TH4.R7: Urban Mapping and Monitoring
Thu, 11 Jul, 17:20 - 19:00
Location: MC 3 Hall
Session Type: Oral
Session Chair: Johannes H. Uhl, European Commission
Track: Land Applications
Thu, 11 Jul, 17:20 - 17:34

TH4.R7.1: DAM MONITORING WITH GROUND MOTION SERVICES – A CASE STUDY OF A GRAVITY DAM WITH THE GERMAN GROUND MOTION SERVICE
Clémence Dubois, Jonas Ziemer, Jannik Jänichen, Natascha Stumpf, Christoph Liedel, Friedrich Schiller University Jena, Germany; Michael Sabrowski, Thüringer Fernwasserversorgung, Germany; Christiane Schmullius, Friedrich Schiller University Jena, Germany
Thu, 11 Jul, 17:34 - 17:48

TH4.R7.2: A NOVEL DEEP LEARNING PROSPECTIVE URBAN GROWTH MODEL APPLIED TO MULTISPECTRAL SATELLITE DATA OVER THE CITY OF CORDOBA, ARGENTINA
María Sol Villella, Instituto Gulich, Argentina; Paolo Gamba, University of Pavia, Italy
Thu, 11 Jul, 17:48 - 18:02

TH4.R7.3: Improving Urban Tree Species Classification with High Resolution Satellite Imagery and Machine Learning
Romain Wenger, Clément Bressant, Lucie Roettele, LIVE CNRS UMR7362, France; Germain Forestier, IRIMAS UR 7499, France; Anne Puissant, LIVE CNRS UMR7362, France
Thu, 11 Jul, 18:02 - 18:16

TH4.R7.4: FROM EUROPEAN GROUND MOTION SERVICE TO DIFFERENTIAL DEFORMATION MAP FOR BUILDINGS
Saeedeh Shahbazi, Anna Barra, Riccardo Palamà, Michele Crosetto, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Spain
Thu, 11 Jul, 18:16 - 18:30

TH4.R7.5: LAND VALUATION USING AN INNOVATIVE MODEL COMBINING MACHINE LEARNING AND SPATIAL CONTEXT
Feride Tanrikulu, Timothy Haithcoat, Grant Scott, Matthew Foulkes, Ilker Ersoy, University of Missouri, United States
Thu, 11 Jul, 18:30 - 18:44

TH4.R7.6: URBAN LAND-USE CLASSIFICATION WITH MULTI-SOURCE SELF-SUPERVISED REPRESENTATION LEARNING AND CORRELATION MODELING
Ruiyi Yang, Wuhan University, China; Yu Su, Information Engineering University, China; Yanfei Zhong, Wuhan University, China
Thu, 11 Jul, 18:44 - 18:58

TH4.R7.7: TOWARDS A QUASI-GLOBAL ACCURACY ASSESSMENT OF BUILT-UP SURFACE ESTIMATES DERIVED FROM SENTINEL-2 MULTISPECTRAL DATA
Johannes H. Uhl, Martino Pesaresi, European Commission, Italy; Panagiotis Politis, Katarzyna Goch, European Dynamics S.A., Belgium; Michele Melchiorri, Thomas Kemper, European Commission, Italy