The needs on big data management for Operational Geo-Info Services: Emergency Response, Maritime surveillance, Agriculture Management

Size: px
Start display at page:

Download "The needs on big data management for Operational Geo-Info Services: Emergency Response, Maritime surveillance, Agriculture Management"

Transcription

1 Copernicus Big-Data Workshop 2014, 13/14 March The needs on big data management for Operational Geo-Info Services: Emergency Response, Maritime surveillance, Agriculture Management Marco Corsi e-geos 1

2 Introduction Emergency management Maritime surveillance Agriculture management Conclusions 2

3 INTRODUCTION A digital world with continuous real-time updates from different sources (social media, remote sensing, on-line resources etc.) Organize and process data to help users making better decisions on various domains: Emergency management, Maritime Safety, Agricultural planning 3

4 EMERGENCY e-geos Emergency Mapping Service is made of hardware and software resources human resources (25 engineers on shift) procedures devoted to a rapid and effective response to emergency requests exploiting Optical and SAR satellite information. The Service is available 24/7/365 e-geos Emergency Management Center Emergency Activities: Satellite tasking Image analysis and map production News monitoring to anticipate sat. tasking Procedures review and training Maintenance of reference geodatabase 4

5 Floods Earthquakes eference Maps re event situation elivery time: 6 hours after activation Humanitarian crisis amage Assessment Maps ost event situation elivery time: 3 hours after EO data avail. Fires Oil spill / Ship detection 5

6 EMERGENCY DATA Quick access to available Data for pre event situation maps Catalogues and data harmonization is a key task Standard symbolysm and data structure Data refinement and gap filling Well trained staff available on shift 24/7 is a key asset Quick access to crisis data for post event situation maps Mainly satellite data suitable for the specific type of disaster Other data (including social data): complementing the crisis mapping from satellite data 6

7 EMERGENCY DATA e-geos Geodata Toolkit It is the e-geos solution that provides a simple single entry point to access harmonized heterogeneous geospatial data resources with local or global coverage to be further used in other applications. e-geos Geodata Toolkit can be used to quickly retrieve over a specific AOI: base vector layers (OSM, Geonames, GADM, GAUL, Wikimapia, ) Such heterogeneous data are harmonized in the data model to be immediately ready to use Frequently changing sources (e.g. OSM) are regularly updated in the local copy satellite imagery (MODIS, Landsat, national orthomosaics) Accessed both as webservices and as physical raster files elevation data (SRTM90, ASTER, EUDEM) weather forecasts (OWM) other data that have a spatial component (CSK catalogue, Flickr, ) e-geos Geodata Toolkit is fully open source (Postgres/PostGIS, Python, GDAL) and it is designed to fit distributed access to resources (Master node + Slave nodes). 7

8 Very detailed Base maps can be generated in less than 30 minutes using Open Geodata only thanks to: - Single point access to all resources needed - No time wasted in accessing different resources from different entry points - Harmonized data model with unique representation of features - Availability of standard representation rules (symbolysm) 8

9 Activation Oklahoma City Tornado Event description: On the afternoon of May 20, a large, violent tornado touched down west of Newcastle, Oklahoma and impacted the town of Moore, causing severe damage to residential areas as well as Plaza Towers and Briarwood Elementary schools. The Oklahoma Office of the Chief Medical Examiner has confirmed several fatalities, at least 200 people injured. Triggering entity: e-geos Autoactivation e-geos has been proactively acquiring COSMO-SkyMed images befor and after the event, genearting damage assessment maps provided to US Government. e-geos has been regularly acquiring also optical data for optical-sar combined analysis. 9

10 Damage assessment map generated less 24 hours after the event by analyzing and georeferencing information from open data (tweets, video, ) 10

11 Damage assessment map generated based on WorldView-1 image acquired on May 22nd,

12 EMERGENCY BIG DATA NEEDS Operational use of social network and crowdsourcing (videos, cameras, VGI etc.) Increase the number of sources of open-data and open catalogues Sustain with new technologies the data growth 12

13 MARITIME Ship Detection Map and Report showing information on: number, position, velocity, type of detected ships correlation with AIS or sat-ais, VMS, LRIT (if available) meteo data plus wind and wave fields extracted by SAR images COSMO-SkyMed ASI 13

14 MARITIME Oil Spill Map and Report showing information on: slick location number of detected slicks in the image oil slick confidence assessment Optional Global Wind and Wave information COSMO-SkyMed 2 StripMap HIMAGE - 5m resol. Ascending Orbit, Left Looking, VV Pol. 25 November 2011, Campos Basin, Brazil COSMO-SkyMed ASI 14

15 MARITIME DATA NRT requirement (about 30 min after acquisition) VMS sources for correlation Multiple acquisitions of SAR/Optical imagery 15

16 MARITIME CSK1 HI Data 30/12/ :04:00 16

17 MARITIME CSK1 HI Data 30/12/ :04:00 CSK1 HI Ship Detection Report (20) 17

18 MARITIME CSK1 HI Data 30/12/ :04:00 CSK1 HI Ship Detection Report (20) AIS Data 30/12/ :00-06:00 18

19 MARITIME CSK1 HI Data 30/12/ :04:00 CSK1 HI Ship Detection Report (20) AIS Data 30/12/ :00-06:00 VMS Data 30/12/ :00-06:00 VMS extrapolated at CSK1 Time 19

20 MARITIME CSK1 HI Data 30/12/ :04:00 CSK1 HI Ship Detection Report (20) AIS Data 30/12/ :00-06:00 VMS Data 30/12/ :00-06:00 VMS extrapolated at CSK1 Time Not Correlated Ships 20

