@inbook {136,
	title = {Care for Disaster Risk Reduction and Communication: Lessons Learned and Way to Forward},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {337{\textendash}346},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {We have contributed to the mutual support of the community, not within the framework of medical care or disaster prevention to health and well-being directly contributed to SDG 3. Through the care of local nurses who can flexibly respond to any disaster, we have been visualizing the care and communication for disaster risk reduction while using new technologies. The local nurse is a knowledge base that exists continuously in the community and is most concerned with the health, safety, and security of the people in the society. It is expected to play a coordinating role in local health crises from the long-term and holistic perspective forward. {\textquoteleft}{\textquoteleft}Target 3.d strengthen the capacity of all countries, in particular developing countries.{\textquoteright}{\textquoteright} Therefore, it is critical to update the knowledge about {\textquoteleft}{\textquoteleft}early warning, risk reduction, and management of national and global health risks.{\textquoteright}{\textquoteright} Its social context and commitment to a sustainable future need to be revised and updated periodically to keep pace with new technologies and developments. Mutual support involving community-based organizations, private nonprofit organizations, private companies, educational and research institutions, and academic institutions is also essential. Broadening the space for action and allowing for more dialogue were also required to enable each institution to coordinate its response as appropriate. Thinking within a diverse global agenda frameworks allows for a multilateral and multisectoral approach to realizing the SDGs. This book would show a comprehensive {\textquoteleft}{\textquoteleft}big blueprint{\textquoteright}{\textquoteright} for global citizen to understand. {\textquoteleft}{\textquoteleft}No one{\textquoteright}s health and well-being will be left behind{\textquoteright}{\textquoteright} through disaster nursing and disaster risk reduction with emerging communication and data.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_30},
	url = {https://doi.org/10.1007/978-3-030-98297-3_30},
	author = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@inbook {139,
	title = {Case Studies of ICT/GIS Application for DRR},
	booktitle = {Disaster Nursing, Primary Health Care and Communication in Uncertainty},
	year = {2022},
	pages = {317{\textendash}325},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {This chapter introduces suitable applications for disaster risk reduction (DRR) using information technologies and geospatial information in primary health care. We assessed the practices in aspects of (1) problems addressed by the solution, (2) stakeholders of the problems, (3) user or beneficiary of the provided information and data, (4) outcomes of the solution, and (5) key technology specifications required for providing the information and data, specifically focusing spatial precision and temporal frequency. The analysis shed light on the current issues and limitations of the implemented systems while paving the way for future development addressing the rules from geospatial services.},
	isbn = {978-3-030-98297-3},
	doi = {10.1007/978-3-030-98297-3_28},
	url = {https://doi.org/10.1007/978-3-030-98297-3_28},
	author = {Miyazaki, Hiroyuki and Miyagawa, Shoko and Joshi, Archana Shrestha and Kanbara, Sakiko},
	editor = {Kanbara, Sakiko and Miyagawa, Shoko and Miyazaki, Hiroyuki}
}
@article {94,
	title = {A CNN-Based Method of Vehicle Detection from Aerial Images Using Hard Example Mining},
	journal = {Remote Sensing},
	volume = {10},
	year = {2018},
	pages = {124},
	type = {Journal Article},
	issn = {2072-4292},
	url = {http://www.mdpi.com/2072-4292/10/1/124},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@proceedings {88,
	title = {Counting Vehicles By Deep Neural Network In High Resolution Satellite Images},
	year = {2016},
	author = {Koga, Yohei and Miyazaki, Hiroyuki and Shibasaki, Ryosuke}
}
@booklet {66,
	title = {Crowdsourcing for urban area mapping},
	howpublished = {Asia Geospatial Digest},
	year = {2013},
	month = {2013},
	url = {http://geospatialworld.net/Paper/Application/ArticleView.aspx?aid=30462},
	author = {Kimijima, Satomi and Nagai, Masahiko and Miyazaki, Hiroyuki and Shibasaki, Ryosuke and Iwao, Koki}
}
@proceedings {78,
	title = {Crowd-Sourcing GIS for Global Urban Area Mapping},
	year = {2012},
	month = {2012},
	pages = {A4-2},
	address = {Pattaya, Thailand},
	abstract = {We present an internet-based data development, called crowd sourcing, for global urban area mapping. Crowd sourcing is an approach in which non-expert people, called crowds, join a project of producing data with simple procedures. To introducing crowd sourcing for our global urban area mapping, we constructed a crowd sourcing platform with open source GIS software and developed a ground truth data development system the platform. The data development system was for producing ground truth data by digitizing boundaries of urban area with visual interpretation of satellite images. By using the system, we successfully developed over 160,000 records of boundary data in five month. We had an experiment with operation of the system to measure working time by several sizes of work unit: 80 km {\texttimes} 80 km, 20 km {\texttimes} 20 km, and 10 km {\texttimes} 10 km. Medians of working time were 87.2, 6.2, and 1.4 hours, respectively. Our result would be helpful for estimate total working time of crowd sourcing of ground truth data by visual interpretation and would contribute to progress of data-intensive studies of geospatial information, remote sensing, and photogrammetry.},
	keywords = {ASTER, crowd sourcing, urban area mapping, Web-GIS},
	author = {Miyazaki, Hiroyuki and Kimijima, Satomi and Nagai, Masahiko and Iwao, Koki and Shibasaki, Ryosuke}
}
@conference {40,
	title = {A Crowd-Sourcing System with Web Mapping Systems for Ground Information Database of Global Urban Area Mapping},
	booktitle = {3rd Geospatial Information Forum for Students and Young Engineers},
	year = {2011},
	month = {2011},
	address = {Osaka, Japan},
	author = {Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
