<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Miyagawa, Shoko</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Kanbara, Sakiko</style></author><author><style face="normal" font="default" size="100%">Miyagawa, Shoko</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Designing Data for DRR (Disaster Risk Reduction) Services</style></title><secondary-title><style face="normal" font="default" size="100%">Disaster Nursing, Primary Health Care and Communication in Uncertainty</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-030-98297-3_27</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><pub-location><style face="normal" font="default" size="100%">Cham</style></pub-location><pages><style face="normal" font="default" size="100%">309–316</style></pages><isbn><style face="normal" font="default" size="100%">978-3-030-98297-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">This chapter provides basic methods of service design, which is a key technique for bringing benefits of ICT and GIS to end users. The methods comprise a series of user-oriented designs including defining and scoping problems, identifying and analyzing stakeholders, designing and defining specification requirements of information and data, and prototyping. These are useful for interdisciplinary fields like disaster nursing and primary health care. The approach is also applied to the framework of analyzing case studies in the next chapter, so it is encouraged to read this chapter before the next chapter. Readers will be equipped with methods of analyzing problems for designing solutions with ICT and GIS after reading this chapter.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Maharjan, Nisha</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Pati, Bipun Man</style></author><author><style face="normal" font="default" size="100%">Dailey, Matthew N.</style></author><author><style face="normal" font="default" size="100%">Shrestha, Sangam</style></author><author><style face="normal" font="default" size="100%">Nakamura, Tai</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Detection of River Plastic Using UAV Sensor Data and Deep Learning</style></title><secondary-title><style face="normal" font="default" size="100%">Remote Sensing</style></secondary-title><short-title><style face="normal" font="default" size="100%">Remote Sensing</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-07-2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/2072-4292/14/13/3049</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">14</style></volume><pages><style face="normal" font="default" size="100%">3049</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">13</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sritart, Hiranya</style></author><author><style face="normal" font="default" size="100%">Tuntiwong, Kuson</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Taertulakarn, Somchat</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Disparities in Healthcare Services and Spatial Assessments of Mobile Health Clinics in the Border Regions of Thailand</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Environmental Research and Public Health</style></secondary-title><short-title><style face="normal" font="default" size="100%">IJERPH</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-10-2021</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/1660-4601/18/20/10782</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">18</style></volume><pages><style face="normal" font="default" size="100%">10782</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">20</style></issue></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Wataru Ohira</style></author><author><style face="normal" font="default" size="100%">Satoshi Kaneko</style></author><author><style face="normal" font="default" size="100%">Ryosuke Shibasaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of an Automated Settlement Mapping System using High-Resolution Satellite Images and Deep Learning</style></title><secondary-title><style face="normal" font="default" size="100%">The 60th Annual Meeting for the Japanese Society of Tropical Medicine</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2019</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Okinawa, Japan</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We developed an automated system of building with the use of high-resolution satellite images and deep learning, comprising a geospatial data management system, an image data processing system, and a quality control system. The system development has achieved the component of the geospatial data management and image data processing, and performed building mapping of some large extents, while the development of quality control systems is ongoing. Because we developed the system with open-source and web-based software, anyone can participate in the preparation of training data just only with a computer and the Internet. The system is expected to be a platform for the large-scale mapping of buildings and other ground objects with international collaborations of local partners. The building maps developed by this system are expected to be a basis of analyzing demography with possible risks and impacts of communicable diseases.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bencure, Jannet C.</style></author><author><style face="normal" font="default" size="100%">Tripathi, Nitin K.</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Ninsawat, Sarawut</style></author><author><style face="normal" font="default" size="100%">Kim, Sohee Minsun</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">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</style></title><secondary-title><style face="normal" font="default" size="100%">Sustainability</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.mdpi.com/2071-1050/11/13/3731</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">11</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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).