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Conference Program At-A-Glance

Conference Final Program Now Available

Sunday, June 20
4:00 PM - 6:00 PM Registration
3:00 PM - 8:00 PM Exhibition Setup
Monday, June 21
6:30 AM - 8:30 AM Complimentary Breakfast (hotel guests only)
8:00 AM - 4:30 PM Registration
8:30 AM - 9:30 AM Short Papers I
9:30 AM - 9:45 AM Coffee Break
9:45 AM - 12:00 PM 9:45 AM - 10:30 AM Keynote 1: Microsoft SQL Server
  10:30AM - 11:15 AM Keynote 2: MIT
  11:15 AM - 12:00 PM Keynote 3: OGC
12:00 PM - 1:15 PM Welcome Banquet
1:15 PM - 2:15 PM Full Papers I Tech Talk/Demo Talk I Panel: FEMA
2:15 PM - 2:30 PM Coffee Break
2:30 PM - 4:30 PM Full Papers II Short Papers II Course I: Microsoft
1:15 PM - 4:30PM Microsoft Focus Group    
1:15 PM - 4:30 PM Free iExhibit & Exhibition, Posters, Job Fair, Networking
Tuesday, June 22
6:30 AM - 8:30 AM Complimentary Breakfast (hotel guests only)
8:00 AM - 4:30 PM Registration
8:30 AM - 9:30 AM Full Papers III
9:30 AM - 9:45 AM Coffee Break, Networking
9:45 AM - 12:00 PM 9:45 AM - 10:30 AM Featured Note 1: Purdue
  10:30 AM - 11:15 AM Featured Note 2: FHWA-DOT
  11.15 AM - 12:00 PM Keynote 4: Oracle
12:00 PM - 1:15 PM Lunch Break
1:15 PM - 2:15 PM Full Papers IV Short Papers III Tech Talk/Demo Talk II
2:15 PM - 2:30 PM Coffee Break
2:30 PM - 4:30 PM Invited Session: U.S. DOJ Panel+: Microsoft SQL Server Course II: Oracle
1:15 PM - 4:30PM Microsoft Focus Group GviTech Focus Group  
8:30 PM - 4:30 PM Free iExhibit & Exhibition,  Posters, Job Fair, Networking
Wednesday, June 23
6:30 AM - 8:30 AM Complimentary Breakfast (hotel guests only)
8:00 AM - 2:30 PM Registration
8:30 AM - 9:30 AM Full Papers V / Demo Talks
9:30 AM - 9:45 AM Coffee Break
9:45 AM - 12:00PM 9:45 AM - 10:30 AM Keynote 5: USGS
  10:30 AM - 11:15 AM Keynote 6: Microsoft Azure
  11:15 AM - 12:00 PM Featured Note 3: ORNL
12:00 PM - 1:15 PM Featured Banquet
1:15 PM - 2:45 PM Panel+: ORNL Panel+: Microsoft Azure Tech Talk/Demo Talk III
2:45 PM - 2:55 PM Coffee Break
2:55 PM - 4:30 PM Panel+: ORNL Panel+: Microsoft Azure Microsoft Focus Group
1:15 PM - 4:30PM Microsoft Focus Group GviTech Focus Group  
8:30 PM - 4:30 PM Free iExhibit & Exhibition,  Posters, Job Fair, Networking

Keynotes and Featured Notes

The keynote and featured note speakers are renowned experts in computing and geospatial fields from federal governments, prestigious universities, and leading industries.



Developing a National Lidar Dataset for Detailed Landscape Modeling

Gregory I Snyder  (Manager, LIDAR Program Development, Land Remote Sensing Program)

Wednesday June 23  9:45AM - 10:20AM

There has never been a greater national need for consistent 3D models of the landscape to address pressing resource management, conservation, natural hazards and economic issues. The government is considering a program to enhance the quality, consistency and availability of 3D landscape information using lidar and related measurement technologies. This presentation will introduce lidar technology and outline the concept of a national program, including science and operational applications, benefits and the challenges of creating a national lidar data layer applicable to many government and other national business uses.



Applications for Cloud Computing

Mark Eisenberg  (Azure Solution)

Wednesday June 23  10:20AM - 11:10AM

With all of the hype around cloud computing it is reasonable for decision makers to ask “yes, but what is really good for?”. This talk will establish a baseline for discussions around what cloud computing is, what it isn’t and how it should be applied to real world applications. Successful deployments over the past year will be shared along with generic examples of applications that can definitely benefit from the cloud paradigm. Finally, a brief overview of Microsoft’s cloud offerings with emphasis on the cloud development platform will be provided.

Federal Highway Administration (FHWA) - U.S. DOT

Seismic Risk Analysis of Highway Systems Using Loss Estimation Methodology with Geospatial Technologies

Dr. W. Phillip Yen (FHWA Seismic Research Program Manager)

Tuesday June 22  10:30AM - 11:15AM

Effects of earthquake damage to highway components (e.g., bridges, tunnels, roadways, etc.) can go well beyond life-safety risks and costs to repair the damaged components. Such damage can also disrupt traffic flows which, in turn, can impact the region’s economic recovery and emergency response. These impacts will depend not only on the seismic performance of the components, but also on the characteristics of the overall highway system such as its network configuration and roadway-link characteristics (e.g., link locations, redundancies, and traffic capacities). Unfortunately, such traffic impacts are usually not considered in seismic risk reduction activities at state transportation departments. One reason for this has been the lack of a technically-sound and practical tool for estimating these impacts. Therefore, since the mid-1990s, the FHWA has sponsored multi-year seismic-research projects at MCEER that have included development and programming of such a tool based on geospatial technologies. This has led to new software named REDARS (Risks from Earthquake DAmage to Roadway Systems) that was released for public use recently. Read more...
(Image Courtesy of FHWA REDARS)

Massachusetts Institute of Technology (MIT)

The Senseable City

Dr. Kristian Kloeckl  (Project Leader of SENSEable City Lab, Department of Urban Studies and Planning, MIT)

Monday June 21  10:30AM - 11:15AM

The real-time city is now real! The increasing deployment of sensors and hand-held electronics in recent years is allowing a new approach to the study of the built environment. The way we describe and understand cities is being radically transformed - alongside the tools we use to design them and impact on their physical structure. This presentation will address some of these changes from a critical point of view through the work of the SENSEable City Laboratory, a new research initiative at the Massachusetts Institute of Technology.


Spatial Data Streaming Or Streaming Spatial Data: Just Stream It the Way You Like

Balan Sethu Raman (Microsoft Distinguished Engineer), Dr. Mohamed Ali (Microsoft SQL Server)

Monday June 21  9:45AM - 10:30AM

This talk covers the "Today of Geospatial" and introduces to the audience several geospatial directions at Microsoft, e.g., SQL Server Spatial, Bing Maps, SQL Server, Business Intelligence(BI), SQL Spatial Library, and then, goes into the "Future of Geospatial": geostreaming and, more specifically, geostreaming in the cloud. The talk is divided into two parts: The first part provides a 10,000 foot view of various geospatial efforts at Microsoft. The second part of the talk introduces the Microsoft SQL Server StreamInsight approach to geostreaming. This talk provides the unique lessons that have been taken over the last few years, an industrial perspective of the problem, and definitely a vision of how the .geo term will be one of the hottest terms over the coming decades. Read more...