21 MARITIME Multiple acquisitions from different sensors allow a real monitoring of an area 21

22 MARITIME BIG DATA NEEDS Multi-mission approach to allow autocorrelation Use the growing number of VMS sources for correlation Use other data sources like MetOc products 22

23 AGRICULTURE Agricultural GeoDataWarehouse (GDWH) is a decision support system that combines GIS and Business Intelligence (BI) technologies in order to support the whole agriculture cycle from the monitoring and optimization of crops to the analysis of the environmental and economic impact of phenomena like soil erosion, climate change, disasters (flood) and drought The application is an efficient instrument to access, explore and analyze available information, turning large amounts of raw and often uncorrelated data into knowledge. 23

24 AGRICULTURE USERS Basic Users These users have no specific knowledge about the system and they simply browse the different GDWH thematic areas and are able to generate and visualize reports with specific hierarchical level for different time and geographic frameworks. Expert Analysts These users have a greater understanding of the GDWH mechanisms and they are able to define their own thematic areas, generate reports with customized contents. Administrators These users are able to generate thematic areas and predefined reports to be used by the Basic Users. All the users, simply browsing the available functionalities, are able to perform geospatial analysis; for example: neighborhood or proximity analysis hierarchical browsing (drill down and roll up) comparison with predefined thresholds, adjustable for different geographic reference areas 24

25 AGRICULTURE EXAMPLES TRIGGERS FILTERS PUNCTUAL ANALYSYS 25

26 AGRICULTURE DATA Already at the edge of big-data (several TB of vectors which are growing faster, 20 years of historical data) Growing data processing needs in terms of multi-temporal geospatial analysis Growing number of external data for Geospatial analysis 26

27 AGRICULTURE MULTI-TEMPORAL GEOSPATIAL ANALYSIS Multi-temporal geospatial analysis has been provided in specific frameworks from the intersection and correlation of heterogeneous information such as: Spatial distribution of farms in terms of: Cadastral and eligible surfaces Consistency of zoo-technical distributions Aid applications and payments Characterization in terms of: Morphological parameters (elevation, exposition, slope) Areas of particular environmental interest Land cover/agronomic use Indicators and other relevant information for the monitoring of National Rural Network: PSN National Development Plan for Rural Development Leader approach for local rural projects Bee population, health and honey production Evaluation of potential impact on agriculture (number of affected farms, total surfaces, etc.) derived from national erosion-landslide risk map 27

28 AGRICULTURE BIG DATA NEEDS Increase capability on Geospatial Analysis (e.g. historical data analysis, simulated risk maps) Increase the use of EO data into the analytics Use Cloud technology (e.g. Map- Reduce spatial analysis) to sustain the volume of growing data (sensors on the tractors) in the future years (smart agriculture) 28

29 Thanks! 29

Chapter Contents Page No

Chapter Contents Page No Chapter Contents Page No Preface Acknowledgement 1 Basics of Remote Sensing 1 1.1. Introduction 1 1.2. Definition of Remote Sensing 1 1.3. Principles of Remote Sensing 1 1.4. Various Stages in Remote Sensing

More information

From Whitehall to orbit and back again: using space in government

From Whitehall to orbit and back again: using space in government From Whitehall to orbit and back again: using space in government 18 th June 2014 Bristol 25 th June 2014 Liverpool 3 rd July 2014 -Newcastle Space for Smarter Government Programme (ssgp@sa.catapult.org.uk)

More information

PETROBRAS Orbital Sea Surface Monitoring

PETROBRAS Orbital Sea Surface Monitoring PETROBRAS Orbital Sea Surface Monitoring Performed by : Contingency Control - Exploration & Production Area Technical support: R&D Center Cristina Bentz PETROBRAS R&D Center Environment Assessment and

More information

The Challenges of Geospatial Analytics in the Era of Big Data

The Challenges of Geospatial Analytics in the Era of Big Data The Challenges of Geospatial Analytics in the Era of Big Data Dr Noordin Ahmad National Space Agency of Malaysia (ANGKASA) CITA 2015: 4-5 August 2015 Kuching, Sarawak Big datais an all-encompassing term

More information

Geospatial 2.0 Adrien Muller

Geospatial 2.0 Adrien Muller Geospatial 2.0 When Machine Learning meets Earth Observation imagery Adrien Muller Business Innovation Satellite Applications Catapult 13th June 2016 Agenda 10:00 10:10 Welcome and introduction Adrien

More information

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY.

ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI THE PREMIER SOFTWARE FOR EXTRACTING INFORMATION FROM GEOSPATIAL IMAGERY. ENVI Imagery Becomes Knowledge ENVI software uses proven scientific methods and automated processes to help you turn geospatial

More information

Bhuvan. Indian Earth Observation Visualization. Indian Space Research Organisation. http://bhuvan.nrsc.gov.in. Multi Resolution. Societal Applications

Bhuvan. Indian Earth Observation Visualization. Indian Space Research Organisation. http://bhuvan.nrsc.gov.in. Multi Resolution. Societal Applications Multi Resolution Bhuvan Societal Applications Indian Earth Observation Visualization http://bhuvan.nrsc.gov.in 3D Geographic Models Seamless Fly Through Indian Space Research Organisation Thematic Vectors

More information

June 2011. TerraSAR-X-based Flood Mapping Service

June 2011. TerraSAR-X-based Flood Mapping Service June 2011 TerraSAR-X-based Flood Mapping Service Service TerraSAR-X-based Flood Mapping Product Flood extent map Product specifications Flood mask / water mask Input / output data Summary Content Date

More information

Point Clouds: Big Data, Simple Solutions. Mike Lane

Point Clouds: Big Data, Simple Solutions. Mike Lane Point Clouds: Big Data, Simple Solutions Mike Lane Light Detection and Ranging Point Cloud is the Third Type of Data Vector Point Measurements and Contours Sparse, highly irregularly spaced X,Y,Z values

More information

ArcGIS Data Models Practical Templates for Implementing GIS Projects

ArcGIS Data Models Practical Templates for Implementing GIS Projects ArcGIS Data Models Practical Templates for Implementing GIS Projects GIS Database Design According to C.J. Date (1995), database design deals with the logical representation of data in a database. The

More information

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared.

