cryosphere research. The project addresses four geoscientific use cases such as the change pattern identification of outlet glaciers in Greenland, the object identification in permafrost areas, the detection of calving fronts in Antarctica and the firn-line detection on glaciers. Within this presentation, the four AI-based final approaches for each addressed use case will be presented and exemplary results will be shown. Further on, the implementation of all developed AI-methods in three different computer centers was realized and the lessons learned from implementing several ready-to-use AI-tools in different processing infrastructures will be discussed. Finally, a best-practice example for sharing AI-implementations between different institutes is provided along with opportunities and challenges faced during the present project duration.

Item URL in elib:https://elib.dlr.de/187150/
Document Type:Conference or Workshop Item (Speech)
Title:The AI-CORE Project - Artificial Intelligence for Cold Regions
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Dietz, AndreasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Baumhoer, CeliaUNSPECIFIEDhttps://orcid.org/0000-0003-1339-2288UNSPECIFIED
Heidler, KonradUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mou, LiChaoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Nitze, IngmarUNSPECIFIEDhttps://orcid.org/0000-0002-1165-6852UNSPECIFIED
Scheinert, MirkoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fischer, GeorgUNSPECIFIEDhttps://orcid.org/0000-0002-7987-5453UNSPECIFIED
Hajnsek, IrenaUNSPECIFIEDhttps://orcid.org/0000-0002-0926-3283UNSPECIFIED
Christmann, JuliaAlfred-Wegener-InstitutUNSPECIFIEDUNSPECIFIED
Roesel, AnjaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Loebel, ErikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Long, Duc PhanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dinter, TilmanAlfred-Wegener-InstitutUNSPECIFIEDUNSPECIFIED
Humbert, AngelikaAlfred Wegener Institute for Polar and Marine Research, Bremerhaven, GermanyUNSPECIFIEDUNSPECIFIED
Grosse, GuidoAlfred-Wegener-Institut, Potsdamhttps://orcid.org/0000-0001-5895-2141UNSPECIFIED
Zhu, Xiao XiangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:May 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.5194/egusphere-egu22-3446
Status:Published
Keywords:AI, cold regions, deep learning
Event Title:European Geosciences Union (EGU) General Assembly
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:23 May 2022
Event End Date:27 May 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research, R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Remote Sensing Technology Institute > EO Data Science
Microwaves and Radar Institute > Radar Concepts
Deposited By: Baumhoer, Dr. Celia
Deposited On:04 Jul 2022 13:43
Last Modified:24 Apr 2024 20:48

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.