Open Geospatial Consortium (OGC)

Geoinformatics Applications - Where to Next?

George Percivall (Chief Architect)

Monday June 21  11:15AM - 12:00PM

Geospatial informatics has achieved a level of maturity that is bringing spatial data to ever more applications. Examples include web mapping, 3-D browsers, spatial data infrastructures, sensor webs, and location based services. Key principles to this achievement include: robust open source and proprietary implementations; consistent geospatial concepts across implementations; and standards adopted through open consensus offered freely as in free beer on the web.
Several applications are now ripe for rapid development based on this established baseline of standards, software implementations and deployed systems. The value and use of geospatial information will continue to increase through various systems-of-systems of geospatial services. Beyond traditional SDI communities the Geoscience communities are rapidly developing information systems using OGC and other open standards. The application of geospatial to Business Intelligence is poised for phenomenal growth. The emergence of mobile Internet will result in the second generation of location-based services.


Consuming the Geospatial Substrate: The next generation of applications, analytics and tools

James Steiner (Vice President, Product Management, Oracle Server Technologies)

Tuesday June 22  11:15AM - 12:00PM

As more and more organizations implement and embrace the geo-enabled enterprise, it has become possible not just to incorporate maps and geospatial analysis into applications, but to create a new class of solutions that implicitly and inherently rely on the geospatial substrate that is part of todays information systems. Critical applications -- business Intelligence and analytics, operational systems, web and cloud services are more targeted, more context-appropriate, and incorporate more relevant information because the data infrastructure increasingly understands and delivers location, sensor and tagged content from devices through standard interfaces. This presentation will describe how the base components of the IT infrastructure comprise a complete geospatial substrate and how applications, BI, analytic technologies and tools incorporate these capabilities and the new classes of applications that will soon be possible through the synthesis of 3D modeling, augmented reality, and operational data. Read more...

Purdue University

Designing Smarter Cities by Integrating Urban Behavioral and Geometrical Simulation

Prof. Dr. Daniel G. Aliaga (Department of Computing Science, Purdue University)

Tuesday June 22  9:45AM - 10:30AM

This talk addresses the growing desire to design better, smarter, and more efficient cities. Cities are inherently very complex to model because of their spatial size and their intricate underlying behavioral structure. I will show how our concurrent behavioral and geometrical simulation significantly benefits the design, editing, and prediction of large-scale 3D city models. The result is the ability to quickly generate 3D city models resembling existing locations, to visualize the outcome of urban regulations, to consider meteorological influences, and to improve emergency response. I will present our latest collection of works as well other state of the art methods. (Image Courtesy of Dr. Daniel Aliaga at Purdue University) Read more...

Oak Ridge National Laboratory (ORNL)

Development of High Resolution Population and Social Dynamics Models and Databases

Dr. Budhendra Bhaduri (Leader in Geographic Information Science and Technology Group)

Wednesday June 23  11:15AM - 12:00PM

High resolution population distribution data is critical for successfully addressing critical issues ranging from energy and socio-environmental research to public health to homeland security. Commonly available population data from Census is constrained both in space and time and does not capture the population dynamics as functions of space and time. This imposes a significant negative consequence on the fidelity of event based simulation models with sensitive space-time resolution. Such limitations, to a large degree, can be overcome by developing population data with a finer resolution in both space and time at sub-Census levels. Geodemographic data at such scales will represent a more realistic non-uniform distribution of population. Using an innovative approach with Geographic Information System and Remote Sensing, Oak Ridge National Laboratory (ORNL) has made significant progress towards solving this problem. ORNL, as part of its LandScan global population project, has developed the finest resolution global and US population distribution models. This talk will describe ongoing development of the computational framework for spatial data integration and modeling framework for LandScan. Discussions will cover development of algorithms to utilize population infrastructure datasets (such as residences, business locations, academic institutions, correctional facilities, and public offices) along with behavioral or activity-based mobility datasets for representing temporal dynamics of population. In addition, we will discuss development and integration of transportation, physical and behavioral science computational algorithms; the integration of these models that address different scales and different time frames; and the development of dynamic optimization routines to take advantage of real-time data from sensor networks.


