1. The document discusses geo-informatics and its use for disaster risk reduction and sustainable development through digital platforms like Digital Earth and Digital Asia.
2. Key applications mentioned include public participatory GIS, adaptation for climate change, monitoring glacial lakes, and early warning systems using sensor networks.
3. The Graduate School of Media and Governance at Keio University conducts research related to global innovation systems, security, and emerging crises through its Global Security Research Center.
Floods can be hugely destructive, but they also offer opportunities for farmers and fisherfolk. If their frequency and extent can be measured, then we will be better able to mitigate costs and maximise benefits. Digital geospatial flood inundation mapping is a powerful new approach for flood response that shows floodwater extent and depth on the land surface. IWMI research will evaluate this new technology and develop a prototype flood inundation map for South Asia. Also discussed is a project to flood map and model in a spate irrigation system in Sudan.
drought monitoring and management using remote sensingveerendra manduri
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
Floods can be hugely destructive, but they also offer opportunities for farmers and fisherfolk. If their frequency and extent can be measured, then we will be better able to mitigate costs and maximise benefits. Digital geospatial flood inundation mapping is a powerful new approach for flood response that shows floodwater extent and depth on the land surface. IWMI research will evaluate this new technology and develop a prototype flood inundation map for South Asia. Also discussed is a project to flood map and model in a spate irrigation system in Sudan.
drought monitoring and management using remote sensingveerendra manduri
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
A remote sensing system uses a detector to sense the reflected or emitted energy from the earth's surface, perhaps modified by the intervening atmosphere. The sensor can be on a satellite, aircraft, or drone. The sensor turns the energy into a voltage, which an analog to digital converter turns into a single integer value (called the Digital Number, or DN) for the energy. Alternatively a digital detector can store the DN directly. We can then display this value with an appropriate color to build up an image of the region sensed by the system. The DN represents the energy sensed by the sensor in a particular part of the electromagnetic spectrum, emitted or reflected from a particular region. The principles can also be applied to sonar imagery, especially useful in water where sound penetrates readily whereas electromagnetic energy attenuates rapidly.
Definitions,
Remote sensing systems can be active or passive: active systems put out their own source of energy (a large "flash bulb") whereas passive systems use solar energy reflected from the surface or thermal energy emitted by the surface. Active systems can achieve higher resolution.
Satellite resolution considers four things: spatial, spectral, radiometric, and temporal resolution.
Electromagnetic radiation and the atmosphere control many aspects of a remote sensing system.
Satellite orbits determine many characteristics of the imagery, what the satellite sees, and how often it revisits an area.
The signal to noise ratio is important for the design of remote sensing systems.
Satellite band tradeoffs.
Interpreting satellite reflectance patterns and images uses various statistical measures to assess surface properties in the image.
The colors used on the display are gray shading for single bands, and RGB for multi-band composites. We can also perform image merge and sharpening to combine the advantages of both panchromatic (higher spatial resolution) and color imagery (better differentiation of surface materials).
Keys for image analysis
Hyperspectral imagery
Spectral reflectance library--different materials reflect radiation differently
I had to give presentation on GIS as a part of my CEC marks so here I have included all the points which are there in my curriculum and its all about Geographical Information System - GIS.
Getting It Done with limited staff, time and budget.
This slide show shares a process of developing a GIS plan and framework, shows tools to track and implement the plan, and shows examples of how the GIS plan is directly tied with City initiatives and budget.
Application of Geo-informatics in Environmental ManagementMahaMadhu2
Geo-informatics is the science and the technology which develops and uses information science, infrastructure to address the problems of geography, geosciences and related branches of engineering. “The art, science or technology dealing with the acquisition, storage, processing, production, presentation & dissemination of geo-information“. Perhaps the most important concern for all of us today is protecting the environment we live and breathe in. Climate change issues are creating havoc with erratic weather patterns affecting everything from crop production to untimely melting of ice glaciers.
