International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-25: Machine Learning Methods in Hazard Assessment
Tue, 13 Jul, 11:00 - 12:10 (UTC)
Tue, 13 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Tue, 13 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Co-Chairs: Fan Meng, China University of Petroleum(East China) and Davide De Santis, University of Rome
Session Manager: Mar Ariza
Track: Special Themes

TU2.MM-25.2: CYCLONE IDENTIFY USING TWO-BRANCH CONVOLUTIONAL NEURAL NETWORK FROM GLOBAL FORECASTING SYSTEM ANALYSIS

Fan Meng, Qingyu Tian, China University of Petroleum(East China), China; Handan Sun, China University of Petroleum, China; Danya Xu, Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), China; Tao Song, China University of Petroleum(East China), China

TU2.MM-25.3: TROPICAL CYCLONE SIZE ESTIMATION USING DEEP CONVOLUTIONAL NEURAL NETWORK

Fan Meng, Pengfei Xie, Ying Li, China University of Petroleum(East China), China; Handan Sun, China University of Petroleum, China; Danya Xu, Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), China; Tao Song, China University of Petroleum(East China), China; ,

TU2.MM-25.4: USE ENSEMBLE LEARNING TO ESTIMATE THE POPULATION AND ASSETS EXPOSED TO TROPICAL CYCLONES

Fan Meng, China University of Petroleum(East China), China; Tongmao Ma, Polytechnical University of Madrid, Spain; Pengfei Xie, China University of Petroleum(East China), China; Handan Sun, China University of Petroleum, China; Danya Xu, Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), China; Tao Song, China University of Petroleum(East China), China

TU2.MM-25.5: VOLCANIC SO2 NEAR-REAL TIME RETRIEVAL USING TROPOMI DATA AND NEURAL NETWORKS: THE DECEMBER 2018 ETNA TEST CASE

Davide De Santis, Ilaria Petracca, University of Rome, Italy; Stefano Corradini, Lorenzo Guerrieri, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Matteo Picchiani, GEO-K s.r.l, Italy; Luca Merucci, Dario Stelitano, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Fabio Del Frate, University of Rome, Italy; Fred Prata, AIRES Pty Ltd, Australia; Giovanni Schiavon, University of Rome, Italy

TU2.MM-25.6: Towards improved forecasting of volcanic hazards using machine learning applied to InSAR data

Andrew Hooper, Matt Gaddes, University of Leeds, United Kingdom; Marco Bagnardi, NASA, United States; Fabien Albino, University of Bristol, United Kingdom

TU2.MM-25.7: A MACHINE LEARNING METHODOLOGY FOR NEXT DAY WILDFIRE PREDICTION

Stella Girtsou, Alexis Apostolakis, National Observatory of Athens, Greece; Giorgos Giannopoulos, Athena Research Center, Greece; Charalampos Kontoes, National Observatory of Athens, Greece

TU2.MM-25.8: SEMI-SUPERVISED PHENOLOGY ESTIMATION IN COTTON PARCELS WITH SENTINEL-2 TIME-SERIES

Vasileios Sitokonstantinou, Alkiviadis Koukos, Charalampos Kontoes, Nikolaos S. Bartsotas, NATIONAL OBSERVATORY OF ATHENS, Greece; Vassilia Karathanassi, National Technical University of Athens, Greece

TU2.MM-25.9: Water Body Detection using Deep Learning with Sentinel-1 SAR satellite data and Land Cover Maps

Hyungyun Jeon, Duk-jin Kim, Junwoo Kim, Seoul National University, Korea (South)