Full Papers


Full Paper Session I   Monday June 21  1:15 PM - 2:15 PM
Session Chair: Michael Kallay, Microsoft Corporation
Fast Forensic Video Event Retrieval Using Geospatial Computing
Hongli Deng, Mun Wai Lee, Asaad Hakeem, Omar Javed, Weihong Yin, Li Yu, Andrew Scanlon, Zeeshan Rasheed, and Niels Haering
Keywords: Video analysis, Video retrieval, Video event search, Spatial database, Video surveillance
Participatory Integration of Live Webcams into GIS
Austin Abrams, Nick Fridrich, Nathan Jacobs, and Robert Pless
Keywords: Camera calibration, Geospatial web services, Participatory GIS, Social computing, Voluntary geographic information, Web 2.0 & GIS, Webcams
Mobile Awareness and Participation in Community Oriented Activities
Craig H. Ganoe, Harold R. Robinson, Michael A. Horning, Xiaoyan Xie, and John M. Carroll
Keywords: Civic engagement, Civic participation, Mobile blogging, Location sensitive applications
Full Paper Session II   Monday June 21  2:30 PM - 4:30 PM
Session Chair: George Percivall, Open Geospatial Consortium, Inc. (OGC)
PerPos: A Platform Providing Cloud Services for Pervasive Positioning
Henrik Blunck, Mikkel B. Kjærgaard, Torben Godsk, Jakob L. Jensen, Kaj Grønbæk, Tejs Scharling, Kari R. Schougaard, and Thomas Toftkjær
Keywords: Cloud services, Pervasive positioning
Sensor Bus: An Intermediary Layer for Linking Geosensor Networks and the Sensor Web
Arne Broering, Theodor Foerster, Simon Jirka, and Carsten Priess
Keywords: Sensor web, Geosensor networks, SWE, Twitter
A Hybrid Approach to Segment-Type Coding of New York City Traffic Data
Jianting Zhang, Simin You, Li Chen, and Cynthia Chen
Keywords: Geocoding, Street segments, Traffic data, NYC
Using Geographic Information Systems for Enhanced Network Security Visualization
David Shelly, Matthew Dunlop, Randy Marchany, and Peter Sforza
Keywords: Security, Design, Human Factors, Management
Synthesizing High Fidelity 3D Landscapes from GIS Data
Pedro Maroun Eid and Sudhir Mudur
Keywords: 3D GIS detail, Landscape visualization, Semantic web, Automated reasoning
Normative Reasoning with Geo Information
Radboud Winkels, Rinke Hoekstra, and Erik Hupkes
Keywords: ontology, OWL, SKOS, Semantic web, Spatial planning, Legal assessment, Law, Google maps, Legal atlas, Norm, Reasoning
Full Paper Session III    Tuesday, June 22  8:30 AM - 9:30 AM
Session Chair: Dr. Thomas Moelhave, Duke University
Reverse Ranking Query over Imprecise Spatial Data
Ken C. K. Lee, Mao Ye, and Wang-Chien Lee
Keywords: Reverse Ranking (RR) queries, Imprecise spatial data, Algorithms
Failed-Tuple Triggered Blocking Strategy for Managing Near Real-Time Spatial Data Replication
Kalyan K. Janakiraman, Lars Hansen, and Mehmet A Orgun
Keywords: Near real-time geospatial database replication management, Spatial integrity management
Dynamic Tiled Map Services: Supporting Query-Based Visualization of Large-Scale Raster Geospatial Data
Jianting Zhang and Simin You
Keywords: Geospatial data, Visual exploration, Tiled map, Web services
Full Paper Session IV    Tuesday, June 22  1:15 PM - 2:15 PM
Session Chair: Prof. Daniel Aliaga, Purdue University
Scalable Algorithms for Large High-Resolution Terrain Data
Thomas Molhave, Pankaj K. Agarwal, Lars Arge, and Morten Revsbæk
Keywords: Scalable algorithms, Large high-resolution terrain data
Georeference, Rainfall-Runoff Modeling and 3D Dynamic Simulation: Physical Influence, Integration and Approaches
M. Y Izham, U Md.Uznir, A. R Alias, and K Ayob
Keywords: 3D Simulation, Dynamic, GIS, Map projection, SCS-CN and visualization.
Analyzing Change in Spatial Data by Utilizing Polygon Model
Vadeerat Rinsurongkawong, Chun Sheng Chen, Christoph F. Eick, and Michael D. Twa
Keywords: Change analysis, Polygon models, Density-based clustering, Concept drift, Novelty detection, Spatial data mining.
Full Paper Session V / Demo Talk   Wednesday, June 23  8:30 AM - 9:30 AM
Session Chair: Prof. Ge Jin, Purdue University Calumet
Full Papers:
A New Multi-Core Pipelined Architecture for Executing Sequential Programs for Parallel Geospatial Computing
D. Liao and S. Y. Berkovich
Keywords: Multi-core architecture, Pipelining, Sequential program, Parallel computing, Geospatial data, LIDAR
Collecting and Visualizing Wireless Geosensor Data Using Mobile Device
Kirsti Sääskilahti, Riitta Kangaskorte, Mika Luimula, and Juha Yli-Hemminki
Keywords: Environmental monitoring, Wireless sensor networks, Visualization, Mobile devices, Experimental evaluation
A Pseudo-Physical Approach Toward Real Time Automated Cartographic Generalization
Jacqueleen Joubran Abu Daoud, and Yerach Doytsher
Keywords: Automated generalization, Real time, GIS, Modeling, Neural network
Demo Talks:
CityMaker Product Introduction
Chi Wei, Chairman, GviTech
ESRI – The New ArcGIS 10 System Transforms the Way You Use GIS
Jon Nystrom and Bonnie Stayer, ESRI
ABSTRACT: Scheduled for release in June 2010, the newest version of ESRI’s ArcGIS System will improve the way that desktop, mobile and server based GIS applications can be used to leverage geographic information throughout your enterprise. Users will be able to use the power of GIS everywhere: via Web-extended desktops, Web-hosted applications, and cloud GIS. Take advantage of an expanded set of geospatial analysis tools for in-depth analysis of data. Model, edit, visualize, and analyze data in both 2D and 3D environments. Extend mobile applications to the iPhone. Develop a wide variety of tools and applications using Python, Web API’s, and streamlined software developer kits (SDKs). Use ArcGIS Server on the Amazon cloud. Take advantage of a wide variety of online maps and tools that are now a built-in part of ArcGIS across desktop, mobile, and browser based applications. Find, share, organize, and use maps, applications, and other resources via—a Web-based gateway into the ArcGIS system. Discover, share, and present geographic information using ArcGIS Explorer Online, a new browser-based version of ArcGIS Explorer. In this session, you will learn more about the many new ways to create, maintain, analyze, visualize and share Geographic Information using the ArcGIS System.


Short Papers


Short Paper Session I   Monday, June 21  8:30 AM - 9:30 AM
Session Chair: Dr. Cynthia Kuo, Nokia Research Center
ArchaeoloGIS: Using Geographic Information Systems to Support Archaeological Research
José Ferrandis Montesinos, Carlos Lamas López, and Francisco M. Rangel Pardo
Keywords: Geographic Information Systems (GIS), Archaeology, Archaeological research
Open Solutions to Regional Observing System
Jeremy Cothran
Keywords: Databases, Postgresql, KML, Virtualization, Geospatial, Observing systems, Open-source, OGC, Web services
GeoBrowser Deployment in the USDA Forest Service: A Case Study
Charlie Schrader-Patton, Alan Ager, and Alan Ager
Keywords: USDA Forest Service, GeoBrowser, Environmental Threat Assessment Center, ArcGIS Server, Web map, GeoServer, WMS
A New Paradigm for Integrated Environmental Monitoring
Kevin Montgomery, Carsten Mundt
Keywords: Sensors, Environmental Monitoring, Data Integration, Modeling and simulation, Cloud Computing, Visualization.
Short Paper Session II   Monday, June 21  2:30 PM - 4:30 PM
Session Chair: Dr. Ray Renner, Northrop Grumman
Conversion of Cadastral Data to KML File Type for Use in Google Earth and Google Maps for Mobile as a Land Information System
Stacey D. Lyle, and Nathan Eby
Keywords: Keyhole Markup Language (KML), Geographic Information System (GIS), Global Positioning Systems (GPS), Surveying
Towards Designing Better Map Interfaces for the Mobile: Experiences From Example
Vidya Setlur, Cynthia Kuo, and Peter Mikelsons
Keywords: Maps, Mobile, Design, Interaction, Optimization
A Simple Framework to Generate Parallel Application for Geospatial Processing
Hélène Coullon, Sébastien Limet, and Emmanuel Melin
Keywords: Parallel computation, Cluster, GIS
GIRPharma: A Geographic Information Retrieval Approach to Locate Pharmacies On Duty
Francisco Manuel Rangel Pardo, María Dolores Rangel Pardo, Davide Buscaldi, and Paolo Rosso
Keywords: Geographic Information Retrieval (GIR), Geographic Information Systems (GIS), Toponym disambiguation
GIS in the Cloud: Implementing a Web Map Service on Google App Engine
J.D. Blower
Keywords: Geographic Information Systems (GIS), Open Geospatial Consortium (OGC), Service-Oriented Architecture (SOA), Web Map Service (WMS), Raster, Cloud computing, Scalability
Up in the air: Adventures in Serving Geospatial Data Using Open Source Software and the Cloud
Ken Bunzel, Alan Ager, and Charlie Schrader-Patton
Keywords: GIS, Geospatial, Land management, Western Wildland Environmental Threat Assessment, GeoServer, MapServer, OpenLayers, GeoExt, Ext JS, WMS, Amazon Web Services, Cloud Computing, Virtual Server, EC2
Modeling the Severe Acute Respiratory Syndrome (SARS) Outbreak in Beijing – An Agent-based Approach
Yuxia Huang
Keywords: SARS, Agent-based model, Spatial-temporal simulation
Internet Map Services: New Portal for Global Ecological Monitoring, or Geodata Junkyard?
Alan Ager, Charlie Schrader-Patton, Ken Bunzel, and Brett Colombe
Keywords: Forest Service, Geodata Webcrawler, ArcGIS Server, Web mapping service, WMS, WFS, OGC
Short Paper Session III   Tuesday, June 22  1:15 PM - 2:15 PM
Session Chair: Prof. Ge Jin, Purdue University Calumet
P-DBSCAN: A Density Based Clustering Algorithm for Exploration and Analysis of Attractive Areas Using Collections of Geo-Tagged Photos
Slava Kisilevich, Florian Mansmann, and Daniel Keim
Keywords: Density based clustering, Geo-tagged photos, Attractive places
Discovering Spatio-Social Motifs of Electoral Support Using Discriminative Pattern Mining
Tomasz F. Stepinski and Josue Salazary , and Wei Ding
Keywords: Discriminative pattern mining, Political analysis, Summarization, Visualization
Sensing the Schoolyard: Using Senses and Sensors to Assess Georeferenced Environmental Dimensions
Maria João Silva, João Correia Lopes, Pedro Moreira Silva, Maria José Marcelino
Keywords: Multisensory georeferenced information; mobile learning
Geospatial Data and Server on USB
Stacey D. Lyle, Richard Smith, and Cynthia M. Lyle
Keywords: Keyhole Markup Language (KML), Geographic Information Systems (GIS), Global Positioning Systems (GPS), Surveying
Disaster Assessment with Parallel Image Processing for GIS Based Local Area Disaster Decision Support System
Barbara Nicolai, Ge Jin, Keyuan Jiang, Charles Winer
Keywords: Disaster Management and Communication, GIS, Grid Computing, Visualization