There is a lot to worry about and immediate action is definitely required. It’s not that the world has not geared up to take corrective actions, but we need to do more, and Geo-informatics can help us achieve that. Geo-informatics is a powerful platform which enables every sector to perform better and the environment is no exception! Coupled with a digital map, GIS allows a user to see locations, events, features, and environmental changes with unprecedented clarity, showing layer upon layer of information such as environmental trends, soil stability, pesticide use, migration corridors, hazardous waste generators, dust source points, lake remediation efforts, and at-risk water wells. Effective environmental practice considers the whole spectrum of the environment. ArcGIS® & other GIS technologies offers a wide variety of analytical tools to meet the needs of many people, helping them make better decisions about the environment. People in the environmental management community use GIS to organize existing information and communicate that information throughout their organizations. GIS can be used as a strategic tool to automate processes, transform environmental management operations by garnering new knowledge, and support decisions that make a profound difference on our environment.
Introduction to GIS - Basic spatial concepts - Coordinate Systems - GIS and Information Systems – Definitions – History of GIS - Components of a GIS – Hardware, Software, Data, People, Methods – Proprietary and open source Software - Types of data – Spatial, Attribute data- types of attributes – scales/ levels of measurements.
Application of GIS and Remote Sensing in Flood Risk ManagementAmitSaha123
Introduction to catastrophic disaster flood. Its impact on environment and human lives. GIS and Remote Sensing based solutions that can provide key approaches to mitigate flood related hazard as well as vulnerablities.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
Maps for Solving the World’s Biggest ProblemsDawn Wright
Guest lecture for the course SIO 110, Introduction to GIS and GPS for Scientists, taught by Prof. Bernard Minster, UC-San Diego, San Diego, CA. Also presented to GEOL 371, Introduction to Geographic Information Systems, taught by Prof. James Clark, Wheaton College, Wheaton, IL.
Predictive geospatial analytics using principal component regression IJECEIAES
Nowadays, exponential growth in geospatial or spatial data all over the globe, geospatial data analytics is absolutely deserved to pay attention in manipulating voluminous amount of geodata in various forms increasing with high velocity. In addition, dimensionality reduction has been playing a key role in high-dimensional big data sets including spatial data sets which are continuously growing not only in observations but also in features or dimensions. In this paper, predictive analytics on geospatial big data using Principal Component Regression (PCR), traditional Multiple Linear Regression (MLR) model improved with Principal Component Analysis (PCA), is implemented on distributed, parallel big data processing platform. The main objective of the system is to improve the predictive power of MLR model combined with PCA which reduces insignificant and irrelevant variables or dimensions of that model. Moreover, it is contributed to present how data mining and machine learning approaches can be efficiently utilized in predictive geospatial data analytics. For experimentation, OpenStreetMap (OSM) data is applied to develop a one-way road prediction for city Yangon, Myanmar. Experimental results show that hybrid approach of PCA and MLR can be efficiently utilized not only in road prediction using OSM data but also in improvement of traditional MLR model.
I had to give presentation on GIS as a part of my CEC marks so here I have included all the points which are there in my curriculum and its all about Geographical Information System - GIS.
Getting It Done with limited staff, time and budget.
This slide show shares a process of developing a GIS plan and framework, shows tools to track and implement the plan, and shows examples of how the GIS plan is directly tied with City initiatives and budget.
Application of Geo-informatics in Environmental ManagementMahaMadhu2
Geo-informatics is the science and the technology which develops and uses information science, infrastructure to address the problems of geography, geosciences and related branches of engineering. “The art, science or technology dealing with the acquisition, storage, processing, production, presentation & dissemination of geo-information“. Perhaps the most important concern for all of us today is protecting the environment we live and breathe in. Climate change issues are creating havoc with erratic weather patterns affecting everything from crop production to untimely melting of ice glaciers.
There is a lot to worry about and immediate action is definitely required. It’s not that the world has not geared up to take corrective actions, but we need to do more, and Geo-informatics can help us achieve that. Geo-informatics is a powerful platform which enables every sector to perform better and the environment is no exception! Coupled with a digital map, GIS allows a user to see locations, events, features, and environmental changes with unprecedented clarity, showing layer upon layer of information such as environmental trends, soil stability, pesticide use, migration corridors, hazardous waste generators, dust source points, lake remediation efforts, and at-risk water wells. Effective environmental practice considers the whole spectrum of the environment. ArcGIS® & other GIS technologies offers a wide variety of analytical tools to meet the needs of many people, helping them make better decisions about the environment. People in the environmental management community use GIS to organize existing information and communicate that information throughout their organizations. GIS can be used as a strategic tool to automate processes, transform environmental management operations by garnering new knowledge, and support decisions that make a profound difference on our environment.
