Disaster-Affected Area Estimation Method with Open Multispectral-Image Data Analysis for Multidimensional World Map System

被引：0

作者：

Nakamura, Yuki ^{[1
]}

Sasaki, Shiori ^{[1
]}

机构：

[1] Musashino University, Graduate School of Data Science, Ariake, Koto, Tokyo, Japan

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暂无

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摘要：

Cost benefit analysis - Disasters - Maps - Open Data - Risk assessment - Risk perception - Satellite imagery - Surveys

引用

页码：616 / 621

共 3 条

[1] Disaster-Affected Area Estimation Method with Open Multispectral-Image Data Analysis for Multidimensional World Map System
Nakamura, Yuki
Sasaki, Shiori
2022 7TH INTERNATIONAL CONFERENCE ON BUSINESS AND INDUSTRIAL RESEARCH (ICBIR2022), 2022, : 616 - 621
[2] Comparative analysis of RGB and multispectral UAV image data for leaf area index estimation of sweet potato
Ochiai, Shoki
Kamada, Erika
Sugiura, Ryo
SMART AGRICULTURAL TECHNOLOGY, 2024, 9
[3] A Multi-dimensional Visualization Method for Disaster Analysis on 5D World Map System
Uraki, Asako
Sasaki, Shiori
Kiyoki, Yasushi
2018 INTERNATIONAL ELECTRONICS SYMPOSIUM ON KNOWLEDGE CREATION AND INTELLIGENT COMPUTING (IES-KCIC), 2018, : 139 - 145