Tech Talks/Demo Talks


Tech Talk/Demo Talk Session I    Monday, June 21  1:15 PM - 2:15 PM
Session Chair: Dr. Kevin Montgomery, Stanford University
Tech Talks:
High Performance Mobile 3D GIS- IVJ/WorldWind-Java on Android
Kevin Montgomery, Stanford University  Carsten Mundt, Intelesense Technologies
ABSTRACT: This presentation demonstrates an early prototype of a novel technical approach to the display of real-time 3D interactive GIS visualization on mobile devices. The system provides a fully functional version of InteleView (which is built on the NASA WorldWind-Java platform), including access to all 315,000 layers of satellite and aerial imagery, GIS data, live sensor data, and other information from an Android mobile device, running over 3G cellular or WiFi networks with fully interactive, highperformance 3-D graphical response. This will be the first presentation of the research prototype system at a conference and will demonstrate that 3-D, interactive GIS visualization is real, practical, attainable, and soon available.
Computer Vision for Geo-Location, Awareness & Detail
John Zelek, Ehsan Fazl, Daniel Asmar, Adel Fakih, University of Waterloo
ABSTRACT: Computer vision (i.e., image understanding) involves under- standing the 3D scene creating the image. Computer vision is challenging because it is the computer that decides how to act based on an understanding of the image. Key image understanding tasks include depth computation, as well as object detection, localization, recognition and tracking. Techniques up to now have not been able to perform any of these tasks robustly with the precision and accuracy demanded by many real-world applications. Additional complications include operational and environmental factors. For humans, visual recognition is fast and accurate, yet robust against occlusion, clutter, viewpoint variations, and changes in lighting conditions....
Access Control Systems for Spatial Data Infrastructures and their Administration
Jan Herrmann, Technische Universität München
ABSTRACT: Today sophisticated concepts, languages and frameworks exist, that allow implementing powerful fine grained access control systems for protecting Web Services and spatial data in SDIs. Especially rule based access control systems provide the capabilities to define and enforce expressive, fine grained access rights or restrictions respectively. Having powerful and complex access control policies in place introduces a new challenge. It is essential that the policy defining the semantics of an access control system can be easily and securely administrated. In this paper a very general and powerful administrative model, the Layered Administration Model (LAM), will be introduced. The LAM intends to support an easy, secure and tractable administration of complex spatial access control policies as found in SDIs..
Demo Talks:
Open, Distributed, Geostreaming Using Wave Federation Protocol
Tish Shute, ARWave
ABSTRACT: The talk will include a demo and introduction to an open framework for realtime permission based, geostreaming using Wave Federation Protocol - ARWave. The first part of the talk will introduce the audience to an end to end open federated approach to geostreaming, and real time collaboration on geolocated data, that aims to make location based mobile, social interaction, and augmenting reality, as easy as contributing to a wiki or a wave. This open framework, built on Wave Federation Protocol, allows anyone to create content, a browser, or a server and define the data handshakes they want to make with others on a federated network. ...
ESRI – ArcGIS.COM – A New Web-Based Gateway into the ArcGIS System
Jon Nystrom and Bonnie Stayer, ESRI
ABSTRACT: is a new web site for experiencing ESRI’s ArcGIS System online. Visit the site to create maps; find and use maps, applications, and tools; and share your maps and applications with others. Within the site, you will find applications for building and sharing maps. You will also find a wide variety of basemaps, specialty layers, applications, and tools that you can view and use. You can also find, form, and join Community Groups within which to collaborate and share Geographic Information. From ArcGIS.COM, you can launch the new ArcGIS Explorer Online - a rich Microsoft Silverlight based internet application for using, creating, and sharing information. Attend this Demo Talk to find out how you can change the way you use GIS – with ArcGIS.COM, use Geographic Information everywhere!
Gvitech Development Strategy
Kandy Hsu, Deputy GM & CFO, Gvitech
Tech Talk/Demo Talk Session II    Tuesday, June 22  1:15 PM - 2:15 PM
Session Chair: Dr. Barry L. Roberts, Sandia National Laboratories 
Tech Talks:
Spatio-temporal Labor Market Analytics: Building a National Web-based System
Robert K. Pitts, New Light Technologies Inc.
ABSTRACT: As the U.S. economy undergoes rapid and significant change, at micro and macro levels, developing an understanding of the specific forces at work, and their causes, is a challenge. Interest in understanding the dynamics of the labor market, at the local level, specifically has increased. To meet this growing need, The U.S. Census Bureau’s Longitudinal Employer-Household Dynamics Program produces OnTheMap, a unique web-based mapping and reporting application that provides tools for quantifying and visualizing spatio-temporal labor market dynamics with specificity previously unavailable. This paper discusses the development of OnTheMap including its analytical capabilities and data and computing infrastructures.
Defining Circular Arcs on a Round Earth
Michael Kallay, Microsoft Corporation
ABSTRACT: Circular arcs are commonly used for modeling geospatial data in planar map projections. This paper proposes a definition of circular arcs in geodetic coordinates on ellipsoid earth models.
Merging Web 2.0 Technologies with Cloud-Based Web Services to Address Ocean and Coastal Geospatial Applications
Eoin Howlett, David Stuebe, Kyle Wilcox and Charlton Galvarino, Applied Science Associates, Inc.
ABSTRACT: A number of rapidly evolving ocean observing initiatives including NOAA’s Integrated Ocean Observing System (IOOS) and NSF’s Ocean Observatories Initiative (OOI) are focused on the integration of disparate time-varying geospatial data collected by satellites, in-situ measuring devices, radar, with data generated by numerical models. This paper studies the use of a wide variety of open source tools used in the metocean community and how these tools can be integrated with Web 2.0 technologies such as Google Search to allow users to publish and discover metocean science data. Once discovered, the real challenge is true interoperability of different data, even though the data is delivered with open standards, in most cases OGC standards....
Mobile Geospatial Applications for Android to aid in GeoCollaboration
Zohra Hemani, David Culverhouse, Ray Renner, Harold Scott Pio, Northrop Grumman
ABSTRACT: Northrop Grumman is developing Mobile Geospatial Applications for the Android platform. With the increasing need for communication with in-the-field personnel, Northrop Grumman is developing the capability to collaborate and communicate among multiple mobile devices and also between workstations, servers, and mobile devices. Initially, we are using the Android platform as the prototype mobile device. The GeoCollaboration capability allows users to share live geospatial information simultaneously with other connected users whether they be on a mobile device or on a computer. ...
Munitions Related Feature Extraction from LIDAR Data
Barry L. Roberts, Sandia National Laboratories
ABSTRACT: The characterization of former military munitions ranges is critical in the identification of areas likely to contain residual unexploded ordnance (UXO). Although these ranges are large, often covering tens-of-thousands of acres, the actual target areas represent only a small fraction of the sites. The challenge is that many of these sites do not have records indicating locations of former target areas. The identification of target areas is critical in the characterization and remediation of these sites. The Strategic Environmental Research and Development Program (SERDP) and Environmental Security Technology Certification Program (ESTCP) of the DoD have been developing and implementing techniques for the efficient characterization of large munitions ranges. ...
Building Augmented Reality Environments
Martin Lechner CTO, Mobilizy GmbH
ABSTRACT:  In this Tech Talk, Martin Lechner, CTO of Mobilizy, the company behind the leading Augmented Reality platform Wikitude, will explain how one can build an Augmented Reality platform using the example of the Wikitude platform. He will focus on what components are necessary for a successful AR ecosystem, how these components can interact and work together and what needs to be particularly considered when creating a great AR experience for all kinds of users.
Tech Talk/Demo Talk Session III   Wednesday, June 23 1:15 PM - 2:45 PM
Session Chair: Helenmary Hotz, University of Massachusetts Boston
Tech Talks:
Watershed Modeling for Education
Eric Russell, National Geographic Society  Colleen Buzby, Uri Wilensky, Northwestern University
ABSTRACT: We present two models of water runoff processes designed to teach grade 6-12 students what a watershed is and some aspects of how it behaves. The first model animates the process of watershed delineation, and demonstrates the significance of watershed boundaries by simulating rainfall and runoff interactively. The model uses the same delineation algorithm as the Hydrologic Engineering Center Preprocessor (HEC-PrePro). The second model examines the effect of land cover change on storm hydrograph response, ...
A new method in volcano-morphology to investigate the tectonic constraints on the volcanism, case study of Harrat Al Sham volcanic field, Arabia plate: the interest of GIS and Relational Database.
