@article {109,
	title = {Using Volunteered Geographic Information and Nighttime Light Remote Sensing Data to Identify Tourism Areas of Interest},
	journal = {Sustainability},
	volume = {11},
	year = {2019},
	pages = {4718},
	abstract = {Easy, economical, and near-real-time identification of tourism areas of interest is useful for tourism planning and management. Numerous studies have been accomplished to analyze and evaluate the tourism conditions of a place using free and near-real-time data sources such as social media. This study demonstrates the potential of volunteered geographic information, mainly Twitter and OpenStreetMap, for discovering tourism areas of interest. Active tweet clusters generated using Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm and building footprint information are used to identify touristic places that ensure the availability of basic essential facilities for travelers. Furthermore, an investigation is made to examine the usefulness of nighttime light remotely sensed data to recognize such tourism areas. The study successfully discovered important tourism areas in urban and remote regions in Nepal which have relatively low social media penetration. The effectiveness of the proposed framework is examined using the F1 measure. The accuracy assessment showed F1 score of 0.72 and 0.74 in the selected regions. Hence, the outcomes of this study can provide a valuable reference for various stakeholders such as tourism planners, urban planners, and so on.},
	issn = {2071-1050},
	doi = {10.3390/su11174718},
	url = {https://www.mdpi.com/2071-1050/11/17/4718},
	author = {Devkota, Bidur and Miyazaki, Hiroyuki and Witayangkurn, Apichon and Kim, Sohee Minsun}
}
@article {63,
	title = {Unsupervised Global Urban Area Mapping via Automatic Labeling from ASTER and PALSAR Satellite Images},
	journal = {Remote Sensing},
	volume = {7},
	year = {2015},
	month = {2015},
	pages = {2171-2192},
	isbn = {2072-4292},
	url = {http://www.mdpi.com/2072-4292/7/2/2171},
	author = {Duan, Yulin and Shao, Xiaowei and Shi, Yun and Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
@inbook {64,
	title = {Urban Observing Sensors},
	booktitle = {Global Urban Monitoring and Assessment through Earth Observation},
	series = {Remote Sensing Applications Series},
	year = {2014},
	note = {doi:10.1201/b17012-6},
	month = {2014},
	pages = {49-80},
	publisher = {CRC Press},
	organization = {CRC Press},
	isbn = {978-1-4665-6449-7},
	url = {http://dx.doi.org/10.1201/b17012-6},
	author = {Weng, Qihao and Gamba, Paolo and Mountrakis, Giorgos and Pesaresi, Martino and Lu, Linlin and Kemper, Thomas and Heinzel, Johannes and Xian, George and Jin, Huiran and Miyazaki, Hiroyuki and Xu, Bing and Quresh, Salman and Keramitsoglou, Iphigenia and Ban, Yifang and Esch, Thomas and Roth, Achim and Elvidge, Christopher D.}
}
@conference {49,
	title = {Urban Extent Mapping with Textural Information of Satellite Image},
	booktitle = {18th IIS Forum on Broad-Scale Collection and Application of Environment and Disaster Risk Information},
	year = {2009},
	month = {2009},
	address = {Tokyo, Japan},
	author = {Miyazaki, Hiroyuki and Iwao, Koki and Shibasaki, Ryosuke}
}
