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References Aye, Zar Chi, Michel Jaboyedoff, M. H Derron, C. J van Westen , H. Y Hussin, R. L Ciurean, S Frigerio, and A Pasuto. 2015. "An interactive web-GIS tool for risk analysis: a case study in the Fella River Basin, Italy." Nat. Hazards Earth Syst. Sci. Discuss 4007-4057. Blaikie, P, T Cannon, I Davis, and B Wisner. 1994. At Risk: Natural Hazards, People’s Vulnerability, and Disasters. London: Routledge. Cardona, Omar D, Mario G Ordaz, and Mabel C Marula. 2008. "Estimation of Probabilistic Seismic Losses and the Public Economic Resilience—An Approach for a Macroeconomic Impact Evaluation." Journal of Earthquake Engineering 60-71. Earthquake Track. 2015. Biggest Earthquakes Near Nepal. Accessed July 2015. http://earthquaketrack.com/p/nepal/biggest. Esri White Paper. 2008. "Geographic Information Systems Providing the Platform for Comprehensive Emergency Management." FEMA. 2008. HAZUS-MH Estimated Annualized Earthquake Losses for the United States . GeoFabrik. 2015. OpenStreetMap Data Extracts. http://download.geofabrik.de/. Grossi, Patricia. 2015. "The Nepal Earthquake: What We Know So Far." The RMS blog. April 29. Accessed July 15, 2015. http://www.rms.com/blog/2015/04/29/the-nepal-earthquake-what-weknow-so-far/. InaSAFE. 2015. . http://inasafe.org/en/. International Federation of Red Cross. 2000. Disaster Emergency Needs Assessment. Disaster Preparedness Training Programme. James, Valentina, and Carmine Pascale. 2012. "Emergency, Open source GIS Tools to Map Earthquake Damage Scenarios and to Support." The Fourth International Conference on Advanced Geographic Information Systems, Applications, and Services. GEOProcessing. 152-157. Lantada, N, L. G Pujades, and A. H d Barbat . 2009. "Vulnerability index and capacity spectrum based methods for urban seismic risk evaluation." Nat Hazards 501-524. Numbeo. 2015. Cost of Living in Nepal. July. http://www.numbeo.com/cost-ofliving/country_result.jsp?country=Nepal. Open Quake. 2015. GLOBAL EARTHQUAKE MODEL. January 21. Accessed July 15, 2015. http://www.globalquakemodel.org/openquake/about/platform/. Robertson, Jessica, and Heidi Koontz. 2015. Magnitude 7.8 Earthquake in Nepal & Aftershocks (USGS). May. Accessed July 2015. http://www.usgs.gov/blogs/features/usgs_top_story/magnitude-7-8-earthquake-in-nepal/. UN. 2015. Nepal earthquake: More than 3,00,000 houses damaged, says UN report. May. http://www.firstpost.com/world/nepal-earthquake-more-than-300000-houses-damaged-saysun-report-2224632.html. UNHCR. 2015. Nepal: 2015 Earthquakes. June. Accessed July , 2015. http://data.unhcr.org/nepal/. USGS. 2015. Earthquake Hazards Program: Shake map. Accessed July 2015. http://earthquake.usgs.gov/earthquakes/shakemap/global/shake/20002926/. USGS National Earthquake Information Center. 2015. USGS. April. Accessed July 2015. http://earthquake.usgs.gov/earthquakes/eventpage/us20002926#general_summary. van Westen, C.J, W.H Bakker, V Andrejchenko, K Zhang, J Berlin, I Cristal, and R Olyazadeh. 2014. "User Guide: RiskChanges: a Spatial Decision Support System for analysing changing hydrometeorological risk." Accessed 2015. http://www.changesitn.eu/RiskChanges/UserGuide/tabid/159/Default.aspx. Wisner, Ben, Piers Blaikie, Terry Cannon, and Ian Davis. 2003. At Risk: natural hazards, people’s vulnerability and disasters (Second Edition). UNDP. 228
EVALUATING FLOOD HAZARD POTENTIAL IN DANANG CITY, VIETNAM USING FOSS4G An Tran Thi 1 , Venkatesh Raghavan 1 , Shinji Masumoto 2 , Susumu Nonogaki 3 , Tatsuya Nemoto 2 , Vinayaraj Poliyapram 1 , Go Yonezawa 1 1 Graduate School for Creative Cities, Osaka City University 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka 558-8585, Japan. Email: tranthian.gis@gmail.com 2 Graduate School of Science, Osaka City University 3-3-138 Sugimoto, Sumiyoshi-ku, Osaka 558-8585, Japan. 