News Article | November 23, 2016
Commercial Satellite Imaging Market For Geospatial Technology, Defense & Intelligence, Construction & Development, Energy, Natural Resources Management and others Application And By End-Users Military, Forest, Government, Commercial Enterprises, Agriculture, Energy and others : Global Industry Perspective, Comprehensive Analysis, Size, Share, Growth, Segment, Trends and Forecast, 2014 – 2020 The report covers forecast and analysis for the commercial satellite imaging market on a global and regional level. The study provides historic data of 2014 along with a forecast from 2015 to 2020 based revenue (USD Million). The study includes drivers and restraints for the commercial satellite imaging market along with the impact they have on the demand over the forecast period. Additionally, the report includes study of opportunities available in the commercial satellite imaging market on a global level. In order to give the users of this report a comprehensive view on the commercial satellite imaging market, we have included a detailed competitive scenario, and product portfolio of key vendors. To understand the competitive landscape in the market, an analysis of Porter’s five forces model for the commercial satellite imaging market has also been included. The study encompasses a market attractiveness analysis, wherein application segments are benchmarked based on their market size, growth rate and general attractiveness. The study provides a decisive view on the commercial satellite imaging market by segmenting the market based on applications and end-users. All the application segments have been analyzed based on present and future trends and the market is estimated from 2014 to 2020. Key application markets covered under this study includes geospatial technology, defense and intelligence, construction and development, energy, natural resources management and others. Military, forest, government, commercial enterprises, agriculture, energy, and others are the end-user segment of this market. The regional segmentation includes the current and forecast demand for North America, Europe, Asia Pacific, Latin America and Middle East and Africa with its further bifurcation into major countries including U.S. Germany, France, UK, China, Japan, India and Brazil. The report covers detailed competitive outlook including company profiles of the key participants operating in the global market. Key players profiled in the report include GeoEye Inc., BlackBridge (RapidEye), Planet Labs, Inc., Spaceknow, Inc., Skybox Imaging, Inc., Trimble Navigation Limited, Digital Globe, Inc., Image Sat International N.V., Astrium Geo, SkyLab Analytics, Telespazio, Google Inc., and Galileo Group. The report segments the global commercial satellite imaging market into:
News Article | September 22, 2017
There's a battle going on in outer space, for control of the Earth imaging market. Yesterday morning, we learned that DigitalGlobe (NYSE:DGI) has sold itself to Canadian space-tech specialist MacDonald, Dettwiler and Associates for a purchase price of $2.4 billion -- and not a moment too soon. DigitalGlobe, if you recall, is the American satellite-imaging company that itself bought one-time Motley Fool recommendation GeoEye a few years ago. Just before announcing its own sale, DigitalGlobe reported a loss for its fiscal fourth quarter. And if you ask me, this suggests the time is ripe for DigitalGlobe to cash out -- the more so because its primary area of business is about to get even tougher to compete in. DigitalGlobe is one of the biggest names in satellite-based, highly detailed Earth imaging. The company operates a constellation of five satellites capable of snapping photographs from orbit at resolutions as minute as 30 centimeters per pixel. DigitalGlobe calls its constellation "the best in the world" and "the largest constellation in the industry," and that's at least half right. Problem is, it's also half wrong. DigitalGlobe may dominate the market for highly detailed Earth imaging. But over at upstart Planet Labs (also known simply as "Planet"), one of the leaders of the "new space" industry is rapidly overtaking DigitalGlobe in breadth of coverage. As we discussed last month, Planet had for some time been discussing acquiring Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) satellite imaging business, Terra Bella. The purchase price remains a mystery -- but the deal itself is apparently now a "go." On Feb. 3, Planet confirmed that it will indeed acquire Terra Bella from Alphabet, along with its fleet of seven high-resolution (capable of sub-meter resolutions) satellites. Then, last week, Planet announced the launch of 88 new "Dove" medium-resolution (three to five meters per pixel) satellites, more than doubling the size of its medium-res constellation to 144 birds in orbit. Planet made history here in a couple of ways. First, its deployment was part of an Indian government PSLV (Polar Satellite Launch Vehicle) launch that sent 16 other satellites, in addition to Planet's, into space. At 104 satellites total, the mission that carried Planet's Doves was the largest-ever satellite deployment made from a single rocket. More important, Planet says that its 144 Doves in orbit, plus five RapidEye satellites acquired from BlackBridge in 2015, give it a constellation of 149 satellites in orbit today. Feel free to mentally add seven more to that number once the Terra Bella acquisition is finalized, if you like. But already, Planet's mixed bag of 149 satellites gives it "the largest private satellite constellation in history." This is significant not only because it gives Planet bragging rights. By more than doubling its satellite constellation, Planet says it now has the ability to "image all of Earth's landmass every day." Alone among satellite operators, Planet can now take a snapshot of every square foot of Earth's solid surface once per day, every day of the year. With every passing day, Planet Labs is getting bigger, treading more and more on DigitalGlobe's astro-turf, and making its rival's products nonunique. Indeed, even if the photos taken by Planet's Doves don't offer quite the same resolution as DigitalGlobe offers, Planet's ability to take so many snapshots every day gives the company a more all-encompassing view of what's happening around the globe. It's difficult to guess what advances will flow from access to such data. Better weather forecasting, certainly. A clearer view of the progression of global warming, its effects and its causes, very likely. But we can also anticipate Planet generating better data on traffic patterns on highways, at ports, and along shipping routes; on the spread of residential development that could guide brick-and-mortar retailers on where to place their next big-box stores; and in countless other ways. The future is looking awfully bright for Planet Labs. And it's getting brighter every day, one Dove at a time.
