Japanese

Human Geosciences (H)
Session Sub-category Technology & Techniques (TT)
Session ID H-TT14
Session Title HIGH-DEFINITION TOPOGRAPHIC AND GEOGRAPHIC DATA FOR EARTH SURFACE CONNECTIVITY
Short Title HD-TOPO FOR EARTH SURF CONNECTIVITY
Date & Time Oral
Session		 PM2 Thu, 29 MAY
On-site Poster
Coretime		 PM3 Thu. 29 MAY
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 (Session Description) 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.
Session Format Orals and Posters session
Co-sponsorship Partner Union(s) EGU
JpGU Society Member(s) Japanese Geomorphological Union
International Collaborative Society -
Organizations Other Than JpGU Society Members -