3 Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology Central 7, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan. ABSTRACT Floodplain in the alluvial lowland coastal area in the south of Danang City is a part of Vu Gia - Thu Bon river basin where is affected by serious and repetitive flood hazard. The topography and geomorphology which directly related to flood hazard but such relationship are still poorly understood. This study aims to measure flood inundation during a flood event in 2007 and estimate the potential flood hazard areas. ALOS PALSAR imageries were used for observing flood inundation dynamics. A 5m resolution DEM of study area were generated using field survey elevation points data and BS-Horizon interpolation method (Nonogaki et al., 2012). The generated DEM and flood inundation map were used as input data to extract the geomorphologic features of the study area and investigate relations on flood hazards. The flood potential mapping based on the investigation of ALOS PALSAR interpretation, topographical analysis and the land cover classification was carried out. As the result, flood inundation map shows good correlation to field survey flood map in 2007 and potential flood hazard map also coincides with flood scenario assessment by the Danang City government. 1. INTRODUCTION Flooding is one of the most frequent and damage causing natural disaster in Vietnam and more so in Danang City. Several researchers have tried to characterize the flood potential in Danang area, based on hydro-geomorphological methods integrated with remote sensed data (Ho et al., 2012; Do et al., 2014). However, in the previous studies, lack of high resolution digital elevation model (DEM) and near-flood events satellite data, the results may not be sufficient for reliable analysis. This study aims to build potential flood hazard map for a lowland area in the south Danang City, Vietnam and estimate the change of flood hazard potential. ALOS PALSAR imageries before and during flood event in 2007 were used to characterize flood inundation. Land cover map in 2007 extracted from Landsat TM data was applied for the landform classification process. The potential flood hazard map was generated based on the probability of submergence of each landform unit. In addition, optical RapidEye remotely sensed data acquired in 2014 was used to evaluate the land cover change between 2007 to 2014. The potential impact of recent land cover change as a result of future flood event has been discussed. The result was compared with field survey flood pillar data, flood map of the past, flood scenario provided by Danang City government to assess future flood inundation potential in the study area. FOSS4G Seoul, South Korea | September 14 th – 19 th , 2015 229
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PROCEEDINGS Honil Gangni Yeokdae Gu
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C O N T E N T S Welcome Messages Lo
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A Week of Sharing, Learning, and Fu
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ACADEMIC TRACKS 7
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September 17, Thursday 11:00-12:15
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September 16 (Wed) & 18 (Fri) 15:05
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AUTOMATIC IMPROVEMENT OF POINT-OF-I
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In the following, we will list
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and specify their relations manuall
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Conducting a cross-validation on th
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81%. For cuisine=german, the precis
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4.3 Tourism and Leisure Tags We ide
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GENERATING GEOSPATIAL FOOTPRINTS FO
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quality assessment of geocrowdsourc
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Figure 2: The first simple case of
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Figure 5: The footprint of walkways
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say instead “Between 1st Street a
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4. DISCUSSION AND CONCLUSIONS The G
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Performance Analysis of MongoDB Vs.
