固体地球科学(S)
セッション小記号 資源・鉱床・資源探査(RD)
セッションID S-RD24
タイトル 和文 Cutting-edge sensing technology applied to geology and resource exploration
英文 Cutting-edge sensing technology applied to geology and resource exploration
タイトル短縮名 和文 Sensing technology for geological survey
英文 Sensing technology for geological survey
代表コンビーナ 氏名 和文 高橋 幸弘
英文 Yukihiro Takahashi
所属 和文 北海道大学・大学院理学院・宇宙理学専攻
英文 Department of Cosmosciences, Graduate School of Science, Hokkaido University
共同コンビーナ 1 氏名 和文 Mohd Hariri Arifin
英文 Mohd Hariri Arifin
所属 和文 Universiti Kebangsaan Malaysia
英文 Universiti Kebangsaan Malaysia
共同コンビーナ 2 氏名 和文 Mirzam Abdurrachman
英文 Mirzam Abdurrachman
所属 和文 Institut Teknologi Bandung
英文 Institut Teknologi Bandung
発表言語 E
スコープ 和文
In geology and resource exploration, remote sensing is a powerful and effective tool for surveying difficult-to-reach sites and wide areas. However, manned aircraft are expensive and require a large setup, and existing satellites are not always sufficient for the short time required in areas with high cloud cover, such as tropical regions. In recent years, the capabilities of small drones and micro-satellites have been improved significantly, making it possible to use on-demand remote sensing. In addition, while ordinary color cameras and multi-band cameras with only a few bands had limited accuracy in indetifying geological features, the advent of multi-band cameras and hyper-sensors with more than several dozen bands is changing geological and resource exploration to a large extent. In this session, we invite a wide range of presentations on geological survey and resource exploration using such state-of-the-art measurement methods, including remote sensing. This session is jointly organized by IAGI (Indonesian Geologists Association), GSP (Geological Society of the Philippines), GSM (Geological Society of Malaysia), Mongolian Physical Society (MPS) and JpGU.
英文
In geology and resource exploration, remote sensing is a powerful and effective tool for surveying difficult-to-reach sites and wide areas. However, manned aircraft are expensive and require a large setup, and existing satellites are not always sufficient for the short time required in areas with high cloud cover, such as tropical regions. In recent years, the capabilities of small drones and micro-satellites have been improved significantly, making it possible to use on-demand remote sensing. In addition, while ordinary color cameras and multi-band cameras with only a few bands had limited accuracy in indetifying geological features, the advent of multi-band cameras and hyper-sensors with more than several dozen bands is changing geological and resource exploration to a large extent. In this session, we invite a wide range of presentations on geological survey and resource exploration using such state-of-the-art measurement methods, including remote sensing. This session is jointly organized by IAGI (Indonesian Geologists Association), GSP (Geological Society of the Philippines), GSM (Geological Society of Malaysia), Mongolian Physical Society (MPS) and JpGU.
発表方法 口頭および(または)ポスターセッション
招待講演 Yulin Xu (Faculty of Engineering, Hokkaido University)
Kevin Lariosa Garas (Mines and Geosciences Bureau - Philippines)
Mohd Hariri Arifin (Universiti Kebangsaan Malaysia)
時間 講演番号 タイトル 発表者
口頭発表 5月30日 AM1
9:00 - 9:15 SRD24-01 An Unsupervised Domain Adaptation Method for Cross-Sensor and Cross-Region Landslide Detection Yulin Xu
9:15 - 9:30 SRD24-02 Optimizing Resource Exploration (ORE) using Spectrometry and Lithogeochemical Tools for the Advanced Characterization of Magmatic-Hydrothermal Deposits Kevin Lariosa Garas
9:30 - 9:45 SRD24-03 Geothermal Energy for Malaysia’s Growth: Strengthening Partnerships with Japan Mohd Hariri Arifin
9:45 - 10:00 SRD24-04 Experimental Study on Reservoir Disturbance Characteristics During Deep Reinjection of High-Salinity Mine Water Shiang Xu
10:00 - 10:15 SRD24-05 Development of geological and resource survey methods using micro-satellites 高橋 幸弘
講演番号 タイトル 発表者
ポスター発表 5月30日 PM3
SRD24-P01 Hyperspectral imagery machine learning analyser app for mineral identification: APiS (AI powered intelligence spectrum analyser) 岡田 夏男
SRD24-P02 Detection of Lithium-Bearing Minerals in the Gobi Region Using Multispectral LCTF Imaging Begzsuren Tumendemberel
SRD24-P03 Identification of Lithium Ore Distributed in the Gobi Desert of Mongolia Using Multispectral Drone 若江 史生
SRD24-P04 Behavior of Rare Earth and Radioactive Elements in the Mamuju and Belitung Regions, Indonesia Jo Jaeguk
SRD24-P05 Understanding Natural Recharge for Sustainable Production over 4 decades of Kamojang Geothermal Field, Indonesia Yayan Sofyan
SRD24-P06 超小型衛星による高空間解像度メタン観測の戦略 高橋 幸弘