TH5.R1.1

Comparative Analysis of Random Forest and U-Net Deep Learning Approaches for Multi-Temporal Sentinel-2 Land Cover Classification

Melih ALTAY, Hacettepe University, Türkiye; Fatih Fehmi SİMSEK, TUBITAK SPACE AGENCY, Türkiye
Session:
TH5.R1: Virtual Poster Session 3 Poster
Track:
Data Analysis Methods
Location:
JASMIN
Presentation Time:
Thu, 23 Apr, 14:30 - 15:00 Morocco Time (UTC +1)
Thu, 23 Apr, 22:30 - 23:00 Japan Time (UTC +9)
Thu, 23 Apr, 13:30 - 14:00 UTC
Thu, 23 Apr, 09:30 - 10:00 New York Time (UTC -4)
Presentation
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Session TH5.R1
TH5.R1.1: Comparative Analysis of Random Forest and U-Net Deep Learning Approaches for Multi-Temporal Sentinel-2 Land Cover Classification
Melih ALTAY, Hacettepe University, Türkiye; Fatih Fehmi SİMSEK, TUBITAK SPACE AGENCY, Türkiye
TH5.R1.2: RURAL-URBAN CONTINUUM MAPPING USING MACHINE LEARNING MODELS AND GEOSPATIAL DATA
Asmaa Moussaoui, Imane Sebari, Kenza Aitelkadi, Department of Cartography and Photogrammetry, School of Geomatics and Surveying Engineering, Agriculture and Veterinary Medicine Institute Hassan II, Morocco
TH5.R1.3: ASSESSMENT OF UAV-BASED STRUCTURE-FROM-MOTION PHOTOGRAMMETRY FOR DETECTING COASTAL BENTHIC HABITATS AND COMPARISON WITH MULTIBEAM BATHYMETRY
Tuğba Kılıç Kaya, Istanbul Technical University, Türkiye; Onur Akyol, The Scientific and Technological Research Council of Türkiye, Türkiye; Reha Metin Alkan, Istanbul Technical University, Türkiye
TH5.R1.4: From Satellite Pixels to Solar Fields: Remote Sensing-Driven CSP Suitability Modelling in Arid Environments
guermoui mawloud, University of Trento, Italy; Abdelfetah Belaid, Centre de Développement des Energies Renouvelables, CDER, Algeria; Abdelkader Riche, University of Florence, Italy; Farid Melgani, University of Trento, Italy
Resources
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