Conference Agenda
Overview and details of the sessions for this conference. Please select a date and a session for detailed view (with abstracts and downloads if available).
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Session Overview |
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P.6.2: SUSTAINABLE AGRICULTURE - URBAN & DATA ANALYSIS
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16:00 - 16:08
ID: 222 / P.6.2: 1 Dragon 5 Poster Presentation Sustainable Agriculture and Water Resources: 57457 - Application of Sino-Eu Optical Data into Agronomic Models to Predict Crop Performance and to Monitor and Forecast Crop Pests and Diseases Leveraging Domain Adaptation Techniques In Hybrid Approaches For Vegetation Property Retrieval From Hyperspectral Data 1Aerospace Engineering School (SIA), University of Rome La Sapienza, Via Salaria 851, 00138 Roma, Italy,; 2Institute of Methodologies for Environmental Analysis, Tito Scalo, Italy; 3Aerospace Information Research Institute, Chinese Academy of Sciences, 100094 Beijing, China; 4Department of Agriculture and Forest Sciences (DAFNE), University of Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy; 5National Engineering Research Center for Information Technology in Agriculture, 100097 Beijing, China; 6College of Geodesy and Geomatics, Shandong University of Science and Technology, 266590 Qingdao, China 16:08 - 16:16
ID: 244 / P.6.2: 2 Dragon 5 Poster Presentation Sustainable Agriculture and Water Resources: 57457 - Application of Sino-Eu Optical Data into Agronomic Models to Predict Crop Performance and to Monitor and Forecast Crop Pests and Diseases A 500-meter High-resolution Long-term Winter Wheat aboveground biomass Dataset for China (2009-2023) from Multi-source Data 1Shandong University of Science and Technology, Qingdao 266590, China; 2Institute of Methodologies for Environmental Analysis (lMAA), National Council of Research (CNR), C. da S. Loja, 85050 Tito Scalo, Italy; 3School of Aerospace Engineering (SlA), University of Rome "La Sapienza", SlA, via Salaria, 851, 00138 Roma, Italy; 4DAFNE, Università della Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy; 5Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/Key Laboratory of Crop Physiology and Ecology, Ministry of Agriculture and Rural Affairs, Beiing 100081, China
16:16 - 16:24
ID: 255 / P.6.2: 3 Dragon 5 Poster Presentation Sustainable Agriculture and Water Resources: 57457 - Application of Sino-Eu Optical Data into Agronomic Models to Predict Crop Performance and to Monitor and Forecast Crop Pests and Diseases A Spatiotemporal Mining Method For Monitoring Pine Wilt Disease In A Complex Landscape Using High-Resolution Remote Sensing Imagery 1Aerospace Information Research Institute, Chinese Academy of Science, China, People's Republic of; 2Institute of Methodologies for Environmental Analysis, National Research Council, Italy; 3Department of Agriculture and Forest Sciences, University of Tuscia, Italy; 4Aerospace Engineering School, University of Rome La Sapienza, Italy; 5National Engineering Research Center for Information Technology in Agriculture, China
16:24 - 16:32
ID: 133 / P.6.2: 4 Dragon 5 Poster Presentation Sustainable Agriculture and Water Resources: 57457 - Application of Sino-Eu Optical Data into Agronomic Models to Predict Crop Performance and to Monitor and Forecast Crop Pests and Diseases A Method that Combines Sample Data and Non-sample Data for Wheat Fusarium Head Blight Monitoring 1Aerospace Information Research Institute, Chinese Academy of Sciences, China; 2Institute of Methodologies for Environmental Analysis, National Research Council, Italy; 3Aerospace Engineering School, Sapienza University of Rome, Italy; 4Dipartimento di Produzione Vegetale, Università degli Studi della Tuscia, Italy; 5College of Geodesy and Geomatics, Shandong University of Science and Technology, China 16:32 - 16:40
ID: 219 / P.6.2: 5 Dragon 5 Poster Presentation Data Analysis: 58190 - Large-Scale Spatial-Temporal Analysis For Dense Satellite Image Series With Deep Learning Enhanced Agricultural Parcel Segmentation Through Multi-Modal Satellite Image Time Series Prediction National University of Science and Technology Politehnica Bucharest, Romania
16:40 - 16:48
ID: 224 / P.6.2: 6 Dragon 5 Poster Presentation Data Analysis: 58190 - Large-Scale Spatial-Temporal Analysis For Dense Satellite Image Series With Deep Learning Estimation of Parameters of Constanta Area, Romania, Using Coherent Processing of Dense Multi-Temporal Sentinel-1 Dataset 1University Politehnica of Bucharest, Romania; 2National Research Council of Italy; 3German Aerospace Centre 16:48 - 16:56
ID: 144 / P.6.2: 7 Dragon 5 Poster Presentation Data Analysis: 58393 - Big Data intelligent Mining and Coupling Analysis of Eddy and Cyclone SLA-Based Orthogonal Parallel Detection of Global Rotationally Coherent Lagrangian Vortices 1Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao, China; 2Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China; 3Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China
16:56 - 17:04
ID: 196 / P.6.2: 8 Dragon 5 Poster Presentation Urbanization and Environment: 58897 - EO Services For Climate Friendly and Smart Cities Assessment of Urban Expansion and Its Implications on Thermal Risk Using Machine Learning in the Google Earth Engine Platform. National and Kapodistrian University of Athens, Greece 17:04 - 17:12
ID: 132 / P.6.2: 9 Dragon 5 Poster Presentation Urbanization and Environment: 59333 - EO-AI4Urban: EO Big Data and Deep Learning For Sustainable and Resilient Cities Cross-Modal Hashing with Feature Semi-Interaction and Semantic Ranking for Remote Sensing Ship Image Retrieval 1Harbin Institute of Technology, Shenzhen, China, People's Republic of; 2KTH Royal Institute of Technology
17:12 - 17:20
ID: 157 / P.6.2: 10 Dragon 5 Poster Presentation Urbanization and Environment: 59333 - EO-AI4Urban: EO Big Data and Deep Learning For Sustainable and Resilient Cities Integrating SDGSAT-1 with Sentinel-1/2 data for High-Resolution Building Height Estimation with a Deep Learning Framework Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of 17:20 - 17:28
ID: 193 / P.6.2: 11 Dragon 5 Poster Presentation Urbanization and Environment: 59333 - EO-AI4Urban: EO Big Data and Deep Learning For Sustainable and Resilient Cities Change detection within Urban Areas using Multi-temporal SAR Sequences from Heterogeneous Sensors 1University of Pavia, Italy; 2Nantong University, China
17:28 - 17:36
ID: 257 / P.6.2: 12 Dragon 5 Poster Presentation Urbanization and Environment: 59333 - EO-AI4Urban: EO Big Data and Deep Learning For Sustainable and Resilient Cities Urban Mapping and Change Detection using Multi-Modal Earth Observation Data Division of Geoinformatics, KTH Royal Institute of Technology, Teknikringen 10a, 114 28 Stockholm, Sweden 17:36 - 17:44
ID: 161 / P.6.2: 13 Dragon 5 Poster Presentation Urbanization and Environment: 59333 - EO-AI4Urban: EO Big Data and Deep Learning For Sustainable and Resilient Cities PASSNet: A Spatial-Spectral Feature Extraction Network for Hyperspectral Images Classification in Megacity Blue-Green Space 1Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China; 2Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities (Ministry of Natural Resources), East China Normal University, Shanghai 200241, China; 3School of Geographic Sciences, East China Normal University, Shanghai 200241, China
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