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2. REVIEW OF SPATIAL DATABASES Simi
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4.2 Point Containment Problem Like
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If we observe the results above we
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esolution data (RapidEye and Landsa
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and used for calibration and coeffi
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scatter plot of RapidEye (Global (C
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is efficient to extrapolate depth f
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DYNAMIC STYLING FOR THEMATIC MAPPIN
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all) datasets on offer or applying
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3.2.1 Data inputs The styler accept
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determine the radius (both in the x
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Figure 5: Map classification of blo
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4.3 Point data Figure 8: Diverging
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4.4 Non-spatial visualisations Figu
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6 ACKNOWLEDGEMENTS The Cooperative
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educational resources (OER) and mod
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workshops have revealed that microc
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300 250 200 150 100 50 0 Figure 4.
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H 27 Male Student Maths / Geography
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5. CONCLUSIONS AND FUTURE WORK We h
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DEVELOPMENT OF DATA ARCHIVING AND D
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2. RELATED WORK Recent developments
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3. Significance and Objectives With
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Figure 3. Map Tiles Grid Selection
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The Ceph architecture comprises of
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Boundless, 2015. GeoExplorer — Ge
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Object-Based Building Boundary Extr
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2.2. A Grid-Based Algorithm A grid-
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3.1 Boundary Extraction The extract
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The Development of Web3D-based Open
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Singh et al.(2012) have utilized op
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Monitoring concept on operating asp
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(a) Mining area (Left:2007, Right:2
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geospatial information open platfor
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open platform utilized in open-pit
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Data Acquisition Methods Acquisitio
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(a) Ecological Restoring Area 1 (Le
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possibility of development of open-
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2. DATA ACQUISITION 2.1 Image gathe
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Hugin Pix4Dmapper Pablo d'Angelo et
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utit may be improved using many ste
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Wójcicka, A., and Wróbel, Z., 201
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platforms, which are easy to use an
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SWE framework proposes the followin
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Steenkamp et al. (2009) state that
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technology and are published under
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Measurement value yes Measurement s
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4.3.1 Explore The explore view allo
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Figure 8. Registration of a generic
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participants completely agree with
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467 - 471. Sohraby, K., Minoli, D.,
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In augmented reality a live view of
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Figure 4. Dwellings in an informal
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1. Gen eral crite ria 1.1. Platform
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matching, 3D engine, image tracking
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1.4. Implemented standards OGC ARML
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2.3. Object events 2.4. Display rad
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instructional videos, and basic exa
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application for addressing, the pre
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Environments, 6(4), 355-385. Carmig
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1. INTRODUCTION Use of landmarks in
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the junctions which made with major
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4. IMPLEMENTATION 4.1 Technology Se
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Figure 3: Linear map output with si
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AN OPEN SOURCE WEB SERVICE FOR REGI
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2. IGSN OVERVIEW Figure 1 shows the
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types (e.g., dateType and relationT
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REST API(Fielding, 2000). The servi
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An Open Source Web Service for Regi
Page 177 and 178: Research Centre (ARRC) and the Nati
Page 179 and 180: Developing a land use database of t
Page 181 and 182: Figure 3. Land use input applicatio
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Page 185 and 186: Figure 6. Overlay point based land
Page 187 and 188: Integrating Open Source GIS Softwar
Page 189 and 190: Advanced GIS course, we recognized
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Page 193 and 194: Figure 8 The USDA Foodshed project
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Page 199 and 200: 2. JAKARTA'S DISASTER RISK MANAGEME
Page 201 and 202: The aim of the system is to improve
Page 203 and 204: 8. REFERENCES Baker, J. L., 2012. (
Page 205 and 206: EVALUATION OF AN OPEN-SOURCE COLLAB
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Page 219 and 220: e integrated directly in the Web-GI
Page 221 and 222: 3. Implementation The main features
Page 223 and 224: Phase 1: Earthquake data Input Data
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Page 227: After adding all the layer maps, th
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Page 239 and 240: demographic data. He also states th
Page 241 and 242: Table 1. The combination of COUNTRY
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Page 253 and 254: Geosocial Big Data Analysis Using P
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Page 257 and 258: 3.1 Keypoints detection and matchin
Page 259 and 260: complete the process. This has been
Page 261 and 262: Fleet, D., & Weiss, Y. (2006). Opti
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Page 267 and 268: Figure 2. Server (upper block) and
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Page 273 and 274: 4. RESULTS Summing up, we should no
Page 275 and 276: Paradigms. John Wiley & Sons Inc.,
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An Evaluation of Open Source Geogra
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2. DATA AND METHOD The approach ado
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the beginning and end of each trip
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Table 4 - GIS Routing Tools S/N GIS
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State cold store- Hungu Primary Hea
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Figure 3 - Comparing Discrepancy in
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nations based on human per capita i
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investigating metropolitan traffic.