Introduction to GIS - Basic spatial concepts - Coordinate Systems - GIS and Information Systems – Definitions – History of GIS - Components of a GIS – Hardware, Software, Data, People, Methods – Proprietary and open source Software - Types of data – Spatial, Attribute data- types of attributes – scales/ levels of measurements.
Application of GIS and Remote Sensing in Flood Risk ManagementAmitSaha123
Introduction to catastrophic disaster flood. Its impact on environment and human lives. GIS and Remote Sensing based solutions that can provide key approaches to mitigate flood related hazard as well as vulnerablities.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 1: Introduction to GIS
Maps for Solving the World’s Biggest ProblemsDawn Wright
Guest lecture for the course SIO 110, Introduction to GIS and GPS for Scientists, taught by Prof. Bernard Minster, UC-San Diego, San Diego, CA. Also presented to GEOL 371, Introduction to Geographic Information Systems, taught by Prof. James Clark, Wheaton College, Wheaton, IL.
Predictive geospatial analytics using principal component regression IJECEIAES
Nowadays, exponential growth in geospatial or spatial data all over the globe, geospatial data analytics is absolutely deserved to pay attention in manipulating voluminous amount of geodata in various forms increasing with high velocity. In addition, dimensionality reduction has been playing a key role in high-dimensional big data sets including spatial data sets which are continuously growing not only in observations but also in features or dimensions. In this paper, predictive analytics on geospatial big data using Principal Component Regression (PCR), traditional Multiple Linear Regression (MLR) model improved with Principal Component Analysis (PCA), is implemented on distributed, parallel big data processing platform. The main objective of the system is to improve the predictive power of MLR model combined with PCA which reduces insignificant and irrelevant variables or dimensions of that model. Moreover, it is contributed to present how data mining and machine learning approaches can be efficiently utilized in predictive geospatial data analytics. For experimentation, OpenStreetMap (OSM) data is applied to develop a one-way road prediction for city Yangon, Myanmar. Experimental results show that hybrid approach of PCA and MLR can be efficiently utilized not only in road prediction using OSM data but also in improvement of traditional MLR model.
GIS 2.0, The Disaster Cycle, and It's Implications for Humanitarian Knowledge...Joshua Campbell
Presentation given at the Association of American Geographers (AAG) Annual Conference in Washington, DC on 16 April 2010. Discusses the relationship between GIS 2.0 and a conceptual model of the disaster cycle. The goal of which is to help guide the design process of a web-enabled humanitarian knowledge management system.
Experiences as a producer, consumer and observer of open dataProgCity
Peter Mooney, is an Environmental Protection Agency (EPA) funded Research Fellow at the Department of Computer Science, NUI Maynooth. He has been working with the EPA on making environmental data publicly accessibly for the last ten years.
Presentation was part of The 1st Seminar of the ERC Funded Programmable City Project based at NIRSA, NUI Maynooth, Republic of Ireland.
Visualising large spatial databases and Building bespoke geodemographicsDr Muhammad Adnan
This presentation outlines my work at the Local Futures and the PhD research. I have been working on a combined project between Local Futures and UCL and the presentation starts by giving an introduction of the project. My PhD investigated the creation of Real-time bespoke geodemographics, and this presentation presents the work i did during the PhD journey.
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online.