</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yuki Akiyama</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Sirinya Sirikanjanaanan</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of micro population data for each building: Case study in Tokyo and Bangkok</style></title><secondary-title><style face="normal" font="default" size="100%">2019 First International Conference on Smart Technology &amp; Urban Development (STUD)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">building</style></keyword><keyword><style  face="normal" font="default" size="100%">census</style></keyword><keyword><style  face="normal" font="default" size="100%">disaggregation</style></keyword><keyword><style  face="normal" font="default" size="100%">micro geodata</style></keyword><keyword><style  face="normal" font="default" size="100%">population</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/9018851</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Chiang Mai, Thailand</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In order to carry out sustainable development and management of cities, it is necessary to design and implement appropriate city planning and traffic planning. Indispensable information for designing them is the population distribution. However, population data with high spatial resolution, such as building units, are rarely maintained in cities in developing countries. Therefore, this study examined the development of methods for estimating the number of residents per building in Tokyo and Bangkok using detailed building maps and population census in subdistrict units. In addition, using these methods, we tried to develop micro population data (MPD) across Tokyo and Bangkok. Moreover, the reliability of MPD was verified by comparing it with population census with higher resolution than subdistrict unit in Tokyo. As a result, it has become possible to develop MPDs that are strongly correlated with the population census of various aggregation units and have small errors.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">B. Devkota</style></author><author><style face="normal" font="default" size="100%">K. Kim</style></author><author><style face="normal" font="default" size="100%">C. Zhuang</style></author><author><style face="normal" font="default" size="100%">H. Miyazaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Disaggregate Hotel Evaluation by Using Diverse Aspects from User Reviews</style></title><secondary-title><style face="normal" font="default" size="100%">2019 IEEE International Conference on Big Data and Smart Computing (BigComp)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Adaptation models</style></keyword><keyword><style  face="normal" font="default" size="100%">aspects</style></keyword><keyword><style  face="normal" font="default" size="100%">Coherence</style></keyword><keyword><style  face="normal" font="default" size="100%">coherent hotel aspects</style></keyword><keyword><style  face="normal" font="default" size="100%">customer satisfaction</style></keyword><keyword><style  face="normal" font="default" size="100%">data mining</style></keyword><keyword><style  face="normal" font="default" size="100%">Data models</style></keyword><keyword><style  face="normal" font="default" size="100%">disaggregate hotel evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">diverse aspects</style></keyword><keyword><style  face="normal" font="default" size="100%">Estimation</style></keyword><keyword><style  face="normal" font="default" size="100%">Feature extraction</style></keyword><keyword><style  face="normal" font="default" size="100%">fine-grained aspect level opinions</style></keyword><keyword><style  face="normal" font="default" size="100%">frequent noun-adjective co-occurrence statistics</style></keyword><keyword><style  face="normal" font="default" size="100%">hotel industry</style></keyword><keyword><style  face="normal" font="default" size="100%">hotel ranking</style></keyword><keyword><style  face="normal" font="default" size="100%">hotel reviews</style></keyword><keyword><style  face="normal" font="default" size="100%">latent aspects</style></keyword><keyword><style  face="normal" font="default" size="100%">Predictive models</style></keyword><keyword><style  face="normal" font="default" size="100%">purchase decision</style></keyword><keyword><style  face="normal" font="default" size="100%">statistical analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">supervised methods</style></keyword><keyword><style  face="normal" font="default" size="100%">topic modeling</style></keyword><keyword><style  face="normal" font="default" size="100%">unsupervised learning</style></keyword><keyword><style  face="normal" font="default" size="100%">user attention</style></keyword><keyword><style  face="normal" font="default" size="100%">user reviews</style></keyword><keyword><style  face="normal" font="default" size="100%">word co-occurrence statistics</style></keyword><keyword><style  face="normal" font="default" size="100%">word embeddings</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Feb</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Experienced opinions about products and services can guide a potential user for a better purchase decision. Fine-grained aspect level opinions embedded within reviews must be explored to discover experienced users&#039; latent opinion about the aspects (i.e. features of products like cost, value for money, etc.) and their relative importance. In this paper, we present an unsupervised approach for discovering coherent hotel aspects based on the user attention. This model effectively integrates techniques like topic modeling and word embeddings along with the frequent noun-adjective co-occurrence statistics to automatically discover coherent hotel aspects. Further supervised methods are used to understand the user&#039;s relative emphasis on the aspects and finally rank the hotels. This method does not assume any predefined seed words and discovers coherent level aspects by directly using user attention and word co-occurrence statistics in addition to topic modeling and word embeddings. The performance evaluation of this method was done by collecting various hotel reviews from multiple travel websites. Results show that the proposed methods improved the baseline performance up to 90%. Hence, the results thus obtained are very promising and indicate that the system is simple, scalable and most of all accurate in ranking hotels based on the latent aspects expressed in the user reviews.