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A Cross National Comparison on the
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in 1980(Saaty, 1980). It assesses t
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ex or current government officials
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Herold, S., & Sawada, M. C. (2012).
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frameworkwhich covers an infrastruc
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The architecture of the application
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5. CONCLUDING REMARKS Open source s
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cloud environment, so that end-user
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Figure 2 represents user interface
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geo-science application. Also the o
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PO-04 GeoDjango-Framwork-based Popu
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pH of 5.5 to 7.0; forest loam, rock
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Figure 4. Study Area (Davao Region)
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Figure 6. Topographic Map of Mindan
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Figure 8. Land Areas suitable for C
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It is respectfully recommended that
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ECDIS through introduction of Open
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to adopt development using open sou
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3. Conclusion ECDIS is navigation e
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PO-08 Development of an Agent Based
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1. INTRODUCTION 1.1 Background of t
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Figure 2. Workflow of the semi-auto
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threshold set. GRASS 7.0 is used in
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Figure 7. Result of the application
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Ming, D. M. D., Luo, J. L. J., Shen
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PO-10 3D Visualization of City GML
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As A Service (PAAS) and Infrastruct
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Figure 2: System Architecture and D
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The resulted crowd source data cont
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Table 1: Confusion Matrix Crowd sou
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PO-12 House Number Interpolation Fo
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(DOE) has awarded a total of 82 Gri
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Most solar radiation models compute
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2. OBJECTIVES, SCOPE, AND LIMITATIO
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Figure 4. BSWM Solar Sensors for Va
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4.2 Site Suitability Analysis Inter
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5. RESULTS AND DISCUSSION 5.1 Month
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Figure 8. Monthly Average Real-sky
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Figure 19. GHI for November Figure
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Figure 26. Non-Resource Criteria Su
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Kryza, M. et al. 2010. “Spatial i
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example coordinates agents, based o
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A benefit of using multiple agents
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A local GeoServer instance was set
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Figure 3. Screen captures of search
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In combination with ranking of resu
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INTRODUCTION TO A NEW GEO-REFERENCE
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Figure 2. ‘Click-to-go’ functio
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Figure 5. The conceptual structure
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Figure 6. Software architecture of
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GIS ORIENTED SERVICE OPTIMIZATION T
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Vehicle Routing Problem (VRP) refer
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So, buffer of 2 meters was created
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log data which was the actual dista
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was being served by three vehicles.
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Analyzing the number of customers,
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PO-17 A Study of the Development an
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MODELING OF TERMINOLOGY DATABASE IN
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3.2 Interpretation of the terms 4 I
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Figure 4 shows the result of SWOT a
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Add terms in the database: Super us
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6. REFERENCES Damdinsuren A., 2013.
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PO-20 Vulnerability Assessment Usin
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LEIGHTWEIGHT URBAN COMPUTATION INTE
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where events are instantly propagat
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not be conceived as responsive by a
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3.5. Remote Services Among a few
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4. USE CASES 4.1. Transition Worksh
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to display the rank of the player i
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PO-23 Development of Opensource-bas
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Author Index Aburizaiza, Ahmad O. 2
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