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Figure 8. Development environment for monitoring system 3.2.2 Design and realization of open-pit mine monitoring system The open-pit mine monitoring system should be composited in a way that anyone can easily use. Therefore, the intention was to design an intuitive and practical UI (User Interface). Crucial functions considered to be required for the monitoring system were divided into basic function and analysis function. Basic function is a function that provides basic information concerning the monitoring mine and command to express changes of the mine in 3D. Analysis function is a function which allows users to analyze points of interest in the case that users are aware of a mine’s operating and restoring plan and alterations caused by changes in elapse of time. The open-pit monitoring system is developed with an information window that provides a search engine that would find a mine of interest, operation status of the searched mine, type of mineral mined and the address of the mine. Also, functions showing mining, and restoration layouts, present and past forms, residual DEM, and true elevation and topographical angle of any set point in mines are being developed to enhance the effectiveness and efficiency of the system. The start-up screen of the monitoring system is planned to be visualized as shown in Figure 9. Current progress of the research focuses on 3D Viewing and comparison between DEM and mining region’s elapsed image. More effort is put in to continuously improve the monitoring system. Figure 9. Composition of start-up screen of the monitoring system 3.3 Database upgrade for efficient monitoring The open-pit mine monitoring system has to be updated at all times, in terms of digital ortho image and DEM, to detect and analyze change of open-pit mines, and should be capable of constant data upload and comparison with elapsed data. Therefore, methods concerning the upgrade of ortho image and DEM data on Cesium, the geospatial information Instructions for authors 106
open platform utilized in open-pit mine monitoring system, were established. Figure 10 is the process and method for data upgrading of digital image and DEM. Figure 11 is diagram of combined database construction for open-pit mine monitoring system. Figure 10. Main process of DB construction for the monitoring system Figure 11. Construction of combined DB for monitoring system 3.3.1 Methods of upgrading digital image The coordinate system of Cesium is WGS84, converted from coordinates of orthoimage utilized for upgrading the monitoring system. To register and issue the ortho-image with converted coordinates on GeoServer, work space and repository, along with a layer should be created, and the image should be issued in Geotiff format. Finally, using Image Provider, the ortho-image and GeoServer are linked to visualize newly registered image on Cesium. Figure 12 is a workflow of the process concerning the upload of ortho-images on Cesium, while Figure 13 shows an example of an uploaded ortho image expressed in Cesium. Due to the difference in color impression between uploaded and background images, the uploaded image needs refinement; such problem will be minimized as histogram and color matching are rebalanced. FOSS4G Seoul, South Korea | September 14 th – 19 th , 2015 107
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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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Page 57 and 58: 3.2.1 Data inputs The styler accept
Page 59 and 60: determine the radius (both in the x
Page 61 and 62: Figure 5: Map classification of blo
Page 63 and 64: 4.3 Point data Figure 8: Diverging
Page 65 and 66: 4.4 Non-spatial visualisations Figu
Page 67 and 68: 6 ACKNOWLEDGEMENTS The Cooperative
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Page 75 and 76: H 27 Male Student Maths / Geography
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Page 81 and 82: 2. RELATED WORK Recent developments
Page 83 and 84: 3. Significance and Objectives With
Page 85 and 86: Figure 3. Map Tiles Grid Selection
Page 87 and 88: The Ceph architecture comprises of
Page 89 and 90: Boundless, 2015. GeoExplorer — Ge
Page 91 and 92: Object-Based Building Boundary Extr
Page 93 and 94: 2.2. A Grid-Based Algorithm A grid-
Page 95 and 96: 3.1 Boundary Extraction The extract
Page 97 and 98: The Development of Web3D-based Open
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Page 101 and 102: Monitoring concept on operating asp
Page 103 and 104: (a) Mining area (Left:2007, Right:2
Page 105: geospatial information open platfor
Page 109 and 110: Data Acquisition Methods Acquisitio
Page 111 and 112: (a) Ecological Restoring Area 1 (Le
Page 113 and 114: possibility of development of open-
Page 115 and 116: 2. DATA ACQUISITION 2.1 Image gathe
Page 117 and 118: Hugin Pix4Dmapper Pablo d'Angelo et
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Page 123 and 124: platforms, which are easy to use an
Page 125 and 126: SWE framework proposes the followin
Page 127 and 128: Steenkamp et al. (2009) state that
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Page 131 and 132: Measurement value yes Measurement s
Page 133 and 134: 4.3.1 Explore The explore view allo
Page 135 and 136: Figure 8. Registration of a generic
Page 137 and 138: participants completely agree with
Page 139 and 140: 467 - 471. Sohraby, K., Minoli, D.,
Page 141 and 142: In augmented reality a live view of
Page 143 and 144: Figure 4. Dwellings in an informal
Page 145 and 146: 1. Gen eral crite ria 1.1. Platform
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Page 149 and 150: 1.4. Implemented standards OGC ARML
Page 151 and 152: 2.3. Object events 2.4. Display rad
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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
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Research Centre (ARRC) and the Nati
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Developing a land use database of t
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Figure 3. Land use input applicatio
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Paddy 19.4 23.7 Upland field, orcha
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Figure 6. Overlay point based land
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Integrating Open Source GIS Softwar
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Advanced GIS course, we recognized
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for undergraduates. Research take t
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Figure 8 The USDA Foodshed project
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4. Data is sent to the web pages ei
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Advances in Civic Co-management wit
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2. JAKARTA'S DISASTER RISK MANAGEME
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The aim of the system is to improve
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8. REFERENCES Baker, J. L., 2012. (
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EVALUATION OF AN OPEN-SOURCE COLLAB
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therelevant stakeholderswith differ
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at each stage of the exercise: · l
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differentmitigationmeasuresaccordin
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students before the exercise. 5 4 3
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the third stage of the exercise in
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doi:10.1016/j.envsoft.2003.12.019.
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e integrated directly in the Web-GI
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3. Implementation The main features
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Phase 1: Earthquake data Input Data
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Figure 4 . Magnitude 7.8 Earthquake
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After adding all the layer maps, th
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EVALUATING FLOOD HAZARD POTENTIAL I
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σ 0 = 10*log 10 (DN 2 ) + CF (1) W
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Figure 4. The geomorphological feat
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from water class in land cover map
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ANALYSIS OF SPATIAL DENSITY UTILIZI
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demographic data. He also states th
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Table 1. The combination of COUNTRY
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NUMBER OF SUBSCRIBERS 300,000 250,0
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Figure 9. The number of foreign tou
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Figure 16. Spatial call activity pa
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Recently, additional tourist inform
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country. It uses R-Studio, a statis
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Geosocial Big Data Analysis Using P
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AN ON-BOARD VISUAL-BASED ATTITUDE E
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3.1 Keypoints detection and matchin
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complete the process. This has been
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Fleet, D., & Weiss, Y. (2006). Opti
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technologies in Geoinformation Scie
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technologies becomes irrelevant in
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Figure 2. Server (upper block) and
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Name Presence Description Table 1.
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SampleExtraApp sampleExtraApp annot
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4. RESULTS Summing up, we should no
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Paradigms. John Wiley & Sons Inc.,
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FREEWAT: FREE and open source tools
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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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