Water Resource Management Using Artificial Intelligence Enabled RS & GIS (1).pdfSamirsinh Parmar
RS
GIS
AI
ANI
AGI
ASI
IoT
DSS
ESRI
Artificail Intelligence
Remote sensing with AI
AI enhanced GIS
AI enhanced RS
AI Application for RS & GIS
Scope of AI in RS & GIS
Geospatial Artificial Intelligence
My special talk on 'GIS & Remote Sensing-Introduction to the Primer’ is a part of the 'Learn from the Leaders- 2' webinar series organized by IEEE SIGHT, Bombay section on May 25th, 2021
TOP CITED UBICOMPUTING ARTICLES IN 2013 - International Journal of Ubiquitous...ijujournal
International Journal of Ubiquitous Computing (IJU) is a quarterly open access peer-reviewed journal that provides excellent international forum for sharing knowledge and results in theory, methodology and applications of ubiquitous computing. Current information age is witnessing a dramatic use of digital and electronic devices in the workplace and beyond. Ubiquitous Computing presents a rather arduous requirement of robustness, reliability and availability to the end user. Ubiquitous computing has received a significant and sustained research interest in terms of designing and deploying large scale and high performance computational applications in real life. The aim of the journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field
SCCAI- A Student Career Counselling Artificial Intelligencevivatechijri
As education is growing day by day, the competition has prompted a need for the student to
understand more about the educational field. Many times the counselor isn’t available all the time and
sometimes due to the lack of proper knowledge about some educational field. Due to this, it creates an issue of
misconception of that field. This creates a problem for the student to decide a proper educational trajectory and
guidance is not always useful. The proposed paper will overcome all these problem using machine learning
algorithm. Various algorithms are being considered and amongst them the best suitable for our project are used
here. There are 3 major problems that come across our path and they are solved using Random forest, Linear
regression and Searching algorithm using Google API. At first Searching algorithm solves the problem of
location by segregating the college’s location vice, then Random Forest provides the list of colleges by using
stream and range of percentage and finally Linear Regression predicts the current cutoff using previous years’
data. Rather than this, the proposed system also provides information regarding all fields of education helping
students to understand and know about their field of interest better. The following idea is a total fresh idea with
no existing projects of similar kind. This project will help students guide them throughout.
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
Presented in the ASEAN Cooperation on Utilization of Space Technology for Disaster Management Seminar, 11th Aug 2010 at Miracle Grand Convention Hotel, Thailand. Hosted by GISTDA
1. Dr. Hiromichi FUKUI Professor, Faculty of Policy Management, Global Security Research Center, Keio University [email_address] Future Direction of Geoinfomatics/ICT for Disaster Risk Reduction 11, August, 2010 ASEAN Cooperation Project on Utilization of Space Technology for Disaster Management
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5. Core Research Subjects in GSEC Studies on Global Innovation Systems Studies on Asian Security System Studies on Emerging Crises for Human Security Policy, Economy, Society, Energy, Environment, Food,…… From alert to strategy studies on Security with a view to generating objective assessments and policy recommendation Decision Support Systems ( alert, …) Data Base G lobal Sec urity Research Institute Digital Earth for Planetary Emergency Monitor for Watch Modeling for Warning
6. Three Layers Model in Geo-Informatics Cognition of change in Environment and space Simulation Synthesis Equation of potential/ continuity Process Model Creation of Value, Belief, Idea, Principle Modeling for human behavior and information flow Monitoring Sensing observation/ field Work GIS ・ RS Dissemination Distribution Behavior norm Policy Making Consensus Making Urban area g-contents , SDI g-life, go-enabling society
20. RECONSTRUCTION OF PAST G eographic I nformatio n on GIS Process Model Vegetation Soil Climate Multivariate Statistics Markov Model Agent-based Model Ecosystem Model Ecosystem Landscape Properties Management GI – Ecosystem Studies Integration Prediction of the effects of Environmental Change Risk Assessment, Sustainable land use,… Remediation, Restoration,….