Mohamad Amer AL Kwatli, Pierre Yves Gillot, Université Paris Sud XI
ABSTRACT: The volcanic activity of Arabian plate offers an attractive example of intraplate volcanism constrained by a complex tectonic setting. Harrat Ash Shaam volcanic field (HASV) is a basaltic province, extends widely at Arabian plate (over 50 000 km2), covers south of Syria, northeast of Jordan, north of Saudi Arabia, and contains hundreds of well- preserved monogenic volcanic cones. Our method aims to identify those cones volcanic, calculate its morphological parameters (heights, slopes, surfaces, volumes…etc.), and study their correlation. The farther intention of this study is to investigate the consequence of the tectonic events on the volcanic activity by testing the relations between the volcano-morphological parameters and the structure of the lithosphere (basement and moho surfaces).
Is the GEO Perspective Really General? A Unifying View
Jorge Xavier da Silva, Tiago Badre Marino, Universidade Federal Rural do Rio de Janeiro
ABSTRACT: Concerns about the best insertion of “Geo” concepts, methods and techniques into the scientific mainstream are made in this talk. No claims of precedence about opinions and suggestions are made. Analogies among different fields of research, pointing out procedural and structural similarities, intend to call attention to needs and uses of a unified view in research fields directly associated to digital data processing. Conclusions are provocative.
The Use of Geospatial Information in Securing Modern Mobile Architectures
Jason H Christensen, Intelligence In
ABSTRACT: Modern mobile architectures are utilized to address needs and intrinsic of this new “modern” era of mobile computing. We have transcended the phone/text/email paradigm into a new era where we can execute applications and business functions anywhere. While this is convenient, the problem is we can execute applications, view proprietary documents, and perform business functions anywhere. We will present a set integrations between geospatial information, location-based context awareness and cryptology and key management that can address current pain points in modern mobile architectures.
Constructing a GIS Geodatabase to Assess and Analyze the Factors Enabling Proliferation of a Noxious Seaweed along the South-facing Coast of Harwich, Cape Cod, Massachusetts
Helenmary Hotz, University of Massachusetts Boston
ABSTRACT: Presently, there is a paucity of knowledge about Pilayella littoralis and the factors influencing its proliferation on the southern facing coast of Cape Cod, MA. Over the past 20 years, the seaweed has moved along the coast from Falmouth to Chatham, and there is concern for the effects on onshore and nearshore habitats. The goal of this research project is to provide a science-based mapping methodology for analyzing spatially referenced coastal phenomena, specifically, coastal distributions of Pilayella littoralis and associated seaweed assemblages, to identify areas of proliferation and accumulation of these seaweeds, and to obtain a detailed timeline of anthropogenic construction along the coast necessary for the analysis of possible causes of the phenomena. This project uses Geographic Information System (GIS) to produce a temporal and spatial framework for quantifying the accumulation and proliferation of distributions of Pilayella littoralis and associated seaweeds along the coast, with respect to natural and human constructed rocky features. The GIS database framework consists of: 1) Bathymetry (accomplished from raster application); and 2) Data layers, including aerial photos, maps, charts, and other existing GIS data layers. GIS database construction and data integration are accomplished using ESRI ArcGIS 9.3.1. ArcSDE and SQL. The database implements data layers based on: 1) historical aerial photographs; 2) bathymetry; 3) and digital maps documenting the construction and timeline of human constructed defenses along the study site. GIS modeling and analysis is performed using the geodatabase to construct models of compartments formed by natural and human rocky structures along the coast where the algae flourish. In addition, GPS data collection and remote sensing field survey (via Hyper-spectroradiometry) is applied to obtain spatial event information and to estimate biomass and to estimate biomass and productivity in aquatic vegetation.
Defining the World's Cities Through Neighborhoods
Bernt Wahl, University of California, Santa Cruz
ABSTRACT: This presentation will outline a process used for breaking down cities and towns into alternative regions structured on name recognition: neighborhoods, districts or other local areas. Based on the demographic data gathered using these techniques - collected from the 350 largest U.S. cities' neighborhoods - evidence will be given to support the potential benefits to quantifying city data based on neighborhood names and their accompanying structures rather than traditionally used U.S. Census regions. The process defines neighborhood boundaries based on commonly recognized characteristics
such as widespread reference by community, as well as natural and human demarcations.
Through defined neighborhood datasets and boundaries, the study will attempt to show that locally correlated attributes with recognizable names can provide cohesive information for a given region. The analysis hopes to convince the reader that neighborhoods, with their flexibility to form organically, prove in many cases to be a better solution to collecting demographic data than census measurements, which are often confined to a fixed quantity amalgamation of census tracts, units that are generally restricted to a set population for a given region.
Demo Talks:
Spatial Data Mining
Vadeerat Rinsurongkawong, Chun Sheng Chen, and Christoph F. Eick, University of Houston
ABSTRACT: Due to the advances in technologies, such as sensor networks and satellite systems, large amounts of spatial data are created every day. Therefore, tools and techniques to automatically extracting meaningful information from spatial data have gained importance. Analyzing spatial data is more difficult than analyzing the traditional data due to the complexity of spatial data types, the high frequency of spatial patterns, the continuous nature of space, and spatial autocorrelation. The Data Mining and Machine Learning (DMML) group at the University of Houston aims at the development of data analysis, data mining, and machine-learning techniques and to apply those techniques to challenging problems in geology, astronomy, environmental sciences, social sciences and medicine. In general, our research group has a strong background in the areas of clustering and spatial data mining. Areas of our current research include: repository and correspondence clustering, density-based clustering and clustering with plug-in fitness functions, association analysis, geo-regression techniques, change analysis, and trajectory and polygon mining. We designed and implemented several unique spatial clustering algorithms and an open source development framework called Cougar^2 to facilitate the analysis of spatial datasets.
The Potential of Open-Source Internet GIS as a Communication Interface in Regional Environmental Management: Exemplification from Phillip Island, Victoria, Australia
Jim Peterson, Monash university, Sultana Nasrin Baby, Bass Coast Shire Council, Australia
ABSTRACT: It is shown that the potential for implementation of open-source internet GIS to advance the rate of diffusion and adoption of GIS can be realized in regional environmental management if the in-house spatial database is made coherent. After imposing such coherence on the spatial data sets used by environmental managers on Phillip Island, Victoria, Australia it is shown that all stakeholders can share data that can be imported into open-source software possessed of the requisite functionality, it is shown that: a) Adoption of open-source internet GIS overcomes the constraints imposed by proliferating software costs in the hope of increasing GIS adoption, and b) The visualization functionality of the most suitable open-source software attracts staff members, hitherto reluctant to engage in digital spatial query, to become "naive users", thereby more than doubling the in-house GIS users and greatly increasing in-house communication of information and setting the scene for communication among stakeholders. This is very advantageous because, in most of the agencies using GIS, there is, otherwise, a lack of critical mass among GIS users. The exemplification offered here refers to datasets and challenges common to all Victorian regions. Accordingly, it can be argued that if the approach developed in this study is widely adopted in Victoria the community of naive GIS users will increase in ways that enhanced the rate of diffusion and adoption of GIS to rates originally envisaged by public polices first announced during the analogue-to digital conversion of mapping activity two decades ago. To advance the stalled adoption of digital spatial data handling in regional GIS Labs by making the power of GIS available, not only to those who should maintain and process the data, but also to the much larger body of "naive users", many of whom work in the public sector and need more access to data, and most of whom represent stakeholder interests and recognize the potential offered by spatial data access and visualization for advancing transparency in government. The assumptions underlying the idea that adoption of GIS can be promoted to a new stage of utility are: a) Constraints in diffusion and adoption by regional spatial data can be identified and overcome b) The achievement will support visualization.


