Proteus, a provider of satellite-derived mapping and classification services, has been signed by international geospatial solution provider BlackBridge as a reseller of RapidEye satellite data. Proteus has hired geospatial-industry expert Chris Burnett to manage the sale of RapidEye imagery and future data sets.
Since 2011, Proteus has been delivering solutions for mapping and classification projects using multispectral satellite imagery. These mapping projects have been delivered for environmental, oil & gas, engineering and other coastal zone applications in Europe, USA, the Middle East and Caribbean.
“In just three years, Proteus has become a premier provider of satellite mapping projects, specializing in bathymetric and seafloor classification applications” said Proteus CEO David Critchley. “Expanding into the distribution of high-quality imagery – both raw and processed – is the next step in our growth strategy.”
To direct distribution of high-resolution multispectral RapidEye imagery, Proteus has welcomed Chris Burnett to the company. With a degree in mapping and cartography from Oxford Brooks University, Chris has an extensive background in surveying, geodesy, and GIS. He honed his geospatial skills and expertise during 10 years at Blom ASA.
“The RapidEye satellite constellation is unique in its combination of multispectral bands and daily revisit capability,” said Burnett. “The Red Edge band gives RapidEye data a distinct advantage in feature classification projects.”
Burnett will focus his initial business development efforts on selling RapidEye imagery to agriculture, environmental, forestry and oil & gas clients. Based in the Bristol, U.K., headquarters, Chris also serves as the firm’s newest project manager, handling contracts relating to Proteus’ growing list of clients worldwide.
“Chris Burnett and RapidEye products are both great additions to Proteus,” said Critchley. “We are in a growth mode and will announce additional hires and new data sets this year.”
Proteus employs advanced image processing algorithms to extract highly accurate water depth measurements from satellite imagery. The bathymetric mapping process can typically be completed on one-tenth the time and a fraction of the cost of airborne LiDAR or ship-borne sonar methods. In addition, the satellite-based technique does not jeopardize a vessel or the fragile environment in the shallow coastal zone. Depending on water conditions, the satellite-derived process has been successful to depths of 35 meters.