A GIS helps you answer questions and solve problems by looking at your data in a way that is quickly understood and easily shared. A Geographic Information System (GIS) integrates hardware, software, and data for capturing, managing, analyzing, and displaying all forms of geographically referenced information. GIS allows us to view,

More information

Advantages and limitations of using satellite images for flood mapping

Advantages and limitations of using satellite images for flood mapping Advantages and limitations of using satellite images for flood mapping Domenico Grandoni e-geos Headquarter Contrada Terlecchie 75100 Matera - Italy Commercial Office Via Cannizzaro 71 00156 Roma - Italy

More information

GIS for Educators. Overview:

GIS for Educators. Overview: GIS for Educators Topic 5: Raster Data Objectives: Keywords: Understand what raster data is and how it can be used in a GIS. Raster, Pixel, Remote Sensing, Satellite, Image, Georeference Overview: In the

More information

The Use of Geographic Information Systems in Risk Assessment

The Use of Geographic Information Systems in Risk Assessment The Use of Geographic Information Systems in Risk Assessment With Specific Focus on the RiVAMP Methodology Presented by Nadine Brown August 27, 2012 Climate Studies Group Mona Climate Change Workshop Presentation

More information

Earth Observation Group

Earth Observation Group Centrum Badań Kosmicznych Polskiej Akademii Nauk of the Polish Academy of Sciences Aleksandra Grzegorczyk, Sebastian Aleksandrowicz Tel: (+8) 22 9 66 286 Fax: (+8) 22 8 03 131 e-mail: agrzegorczyk@cbk.waw.pl

More information

Combining automated satellite based flood mapping with exposure mapping for flood risk assessment and management

Combining automated satellite based flood mapping with exposure mapping for flood risk assessment and management DLR.de Chart 1 > United Nations/Germany Expert Meeting > A. Twele and F. Hummel > 05 06 2014 Combining automated satellite based flood mapping with exposure mapping for flood risk assessment and management

More information

Review for Introduction to Remote Sensing: Science Concepts and Technology

Review for Introduction to Remote Sensing: Science Concepts and Technology Review for Introduction to Remote Sensing: Science Concepts and Technology Ann Johnson Associate Director ann@baremt.com Funded by National Science Foundation Advanced Technological Education program [DUE

More information

Istanbul Technical University-Center for Satellite Communications and Remote Sensing (ITU-CSCRS)

Istanbul Technical University-Center for Satellite Communications and Remote Sensing (ITU-CSCRS) Istanbul Technical University-Center for Satellite Communications and Remote Sensing (ITU-CSCRS) Istanbul Technical University, Center for Satellite Communications and Remote Sensing (ITU-CSCRS) was originally

More information

INSPIREd computing for EO Based Services

INSPIREd computing for EO Based Services INSPIREd computing for EO Based Services Paolo MANUNTA 1, Giulio CERIOLA 1, Jens STUTTE 1 1 Planetek Italia s.r.l Via Massaua 12 I-70132 Bari E-Mail: manunta@planetek.it Workshop Big Data Roma, 26/11/2013

More information

The use of Satellite Remote Sensing for Offshore Environmental Benchmarking

The use of Satellite Remote Sensing for Offshore Environmental Benchmarking The use of Satellite Remote Sensing for Offshore Environmental Benchmarking Michael King Fugro NPA Limited Fugro NPA (Formerly Nigel Press Associates) World leading Satellite Remote Sensing & Geoscience

More information

Geospatial Software Solutions for the Environment and Natural Resources

Geospatial Software Solutions for the Environment and Natural Resources Geospatial Software Solutions for the Environment and Natural Resources Manage and Preserve the Environment and its Natural Resources Our environment and the natural resources it provides play a growing

More information

Rapid Visualization with Big Data Analytics. Ravi Chalaka VP, Solution and Social Innovation Marketing

Rapid Visualization with Big Data Analytics. Ravi Chalaka VP, Solution and Social Innovation Marketing Rapid Visualization with Big Data Analytics Ravi Chalaka VP, Solution and Social Innovation Marketing Imagine the Future Innovative cities that dramatically enhance the wellbeing of its citizens Safer

More information

REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT

REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT REGIONAL CENTRE FOR TRAINING IN AEROSPACE SURVEYS (RECTAS) MASTER IN GEOINFORMATION PRODUCTION AND MANAGEMENT PROGRAMME DESCRIPTION October 2014 1. The programme The academic programme shall be referred

More information

3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM)

3D VISUALIZATION OF GEOTHERMAL WELLS DIRECTIONAL SURVEYS AND INTEGRATION WITH DIGITAL ELEVATION MODEL (DEM) Presented at Short Course VII on Exploration for Geothermal Resources, organized by UNU-GTP, GDC and KenGen, at Lake Bogoria and Lake Naivasha, Kenya, Oct. 27 Nov. 18, 2012. GEOTHERMAL TRAINING PROGRAMME