Invited Sessions

The invited sessions panelists will be renowned experts in computing and geospatial fields from governments, universities, and industries.


Geospatial Technology Research for Law Enforcement and Criminal Justice

Tuesday June 22  2:30PM - 4:30PM


Ronald Wilson
Program Manager
Mapping and Analysis for Public Safety (MAPS) program & Data Resources Program at National Institute of Justice (NIJ)
United States Department Of Justice (U.S. DOJ)

Timothy Brown
Senior Consultant, Booz Allen Hamilton
Research Associate, MAPS Program at National Institute of Justice (NIJ)
United States Department Of Justice (U.S. DOJ)

1) Bringing Geography to the Practice of Analyzing Crime through Technology

Authors: Ronald Wilson and Timothy Brown, NIJ - U.S DOJ

Paper Abstract: The automation of geography through the continued development of software has allowed for advancements in the study of the spatial aspects of crime. The Mapping and Analysis for Public Safety (MAPS) Program at the National Institute of Justice (NIJ) continues to work toward the integration of geographic theories and principles into the technologies used to study crime. Specifically, the MAPS Program promotes advancement in the field through its grant-funded research on geospatial technologies. The main focus of future solicitations will be the development of cutting edge geospatial software, but also with an increased interest in geospatial sensor technologies, spatial cognition technologies, and location-based technologies and analysis.

2) Implementing a Bayesian approach to criminal geographic profiling

Authors: Mike O’Leary, Department of Mathematics, Towson University

Paper Abstract: The geographic profiling problem is to create an operationally useful estimate of the location of the home base of a serial criminal from the known locations of the offense sites. We have developed and released new software based on Bayesian methods that attempts to solve this problem. In this paper, we discuss some of the geographic and computational challenges in implementing this new method.

3) The Development of Urban Crime Simulator

Authors: Jay Lee and Chaoqing Yu, Department of Geography, Kent State University

Paper Abstract: Based on routine activities theory, deviant places theory, and neighborhood life cycle concepts, an Urban Crime Simulator was developed to allow estimation for changes in crime rate in urban neighborhoods to be made when changes in the characteristics of the neighborhoods are known or can be projected. The developed simulator is fully integrated with GIS-formatted data and operational environment. It enables users the flexibility of choosing neighborhood attributes that best fit their experience and knowledge of local neighborhoods. In addition, the selection of neighborhood attributes to be included in the simulation can be made based on localized trends that best fit routine activities and deviant places theories.

4) New Tools for Statistical Point Pattern Analysis on Networks with Large Datasets

Authors: Luc Anselin, Serge Rey, and Andrew Winslow, GeoDa Center for Geospatial Analysis and Computation,
School of Geographical Sciences and Urban Planning

Paper Abstract: This paper presents preliminary results from a multi-year research project on "Flexible Geospatial Visual Analytics and Simulation Technologies to Enhance Criminal Justice Decision Support Systems." We discuss and apply several new geospatial technology tools for exploratory spatial data analysis developed at the GeoDa Center for Geospatial Analysis and Computation. The focus of this paper is on local crime hotspot analysis that takes network structures (such as streets) into account. The incorporation of networks overcomes the limitation of traditionally applied cluster methods, which assume that an event can be located anywhere. However, in practice, there are often limitations to the possible locations of crimes that are constrained by or related to street networks. Further, the featured tools work efficiently with large datasets, leverage the parallel architecture of modern desktop CPUs, work on Windows and Mac platforms, are user-friendly and do not require the installation of additional software. The benefits of taking networks into account for hotspot analysis are illustrated in case studies using crime data from police departments of the City of Mesa, AZ and Tempe, AZ.

5) Mobile Application for First Response and Emergency Evacuation in Urban Settings

Authors: William Ribarsky, KR Subramanian, Jianfei Liu, Onyewuchi Obirieze, and Jack Guest, Charlotte Visualization Center, Dept. of Computer Science, The University of N. Carolina at Charlotte

Paper Abstract: This work builds on a system we have developed for situation-aware mobile routing and response in an urban environment. The system permits police or other first responders to carry models of collections of often large scale, multi-floor urban buildings they encounter in urban environments. The responders must enter, find their way around, and coordinate activities with other responders and command personnel. Coordination requires overall understanding by command personnel of where first responders are (including directing these personnel), where occupants or victims are, where they are going, and what they might do. In addition, coordination may need to take into account response to the actions of perverse independent agents, such as shooters or other criminals. The system supports all this in multiple ways including permitting the responder or commander to determine shortest path 3D routes between floors in real-time, including updates of routes when path-blocking obstacles are present, locations of other responders, and locations of things of interest with respect to the responders current position (e.g., victims, flammable or dangerous materials, etc.). This paper will present some first results for this mobile system in terms of two real-world cases involving police responders: (1) response to a shooter or potential shooter in one or more large urban structures; (2) emergency evacuation in a large urban structure. The real world cases are developed as exercises with police and homeland security personnel. The paper demonstrates the need for tight integration of information provided or displayed through the command interface and the mobile interfaces. The command interface, in particular, must organize and disseminate a substantial amount of information in a timely manner. The paper will also describe initial evaluations of the interfaces and plans for improvement.

