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.5.1: ECOSYSTEMS - SOLID EARTH & DISASTER REDUCTION
| |||||||||||||
Presentations | |||||||||||||
14:00 - 14:08
ID: 117 / P.5.1: 1 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing A Multi-Temporal Polarimetric SAR Classification Method Based on Power Data Representation Model 1Remote Sensing Technology Institute, Beijing University of Chemical Technology, Beijing, P.R.China; 2Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, P.R.China 14:08 - 14:16
ID: 128 / P.5.1: 2 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing An Improved Atmospheric Delay Correction Method for Active Landslides Detection 1Aerospace Information Research Institute, Chinese Academy of Sciences, China; 2School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, China
14:16 - 14:24
ID: 160 / P.5.1: 3 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing Polarimetric Calibration Method and Characteristics Analysis Based on Sentinel-1A and Gaofen-3C Dual-Polarization TOPSAR Data 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, P.R. China; 2University of Chinese Academy of Sciences, Beijing 100049, P.R. China; 3Remote Sensing Technology Institute, Beijing University of Chemical Technology, Beijing 100029, P.R. China
14:24 - 14:32
ID: 162 / P.5.1: 4 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing An Improved Multi-Aspect PolSAR Anisotropic Scattering Detection Method Based on DRIA Framework 1Aerospace Information Research Institute, China, People's Republic of; 2Remote Sensing Technology Institute, Beijing University of Chemical Technology, Beijing 100029, P.R. China 14:32 - 14:40
ID: 208 / P.5.1: 5 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing An Improved Autofocus Method for Correcting Phase Errors of Tomographic SAR IFRIT, Chinese Academy of Forestry, China, People's Republic of
14:40 - 14:48
ID: 211 / P.5.1: 6 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing Canopy Backscatter Estimation Based on Improved Ground Cancellation Method Institute of Forest Resources Information Technique, Chinese Academy of Forestry, China, People's Republic of
14:48 - 14:56
ID: 246 / P.5.1: 7 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing Novel Bayesian Approach Based on Infinite State Markov Chains for Prompt Detection of Forest Loss Using Sentinel-1 Times Series 1TéSA, Toulouse, France; 2ISAE Supaero, Toulouse, France; 3CNES, Toulouse, France; 4CESBIO, Toulouse, France; 5GlobEO, Toulouse, France
14:56 - 15:04
ID: 258 / P.5.1: 8 Dragon 5 Poster Presentation Ecosystem: 59307 - 3-D Characterization and Temporal Analysis of Forests and Vegetated Areas Using Time-Series of Polarimetric SAR Data and Tomographic Processing Parcel-Oriented Crop Types and Their Phenological Phases Identification Using Multi-Temporal Polarization SAR Datasets 1Southwest Forestry University, China, People's Republic of; 2Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China; 3China geological survey kunming general survey of natural resources center, Kunming, Yunnan, China
15:04 - 15:12
ID: 287 / P.5.1: 9 Dragon 5 Poster Presentation Ecosystem: 59358 - CEFO: China-Esa Forest Observation Individual Tree Level AGB Model for Different Tree Species in China and European Based on UAV LiDAR 1Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, China, People's Republic of; 2Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration
15:12 - 15:20
ID: 207 / P.5.1: 10 Dragon 5 Poster Presentation Ecosystem: 59313 - Grassland Degradation Detection and Assessment by RS Identifying And Interpreting The Drivers of Grassland Degradation in Xilingo, China 1Inner Mongolia Normal University, China; 2Institute of Forest Resource Information Techniques, CAF; 3Institute of Geographic Sciences and Natural Resources Research,CAS
15:20 - 15:28
ID: 297 / P.5.1: 11 Dragon 5 Poster Presentation Ecosystem: 59313 - Grassland Degradation Detection and Assessment by RS The Potential Of Using Very High Resolution Satellite Images For Grassland Degradation Monitoring University of Leeds, United Kingdom
15:28 - 15:36
ID: 296 / P.5.1: 12 Dragon 5 Poster Presentation Ecosystem: 59313 - Grassland Degradation Detection and Assessment by RS The Potential for Using Image Fusion to Monitor Grassland Degradation University of Leeds, United Kingdom
15:36 - 15:44
ID: 249 / P.5.1: 13 Dragon 5 Poster Presentation Solid Earth: 56796 - Integration of Multi-Source RS Data to Detect and Monitoring Large and Rapid Landslides and Use of Artificial Intelligence For Cultural Heritage Preservation Landslide Susceptibility Mapping Validated by Deformation: a Case Study of Gilgit Segment of North of Pakistan 1School of Marine Science and Engineering, Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China;; 2China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China.
15:44 - 15:52
ID: 288 / P.5.1: 14 Dragon 5 Poster Presentation Solid Earth: 56796 - Integration of Multi-Source RS Data to Detect and Monitoring Large and Rapid Landslides and Use of Artificial Intelligence For Cultural Heritage Preservation Towards Improved Vineyard Water Management: Integrating SAR and Optical Remote Sensing for Soil Moisture Prediction UTAD, Portugal
|
Contact and Legal Notice · Contact Address: Privacy Statement · Conference: 2024 Dragon Symposium |
Conference Software: ConfTool Pro 2.6.149+TC © 2001–2024 by Dr. H. Weinreich, Hamburg, Germany |