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yohei Koga</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Ryosuke Shibasaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Deep Domain Adaptation for Single-Shot Vehicle Detector in Satellite Images</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE International Geoscience and Remote Sensing Symposium</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/8519129</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of On-Demand Human Settlement Mapping System Using Historical Satellite Archives</style></title><secondary-title><style face="normal" font="default" size="100%">Urban Remote Sensing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><pages><style face="normal" font="default" size="100%">15</style></pages><isbn><style face="normal" font="default" size="100%">0429888554</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Uttam Dwivedi</style></author><author><style face="normal" font="default" size="100%">Zhiling Guo</style></author><author><style face="normal" font="default" size="100%">Hiroyuki Miyazaki</style></author><author><style face="normal" font="default" size="100%">Mohamed Batran</style></author><author><style face="normal" font="default" size="100%">Ryosuke Shibasaki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of Population Distribution Map and Automated Human Settlement Map Using High Resolution Remote Sensing Images</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE International Geoscience and Remote Sensing Symposium</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/abstract/document/8517827</style></url></web-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of an On-demand Service of Settlement Mapping Using Landsat Archive</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Urban Geoinformatics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><pub-location><style face="normal" font="default" size="100%">New Delhi, India</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Devkota, Bidur</style></author><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of Social Media Data Collection System and Its Preliminary Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">International Conference on Urban Geoinformatics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2017</style></year></dates><pub-location><style face="normal" font="default" size="100%">New Delhi, India</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, H.</style></author><author><style face="normal" font="default" size="100%">Kuwata, K.</style></author><author><style face="normal" font="default" size="100%">Ohira, W.</style></author><author><style face="normal" font="default" size="100%">Guo, Z.</style></author><author><style face="normal" font="default" size="100%">Shao, X.</style></author><author><style face="normal" font="default" size="100%">Xu, Y.</style></author><author><style face="normal" font="default" size="100%">Shibasaki, R.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of an automated system for building detection from high-resolution satellite images</style></title><secondary-title><style face="normal" font="default" size="100%">2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Nagai, Masahiko</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of Time-Series Human Settlement Mapping System using Historical Landsat Archive</style></title><secondary-title><style face="normal" font="default" size="100%">ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><pages><style face="normal" font="default" size="100%">1385-1388</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Shao, Xiaowei</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a Global Built-Up Area Map Using ASTER Satellite Images and Existing GIS Data</style></title><secondary-title><style face="normal" font="default" size="100%">Global Urban Monitoring and Assessment through Earth Observation</style></secondary-title><short-title><style face="normal" font="default" size="100%">Global Urban Monitoring and Assessment through Earth Observation</style></short-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year></dates><publisher><style face="normal" font="default" size="100%">CRC Press</style></publisher><pub-location><style face="normal" font="default" size="100%">London</style></pub-location><pages><style face="normal" font="default" size="100%">121</style></pages><isbn><style face="normal" font="default" size="100%">1466564490</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><section><style face="normal" font="default" size="100%">7</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Weng, Qihao</style></author><author><style face="normal" font="default" size="100%">Zeng, Siqi</style></author><author><style face="normal" font="default" size="100%">Zhu, Jianjun</style></author><author><style face="normal" font="default" size="100%">Zhu, Chuanqu</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of High-Resolution Population Database from ASTER-Derived