Panels / Panel+

The Panels/Panel+ moderators and panelists will be renowned experts in computing and geospatial fields from federal governments, prestigious universities, and leading industries.


Panel - FEMA: Loss Estimation Applications within the Federal Government

Panel+ - Microsoft SQL Server: Geostreaming: We Can See the Light at the End of the Tunnel

Panel+ - ORNL: Emerging Geospatial Science and Technology for Sustainable Bioenergy

Panel+ - Microsoft Azure: Windows Azure Platform and Application Development


Loss Estimation Applications within the Federal Government

Monday June 21  1:15PM - 2:15PM


Eric Berman
HAZUS Program Manager
Federal Emergency Management Agency (FEMA)


Doug Buzalsky, Program Analyst, Applicant Services and Mike Greer
FEMA National Processing Service Center

Krishna Banga
Structural Engineer
Veterans Administrations

Eddie Pool
Senior Technical Advisor to the Associate Administrator
Small Business Administration (SBA)


HAZUS is nationally applicable standardized methodology that combines science, engineering and mathematical modeling with GIS technology to estimate losses of life and property—and shows those losses on a map.
Developed by FEMA, HAZUS-MH operates as an extension of ESRI’s ArcGIS software to map and display region-specific hazard data along with the results of loss and damage assessments. HAZUS estimates impacts to the physical, social and economic vitality of a community from earthquakes, hurricane wind and floods to help save lives and protect property.
The panelists representing the SBA, the VA and FEMA will each discuss how they use the geospatial technologies within HAZUS to estimate losses for disaster assistance.
Small Business Administration (SBA) –The SBA’s Office of Disaster Assistance uses HAZUS to estimate pre and post disaster losses related to the delivery of the Federal disaster loan program.
Veterans Administration (VA) – The VA uses HAZUS to do earthquake assessments for all VA structures across the nation.
FEMA Individual Assistance Center – FEMA IA uses HAZUS’ geospatial technologies to assist with planning and scheduling of resources to help homeowners and renters affected by disasters with their housing needs and necessary expenses.


Rebecca Blankenship, CGMP
Outreach Process Partners, FEMA HAZUS Program


Mr. Eric Berman is FEMA HAZUS Program Manager. He has approximately 20 years of hazard identification studies and mapping experience with an emphasis on GIS. He holds a bachelor's degree in Civil Engineering from Tennessee Technological University and represents the Department of Homeland Security on the U.S. Board on Geographic Names.


Geostreaming: We Can See the Light at the End of the Tunnel

Tuesday June 22  2:30PM - 4:30PM


Mohamed Ali
Software Design Engineer, Microsoft SQL Server
Microsoft Corporation


Balan Sethu Raman
Distinguished Engineer in the Database Systems Group
Microsoft Corporation

Ed Katibah
Principal Program Manager at Microsoft SQL Server
Microsoft Corporation

Erik Hoel
Computer Scientist, Geodatabase Development Lead

Farnoush Banaei-Kashani
Research Associate, Information Laboratory (InfoLab)
Univeristy of Southern California (USC)


“We still have a long way to go! But we can see the light at the end of the tunnel!” This statement represents a vision that has brought together Microsoft SQL Server, ESRI, and the University of Southern California’s Information Laboratory (USC InfoLab) to sketch the road map of an end-to-end solution in geostreaming. Geostream data refers to the datasets that are acquired continually over time and needed to be processed and/or visualized on-the-fly. These datasets include geographical extents such as geographical coordinates of a point, a line, or a polygon. The coordinates may or may not change over time.

Microsoft SQL Server StreamInsight is a powerful platform for developing and deploying complex event processing (CEP) applications. Its high-throughput stream processing architecture and familiar .NET-based development platform enable developers to quickly implement robust and highly efficient event processing applications. With its extensibility infrastructure, Microsoft SQL Server StreamInsight enables developers to integrate their domain expertise within the query pipeline as user defined operators and aggregates. Also, the Microsoft SQL Server Spatial Libraries deliver comprehensive spatial support that enables organizations to seamlessly consume, use, and extend location-based data through spatial-enabled applications which ultimately helps end users make better decisions. ESRI is the world leader in GIS (geographic information systems), spatial modeling, and mapping software. ESRI’s long experience and sound technologies add the necessary domain expertise to the data streaming platform provided by Microsoft StreamInsight. The applied information management research at the USC InfoLab and its domain expertise in two areas of smart oil field technologies (through its projects with USC’s CiSoft center) and transportation systems (through its projects with USC’s METRANS transportation center) bridge the gap between academia and industry, and brings the latest technologies in managing unconventional data types to CiSoft and METRANS end users: Chevron, USDOT and Caltrans.

This special session covers geostreaming from various angles and brings together experts in the field from academia, industry, and research labs to discuss the lessons they have learned over the years, demonstrate what they have achieved so far, and listen to the geospatial community so we can build the future of our community hand-in-hand. Read more...


Emerging Geospatial Science and Technology for Sustainable Bioenergy

Wednesday June 23  1:15PM - 4:30PM

Panel Members:

Dr. Robert Tetrault
Program Manager
United States Department of Agriculture (USDA)

Dr. Brad Doorn
President of ASPRS and Manager of Agriculture and Water Applied Science
National Aeronautics and Space Administration (NASA)

Dr. Alison Goss Eng
Manager, Sustainable Bioenergy Production
United States Department of Energy (U.S. DOE)

Dr. Alex Philp
CEO and Chairman
Rocky Mountain Supercomputing Center, Inc. USA (RMSC)

Dr. Budhendra Bhaduri
Group Leader, GIST, Computational Sciences and Engineering Division
Oak Ridge National Laboratory (ORNL)

Dr. Ranga Raju Vatsavai
Research Scientist, GIST, Computational Sciences and Engineering Division
Oak Ridge National Laboratory (ORNL)


With recent national emphasis on increasing biofuel development for reducing dependency on foreign oil and reducing carbon emissions from energy production and consumption, the agricultural land cover and land use patterns in the United States and many other regions of the world are expected to change in the coming years. Although remote sensing data analysis is a well recognized approach for addressing bioenergy sustainability, biomass monitoring over large geographic regions using remote sensing images poses several scientific and technical challenges.

Data Challenges. There is great need for continuous coverage of high-temporal data with moderate to fine spatial resolution. Panel will discuss data challenges in monitoring biomass at regional and global scales, takes a view on current and future satellite programs.

Analytical Challenges: Conventional techniques are either inadequate or do not scale well for continuous biomass monitoring over large geographic regions. Panel will discuss the recent advances in spatiotemporal data mining, especially the techniques that exploit the subtle multidimensional signals through the joint use of high temporal resolution (MODIS) data and moderate- and fine-spatial resolution satellite images for extracting multi-temporal biomass change information, including crop types and their conditions.

