TU2.P6.1
TRANSFORMER-BASED SPATIO-TEMPORAL CHANGE DETECTION NETWORK USING SATELLITE IMAGE TIME SERIES: A CASE STUDY OF FOREST DISTURBANCE IN TRENTINO, ITALY FOLLOWING THE VAIA STORM
Khatereh Meshkini, Francesca Bovolo, Fondazione Bruno Kessler, Italy
Session:
TU2.P6: Satellite Image Time Series Analysis Oral
Track:
Data Analysis
Location:
Room P6
Presentation Time:
Tuesday, 5 August, 10:30 - 10:45
Presentation
Discussion
Resources
No resources available.
Session TU2.P6
TU2.P6.1: TRANSFORMER-BASED SPATIO-TEMPORAL CHANGE DETECTION NETWORK USING SATELLITE IMAGE TIME SERIES: A CASE STUDY OF FOREST DISTURBANCE IN TRENTINO, ITALY FOLLOWING THE VAIA STORM
Khatereh Meshkini, Francesca Bovolo, Fondazione Bruno Kessler, Italy
TU2.P6.2: TOPOFORMER: INTEGRATING TRANSFORMERS AND CONVLSTMS FOR COASTAL TOPOGRAPHY PREDICTION
Santosh Munian, Oktay Karakus, Cardiff University, United Kingdom; William Russell, Gwyn Nelson, Wales Coastal Monitoring Centre, United Kingdom
TU2.P6.3: AUTOMATED UNDERWATER SHOAL IDENTIFICATION USING TIME-SERIES SAR
Elliot Hansen, Brian Ng, University of Adelaide, Australia; Alvin Goh, Mark Preiss, Defence Science and Technology Group, Australia
TU2.P6.4: KERNEL-BASED EARLY DETECTION OF FOREST BARK BEETLE ATTACK USING VEGETATION INDICES TIME SERIES OF SENTINEL-2
Sadegh Jamali, Per-Ola Olsson, Mitro Müller, Arsalan Ghorbanian, Lund University, Sweden
TU2.P6.5: ESTIMATING FOREST ABOVEGROUND BIOMASS IN TROPICAL FORESTS WITH LANDSAT TIME-SERIES DATA AND RECURRENT NEURAL NETWORK
Qian Zhang, Qile Zhuo, Lanzhou Jiaotong University, China
Resources
No resources available.