Human Geosciences (H)
Session Sub-category Technology & Techniques(TT)
Session ID H-TT14
Title HIGH-DEFINITION TOPOGRAPHIC AND GEOGRAPHIC DATA FOR EARTH SURFACE CONNECTIVITY
Short Title HD-TOPO FOR EARTH SURF CONNECTIVITY
Main Convener Name Yuichi S. Hayakawa
Affiliation Faculty of Environmental Earth Science, Hokkaido University
Co-Convener 1 Name Candide Lissak
Affiliation Universite de Rennes
Co-Convener 2 Name Takuro Ogura
Affiliation Graduate School of Education, Hyogo University of Teacher Education
Co-Convener 3 Name Christopher A Gomez
Affiliation Kobe University Faculty of Maritime Sciences Volcanic Risk at Sea Research Group
Session Language
E
Scope
Recent technical developments have enabled us to acquire high-definition topographic and geophysical data for geoscientific research, including land surface processes, subsurface structures, submarine/aerial environments, and geo-ecological interactions. Such high-definition or high-resolution data of the Earth's surface, hereby referred to as HiMESD (High-definition Multilayered Earth Surface Data), are particularly useful for studies on landscape developments over relatively short-term (decadal to millennial time scales), which are often assessed with the concept of connectivity in spatial and temporal contexts. HiMESD from the ground, airborne, and sometimes satellite platforms has become ubiquitous in everyday life, while it plays a central role in quantifying and understanding multiple "connectivity" such as sediment, geomorphic, hydrological, and ecological connectivity. HiMESD at various scales, from the micro-scale of rock weathering to the macro-scale spanning several tens of kilometers of fault lines. 
In this session, we invite submissions on topics that challenge the issues of connectivity in the modern Earth surface environment, including the Anthropocene. A range of topics would fit the session framework, including theoretical work, data acquisition, pre- and post-processing, extensive data preservation and archiving, geostatistical analysis, physical modeling, artificial intelligence (machine learning or deep learning), and numerical simulation. The methodological approaches may include, but are not limited to, laser scanning (Lidar), photogrammetry (SfM), GNSS precise positioning, SAR interferometry, multi-beam sonar, ground-penetrating radar, geomagnetic/electromagnetic sensors, and multi/hyperspectral sensors, based on terrestrial (fixed or mobile), aerial (UAS/UAV or manned airborne), or satellite platforms.
Presentation Format Oral and Poster presentation
Joint Session with EGU
Invited Authors Yasutaka Nakata (Graduate School of Life and Environmental Sciences, Kyoto Prefectural University)
Yuka Ito (Osaka Metropolitan University )
Time Presentation No Title Presenter
Oral Presentation May 29 PM2
15:30 - 15:45 HTT14-01 Watershed characteristics influencing volume changes in sandy coasts of Japan Yasutaka Nakata
15:45 - 16:00 HTT14-02 Assessing watershed environments from mountainous areas to coastal zones and estimating sediment and large wood debris volumes by considering forest and landscape metrics Haruto Kitano
16:00 - 16:15 HTT14-03 Co-seismic Landslides of the January 1st 2024 Earthquake - Noto Peninsula, Japan from LiDAR and UAV Photogrammetry Christopher A Gomez
16:15 - 16:30 HTT14-04 Comparative study of laser and photogrammetric surveying using multi-rotor UAV in coniferous forest zones Tatsuji Nishizawa
16:30 - 16:45 HTT14-05 A WL-assisted unified DISB-fixed method for RTK positioning in severe constrained observational conditions Huai-Chian Hsu
16:45 - 17:00 HTT14-06 Comparative analysis on topographic measurement methods for active rocky slopes in Täschgufer, Switzerland Yuichi S. Hayakawa
Presentation No Title Presenter
Poster Presentation May 29 PM3
HTT14-P01 Reexamination of the Late Holocene Crustal Deformation in Yaeyama Islands using Notches Noriaki Mori
HTT14-P02 Topographic changes based on LiDAR data during 2008-2022: A case study of the South Kujukuri Plain, Chiba, Japan Yuka Ito
HTT14-P03 Developing 3D environmental data utilization platform in Human Geosciences: A preview Yuichi S. Hayakawa