Abstract
Abstract. Until very recently, the commercialization of Earth observation systems has largely occurred in two ways: either through the detuning of government satellites or the repurposing of NASA (or other science) data for commercial use. However, the convergence of cloud computing and low-cost satellites is enabling Earth observation companies to tailor observation data to specific markets. Now, underserved constituencies, such as agriculture and energy, can tap into Earth observation data that is provided at a cadence, resolution and cost that can have a real impact to their bottom line. To connect with these markets, OmniEarth fuses data from a variety of sources, synthesizes it into useful and valuable business information, and delivers it to customers via web or mobile interfaces. The “secret sauce” is no longer about having the highest resolution imagery, but rather it is about using that imagery – in conjunction with a number of other sources – to solve complex problems that require timely and contextual information about our dynamic and changing planet. OmniEarth improves subscribers’ ability to visualize the world around them by enhancing their ability to see, analyze, and react to change in real time through a solutions-as-a-service platform.
Highlights
PUSH vs. PULLThe commercial Earth observation market is relatively young
Primarily in the agriculture, energy, and municipal government sectors, take advantage of available Earth observation data and use it to assess, manage, and predict how their businesses interact with a changing world
Our partners and customers are clamouring for analytics and information products that they can purchase without hiring in-house mathematicians and scientists
Summary
The commercial Earth observation market is relatively young. In 1993, the U.S Department of Commerce granted DigitalGlobe ( WorldView) the first license allowing a private enterprise to build and operate a commercial satellite system to collect high-resolution Earth observation imagery (DigitalGlobe, 2015). A number of competitors have entered the market – with companies competing to offer the highest-resolution imagery for the lowest price per pixel Their operations model is largely based on the government tasking model wherein a customer identifies an area to be observed and pays for the satellite to be “tasked” to capture an image over a defined pass or series of passes. 1.1 Enter “Pull” Marketing Advances in fields such as precision agriculture have provided a tantalizing glimpse of the possibilities provided by remote sensing They have illustrated the need for better information products. The new consumers of Earth observation data require an intuitive user interface and integration into their standard business practices To achieve this, they will seek out or “pull” partners to them who can help develop the information products best suited for their business. THE NEED FOR CONSTELLATION MEASUREMENTS AND FUSED DATA interface that incorporates all of the necessary components and is easy to use
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