日本地球惑星科学連合2025年大会
セッション概要| 地球人間圏科学 (H) | ||||
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| セッション小記号 | 計測技術・研究手法 (TT) |  |
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| セッション ID | H-TT14 | |||
| タイトル | 高精細地形地理情報と地球表層におけるコネクティビティ | |||
| タイトル短縮名 | 高精細地形地理情報連結性 | |||
| 開催日時 | 口頭セッション | 5/29(木) PM2 | ||
| 現地ポスター コアタイム |
5/29(木) PM3 | |||
| 代表コンビーナ | 氏名 | 早川 裕弌 | ||
| 所属 | 北海道大学地球環境科学研究院 | |||
| 共同コンビーナ１ | 氏名 | Candide Lissak | ||
| 所属 | Universite de Rennes | |||
| 共同コンビーナ２ | 氏名 | 小倉 拓郎 | ||
| 所属 | 兵庫教育大学学校教育研究科 | |||
| 共同コンビーナ３ | 氏名 | Gomez Christopher | ||
| 所属 | 神戸大学 海事科学部 海域火山リスク科学研究室 | |||
| セッション言語 | E | |||
| スコープ |
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.
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| セッション形式 | 口頭およびポスターセッション | |||
| 共催情報 | 学協会 | 日本地形学連合 | ||
| ジョイント | EGU | |||
| 団体会員以外の組織との共催 | - | |||
| 国際連携団体 | - | |||