More information

The Future of Geospatial Big Data Giovanni Marchisio, Ph.D., Director Product Development

The Future of Geospatial Big Data Giovanni Marchisio, Ph.D., Director Product Development The Future of Geospatial Big Data Giovanni Marchisio, Ph.D., Director Product Development Nuclear Power Plant, Doel, Belgium December 10, 2011 WorldView-2 Why Geospatial Big Data? We Are the Innovators

More information

GIS: Geographic Information Systems A short introduction

GIS: Geographic Information Systems A short introduction GIS: Geographic Information Systems A short introduction Outline The Center for Digital Scholarship What is GIS? Data types GIS software and analysis Campus GIS resources Center for Digital Scholarship

More information

Providing On-Demand Situational Awareness

Providing On-Demand Situational Awareness ITT Exelis Geospatial Intelligence Solutions Providing On-Demand Situational Awareness Use of U.S. Department of Defense (DoD) and U.S. Army imagery in this brochure does not constitute or imply DoD or

More information

GIS Initiative: Developing an atmospheric data model for GIS. Olga Wilhelmi (ESIG), Jennifer Boehnert (RAP/ESIG) and Terri Betancourt (RAP)

GIS Initiative: Developing an atmospheric data model for GIS. Olga Wilhelmi (ESIG), Jennifer Boehnert (RAP/ESIG) and Terri Betancourt (RAP) GIS Initiative: Developing an atmospheric data model for GIS Olga Wilhelmi (ESIG), Jennifer Boehnert (RAP/ESIG) and Terri Betancourt (RAP) Unidata seminar August 30, 2004 Presentation Outline Overview

More information

TerraSAR-X Applications Guide

TerraSAR-X Applications Guide TerraSAR-X Applications Guide Extract: Maritime Monitoring: Oil Spill Detection April 2015 Airbus Defence and Space Geo-Intelligence Programme Line Maritime Monitoring: Oil Spill Detection Issue As the

More information

CIESIN Columbia University

CIESIN Columbia University Conference on Climate Change and Official Statistics Oslo, Norway, 14-16 April 2008 The Role of Spatial Data Infrastructure in Integrating Climate Change Information with a Focus on Monitoring Observed

More information

LEOworks - a freeware to teach Remote Sensing in Schools

LEOworks - a freeware to teach Remote Sensing in Schools LEOworks - a freeware to teach Remote Sensing in Schools Wolfgang Sulzer Institute for Geography and Regional Science University of Graz Heinrichstrasse 36, A-8010 Graz/Austria wolfgang.sulzer@uni-graz.at

More information

The distribution of marine OpenData via distributed data networks and Web APIs. The example of ERDDAP, the message broker and data mediator from NOAA

The distribution of marine OpenData via distributed data networks and Web APIs. The example of ERDDAP, the message broker and data mediator from NOAA The distribution of marine OpenData via distributed data networks and Web APIs. The example of ERDDAP, the message broker and data mediator from NOAA Dr. Conor Delaney 9 April 2014 GeoMaritime, London

More information

DISASTER DISASTER MANAGEMENT CRISIS INFORMATICS GIS IN DIFFEERENT STAGES OF DISASTER MANAGEMENT

DISASTER DISASTER MANAGEMENT CRISIS INFORMATICS GIS IN DIFFEERENT STAGES OF DISASTER MANAGEMENT APPLICATION OF GIS AND REMOTE SENSING IN DISASTER PRONE AREAS: A CASE STUDY IN COASTAL KERALA DISASTER Disaster is an unpleasant event than occurs with little or no warning which results in economic disruption,

More information

German Earth Observation Systems and Programs Capacities for nation building

German Earth Observation Systems and Programs Capacities for nation building German Earth Observation Systems and Programs Capacities for nation building German Aerospace Center, DLR, Earth Observation Center, EOC German Remote Sensing Data Center, DFD Gunter Schreier Deputy Director

More information

Integrated Risk Management System Components in the GEO Architecture Implementation Pilot Phase 2 (AIP-2)

Integrated Risk Management System Components in the GEO Architecture Implementation Pilot Phase 2 (AIP-2) Meraka Institute ICT for Earth Observation PO Box 395 Pretoria 0001, Gauteng, South Africa Telephone: +27 12 841 3028 Facsimile: +27 12 841 4720 University of KwaZulu- Natal School of Computer Science

More information

Application of Space Technology for Disaster monitoring and assessment current state in Vietnam

Application of Space Technology for Disaster monitoring and assessment current state in Vietnam Application of Space Technology for Disaster monitoring and assessment current state in Vietnam Lai Anh Khoi SPACE TECHNOLOGY INSTITUTE 8th GEOSS Asian Pacific Symposium Beijing, Sep. 09-11, 2015 Types

More information

A tiered reconnaissance approach toward flood monitoring utilising multi-source radar and optical data

A tiered reconnaissance approach toward flood monitoring utilising multi-source radar and optical data 5 th International Workshop on Remote Sensing for Disaster Response A tiered reconnaissance approach toward flood monitoring utilising multi-source radar and optical data Anneley McMillan Dr. Beverley

More information

Big Data and Analytics: Getting Started with ArcGIS. Mike Park Erik Hoel

Big Data and Analytics: Getting Started with ArcGIS. Mike Park Erik Hoel Big Data and Analytics: Getting Started with ArcGIS Mike Park Erik Hoel Agenda Overview of big data Distributed computation User experience Data management Big data What is it? Big Data is a loosely defined

More information

3D Point Cloud Analytics for Updating 3D City Models

3D Point Cloud Analytics for Updating 3D City Models 3D Point Cloud Analytics for Updating 3D City Models Rico Richter 25 th May 2015 INSPIRE - Geospatial World Forum 2015 Background Hasso Plattner Institute (HPI): Computer Graphics Systems group of Prof.