News Article | February 15, 2017
A rocket loaded down with a record number of satellites just launched on its way to orbit. The Indian Space Research Organization's (ISRO) Polar Satellite Launch Vehicle (PSLV) blasted off on Tuesday at 10:58 p.m. ET to bring 104 satellites to space, the largest clutch of spacecraft ever launched by one rocket. SEE ALSO: 88 satellites will launch on Valentine's Day to image the entire Earth every day This launch beats out the previously record set by a Russian rocket that brought 37 satellites to orbit in 2014. The PSLV's main payload is an Earth-mapping satellite for India, but its largest haul is the 88 small Dove satellites for the Earth-observing company Planet. Those satellites, once functioning in orbit, will allow Planet to image the entire Earth every day, when combined with data beamed back to engineers from 12 other Doves and RapidEye satellites operated by the U.S. company. Imaging the whole Earth every day has been the company's goal (nicknamed "Mission One") since it was founded in 2010. "We've had a lot of launches under our belts but this is the one that we feel really defines Mission One," Mike Safyan, Planet's director of launch and regulatory affairs, said in an interview before launch. "It's a pretty special feeling to think back [to] all those years ago when we were a scrappy team inside a garage dreaming about this day, and now this day has finally come." Being able to photograph the entire Earth every day will allow customers using Planet's data to keep close track of a number of things. One possible use of the data is in tracking deforestation, Safyan said. Instead of just seeing one area every couple of months, tracking changes to a specific part of the world on a daily basis will allow people on the ground to actually do something about any illegal deforestation occurring. "If everyday you're getting an alert where trees are going down where they aren't allowed to be harvested or cut down, then you can actually go and send someone and do something about it," Safyan added. This marks the 15th Dove launch for Planet and will give the company a total of 100 of these satellites in orbit.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: SPA.2010.1.1-01 | Award Amount: 3.39M | Year: 2011
It is the overall aim of EUFODOS to develop specific Forest Downstream Services (FDS) that are urgently required by regional European users in an economically viable manner and utilise the GMES Land Forest Core products as a basis for the development of these services. The specific FDS which will be examined and developed to a pre-operational level are related to assessment of forest damage and mapping forest functional parameters. As the GMES Land Core products are not yet operational the FDS will thus also provide a pre-operational validation of the GMES services and products. The FDS programme is based on 3 foundations: technical/methodological developments which will be based on an approach that combines Earth Observation (EO) and in-situ data as well as the GMES Forest Core products; the formation of a functional Service Network (SN) which includes effective representation/involvement of the user community, the service providers and the research community; and the assessment of the economic feasibility of developing the service cases such that they are sustainable. Thus these foundations form the following programme objectives: 1. Development of a FDS Service Network comprised of service providers, users and the research community for effective involvement of all stakeholders and service delivery. 2. The investigation and implementation of methodologies for forest degradation assessment and forest functions parameter mapping for the provision of pre-operational systems. 3. The users commitments to participate in the validation of the Core products, as well as the utility assessment of the downstream services within their own work practices. 4. The assessment of the economic cases for these different regional downstream services to ensure sustainability. All the objectives will be fulfilled within the lifespan of the EUFODOS programme.
Eitel J.U.H.,University of Idaho |
Vierling L.A.,University of Idaho |
Litvak M.E.,University of New Mexico |
Long D.S.,Columbia Plateau Conservation Research Center |
And 4 more authors.
Remote Sensing of Environment | Year: 2011
Multiple plant stresses can affect the health, esthetic condition, and timber harvest value of conifer forests. To monitor spatial and temporal dynamic forest stress conditions, timely, accurate, and cost-effective information is needed that could be provided by remote sensing. Recently, satellite imagery has become available via the RapidEye satellite constellation to provide spectral information in five broad bands, including the red-edge region (690-730. nm) of the electromagnetic spectrum. We tested the hypothesis that broadband, red-edge satellite information improves early detection of stress (as manifest by shifts in foliar chlorophyll a. +. b) in a woodland ecosystem relative to other more commonly utilized band combinations of red, green, blue, and near infrared band reflectance spectra. We analyzed a temporally dense time series of 22 RapidEye scenes of a piñon-juniper woodland in central New Mexico acquired before and after stress was induced by girdling. We found that the Normalized Difference Red-Edge index (NDRE) allowed stress to be detected 13. days after girdling - between and 16. days earlier than broadband spectral indices such as the Normalized Difference Vegetation Index (NDVI) and Green NDVI traditionally used for satellite based forest health monitoring. We conclude that red-edge information has the potential to considerably improve forest stress monitoring from satellites and warrants further investigation in other forested ecosystems. © 2011 Elsevier Inc.