Urban Area Map</style></title><secondary-title><style face="normal" font="default" size="100%">The Third International Workshop on Earth Observation and Remote Sensing Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://ieeexplore.ieee.org/document/6927879</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Changsha, China</style></pub-location><isbn><style face="normal" font="default" size="100%">978-1-4799-5757-6</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of a New Ground Truth Database for Global Urban Area Mapping from a Gazetteer</style></title><secondary-title><style face="normal" font="default" size="100%">Remote Sensing</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">crowd sourcing</style></keyword><keyword><style  face="normal" font="default" size="100%">global urban</style></keyword><keyword><style  face="normal" font="default" size="100%">ground truth database</style></keyword><keyword><style  face="normal" font="default" size="100%">web feature service</style></keyword><keyword><style  face="normal" font="default" size="100%">web mapping service</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.mdpi.com/2072-4292/3/6/1177/</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">6</style></number><pub-location><style face="normal" font="default" size="100%">Taipei</style></pub-location><volume><style face="normal" font="default" size="100%">3</style></volume><pages><style face="normal" font="default" size="100%">1177–1187</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present a practical system for collecting ground truth data needed for global urban area mapping. To collect visually interpreted information effectively, we implemented crowd sourcing, with which the operators collect and send very accurate data generated by visual interpretation through the Internet. The system was constructed with Web Map Service (WMS) and Web Feature Service (WFS), which are standardized scheme of publishing and updating map data over the Internet. Within the system, the conductor and the operators of visual interpretation campaign would save labor and time for transferring data, keeping consistency, and assuring data security. In addition to that, owing to the standardized scheme, the system was flexibly extensible and transferrable to the other purpose. We regard that the system would contribute to improve ground information for global urban area mapping as well as statistical investigation on precision of visual interpretations. 1. INTRODUCTION Global urban area maps, which represent location, area and shape of urban area of the world,</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Developing Global Urban Extent Map of High Resolution with ASTER Satellite Images</style></title><secondary-title><style face="normal" font="default" size="100%">7th International Conference on Urban Climate</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Yokohama, Japan</style></pub-location><pages><style face="normal" font="default" size="100%">4-16</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of New Urban Extent Map with Integration of ASTER Satellite Images and Existing Urban Extent Maps</style></title><secondary-title><style face="normal" font="default" size="100%">1st Geoinformation Student Forum in Kansai</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2009</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kyoto, Japan</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>32</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Developing Method for Estimation of Affection by Grazing Activities against Vegetation with Multi-Temporal Satellite Images and Application for Mapping Grazing Activities</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><pages><style face="normal" font="default" size="100%">54</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><work-type><style face="normal" font="default" size="100%">Master dissertation</style></work-type></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Developing Urban Extent Map of High Accuracy and Resolution by Integrating ASTER satellite Images and Existing Urban Extent Maps</style></title><secondary-title><style face="normal" font="default" size="100%">17th Annual Conference of GIS Association of Japan</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Tokyo, Japan</style></pub-location><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">89-92</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Iwao, Koki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of New Urban Extent Map with lntegration of ASTER/VNIR Classified Map and Existing Urban Extent Maps</style></title><secondary-title><style face="normal" font="default" size="100%">ASTER Workshop - ASTER Science Team Meeting</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2008</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Tokyo, Japan</style></pub-location><pages><style face="normal" font="default" size="100%">10-11</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miyazaki, Hiroyuki</style></author><author><style face="normal" font="default" size="100%">Shibasaki, Ryosuke</style></author><author><style face="normal" font="default" size="100%">Yan, Wanglin</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Development of Method for Detection of Grazing Activities with Time-Series Satellite images in Plateau Region</style></title><secondary-title><style face="normal" font="default" size="100%">28th Asian Conference on Remote Sensing</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2007</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2007</style></date></pub-dates></dates><pub-location><style face="normal" font="default" size="100%">Kuala Lumpur, Malaysia</style></pub-location><pages><style face="normal" font="default" size="100%">TS25.5</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>