WE4.R8.2
CLOUD-NATIVE EO ML PIPELINES: REPRODUCIBLE STAC-TO-GPU WORKFLOWS WITH HIGH-THROUGHPUT INGESTION FOR FINE-TUNING
Campbell Gregor, Tishampati Dhar, CSIRO, Australia
Session:
WE4.R8: Datasets, Benchmarks and Standards for Scalable, Data-centric and Trustworthy Earth Observation AI Oral
Track:
Community Contributed Themes
Location:
Embassy
Presentation Time:
Wednesday, 12 August, 16:30 - 16:45
Session Co-Chairs:
Abhishek Potnis, Oak Ridge National Laboratory and Rajat Shinde, NASA MSFC Office of Data Science and Informatics (ODSI)
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Session WE4.R8
WE4.R8.1: IMPROVING SATELLITE-DERIVED REMOTE SENSING REFLECTANCE USING MULTIPLE LINEAR REGRESSION WITH GLOBAL IN-SITU MATCHUPS
Murat Muhammet Savci, Ugur Alganci, Dursun Zafer Seker, Istanbul Technical University, Türkiye
WE4.R8.2: CLOUD-NATIVE EO ML PIPELINES: REPRODUCIBLE STAC-TO-GPU WORKFLOWS WITH HIGH-THROUGHPUT INGESTION FOR FINE-TUNING
Campbell Gregor, Tishampati Dhar, CSIRO, Australia
WE4.R8.3: SOSeas-Bonn Dataset: A SAR-Based Framework for Oil Spill Detection and Characterization
Patrícia C. Genovez, University of Twente, Netherlands; Ignacio R. Carreño, University of Navarra, Spain; Raian V. Maretto, Claudio Persello, Ling Chang, University of Twente, Netherlands; Guillaume Hajduch, Vincent Kerbaol, Ruben Bleriot, Collecte Localisation Satellites, France; Francisco Ponte, Pontifical Catholic University, Brazil; Cathleen E. Jones, Benjamin Holt, Jet Propulsion Laboratory, United States
WE4.R8.4: DATA-CENTRIC PHENOTYPING UNDER SCALE MISMATCH: A SPECTRAL-SPATIAL SEARCH MODEL
Ashutosh Pawar, Vasit Sagan, Cagri Gul, Felipe A. Lopes, Saint Louis University, United States; Prabesh Koirala, Babu Valliyodan, Lincoln University, United States
WE4.R8.5: TRUSTWORTHY MULTIMODAL EARTH OBSERVATION FOR URBAN DYNAMICS: CHALLENGES AND EVALUATION
Ujwala Bharambe, University of Mumbai, India; Kaushal Patil, University of Southern California, United States; Nagesh Heera, Afjan Jamadar, University of Mumbai, India
Resources
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