@article {126,
	title = {Factors affecting decision-making in land valuation process using AHP: a case in the Philippines},
	journal = {International Journal of Housing Markets and Analysis},
	volume = {ahead-of-print},
	year = {2021},
	month = {2021},
	abstract = {Purpose The research aims to establish importance scheme of geospatial factors for land valuation activities that may serve as an eye-opener and aid the concerned government agencies in drafting land valuation policies and guidelines to achieve a sound land governance and administration. It specifically identifies and weighs geospatial valuation factors to establish their importance. Design/methodology/approach The research involves discussions and survey questionnaires given to land experts (i.e. appraisers, environmental planners, land economist, geodetic engineers and assessors) who indicated their opinions on influence of geospatial factors on land value. The analytic hierarchy process (AHP) is then used to weigh the factors in terms of its importance. Findings The result was then compared with the multiple regression analysis (MRA) taking into consideration the standardized regression coefficient of the 15 factors. The AHP method found out the major road accessibility and slope direction as the most and least influential factors, respectively, while surprisingly MRA found major road accessibility not significant at p < 0.05 level of significance. Research limitations/implications The research generally reflects the sub-urban type of study area; hence, inclusion of other road types such as express ways and subways and performing sensitivity analysis of AHP are suggested in future studies. Practical implications The findings of the study will provide information of concerned government agencies in improving valuation activities, as well as to update values regularly based on the geospatial factors. Originality/value To the best of the authors{\textquoteright} knowledge, this study is the first effort to rank geospatial factors with analytic hierarchy analytic process that further considered both their negative and positive influences on land value. The approach surmounts the flaw and shortcomings of empirical methods of identifying importance of factors.},
	isbn = {1753-8270},
	url = {https://doi.org/10.1108/IJHMA-11-2020-0136},
	author = {Bencure, Jannet C. and Tripathi, Nitin K. and Miyazaki, Hiroyuki and Ninsawat, Sarawut and Kim, Sohee Minsun}
}
@proceedings {111,
	title = {Applications of SENTINEL-1 Synthetic Aperture Radar Imagery for Floods Damage Assessment: a Case Study of Nakhon SI Thammarat, Thailand},
	volume = {42},
	year = {2019},
	author = {Dadhich, Gautam and Miyazaki, Hiroyuki and Babel, Mukand}
}
@article {107,
	title = {Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches},
	journal = {Sustainability},
	volume = {11},
	year = {2019},
	abstract = {Land development in sub-urban areas is more frequent than in highly urbanized cities, causing land prices to increase abruptly and making it harder for valuers to update land values in timely manner. Apart from this, the non-availability of sufficient reliable market values forces valuers to use alternatives and subjective judgement. Land value is critical not only for private individuals but also for government agencies in their day-to-day land dealings. Thus, mass appraisal is necessary. In other words, despite the importance of reliable land value in all aspects of land administration, valuation remains disorganized, with unregulated undertakings that lack concrete scientific, legal, and practical foundations. A holistic and objective way of weighing geospatial factors through expert consultation, legal reviews, and evidence (i.e., news) will provide more realistic results than a regression-based method that does not comprehend valuation factors (i.e., physical, social, economic, environmental, and legal aspects). The analytic hierarchy process (AHP) enables these factors to be included in the model, hence providing a realistic result. The innovative land valuation model (iLVM), developed in this study, is an inclusive approach wherein experts are involved in the selection and weighing of 15 factors through the AHP. The model was validated using root mean squared error (RMSE) and compared with multiple regression analysis (MRA) through a case study in Baybay City, Philippines. Based on the results, the iLVM (RMSE = 0.526) outperformed MRA (RMSE = 1.953).},
	issn = {2071-1050},
	doi = {10.3390/su11133731},
	url = {https://www.mdpi.com/2071-1050/11/13/3731},
	author = {Bencure, Jannet C. and Tripathi, Nitin K. and Miyazaki, Hiroyuki and Ninsawat, Sarawut and Kim, Sohee Minsun}
}
@proceedings {116,
	title = {Urban Growth Modeling using Historical Landsat Satellite Data Archive on Google Earth Engine},
	year = {2019},
	month = {12/2019},
	address = {Chiang Mai, Thailand},
	abstract = {This paper presents a pilot of data analysis for urban growth modeling using historical Landsat satellite data archive on Google Earth Engine and SLEUTH cellular automata model. The systems were organized for non-expert so that it could be useful for other applications. The developed system was applied to urban growth modeling for the cities of Hue, Ha Giang, and Vinh Yen in Viet Nam. Although the results indicated that further tuning will be needed in applying SLEUTH for urban growth modeling, the system was well established enabling users to efficiently polish the quality of the modeling results.},
	url = {https://ieeexplore.ieee.org/document/9018846},
	author = {Hiroyuki Miyazaki and Himanshu Bhushan and Kotone Wakiya}
}
@proceedings {99,
	title = {Development of Population Distribution Map and Automated Human Settlement Map Using High Resolution Remote Sensing Images},
	year = {2018},
	doi = {10.1109/IGARSS.2018.8517827},
	url = {https://ieeexplore.ieee.org/abstract/document/8517827},
	author = {Uttam Dwivedi and Zhiling Guo and Hiroyuki Miyazaki and Mohamed Batran and Ryosuke Shibasaki}
}
@proceedings {92,
	title = {Innovative Technological Approaches for Community Resilience},
	volume = {32},
	year = {2017},
	pages = {S191-S191},
	issn = {1049-023X},
	doi = {10.1017/S1049023X17005039},
	url = {https://www.cambridge.org/core/article/innovative-technological-approaches-for-community-resilience/2CDC3530F65C3A6625D58C1E6E9EAE79},
	author = {Kanbara, Sakiko and Aharonson-Daniel, Limor and Miyazaki, Hiroyuki and Cohen, Odeya and Benin-Goren, Odeda and Yifrah, Dror and Arai, Ayumi}
}
@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.}
}