More information

Implementation of information system to respond to a nuclear emergency affecting agriculture and food products - Case of Morocco

Implementation of information system to respond to a nuclear emergency affecting agriculture and food products - Case of Morocco Centre National de l énergie des sciences et techniques nucléaires (CNESTEN-Morocco) Implementation of information system to respond to a nuclear emergency affecting agriculture and food products - Case

More information

Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field

Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field Adaptation of High Resolution Ikonos Images to Googleearth for Zonguldak Test Field Umut G. SEFERCIK, Murat ORUC and Mehmet ALKAN, Turkey Key words: Image Processing, Information Content, Image Understanding,

More information

Ksat Infrastructure and architecture for Multi-Mission Applications. dr. Kris Nackaerts dr. Martin Krynitz dr. Jan Petter Pedersen

Ksat Infrastructure and architecture for Multi-Mission Applications. dr. Kris Nackaerts dr. Martin Krynitz dr. Jan Petter Pedersen Ksat Infrastructure and architecture for Multi-Mission Applications dr. Kris Nackaerts dr. Martin Krynitz dr. Jan Petter Pedersen Riyadh, 2016 Tromsø Capital of space activities in the North Tromsø Capital

More information

Oracle Big Data Spatial and Graph

Oracle Big Data Spatial and Graph Oracle Big Data Spatial and Graph Oracle Big Data Spatial and Graph offers a set of analytic services and data models that support Big Data workloads on Apache Hadoop and NoSQL database technologies. For

More information

Geospatial Information for disaster risk reduction and natural resources management. Rolando Ocampo Alcántar

Geospatial Information for disaster risk reduction and natural resources management. Rolando Ocampo Alcántar Geospatial Information for disaster risk reduction and natural resources management Rolando Ocampo Alcántar Content Background Geospatial Information for Disaster Management Risk Atlas Information Exchange

More information

5. GIS, Cartography and Visualization of Glacier Terrain

5. GIS, Cartography and Visualization of Glacier Terrain 5. GIS, Cartography and Visualization of Glacier Terrain 5.1. Garhwal Himalayan Glaciers 5.1.1. Introduction GIS is the computer system for capturing, storing, analyzing and visualization of spatial and

More information

Technology Implications of an Instrumented Planet presented at IFIP WG 10.4 Workshop on Challenges and Directions in Dependability

Technology Implications of an Instrumented Planet presented at IFIP WG 10.4 Workshop on Challenges and Directions in Dependability Technology Implications of an Instrumented Planet presented at IFIP WG 10.4 Workshop on Challenges and Directions in Dependability Nick Bowen Colin Harrison IBM June 2008 1 Background Global Technology

More information

The premier software for extracting information from geospatial imagery.

The premier software for extracting information from geospatial imagery. Imagery Becomes Knowledge ENVI The premier software for extracting information from geospatial imagery. ENVI Imagery Becomes Knowledge Geospatial imagery is used more and more across industries because

More information

DISASTER RISK DETECTION AND MANAGEMENT COURSES SETUP SCENARIO AT MAKERERE UNIVERSITY. Makerere University

DISASTER RISK DETECTION AND MANAGEMENT COURSES SETUP SCENARIO AT MAKERERE UNIVERSITY. Makerere University DISASTER RISK DETECTION AND MANAGEMENT COURSES SETUP SCENARIO AT MAKERERE UNIVERSITY CASE OF THE DEPARTMENT OF GEOGRAPHY Derek Muhwezi 2 MISSION OF THE DEPARTMENT To provide and promote quality education,

More information

application Our Assets agronomy operational visibility pollutant monitoring urban microclimate animal tracking internet of things smart city

application Our Assets agronomy operational visibility pollutant monitoring urban microclimate animal tracking internet of things smart city field work management system model validation asset tracking remote surveillance operational visibility pollutant monitoring urban microclimate animal tracking internet of things smart city Advanced 360

More information

New Space Capabilities for Maritime Surveillance

New Space Capabilities for Maritime Surveillance www.dlr.de ESA Blue Growth Marititime College, Cork, Ireland 17.4..2013 New Space Capabilities for Maritime Surveillance Susanne Lehner German Aerospace Center DLR Remote Sensing Technology Institute DLR

More information

TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira

TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira TerraAmazon - The Amazon Deforestation Monitoring System - Karine Reis Ferreira GEOSS Users & Architecture Workshop XXIV: Water Security & Governance - Accra Ghana / October 2008 INPE National Institute

More information

Geographical Information Systems with Remote Sensing

Geographical Information Systems with Remote Sensing SCHOOL OF SCIENCE Geographical Information Systems with Remote Sensing PGDip/MSc Medway Campus www.gre.ac.uk/science Why study this programme? Geographical Information Systems (GIS) and Remote Sensing

More information

Cloud-based Geospatial Data services and analysis

Cloud-based Geospatial Data services and analysis Cloud-based Geospatial Data services and analysis Xuezhi Wang Scientific Data Center Computer Network Information Center Chinese Academy of Sciences 2014-08-25 Outlines 1 Introduction of Geospatial Data

