John S. Iiames, Jr. United States EPA Biologist/Remote Sensing Research

1. EPA EarthWhere™ Pilot Project Briefing September 14, 2004 John S. Iiames, Jr. United States EPA Biologist/Remote Sensing Research Office of Research and Development National Exposure Research Laboratory Environmental Sciences Division Landscape Characterization Branch Iiames.John@epamail.epa.gov Mark Hardy SANZ Inc. VP and GM, Geospatial Solutions Group mhardy@sanz.com

2. Agenda • Introduction by John Iiames – video-conference • Who is SANZ and what is the Geospatial Solutions Group? • What problems are we addressing? • What is EarthWhere? What is data provisioning? • EarthWhere Demo • EPA EarthWhere Pilot Project • Objectives, methodology, timeframe • EarthWhere roadmap – distributed provisioning • Questions

3. SANZ Company Profile • SANZ Inc. is a nationwide data management and storage integration firm focused exclusively on the design, deployment and support of intelligent data management solutions. • Publicly Traded; Stock Symbol (OTC BB): SANZ • $70* Million in Revenue • Engineering Focus • 50% Federal and 50% Commercial Mix • National Presence – 15 Regional Offices • Headquartered in Englewood, CO • Independent Business Unit – Geospatial Solutions Group • *expected 2004 revenues

4. Geospatial Data… The Office of Management and Budget still does not know how much agencies are spending on geospatial information more than a year after lawmakers first requested the information. At last year’s hearing, OMB officials estimated agencies spent nearly $4 billion a year on geospatial data and half was duplicative. While Evans would not reaffirm that number, she said the new budgetary requirements should clarify how much agencies are spending and what is duplicative. GAO recommended that OMB: • Update the national strategy to coordinate federal geospatial assets • Encourage agencies to comply with guidance by delaying or denying funding requests • Require agencies to specifically identify geospatial data in all business cases and submit annual reports to the Federal Geographic Data Committee on their geospatial investments, including systems and data sets. Government Computing News 6/23/04

5. As an organizational asset Soon government agencies will be mandated to account for and manage all geospatial data as “assets”. To maximize the ROI on these assets, organizations must: • Reduce Asset Costs • Acquisition – Capital Expense • Processing/manipulation – CapEx and ongoing • Management – Recurring costs • Storage • Protection • Distribution • Reduce Duplication/Redundancy • Acquisition, processing and management • Leverage the data efficiently throughout the organization • Distribute the costs across multiple stakeholders

6. SANZ Geospatial Solutions Group Vision That geospatial data assets will be managed as a common, fundamental component of an organization’s infrastructure utilized at all levels of the business Implemented with Practical, data management best practices built specifically for the management of these assets Using tools such as EarthWhere™

7. Geospatial Data Management Challenges Users demand rapid access to their geospatial datasets delivered precisely to their specific requirements. • Storage – files can be between 50MB and 2GB; budgets and resource constraints often are a major challenge • Lack of skilled end users – working with this data requires advanced skill sets; it is very difficult to train and maintain a skilled workforce • Users need custom subsets of the data – most end users need pieces of information from multiple layers built specifically to their requirements • Access and Distribution – user expectations are changing; users want access to all of their data and want it in Internet time • Security –data licensing constraints and restrictions to classified locations within the datasets • User base is growing - Applications are increasing • Data is distributed – Across multiple stakeholders and agencies

8. What is EarthWhere? A software application which addresses the following issues: Geospatial Data Management Cataloging Security – Access Control Reporting and tracking File management/archiving Data Distribution Source file distribution and access Creation of derivative datasets per user request EarthWhere Automates the Process of Data Provisioning… Provision 1a: The act or process of providing. b: The fact or state of being prepared beforehand. c: A measure taken beforehand to deal with a need or contingency. 2: A stock of needed materials or supplies usually used in plural.

9. Geospatial Data Who are the Users? • Data Analysts – ERDAS, ENVI, PCI • Highly skilled users of remote sensing data • Desktop analytical tools • Need highest accuracy; closest to the sensor • Looks beyond the visual picture • Producers of derivative datasets • GIS/Mapping Users – ESRI, MapInfo, GeoMedia • Varying degrees of remote sensing skills • Remote sensing data used for correcting vector datasets or as a backdrop within their mapping applications • Internet Mapping Applications or Desktop GIS • Varying degrees of accuracy required • Business End Users – Adobe, MS Office, Custom App • Little or no remote sensing skills • Specialized applications and local equipment • High accuracy; mission specific datasets • Usually tactical end users

10. Traditional “Provisioning” Process Retrieve from tape End User Needs Data END USER Retrieve from disk System Administrator Retrieve from CD/DVD Deliver the result Call the System Administrator Call the GIS Group Acquire externally GIS Specialists Transfer “RAW” data to GIS workstations Process “RAW” data into Data “Product” How can I utilize my spatial data in a timely, cost effective and accurate manner?? Elapsed Time: Too Long Is this what you needed??

