17:15 〜 19:15
[HTT14-P03] Developing 3D environmental data utilization platform in Human Geosciences: A preview
キーワード：三次元空間情報、情報基盤、ユーザデータ
The use of high-definition three-dimensional (3D) data has become increasingly common among students and early-career researchers in Human Geosciences. However, technical challenges such as large data volumes, diverse formats, and limited access to suitable storage and sharing platforms hinder efficient data management and utilization. To address these issues, we propose the development of a user-friendly platform for storing, sharing, analyzing, and visualizing 3D data, particularly in the fields of geomorphology and forest science.
With the expansion of 3D measurement technologies like photogrammetry and laser scanning, the need for accessible, field-compatible data management systems has grown. Existing cloud storage services are often unavailable in certain institutions, and are not optimized for handling high-definition 3D data in remote field settings. Our proposed platform will provide a sustainable, high-speed processing system tailored to different spatial scales (km, m, cm) of landscape components such as topography and vegetation. The system will optimize resolution and accuracy according to field-specific requirements, ensuring ease of use for researchers with limited technical expertise.
This initiative also aims to enhance the effective research and educational use of 3D data in Human Geosciences. A prototype platform will be developed with test cases drawn from challenges faced by students and young researchers. By simplifying 3D data management and utilization, this platform will support innovative research and interdisciplinary collaboration in geosciences and related fields.
With the expansion of 3D measurement technologies like photogrammetry and laser scanning, the need for accessible, field-compatible data management systems has grown. Existing cloud storage services are often unavailable in certain institutions, and are not optimized for handling high-definition 3D data in remote field settings. Our proposed platform will provide a sustainable, high-speed processing system tailored to different spatial scales (km, m, cm) of landscape components such as topography and vegetation. The system will optimize resolution and accuracy according to field-specific requirements, ensuring ease of use for researchers with limited technical expertise.
This initiative also aims to enhance the effective research and educational use of 3D data in Human Geosciences. A prototype platform will be developed with test cases drawn from challenges faced by students and young researchers. By simplifying 3D data management and utilization, this platform will support innovative research and interdisciplinary collaboration in geosciences and related fields.