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Joint ASPRS/NASA CRSP Activities in Support of SAA

This document outlines the activities, milestones, and goals of the joint ASPRS/NASA CRSP project to develop a comprehensive analysis of the remote sensing industry. The project aims to establish industry baselines and standards to maximize the socio-economic potential of remote sensing.

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Joint ASPRS/NASA CRSP Activities in Support of SAA

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  1. Joint ASPRS/NASA CRSP Activities in Support of SAA As Of 12/07/99

  2. Discussed & Tentatively Accepted SAA Vison, Mission, Goals and Objectives Confirmed May 2000 Committment Continued Organizing Confirmed Forecast Sections Confirmed Industry Segments Confirmed Forecast Framework Confirmed Data Collection Approach Developed Initial Interview and Survey Plans Developed Interview List Continued to Develop Timely Issues Shelved “Definitions” Generated New Tasks ASPRS/CRSP Tasks Accomplished 11/17

  3. (Who, what, when, where, why) (Major milestones. Qualitative and Quantitative) (You gotta be able to know you’re there) (Measurable) (Enable/Facilitate get there) Strategic Plan Contents (Attainable end-state) • Vision 5-years • Mission • Goals • Objectives • Strategies

  4. Background The commercial remote sensing industry (RSI) is on the verge of a dramatic take-off. The potential socio-economic, environmental and national security benefits to the U.S. are huge, especially as we enter the Information Age. To more clearly determine future remote sensing (RS) needs and requirements and maximize the socio-economic potential, industry baselines and standards need to be established. The combined resources of ASPRS and NASA’s Commercial Remote Sensing Program (CRSP) are particularly well suited to lead this base-lining effort. Under the aegis of a 5-year Space Act Agreement (SAA), ASPRS and CRSP have combined resources and expertise and, over the next half-decade, will develop the definitive Industry view of the RSI. Vision. By end-FY 2004, the joint ASPRS/NASA CRSP endeavor will produce a cohesive, comprehensive Remote Sensing Industry analysis that will serve as the planning standard for both USG and private industry enterprises and facilitate U.S. dominance in this highly competitive market. Vision

  5. By end FY 2004, ASPRS and NASA/CRSP will jointly develop the Remote Sensing Industry standard baseline and 10-year business forecast and related processes Mission

  6. Create and Maintain Interest and Awareness of the Project 8/1999 to 9/2004 Develop (“CEO”) Interview Process 8/1999 to 1/2001 Develop Survey Process* 8/1999 to 1/2001 Develop Market Forecast Process** 8/1999 to 6/2002 Present Results of Literature Searches Re: Key Trends and Issues 5/2000 to 9/2004 Conduct Interview II and Survey II 1/2003 to 12/2003 Conduct Forecast II 1/2004 to 12/2004 Goals * = Includes Reporting Final Results 12/2000 ** = Includes Reporting Final Results 12/2000

  7. Objectives 1

  8. Objectives 2

  9. Present: SAA Strategic Plan Interim Interview Results Survey Plan Consolidated May 2000 Objective

  10. Forecast IPT Charles Mondello Ron Rabin Jim Plasker Nate Boyer Bill Piper Melinda Brown George Hepner Gary Moll Barbara Brodtmann Alan Mikuni Karen Schuckman Joan Zelinski Co-Chairpersons Mike Renslow Mark Mick Vice Co-Chairpersons John Schott • Working Group IPTs Will • be Formed as Needed • Lit. Search: Jim Plasker/Mark Mick • Interview: Charles Mondello/Ron Rabin • Survey: Bill Piper/Jim Plasker • Forecast: Ron Rabin/Mindy Brown • Marketing: Mindy Brown

  11. Baseline of Major Industry Segments 10-year Industry Forecast (Total and by Segment) Key Issues, Trends and Drivers Key Technologies Future Directions and Opportunities Forecast Sections

  12. Decide to Conduct Forecast Determine Purpose & Focus Area(s) Determine Essential Information Elements Formulate Forecast Objectives Develop Data Collection Plan Develop Report Outline Forecast Process Overview We are about Here in the process Organize To Conduct Forecast Assemble Team • Written • Presentation Collect Data Develop Forecast Plan Analyze Data • I.D. Opportunity Areas • Technologies • New Products • Basic Research • Training/Education • Employment Select Segments For Analysis Conclusions Recommendations Present Forecast • Interview • Survey • Lit. Search Feedback/Lessons Learned 9

  13. Data Collection Data Processing HARDWARE/SOFTWARE TOOLMAKERS Remote Sensing Industry Segments Platforms & Sensors Support Elements Industry Intermediaries Industry Segments End-User

  14. Forecast Framework Industry Segments Business Segments Support Elements Commercial Intermediaries Market Segments Government Data Processing Data Collection In Work

  15. Collection Matrix Actual Example

  16. Survey Results Interview Results Literature Search Collect Survey Data Forecast Data Collection & Analysis Approach Drivers • Goals • Organization • Definition • Customer Segments • Forecast Sections • Forecast Framework Technologies ANALYSIS Issues Business Potential Opportunities Essential Forecast Elements of Information Interviews & Analysis Interview Lists & Appointments We Are About Here Survey Analysis Interview Plan OBJECTIVES (Who/What/ Where?) Targets Means Survey Plan Collection Plan

  17. Effects of eCommerce/eBusiness on RSI Information Security Perceived Government Competition Workforce Development End-User Development Industry Standards/Interoperability ??? Potential Issues to Address

  18. Tasks • Strategic Plan ( Mondello and Rabin) 17 Nov • 5 Questions for “CEOs” (Piper) 17 Nov • Definitions (Boyer) • 10 Interviews (Renslow and Mondello) • 150 Interviews (Renslow and Mondello) • Analysis of Interview Results (IPT) • Survey Construct (Piper) • Survey Distribution (Plasker) • Analysis of Survey Results (IPT) • Combined Analysis of Survey and Interview Results (IPT) • Prepare for May 2000 (IPT) Additional Tasks To be provided by C. Mondello

  19. Back-Up

  20. Top-line Market Forecast Example Data Collection Support Elements Industry Intermediaries Data Processing

  21. Example Forecast by Market of Interest

  22. Example Forecast by Application

  23. Data Base Concepts Select Data Fields for - Aerial - Space - Customer - Business - Other??? draft

  24. Remote Sensing Industry Decision Makers End-Users End-Users Data Collection Data Processing/ VADs Decision Makers Decision Makers Industry Intermediaries Support Elements End-Users End-Users Decision Makers • Includes : • Data Collectors • Data Processers • Industry Intermediaries • Support Elements • Decision Makers • End-Users

  25. Industry Segments Commercial End-users Commercial Outlet Industry (nee VARs, etc.) Government Agencies Academia “Not-for Profits” Personal Use

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