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22. Public Tools & Technology Tools & Technology Applications Enabling Citizens and Communities Enabling Citizens and Communities Interoperability Interoperability Collecting Data Collecting Data EARTH EARTH Private Digital Resources Digital Resources Understanding Digital Earth (White paper by NASA Digital Earth office, 2000)
23. Digital Earth (DE) History 1999 -1 st Inter. Sympo., CAS, Beijing , China, Towards DE Established “International Steering Committee for ISDE 2001 -2 nd Inter. Sympo., New Brunswick , Canada, Beyond Inf. Infra . 2003 -3 rd International Symposium, Brno , Czech Rep. DE -- Information Resources for Global Sustainability 2005 -4 th International Symposium, March 28-31, Tokyo , Japan DE as the Global Commons 200 6 -1 st International Society of Digital Earth launched on May 21, at Beijing New ISDE kicked off 2007- 5 th International Symposium, June 5-9, San Francisco, USA Grand challenge Digital Earth 3D visualization Contest 2009-6 th International Symposium, September 12-15, Beijing, China. New stage of developing the Digital Earth
24. Nature Vol.439, 16 February,2006 Mapping for the MASSES “ Just as the PC democratized computing, so systems like Google Earth will democratize GIS.” Google Earth Population >200,000,000 Michael Jones CTO, Google Earth at Map World Forum 2007, India
25. Framework of Digital Earth Network Providers IP backbone for Internet, Intranet and Extranet Network security Managed network services Network Service Providers Network access Network security administration Distributed hosting Secure messaging and transaction processing Application & Content Providers Global Network Infrastructure Service Providers • Consumer services (e.g. electronic commerce) • Business services (e.g. supply chain mgmt) • Government services (e.g. emergency response) Industry Business Govern -ment Univer -sity Citizen Ubiquitous Geo-processing Environment Communications and collaboration Information search and exchange Web applications (e.g. electronic catalogs) Content production EDI Digital Map Statistics Images Clearing- House for Admini. Semantics Transfer Data Conversion Compression Ontology Clearing- House for Public National Spatial Data Infrastructure Government Environment Tourism Education Disaster Management Population Food Problems Emergency Management Medical Services Urban Development ITS, etc. Evaluation, validation by user From social context
26. The Earth is a complex system of systems : GEO Data are required from multiple observation networks and systems
27. Sensor Web Concept View Image from the NASA report ESTO AIST Sensor Web Technology Meeting Feb 2007
28. Global Earth Observation System of Systems ( GEOSS ) EO from space provides valuable information to feed early- warning systems
30. Approaches for GEOSS Interoperability Data and information need to be interoperable They have to be described with “languages” translatable to each other.
31. GEOSS Component and Service Registry GEOSS Standards and Interoperability Registry Best Practices Wiki User Requirements Registry Registries Main GEO Web Site GEOSS Common Infrastructure (GCI) Metadata; Summary of contributed resources Showcase to visualize contributed resources Supporting metadata design and use Services Data and information Websites/ Portals Contributed Resources GEOSS Clearinghouse GEOSS Clearinghouse GEOSS Clearinghouse GEO Web Portal GEO Web Portal GEO Web Portal enabling transverse data search Users Access to the original resources
33. Bangladesh Vietnam Laos Philippines Mongolia Sri Lanka Pakistan Indonesia Myanmar Cambodia Thailand Japan Korea Bhutan India Uzbekistan Malaysia China Nepal Why m etadata are needed? And how can we d evelop? In case of Asian Water Cycle Initiative…… Case study river basins
34. Without M etadata, you have to check all River Basin Data files. Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Very time consuming! I want to select a river basin with the size less than 1000km2 and annual rainfall more than 1500mm
35. With M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB Metadata Summary of data with standard “language” River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・
36. With M etadata, we can easily browse the summary of the All Data Files! Data File Data File River basin Data File Data File River Basin Data File River Data File River Data File Data File River Data File River Data File River Basin Data File DB River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ River_Basis_Area: ・・・・ Annual Rainfall: ・・・・・ ・・・・・・・・ I want to select a river basin with the size less than 1000km2 and annual rainfall more than 1500mm
37. Geo-enabling Society Using Integrated, Shared, Interoperable GIS Interoperable GIS platform Governmental Municipality University, School Public facilities Enterprise Resident
