MOP1.PX: Advances in Machine Learning for Agricultural Land Use and Land Cover Classification I
Monday, 4 August, 14:15 - 15:45
Location: Poster Area
Session Type: Poster
Session Chair: Kathryn Sheffield, Department of Energy, Environment and Climate Action
Track: Community-Contributed Sessions
Poster Area

MOP1.PX.1: Evaluating Dataset Stratification and Uncertainty in Land Cover/Use Classification: Insights from Entropy Analysis
Piero Toscano, National Research Council, Italy; Michele Rinaldi, Sergio Ruggieri, Council for Agricultural Research and Economics, Italy; Alessandro Matese, National Research Council, Italy; Youg-Sin Cheng, Miguel Valdez, Chi-Farn Chen, Nguyen-Thanh Son, National Central University, Taiwan
Poster Area

MOP1.PX.2: IUCN GET Classification Criteria and Designation of Natural Ecosystem Boundaries using Remote Sensing Technology
Haedam Baek, Kyungil Lee, Seonyoung Park, Seoul National University of Science and Technology, Korea (South)
Poster Area

MOP1.PX.3: MONITORING DIGESTATE APPLICATION ON AGRICULTURAL CROPS USING SENTINEL-2 SATELLITE IMAGERY
Andreas Kalogeras, Dimitrios Bormpoudakis, Iason Tsardanidis, National Observatory of Athens, Greece; Dimitra A. Loka, Hellenic Agricultural Organization (ELGO), Greece; Charalampos Kontoes, National Observatory of Athens, Greece
Poster Area

MOP1.PX.4: PROMPTABLE BUILDING SEGMENTATION WITH THE SEGMENT ANYTHING MODEL
Ngoc An Bui, Jangwoo Cheon, Inhyuk Lee, Chong Lee, Juhee Lee, Impyeong Lee, University of Seoul, Korea (South)
Poster Area

MOP1.PX.5: FIELD BY FIELD: MOVING FROM AREA-BASED METRICS TO INSTANCE-LEVEL AGRICULTURAL PARCEL ASSESSMENT
Quentin Yeche, Atos France Technical Services, France; Dino Ienco, Raffaele Gaetano, UMR Tetis, France
Poster Area

MOP1.PX.6: Machine Learning-Based Land Use Classification and Long-Term Projections for Sustainable Resource Management in the Semi-Arid Downstream Merguellil Sub-Basin, Tunisia
Hajer Ataallah, Ines Oueslati, Institut national agronomique de Tunisie, Tunisia; Michel Le Page, University of Toulouse, Center of Spatial studies of the Biosphere, Tunisia; Manel Khlif, Zohra Lili Chabaane, Institut national agronomique de Tunisie, Tunisia
Poster Area

MOP1.PX.7: Advancing Agricultural Land Cover Classification through Machine Learning: Optimizing Data Integration and Validation Strategies
Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Yogendra Karna, Kathryn Sheffield, Agriculture Victoria Research, Australia
Poster Area

MOP1.PX.8: The Victorian Land Use Information System (VLUIS): Data Integration and classification approaches to support the provision of a dynamic and accurate dataset.
Andy McAllister, Kathryn Sheffield, Sabah Sabaghy, Mohammad Abuzar, Yogendra Karna, Doug Crawford, Tony Cook, Department of Energy, Environment and Climate Action, Australia