Washington, DC (PRWEB) January 20, 2012
Today, Innovative Analytics and Training, LLC released an independent study on alternative futures for U.S. commercial satellite imagery in 2020. The study, sponsored by the National Environmental Satellite, Data and Information Service (NESDIS), National Oceanic and Atmospheric Administration (NOAA), within the U.S. Department of Commerce, posits three alternative futures for U.S. commercial satellite imagery in 2020. The study was started in late 2010 and includes research conducted up to April 2011. The 2020 timeframe was chosen to reflect the dynamic changes in global thinking and global markets about this topic.
The study documents historical U.S. policy and regulatory perspectives and foreign remote sensing programs. U.S. commercial satellite imagery systems provide valuable support to U.S. security and commercial interests, in addition to their international clients and partners. Yet the U.S. commercial satellite imagery industry will face multiple challenges through the rest of the decade, including those created by U.S. government budget realities, complementary products and services in the information market, and competition from foreign satellite imagery systems and companies.
The study begins with a detailed review of relevant U.S. policy, legal, and regulatory developments from the 1970’s to 2010. Following a discussion about current remote sensing technology developments, the study posits three alternative remote sensing futures in the 2020 timeframe, with an emphasis on high-resolution electro-optical firms like Digital Globe and GeoEye: 1) U.S. Commercial Satellite Imagery is A Thriving Business; 2) A Slow Growth Business, Still a U.S. Government Appendage; 3) Failure as U.S. Government Funds Erode and Competition Grows.
The reader should note that, by definition, none of these futures is “correct” nor reflects a prediction or preference of any kind. Alternative futures methodologies are designed to identify plausible futures, and their underlying factors and drivers, in such a way so that decision-makers can understand important directions on an issue, including those that merit a change in strategy in order to mitigate or avoid futures with negative outcomes or consequences.
The report concludes with a number of independent observations on the future role of the Department of Commerce and NOAA in the governance of space-based remote sensing. For both U.S. and foreign remote sensing countries, space policy and regulation is becoming less relevant (but not irrelevant) to governance of remote sensing as the data is fused with other data sets and incorporated into a broader set of public and commercial applications.
Three appendices are included at the back of the report. The first highlights key areas of remote sensing policy and regulation and how they might be re-considered for the 2020 timeframe. The final two map European and Japanese approaches to remote sensing over the past decade. Here, the reader might take note in the comparative approaches, or the extent to which key U.S. assumptions about foreign behavior were correct, incorrect, or stimulated unintended consequences.
The study was conducted by Robert A. Weber and Kevin M. O’Connell, two senior analysts with decades of experience assessing international remote sensing policies and markets. O’Connell was the co-author (with John Baker and Ray Williamson) of Commercial Observation Satellites: At The Leading Edge of Global Transparency published in 2001 by ASPRS and RAND.
The study is available in electronic form at http://www.innovative-analytics.com
About Innovative Analytics & Training
Innovative Analytics & Training LLC (Innovative Analytics), a privately held company in Washington, D.C., focuses on improving analysis and decision-making for government and commercial clients. Innovative Analytics is “the sources and methods company,” and draws upon analytic methods and techniques that range from critical thinking to rapid global expert network development and advanced analytic applications. They help organizations understand the complexity and data dependencies of their decisions, offer new approaches to using existing information and gather new information to bound the uncertainty within a decision space. For more information on Innovative Analytics, visit http://www.innovative-analytics.com.