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39. Feature service Validation and Evaluation Through Internet Citizen Site Management Standalone GIS Handicap Supporting Site Geo-coding Services Other Data Providing Services Satellite Image Residential Map Spatial Dictionary ( Gazetteer ) Geo-Browser Internet NSDI, GSDI, GM Data Providing Services Environment Site Bulletin Board Communication Site Crisis Management Site Data Input Providing Spatial Data Common Services Interface NGO,NPO operating Site Cooperation with GIS SOHO Hazard Mapping Environmental Information Data Input Providing Data Input Providing Data Input Providing Move to Spatial Information Infrastructure Risk Communication Facilities Buildings Feature Service Common map ( road, water, Boundary, etc. ) Environment Information Barrier Information Public Opinion Hazard Data Private Map Services Co. Membership Minimum Fee Communication Server Geo-Browser Geo-Browser Geo-Browser Barrier free map Evolution of Contents by Participatory GIS
40. Interoperable GIS … WMS: Web Mapping Service (ISO-19128) … WFS: Web Feature Service (ISO-19142) … WCS: Web Coverage Service (ISO-191xx) else: WPS, SOS, OLS, etc. Before After Stand-Alone WebGIS PDF Image (jpg, png, gif, etc) Internet Internet Image data (jpg, png, gif) Vector data (point, line, poly) Mesh data International Standard
41. Voluntary GI Interoperability Local people Local Gov . Research Institute University Hazard Map for Flood Proposed by Local Gov. Voluntary GI Integrated GIS Hazard map Simulation Semantic Map GI platform
42. New fact finding and missing link finding Local people Matching between Local people and Government Image Fact finding Observation landslide Hazard Map Interoperable GIS Municipality Government ① ②
45. Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment Ontological Crawler Application Services By Grid Computing Social Natural Measuring the Real State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) Media Browser
47. Geo Web Services : Digital Asia Platform for data sharing Sensor Web IFnet GFAS JMA MTSAT ISRO IRS KARI KOMSAAT-1 JAXA ALOS Data Applications (Thick Client) Decision Support System Forcasting ・ Risk Assessment ・・・・ WFS WMS WCS Cat Gaz Internet @KEIO Digital Asia Internet Geospatial One-Stop Portal User Interface Widgets Analysis Symbols Help Web Browser (Thin Client) Services Sentinel Asia, Disaster Management SS, ・・ Interoperable Web-GIS Web-services Clearinghouse standard
48. From Digital Earth Server in Keio From Organization A (population) GPS equipped mobile device registered Data through Digital Earth Server From Organization B (HotSpot FTPserver) Overlay Socio-Economic data Ground Truth, HotSpot etc. Satellite Image Map Overlay Image From Organization C From Organization D From Organization E From Organization E From Digital Earth Server in Keio Retrieving by Space and Time to access Distributed Data Server APRSAF
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50. Digital Asia Node Network 1. AIT/(GISTDA), Thailand 2. LAPAN, Indonesia 3. Survey Department, Sri Lanka 4. Institute of Geography/VAST, Vietnam 5. ICIMOD 6. UNEP-AP 7. National University Mongolia 8. GI, Bhutan ……
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53. Near Real time Monitoring Remote Sensing Data Processing Digital Asia : Gateway for Global Security 3D-Geo and Time Browser Ubiquitous Computing Environment Ontological Crawler Application Services By Grid Computing Social Natural Measuring the Real State of the World Decoding the Earth and Human Evolution Towards Intersubjectivities Global Trends Data Resources EO, SDI Spatial Statistics News, Comments Web log Digital Asia Research Centre for Strategic Design, Keio University Academic Frontier Project, Matching Fund Subsidy from MEXT(2004-2009) 人間が受け止めた事象 客観的な変化 Media Browser
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55. How we use Ontology on the Digital Asia Project There are enormous information one the web, but accurate information are few… An accuracy of the news contents are high, and the frequency of updates and volume of information are steady, so the quality of the text mining is accurate.
62. Sentinel Asia Project Sentinel Asia APRSAF* Space Community Satellite Image Content Promotion of Utilization Capacity Building Web-GIS Data / Meta Data Management Information Sharing Platform Content Digital Asia Digital Earth / Web-GIS Community Digital Map Social / Economic Data Satellite Image Disaster Reduction Community Disaster Information Content Utilization (User) ADRC** Member Countries UN / ESCAP UN / OOSA ASEAN AIT etc. International Community International Cooperation ** Asian Disaster Reduction Center Joint Project Team (JPT) Join Project Team consists of total 52 organizations including 45 agencies from 19 countries and 7 international organizations as of January 2007 * Asian Disaster Reduction Center * Asian-Pacific Regional Space Agency Forum
70. Evaluation of HotSpot Detection Algorism using GIS http://arrs.adrc.or.jp/adrc/MyMap/wildfire_0703/index.jsp Thai Chiengmai ALOS Field Survey MODIS MTSAT
79. Integrated GIS and Disaster Management , Flood and Landslide Hazard and Risk Mapping
80. GIFU Prefecture JAXA Furusato GIS Center ① ALOS Satellite Image ② Hazard Area Detection Integratede GIS From JAXA From GIFU Request User Disaster Real Time Information GIS User in Disaster Div. Ground Truth and Survey User Sentinel Asia and Integrated GIS
84. Future Use in Emergency Responce and Disaster Recovery by GIFU Integrated GIS and Sentinel Asia GIFU JAXA Escape and Support Route Flooded House ALOS Image Hazard Map Base map Flood Detection
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86.