11. EarthWhere Provisioning Process SEARCH DEFINE End User Needs Data GENERATE Provisioning Subsystem END USER Log into EarthWhere Tier 1 Disk Tier 2 Disk Alert End User Retrieve Results Network Attached Storage Near-line Storage Data Storage Subsystems DEMONSTRATION Elapsed Time: Minutes Is this what you needed?? Stage Source Data Produce Output Combine Resample Reproject Clip Format Save Results Compress Shared file Streaming server Web Mapping Desktop Application

12. Who Uses EarthWhere ? At the USGS, EarthWhere turbocharged data provisioning processes providing a 200x improvement in productivity… At DigitalGlobe, EarthWhere reduces the sales cycle for selling imagery by immediately providing data in pre-sales engagements - shaving weeks off the process… At the Army Corps of Engineers, sharing data was not possible due to the lack of consistency in the desktop tools used by the stakeholders. EarthWhere provides an easy method for collaboration between the USACE, the State of New Mexico and private contractors… At the USDA, Aerial Photography Field office in Salt Lake City, a compliance mission requires the collection of 10 TB’s of ortho imagery each year. EarthWhere catalogs and provisions custom data to the USDA’s GIS applications. Other customers: ONR, NGA, US Army

13. EarthWhere and ESRI • Source imagery stored in original format • EarthWhere manages the source imagery in one or many file archives • EarthWhere can provision datasets for ArcSDE implementations • End users can also reach into the archive from ArcIMS to provision datasets from the archive Processed Tiles and Metadata import deploy For SDE

14. EPA Pilot Joint Effort between SANZ and the EPA – RDU Objective: To determine the applicability of a spatial data provisioning process on a technical project within the EPA Methodology • Identify a project - Pamlico Sound Demonstration Study • Document the current data processes • Determine the optimal data management processes including a “provisioning” process • Identify the gaps between the current EarthWhere functionality and the requirements for an optimal process • Force rank the gaps and categorize • Develop functionality to meet the top “gaps” • Deploy the system • Measure the results • Document and present results Start October 4 – tentative end in December 2004

15. Current EPA MODIS Processing Workflow Swath data in HDF New Science Products Level 1 & 2 (raw) EPA ENVI script DAAC Level 3 & 4 (ortho) Tile swath data into AOI ortho in BSQ/Albers 44 standard data products currently using 13 How is the EPA currently using MODIS datasets and are there areas where EarthWhere can provide process optimization? Where are the technical gaps in handing these datasets?? How can these be addressed?? Many GBs of data Apply Algorithms Various Data Drives Various research projects

16. EarthWhere EPA MODIS Processing Workflow Preliminary Plan • Task 1 • Metadata retrieval access for Level 1 & 2 data • Integrate EPA ENVI script for instant access to • BSQ/Albers data in EarthWhere – capability to • clip, reproject, resample, combine, and reformat • with other datasets ( IKONOS, QB, Landsat ) • Integrate algorithms to “on-the-fly” processing New Science Products DAAC • Task 2 • Integrate ENVI engine to EarthWhere for direct • support of HDF raw data – no conversion • Advance support for other types of data • LIDAR, ASTER, AVIRIS, MODIS • Algorithm manipulation via IDL Automatically Spatially-organized Searchable datasets Add support for Modis using ENVI backend 13 data products EarthWhere System

17. EarthWhere Detailed Architecture ENVI/IDL support

18. Roadmap 4.0 - Distributed Provisioning Dataset 3 Dataset 2 Dataset 1

19. Summary • EarthWhere™ has been proven to optimize data management and dissemination processes (provisioning) primarily in the “ortho-imagery” world • SANZ has identified a growing remote sensing end user community which has unique requirements but similar issues • SANZ and RSI have begun to collaborate on the integration of ENVI/IDL and EarthWhere • The EPA has agreed to become a pilot test bed for this new technology sponsored by John Iiames and Dorsey Worthy – kick the ball into play • Project results will be made available to EPA upon conclusion of the project – Dec 2004 • http://www.earthwhere.com for more information