More information

Advanced Image Management using the Mosaic Dataset

Advanced Image Management using the Mosaic Dataset Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Advanced Image Management using the Mosaic Dataset Vinay Viswambharan, Mike Muller Agenda ArcGIS Image Management

More information

Technology Trends In Geoinformation

Technology Trends In Geoinformation Technology Trends In Geoinformation Dato Prof. Sr Dr. Abdul Kadir Bin Taib Department of Survey and Mapping Malaysia (JUPEM) Email: drkadir@jupem.gov.my www.jupem.gov.my NGIS 2008 3 rd. National GIS Conference

More information

ArcGIS Framework Plug-In: Extending the ArcGIS Desktop for ANSI Standard Framework Data to Support Government Decision Making

ArcGIS Framework Plug-In: Extending the ArcGIS Desktop for ANSI Standard Framework Data to Support Government Decision Making ArcGIS Framework Plug-In: Extending the ArcGIS Desktop for ANSI Standard Framework Data to Support Government Decision Making Final Project Report October 28, 2008 Agreement Number Organization Project

More information

Turn geospatial imagery into useful information for your GIS on the desktop, for mobile devices, and in the cloud.

Turn geospatial imagery into useful information for your GIS on the desktop, for mobile devices, and in the cloud. Imagery Becomes Knowledge ENVI for ArcGIS Turn geospatial imagery into useful information for your GIS on the desktop, for mobile devices, and in the cloud. The full power of ENVI image analysis across

More information

Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science

Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science Advancing Sustainability with Geospatial Steven Hagan, Vice President, Server Technologies João Paiva, Ph.D. Spatial Information and Science Engineering 1 Copyright 2011, Oracle and/or its affiliates.

More information

GeoMarc Spatial DNA for Advanced Geospatial Data Management

GeoMarc Spatial DNA for Advanced Geospatial Data Management GeoMarc Spatial DNA for Advanced Geospatial Data Management Dr. Alex Philp Founder and Manager November 2007 GCS Research Success ESRI Foundation Partner of the Year - 2007 ESRI Business Partner of the

More information

Copernicus Space Component ESA Data Access Overview J. Martin (ESA), R. Knowelden (Airbus D&S)

Copernicus Space Component ESA Data Access Overview J. Martin (ESA), R. Knowelden (Airbus D&S) Copernicus Space Component ESA Data Access Overview J. Martin (ESA), R. Knowelden (Airbus D&S) Introduction and Context Operational Scenarios Translation into interfaces Translation into services Current

More information

The Agroclimate Impact Reporter

The Agroclimate Impact Reporter The Agroclimate Impact Reporter Allan Howard, P. Cherneski, T. Hadwen, S. Sutherland and D. Chobanyk Natrional Agroclimate Information Service, Science & Technology Branch Agriculture and Agri Food Canada

More information

GEOENGINE MSc in Geomatics Engineering (Master Thesis) Anamelechi, Falasy Ebere

GEOENGINE MSc in Geomatics Engineering (Master Thesis) Anamelechi, Falasy Ebere Master s Thesis: ANAMELECHI, FALASY EBERE Analysis of a Raster DEM Creation for a Farm Management Information System based on GNSS and Total Station Coordinates Duration of the Thesis: 6 Months Completion

More information

JRC and GMES GIO-EMS

JRC and GMES GIO-EMS Joint Research Centre JRC and GMES GIO-EMS Guido Lemoine, Jan Kucera, Marco Broglia JRC, Ispra 1st GMES NATIONAL USER FORUM DAY Prague, 29-30 May 2012 Serving society Stimulating innovation Supporting

More information

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution

Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Sustainable Development with Geospatial Information Leveraging the Data and Technology Revolution Steven Hagan, Vice President, Server Technologies 1 Copyright 2011, Oracle and/or its affiliates. All rights

More information

Public Safety GIS Position Qualifications Version 1.0

Public Safety GIS Position Qualifications Version 1.0 GEOGRAPHIC INFORMATION SYSTEMS (GIS) ANALYST Public Safety GIS Position Qualifications DESCRIPTION The Type 1 GIS Analyst holds all the Type 2 responsibilities PLUS 1. Producing, maintaining, and managing

More information

Building Caribbean GeoNode Platform in Support of Climate Risk Management Jacob Opadeyi, PhD

Building Caribbean GeoNode Platform in Support of Climate Risk Management Jacob Opadeyi, PhD Building Caribbean GeoNode Platform in Support of Climate Risk Management Jacob Opadeyi, PhD Our Highly Vulnerable Region Housing developments on drainage channels and steep slopes Unapproved development

More information

Impact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan

Impact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan Impact of water harvesting dam on the Wadi s morphology using digital elevation model Study case: Wadi Al-kanger, Sudan H. S. M. Hilmi 1, M.Y. Mohamed 2, E. S. Ganawa 3 1 Faculty of agriculture, Alzaiem

More information

BASICS OF PRECISION AGRICULTURE (PA)

BASICS OF PRECISION AGRICULTURE (PA) BASICS OF PRECISION AGRICULTURE (PA) specific production on particular place specific production, from foot to foot... Same sense: data collection and decision making for small pieces of the field. Particular

More information

EarthServer @ RDA. RDA: Co-chairing - Big Data IG - Geospatial IG. OGC co-chairing: - editor, Big Geo Data stds - BigData.DWG

EarthServer @ RDA. RDA: Co-chairing - Big Data IG - Geospatial IG. OGC co-chairing: - editor, Big Geo Data stds - BigData.DWG RDA: Co-chairing - Big Data IG - Geospatial IG OGC co-chairing: - editor, Big Geo Data stds - BigData.DWG EarthServer @ RDA RDA-DE/DINI Workshop, Karlsruhe, 2015-may-29 Peter Baumann Jacobs University

