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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview

Session

10.6: Remote sensing (2)

Time:

Wednesday, 11/Sept/2024:

9:45am - 11:00am

Session Chair: Alessandra Romolo

Location: Room F - MEDITERRANEUM

First floor of Pontificia Università Gregoriana - Piazza della Pilotta, 4

Presentations

9:45am - 10:00am

Can we reliably extract Shorelines from Cloud-Contaminated Satellite Images: the Application of SAR-Optical Fusion Method

Yongjing Mao, Kristen Splinter

UNSW, Australia

258-Mao-Can we reliably extract Shorelines from Cloud-Contaminated Satellite Images.pdf

10:00am - 10:15am

Evaluating space based remote sensing algorithms for Arctic shoreline detection

Katherine Roxanne DeVore, Dylan Anderson, Katherine Brodie

Coastal and Hydraulics Laboratory, U.S. Army Engineer Research and Development Center, United States of America

672-DeVore-Evaluating space based remote sensing algorithms for Arctic shoreline detection.pdf

10:15am - 10:30am

Uncorrected satellite derived shoreline assimilation in equilibrium shoreline model

Georgios Azorakos¹, Bruno Castelle¹, Vincent Marieu¹, Déborah Idier², Kristen D. Splinter³

¹Université de Bordeaux, France; ²BRGM; ³Water Research Laboratory, UNSW Sydney

699-Azorakos-Uncorrected satellite derived shoreline assimilation.pdf

10:30am - 10:45am

Global shoreline forecasting using satellite-derived data and interpretable Machine Learning

Mahmoud Al Najar^1,2, Rafael Almar², Grégoire Thoumyre.², Erwin W. J. Bergsma³, Jean-Marc Delvit³, Dennis G. Wilson¹

¹ISAE-SUPAERO, University of Toulouse; ²LEGOS (CNES/CNRS/IRD/UT3), University of Toulouse; ³Earth Observation Lab, The French Space Agency (CNES)

927-Al Najar-Global shoreline forecasting using satellite-derived data and interpretable Machine.pdf

10:45am - 11:00am

AUTOMATIC SHORELINE EXTRACTION FROM SAR IMAGERY USING DeepLabv3+

Lianhui Wu¹, Sho Ishikawa², Daisuke Inazu¹, Tsuyoshi Ikeya¹, Akio Okayasu¹

¹Tokyo Univerisity of Marine Science and Technology, Japan; ²rinna Co., Ltd., Japan

326-Wu-AUTOMATIC SHORELINE EXTRACTION FROM SAR IMAGERY USING DeepLabv3.pdf