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).

 
 
Session Overview
Session
P.6.2: SUSTAINABLE AGRICULTURE - URBAN & DATA ANALYSIS
Time:
Monday, 24/June/2024:
16:00 - 17:30

Room: Sala 1


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Presentations
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

Francesco Rossi1, Giovanni Laneve1, Stefano Pignatti2, Wenjiang Huang3, Raffaele Casa4, Yingying Dong3, Hao Yang5, Zhenhai Li6, Linyi Liu3, Alvise Ferrari1, Quanjun Jiao3, Biyao Zhang3

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

Shijun Wang1, Stefano Pignatti2, Giovanni Laneve3, Raffaele Casa4, Hao Yang5, Wenjiang Huang5, Linyi Li5, Zhenhai Li1

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

244-Wang-Shijun_Cn_version.pdf


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

Biyao Zhang1, Wenjiang Huang1, Stefano Pignatti2, Raffaele Casa3, Giovanni Laneve4, Yingying Dong1, Quanjun Jiao1, Hao Yang5, Linyi Liu1, Rossi Francesco4

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

255-Zhang-Biyao_Cn_version.pdf


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

Linyi Liu1, Wenjiang Huang1, Stefano Pignatti2, Giovanni Laneve3, Yingying Dong1, Raffaele Casa4, Rossi Francesco2, Zhenhai Li5

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

Vlad-Mihai Vasilescu, Daniela Faur, Mihai Datcu

National University of Science and Technology Politehnica Bucharest, Romania

219-Vasilescu-Vlad-Mihai_Cn_version.pdf


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

Cosmin Danisor1,2, Diego Reale2, Mihai Datcu1,3, Daniela Faur1

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

Fenglin Tian1,2, Mengjiao Wang1, Xiao Liu1,3, Qiu He1, Ge Chen1,2

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

144-Tian-Fenglin_Cn_version.pdf


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.

Stergios Stergiadis, Kostas Philippopoulos, Constantinos Cartalis, Ilias Agathangelidis

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

Yuxi Sun1, Yunming Ye1, Xutao Li1, Yifang Ban2

1Harbin Institute of Technology, Shenzhen, China, People's Republic of; 2KTH Royal Institute of Technology

132-Sun-Yuxi_Cn_version.pdf


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

Zilu Li, Linlin Lu, Huadong Guo, Qi Zhu, Dong Liang

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

Paolo Gamba1, Luigi Russo1, Meiqin Che2

1University of Pavia, Italy; 2Nantong University, China

193-Gamba-Paolo_Cn_version.pdf


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

Sebastian Hafner, Yifang Ban

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

Renjie Ji1,2,3, Xue Wang1,2,3, Yuling Zhou1,2,3, Kun Tan1,2,3

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

161-Ji-Renjie_Cn_version.pdf


 
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