More information

Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum

Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum Trends and Research Opportunities in Spatial Big Data Analytics and Cloud Computing NCSU GeoSpatial Forum Siva Ravada Senior Director of Development Oracle Spatial and MapViewer 2 Evolving Technology Platforms

More information

Wildfires pose an on-going. Integrating LiDAR with Wildfire Risk Analysis for Electric Utilities. By Jason Amadori & David Buckley

Wildfires pose an on-going. Integrating LiDAR with Wildfire Risk Analysis for Electric Utilities. By Jason Amadori & David Buckley Figure 1. Vegetation Encroachments Highlighted in Blue and Orange in Classified LiDAR Point Cloud Integrating LiDAR with Wildfire Risk Analysis for Electric Utilities Wildfires pose an on-going hazard

More information

3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension

3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension 3D Model of the City Using LiDAR and Visualization of Flood in Three-Dimension R.Queen Suraajini, Department of Civil Engineering, College of Engineering Guindy, Anna University, India, suraa12@gmail.com

More information

High-Performance Visualization of Geographic Data

High-Performance Visualization of Geographic Data High-Performance Visualization of Geographic Data Presented by Budhendra Bhaduri Alexandre Sorokine Geographic Information Science and Technology Computational Sciences and Engineering Managed by UT-Battelle

More information

Smart City Australia

Smart City Australia Smart City Australia Slaven Marusic Department of Electrical and Electronic Engineering The University of Melbourne, Australia ARC Research Network on Intelligent Sensors, Sensor Networks and Information

More information

Monitoring of Arctic Conditions from a Virtual Constellation of Synthetic Aperture Radar Satellites

Monitoring of Arctic Conditions from a Virtual Constellation of Synthetic Aperture Radar Satellites DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Monitoring of Arctic Conditions from a Virtual Constellation of Synthetic Aperture Radar Satellites Hans C. Graber RSMAS

More information

Introduction to Imagery and Raster Data in ArcGIS

Introduction to Imagery and Raster Data in ArcGIS Esri International User Conference San Diego, California Technical Workshops July 25, 2012 Introduction to Imagery and Raster Data in ArcGIS Simon Woo slides Cody Benkelman - demos Overview of Presentation

More information

A CONCEPT OUTLINE ESTABLISHING THE

A CONCEPT OUTLINE ESTABLISHING THE Updated 13 November 2009 A CONCEPT OUTLINE ESTABLISHING THE Philippine GIS Data Clearinghouse (PhilGIS) www.philgis.org Prepared by Al Tongco, Ph.D. Stillwater, Oklahoma, U.S.A. al_tongco@yahoo.com Introduction

More information

Radiocommunication to monitor climate changes

Radiocommunication to monitor climate changes ITU Symposium on ICTs, the Environment and Climate Change Montreal, Canada - 29 to 31 May 2012 Radiocommunication to monitor climate changes Attila MATAS Head, Space Publication and Registration division

More information

Monitoring Changing Riskscapes: Efficient Risk Assessment with GEM and SENSUM Tools

Monitoring Changing Riskscapes: Efficient Risk Assessment with GEM and SENSUM Tools Monitoring Changing Riskscapes: Efficient Risk Assessment with GEM and SENSUM Tools John Bevington, ImageCat Ltd. Nicole Keller, GEM Foundation Introduction How can geospatial data can be used to create

More information

The Courses. Covering complete breadth of GIS technology from ESRI including ArcGIS, ArcGIS Server and ArcGIS Engine.

The Courses. Covering complete breadth of GIS technology from ESRI including ArcGIS, ArcGIS Server and ArcGIS Engine. ESRI India: Corporate profile ESRI India A profile India s Premier GIS Company Strategic alliance between ESRI Inc. and NIIT Technologies Adjudged as India s Best GIS Solutions Company - Map India 2001

More information

Creating common operational pictures for disaster response with collaborative work

Creating common operational pictures for disaster response with collaborative work Risk Analysis IX 393 Creating common operational pictures for disaster response with collaborative work T. Chen, G. Su & H. Yuan Institute of Public Safety Research, Department of Physics Engineering,

More information

Spatial Big Data. Shashi Shekhar

Spatial Big Data. Shashi Shekhar Spatial Big Data Shashi Shekhar McKnight Distinguished University Professor Department of Computer Science and Engineering, University of Minnesota www.cs.umn.edu/~shekhar AAG-NIH Symp. on Enabling a National

More information

The CBERS satellite, data policy and social benefits

The CBERS satellite, data policy and social benefits GEO Capacity Building Workshop, May 2006 The CBERS satellite, data policy and social benefits Gilberto Câmara Director, National Institute for Space Research From EO to societal benefits source: NASA Knowledge

More information

Big Data for smart infrastructure: London Bridge Station Redevelopment. Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK

Big Data for smart infrastructure: London Bridge Station Redevelopment. Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK Big Data for smart infrastructure: London Bridge Station Redevelopment Sinan Ackigoz & Krishna Kumar 10.09.15 Cambridge, UK Redeveloping the redeveloped station 1972 vision 2012 vision 1972 Vision: Two

More information

Where is... How do I get to...