87. IPCC SPM repot (2007) Himalaya as a global warming front as The Third Pole
88. Impact of climate change is well observed in the Himalayan The warming in the Himalayas in last three decades has been between 0.15 °C - 0.6 °C per decade (ICIMOD) Several studies show that most of glaciers in Himalaya are shrinking at accelerated rates in recent decades - Melting Glaciers, - Growing Glacial lakes, and - Glacial lakes Outburst Floods (GLOFs)
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90.
91. The UN's climate science panel has admitted it made a mistake in asserting that Himalayan glaciers could disappear by 2035.
92. “ we can state that the majority of glaciers in the region are in a general condition of retreat, although with some regional differences” “ although the lack of information and knowledge about the glacier melt processes in the Himalayas has been used to politicise the larger issues, the positive aspect of the debate has been the immense awaareness created at various levels including politicians, decision makers, the media and the public at large”
93.
94. The Himalayan mountain system developed from the powerful earth movements which occurred as the Indian plate pressed against the Eurasian continental plate. Main Central Thrust
97. Keio Unv. ADRC** ICIMOD International Community ** Asian Disaster Reduction Center Glacial Lake Outburst Flood Monitoring Working Group Framework of GLOF WG ADRC GLOF Projects (Bhutan, …… ) ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Monitoring Glacial Lake ・ Field Survey ・ Hazard /Risk Mapping JAXA Secretariat ・ Sup p ort WG ・ Create HP ・ Field Survey ・ Hazard/ Risk Mapping ・ Capacity Building ・ Outburst Flood Simulation http://gibson.sfc.keio.ac.jp/Website/windpower/ ICHARM
104. Triggers of GLOF http://wwwsoc.nii.ac.jp/ajg/ejgeo/210124iwata.pdf
105.
106. Towards International Rescue Base GIS Center Disaster Medical Care Center Disaster Equipment Center Risk Communication Risk Consultant Cooperation Collaboration Thunderbird ? http://laird.fluid.energy.osakafu-u.ac.jp/Mworld/thunderbird/models-tb.html Shift to Operational MODE !
The Earth is a complex system of systems, and to understand it, data is required from multiple observation networks and systems. A Global Earth Observation System of Systems is required to meet the challenge
On the other hand, we have a number of Outcomes or observation data May not be collected or integrated or analysed To support better decision making. Same kinds of demands or request are now directed toward the earth observations, including ocean observations.
In 200 8 , ADC continuously focused its efforts to Design, Upgrade and Deploy the GEOSS Architecture During 2008 several components became operational During 2008 the Standards and Interoperability Forum (SIF) was set-up. This forum works with contributors in clarifying issues related to interoperability arrangements and addressing gaps in existing standards. For more active coordination globally, regional SIFs for America (north and south), Europe, Asia and Africa are being formed and have begun participating in the SIF process In addition ADC has produced some relevant documents and guidelines to facilitate understanding of GEOSS architecture, registration of components and use of GEOSS services .
This system can deliver geospatial data or map with WMS, WFS or WCS. The system can connect clearinghouse which has metadata of those data. In clearinghouse, user can search map or geospatial data. Delivered map or geospatial data can be seen by other software or system which comply with WMS, WFS or WCS. For expample, Google Earth supports WMS. These systems is developed using FOSS4G. FOSS4G is Free Open Source Software for Geospatial. It is free open-source software. Based on FOSS4G, you can develop new software easily. FOSS4G contain basic program to handle map or geospatial data.
To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
To understand global observation data, It is necessary to look over many fields and we have to understand many technical terms such as biology term, hydrology term, also, landuse classification schema. In addition, we may need to look over many language such as Thai, Chinese, Korean, Japanese.
This shows the Goal Image of Disaster Management Support System, Step 3, after 2010. JAXA hopes to expand the service by sharing disaster information obtained by positioning satellite, very large mobile communication satellite, Ultra high-speed communication satellite and earth observation satellite in the future.
The Himalayan mountain system developed from the powerful earth movements which occurred as the Indian plate pressed against the Eurasian continental plate.