Computational Challenges: Scaling spatiotemporal data mining techniques for large geographic regions is a computationally challenging task. Panel will discuss the challenges in embracing modern computing infrastructure, especially distributed and cloud computing for biomass and bioenergy monitoring and simulation needs.

In addition, this panel discusses recent government programmatic initiatives in the area of biomass and bioenergy.


Windows Azure Platform and Application Development

Wednesday June 23  1:15PM - 4:30PM


Dr. Zhiming Xue
Senior Architect Evangelist
Microsoft Corporation


Wayne Beekman
Co-Founder of Information Concepts
Information Concepts

Vishwas Lele
Chief Technology Officer

Mark Eisenberg
Windows Azure Solutions Specialist
Microsoft Corporation


During this interactive panel discussion we will share our thoughts about the Microsoft’s cloud computing platform, discuss application development and deployment with Windows Azure and SQL Azure, and answer your questions regarding Windows Azure and cloud computing.


Wayne Beekman is a Co-Founder of Information Concepts. Wayne started Information Concepts with his partner, Cary Toor in 1982. Wayne oversees the development of new business and technical direction for Information Concepts. He is a charter member of Microsoft’s .Net Partner Advisor Board, which began in 1999. He holds both a Bachelor of Science and a Master of Science degree in Science of Information Systems from George Washington University.

Wayne was recently featured in several tech publications for his work in Cloud Computing:
"Making a Cloud Play" (Redmond Channel Partners, October 2009)
"It's Time to embrace Cloud-Based Development" (CXO Magazine, August 2009)
"Cloud computing has appeal for Web applications" (Government Computer News, May 2009)

Vishwas Lele is an AIS Chief Technology Officer and is responsible for the company vision and execution of creating business solutions using .NET technologies. Vishwas brings close to 20 years of experience and thought leadership to his position, and has been at AIS since 1994. A noted industry speaker and author, Vishwas is the Microsoft Regional Director for the Washington, D.C. area and a member of the Connected Systems Division Advisors group. Additionally, Vishwas has received an MVP (Most Valuable Professional) for Solution Architecture award for both 2006 and 2007. Prior to joining AIS, Vishwas worked for Tata Unisys and Microstrategy. Vishwas received his Bachelor’s degree in Electronics Engineering from Nagpur University in India and his Master’s degree in Computer Science from Johns Hopkins University.

Mark Eisenberg is a Solutions Specialist focused exclusively on the Windows Azure Platform.  With his software architecture and development background he was able to immediately see the potential impact for Windows Azure on all flavors of organizations that rely on computing technology.  Bringing over twenty years of high-tech sales experience and over a decade in design and development he is well equipped to spot significant new trends.  He holds a BS degree in Electrical Engineering from the George Washington University in Washington, DC.

Zhiming Xue “Z" is a senior Microsoft Architect Evangelist with DPE US based in the Mid-Atlantic area. While working with customers to help architect enterprise solutions, he is passionate about both smart client and web technologies and an active blogger on Microsoft MSDN site. During his tenure with Microsoft Services, he played technical and architectural roles on many consulting projects for large enterprise customers in both the commercial sector and the public sector.  He has presented various topics at Microsoft events including TechEd China and local community events. He holds a Ph. D. in Management Science from the Isenberg School of Management at the University of Massachusetts at Amherst, a professional certification from American Production and Inventory Control Society (APICS), and several Microsoft certifications.



Course 1 - Microsoft: An Introduction to Microsoft SQL Server StreamInsight

Course 2 - Oracle: Integrating Maps into Oracle Business Intelligence



An Introduction to Microsoft SQL Server StreamInsight

Dr. Mohamed Ali (Design Engineer, Microsoft SQL Server)

Monday June 21  2:30PM - 4:30PM

Microsoft StreamInsight is a powerful platform that you can use to develop and deploy complex event processing (CEP) applications. Its high-throughput stream processing architecture and the Microsoft .NET Framework-based development platform enable you to quickly implement robust and highly efficient event processing applications. Event stream sources typically include data from manufacturing applications, financial trading applications, Web analytics, and operational analytics. By using StreamInsight, you can develop CEP applications that derive immediate business value from this raw data by reducing the cost of extracting, analyzing, and correlating the data; and by allowing you to monitor, manage, and mine the data for conditions, opportunities, and defects almost instantly.

By using StreamInsight to develop CEP applications, you can achieve the following tactical and strategic goals for your business:

• Monitor your data from multiple sources for meaningful patterns, trends, exceptions, and opportunities.
• Analyze and correlate data incrementally while the data is in-flight -- that is, without first storing it--yielding very low latency. Aggregate seemingly unrelated events from multiple sources and perform highly complex analyses over time.
• Manage your business by performing low-latency analytics on the events and triggering response actions that are defined on your business key performance indicators (KPIs).
• Respond quickly to areas of opportunity or threat by incorporating your KPI definitions into the logic of the CEP application, thereby improving operational efficiency and your ability to respond quickly to business opportunities.
• Mine events for new business KPIs.
• Move toward a predictive business model by mining historical data to continuously refine and improve your KPI definitions.

This course covers the key concepts in Microsoft StreamInsight and provides developers with a step-by-step guidance to build their first data streaming applications. The course is expected to run for two hours and is expected to cover the following topics:

20 minutes - Welcome and Introductions
20 minutes - StreamInsight use cases, architecture and demo
20 minutes - Getting the data in and out: writing adapters for StreamInsight
20 minutes - StreamInsight queries: writing continuous queries and analytics for StreamInsight in LINQ
20 minutes - Building rich StreamInsight applications
20 minutes - Deploying and managing StreamInsight applications


Integrating Maps into Oracle Business Intelligence

Dr. Jayant Sharma (Technical Director, Spatial Oracle Product Development)

Tuesday June 22  2:30PM - 4:30PM

In this session we will demonstrate the integration of Oracle's geospatial and enterprise business intelligence technologies. Oracle Spatial, a feature of the Oracle database, contains a wealth of capabilities for geospatial data management, analysis, and provisioning. Oracle MapViewer is a feature of Oracle Fusion Middleware providing light-weight interactive mapping for integration with enterprise applications. Oracle Business Intelligence Suite Enterprise Edition Plus (Oracle BI EE Plus) is a comprehensive suite of enterprise BI products that delivers a full range of analysis and reporting capabilities. Featuring a unified, highly scalable, modern architecture, Oracle BI EE Plus provides intelligence and analytics from data spanning enterprise sources and applications—empowering the largest communities with complete and relevant insight. By locationenabling the BI platform, we are able to enhance traditional BI interactions with location-aware analytics, cartographic views of analytic results, and geography-based drilling and analyses. As opposed to rigid, static integrations, we will demonstrate a highly interactive, customizable, and fully-embedded geospatial BI solution.

Course Objective
- Provide attendees with technical and strategic insight into Oracle’s Spatial-Business Intelligence integrations
- Provide practical understanding of the integrations through use cases and associated solution methodologies
- Conduct live demonstrations of integration techniques
- Live demonstration and explanation of finished Spatial-BI solution.
- Review and demonstration of associated Oracle Spatial and BI technology components
- Explanation and demonstration of Spatial-BI integrations:
• Location analysis at physical data source level
• Location analysis at logical (semantic) layer
• Location analysis at presentation level
• Map visualization at presentation level
- Summary and Q&A

* Flash Images Courtesy of Accepted Papers and Speakers