Where is... How do I get to... Big Data, Fast Data, Spatial Data Making Sense of Location Data in a Smart City Hans Viehmann Product Manager EMEA ORACLE Corporation August 19, 2015 Copyright 2014, Oracle and/or its affiliates. All rights

More information

Technologies Enabling the Evolution of a Smart City. Brad Schmidt, Intergraph Canada

Technologies Enabling the Evolution of a Smart City. Brad Schmidt, Intergraph Canada Technologies Enabling the Evolution of a Smart City Brad Schmidt, Intergraph Canada AGENDA The Smart City Key Challenges Facing Cities Technology Challenges Smart Sensor Integration Smart Apps Smart Data

More information

ADWR GIS Metadata Policy

ADWR GIS Metadata Policy ADWR GIS Metadata Policy 1 PURPOSE OF POLICY.. 3 INTRODUCTION.... 4 What is metadata?... 4 Why is it important? 4 When to fill metadata...4 STANDARDS. 5 FGDC content standards for geospatial metadata...5

More information

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS

SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS SESSION 8: GEOGRAPHIC INFORMATION SYSTEMS AND MAP PROJECTIONS KEY CONCEPTS: In this session we will look at: Geographic information systems and Map projections. Content that needs to be covered for examination

More information

The RapidEye optical satellite family for high resolution imagery

The RapidEye optical satellite family for high resolution imagery 'Photogrammetric Week 01' D. Fritsch & R. Spiller, Eds. Wichmann Verlag, Heidelberg 2001. Scherer, Krischke 139 The RapidEye optical satellite family for high resolution imagery STEFAN SCHERER and MANFRED

More information

CLOUD BASED N-DIMENSIONAL WEATHER FORECAST VISUALIZATION TOOL WITH IMAGE ANALYSIS CAPABILITIES

CLOUD BASED N-DIMENSIONAL WEATHER FORECAST VISUALIZATION TOOL WITH IMAGE ANALYSIS CAPABILITIES CLOUD BASED N-DIMENSIONAL WEATHER FORECAST VISUALIZATION TOOL WITH IMAGE ANALYSIS CAPABILITIES M. Laka-Iñurrategi a, I. Alberdi a, K. Alonso b, M. Quartulli a a Vicomteh-IK4, Mikeletegi pasealekua 57,

More information

Welcome to NASA Applied Remote Sensing Training (ARSET) Webinar Series

Welcome to NASA Applied Remote Sensing Training (ARSET) Webinar Series Welcome to NASA Applied Remote Sensing Training (ARSET) Webinar Series Introduction to Remote Sensing Data for Water Resources Management Course Dates: October 17, 24, 31 November 7, 14 Time: 8-9 a.m.

More information

The Multimission National Center of the Italian Space Agency

The Multimission National Center of the Italian Space Agency The Multimission National Center of the Italian Space Agency L. Garramone - ASI GSCB Workshop, ESA/ESRIN Frascati Table of contents Multimission National Center (CNM): status of the activities; Main functions

More information

The Challenge of Handling Large Data Sets within your Measurement System

The Challenge of Handling Large Data Sets within your Measurement System The Challenge of Handling Large Data Sets within your Measurement System The Often Overlooked Big Data Aaron Edgcumbe Marketing Engineer Northern Europe, Automated Test National Instruments Introduction

More information

-Toolset. Simplifying Complex Information WE LOOK

-Toolset. Simplifying Complex Information WE LOOK -Toolset Simplifying Complex Information WE LOOK DEEPER Data is collected today from an ever increasing number of sources ranging from simple video cameras From mounted wind farm on everything to pipe

More information

exactearth & Esri Monitoring the World s Oceans

exactearth & Esri Monitoring the World s Oceans exactearth & Esri Monitoring the World s Oceans Joint Value Proposition exactearth supplies the most comprehensive information on the movement of the world s shipping. Esri supplies the world s leading

More information

Remote sensing image real-time processing for rapid disaster emergency response

Remote sensing image real-time processing for rapid disaster emergency response Remote sensing image real-time processing for rapid disaster emergency response Dr.Haigang Sui LIESMARS, Wuhan University Oct 23, 2013 Outline 1 Major requirements in disaster emergency response 2 Main

More information

European Gravity Service for Improved Emergency Management

European Gravity Service for Improved Emergency Management European Gravity Service for Improved Emergency Management a new Horizon2020 project to serve the international community and improve the accessibility to gravity field products A. Jäggi 1, M. Weigelt

More information

Security Systems EMERGENCY MANAGEMENT. In security you cannot choose the second best option. indracompany.com

Security Systems EMERGENCY MANAGEMENT. In security you cannot choose the second best option. indracompany.com Security Systems EMERGENCY MANAGEMENT In security you cannot choose the second best option indracompany.com EMERGENCY MANAGEMENT EMERGENCY MANAGEMENT EMERGENCY C4i CENTRE Crisis management and preparednesss

More information

Managing Social Media in a Disaster. Jeff Baranyi Public Safety Tech Lead and Esri Disaster Response Team

Managing Social Media in a Disaster. Jeff Baranyi Public Safety Tech Lead and Esri Disaster Response Team Managing Social Media in a Disaster Jeff Baranyi Public Safety Tech Lead and Esri Disaster Response Team Esri Disaster Response Program www.esri.com/disaster Support our users, our partners and Esri personnel

More information

André Karpištšenko, Co-Founder & Chief Scientist, Marinexplore Strata, 2014.02.11

André Karpištšenko, Co-Founder & Chief Scientist, Marinexplore Strata, 2014.02.11 marineos André Karpištšenko, Co-Founder & Chief Scientist, Marinexplore Strata, 2014.02.11 The Ocean's Big Data Platform marineos: a platform for organizing, analyzing and distributing machine data marineos

More information