Technical Program

Paper Detail

Paper Title A FULLY AUTOMATIC AND CLOUD-BASED P-SBAS DINSAR PIPELINE FOR SENTINEL-1 PROCESSING
Paper IdentifierTHP1.PS.7
Authors Claudio De Luca, Institute for Electromagnetic Sensing of Environment, Italy; Manuela Bonano, Institute of Methodologies for Environmental Analysis, Italy; Francesco Casu, Michele Manunta, Mariarosaria Manzo, Institute for Electromagnetic Sensing of Environment, Italy; Franz Meyer, University of Alaska Fairbanks, Italy; Giovanni Onorato, Ivana Zinno, Riccardo Lanari, Institute for Electromagnetic Sensing of Environment, Italy
Session Big Data and Machine Learning - Machine Learning for SAR and Meteorology
Location Room 503: Poster Area S
Session Time Thursday, 01 August, 09:40 - 10:40
Presentation Time Thursday, 01 August, 09:40 - 10:40
Presentation Mode Poster
Topic Special Themes: Big data and machine learning