Session outline
| Atmospheric and Hydrospheric Sciences (A) | ||
|---|---|---|
| Session Sub-category | Technology &Techniques(TT) | |
| Session ID | A-TT50 | |
| Title | Soil and Water Monitoring through Innovative Sensing Technologies under Climate Change | |
| Short Title | Soil Water Monitoring | |
| Main Convener | Name | Wendi Wang |
| Affiliation | Department of Land, Environment, Agriculture and Forestry, University of Padova, | |
| Co-Convener 1 | Name | Eugenio Straffelini |
| Affiliation | Department of Land, Environment, Agriculture and Forestry, University of Padova, 35020 Legnaro, PD, Italy | |
| Co-Convener 2 | Name | Fangxin Chen |
| Affiliation | 8.61851E+12 | |
| Co-Convener 3 | Name | Sara Cucchiaro |
| Affiliation | University of Udine, Department of Agricultural, Food, Environmental and Animal Sciences | |
| Co-Convener 4 | Name | Manel Llena |
| Affiliation | University of Lleida | |
| Co-Convener 5 | Name | Paolo Tarolli |
| Affiliation | University of Padova | |
| Session Language |
E |
|
| Scope |
Climate extremes and unsustainable land use are disrupting soil and water systems, accelerating degradation, and threatening food and water security, addressing these issues requires continuous monitoring and integration of multi scale data, advances in sensing technologies, artificial intelligence AI, and data analytics offer new ways to observe Earth surface processes, improve predictions, and understand soil water interactions. This session invites studies developing or applying innovative sensing and monitoring approaches for soil and soil water dynamics across spatial and temporal scales, contributions using in situ sensors, UAVs, airborne platforms, or satellite data are welcome, as well as studies integrating multiple geospatial datasets such as LiDAR, photogrammetry, and remote sensing for modelling and scenario analysis under changing environmental conditions. Topics include but not limited : Proximal and remote sensing for soil and water monitoring Multi source data fusion and integration AI and machine learning in soil water studies Linking sensing data with models Decision support tools based on sensing and modelling. Interdisciplinary and early career contributions are encouraged. |
|
| Presentation Format | Oral and Poster presentation | |
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 25 PM2 | |||
| 15:30 - 15:45 | ATT50-01 | A FRAMEWORK FOR DATUM HARMONISATION AND BIAS CORRECTION OF SWOT RIVER WATER LEVEL OBSERVATIONS IN INDIA | Ivana Rose Thomas |
| 15:45 - 16:00 | ATT50-02 | Improving Model Reliability through Data Quality Enhancement of High-Frequency River Monitoring Data. | Su Han Nam |
| 16:00 - 16:15 | ATT50-03 | High-Frequency Soft Sensor Based on Integrated Multi-Sensor Data for Pollutant Load Estimation. | Yejin Lee |
| 16:15 - 16:30 | ATT50-04 | Hybrid SWAT-ANN Modeling of Climate-Driven Changes in Streamflow and Sediment Yield: Manjira River Basin, India | SACHIN Kumar |
| 16:30 - 16:45 | ATT50-05 | Integrating High-Resolution Spatial Information for Advanced River Flow Analysis | Changhyun Lee |
| 16:45 - 17:00 | ATT50-06 | Exploring peatlands ground motion through MT-InSAR: Insights from case studies in England and Japan | Lisa Beccaro |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 25 PM3 | ||
| ATT50-P01 | Assessment of the T–C Diagram Method for Analyzing River Mixing Behavior | Donghyeon Kim |
| ATT50-P02 | Extending the Measurable Range of LISST-200X for High-Turbidity Conditions Using a Path Reduction Module | Gwangmin Ok |
| ATT50-P03 | A Review of regional and international meteorological networks offering soil moisture sensors and a review of the analytical methodology | Maruta Kyohei |
| ATT50-P04 | Remote sensing and multi-platform topography for soil–water hazard monitoring in terraced cultural landscapes | Eugenio Straffelini |
| ATT50-P05 | Environmental Risk Evaluation of Riverfront Floodplains Considering Erosion–Deposition Processes and Vegetation Dynamics | Sangung Lee |
| ATT50-P06 | Characterizing River Stratification Dynamics Using High-Resolution In-Situ Measurements | SooBin Yoon |
| ATT50-P07 | Evaluating Evaporation Reduction in Agricultural Ponds Using Shelter Net Covers | Wendi Wang |