Naughton D.,RapidEye AG |
Brunn A.,RapidEye AG |
Czapla-Myers J.,University of Arizona |
Douglass S.,RapidEye AG |
And 3 more authors.
Journal of Applied Remote Sensing | Year: 2011
RapidEye AG is a commercial provider of geospatial information products and customized solutions derived from Earth observation image data. The source of the data is the RapidEye constellation consisting of five low-earth-orbit imaging satellites. We describe the rationale, methods, and results of a reflectance-based vicarious calibration campaign that was conducted between April 2009 and May 2010 at Railroad Valley Playa and Ivanpah Playa to determine the on-orbit radiometric accuracy of the RapidEye sensor. In situ surface spectral reflectance measurements of known ground targets and an assessment of the atmospheric conditions above the sites were taken during spacecraft overpasses. The ground data are used as input to a radiative transfer code to compute a band-specific top-of-atmosphere spectral radiance. A comparison of these predicted values based on absolute physical data to the measured at-sensor spectral radiance provide the absolute calibration of the sensor. Initial assessments show that the RapidEye sensor response is within 8% of the predicted values. Outcomes from this campaign are then used to update the calibration parameters in the ground segment processing system. Subsequent verification events confirmed that the measured RapidEye response improved to within 4% of the predictions based on the vicarious calibration method. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).
Anderson C.,RapidEye AG |
Naughton D.,RapidEye AG |
Brunn A.,RapidEye AG |
Thiele M.,RapidEye AG
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2011
RapidEye AG is a commercial provider of geo-spatial information products derived from Earth observation image data. The source of this data is the RapidEye constellation of five low-earth-orbit imaging satellites. Image data from satellite electro-optical sensors contains spatial artifacts such as banding and streaking that are caused by detector responsivity variations, factors related to image formation, and the space environment. This paper describes the results of a relative radiometric calibration and correction campaign that was conducted between March and July 2011 using the side-slither technique. Radiometrically uniform terrestrial scenes that included desert and snow/ice regions were imaged with a RapidEye sensor in a ninety-degree yaw orbital configuration. In this configuration each detector on the focal plane was positioned parallel to the ground-track direction thereby exposing each detector to the light reflected from the same segment of the ground. This maneuver produced a radiometrically flat-field input to the sensor so that the relative response of each detector was determined for the same exposure level. Side-slither derived detector correction parameters were then used to improve the quality of RapidEye imagery that contained noticeable spatial artifacts. A significant improvement in image correction was achieved when compared to our standard correction procedures. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Thiele M.,RapidEye AG |
Anderson C.,RapidEye AG |
Brunn A.,RapidEye AG
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2012
Radiometric calibration of the RapidEye Multispectral Imager (MSI) as with all other remote sensing instruments is an essential task in the quantitative assessment of sensor image quality and the production of accurate data products for a wide range of geo-spatial applications. Spatially and temporally pseudo-invariant terrestrial targets have long been used to quantify and provide a consistent record of the radiometric performance of Earth observation systems. The RapidEye cross-calibration approach combines temporal and relative calibration to ensure temporal stability in spectral response between it's 5 identical MSI over time by using a large number of repetitive collects of many pseudo-invariant calibration sites. The approach is characterized by its known reliability which is based on the purely statistical analysis of many ground collects with ground infrastructure or measurement systems not being necessary. The results show that the in-band percent difference in the measured response among all RapidEye sensors is less than two percent. Although the results show some offsets between the different sensors, the response of the RapidEye constellation over a three-year period is very stable.
Zillmann E.,RapidEye AG |
Weichelt H.,RapidEye AG
MultiTemp 2013 - 7th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images: "Our Dynamic Environment", Proceedings | Year: 2013
Grasslands cover large areas of the earth's surface and have been extensively converted to other uses such as cultivation and urbanization. The monitoring of grasslands is needed for any land use planning and environmental management. Remote Sensing techniques are suitable to provide detailed spatial information on grassland to support this process. The RapidEye satellite constellation represents a unique potential of multi-temporal acquisition of high resolution image data, therefore, offering a reliable data source for detailed multi-temporal analysis. In the presented study a semi-automatic land-cover classification approach with emphasis on the identification of grassland was developed. The methodology is based on the analysis of multi-temporal RapidEye images using the supervised decision tree (DT) classifier C5 in combination with prepended image segmentation. The results presented correspond to an area of 2500 km2 in the State of Brandenburg / Germany. The classification accuracy was assessed by using randomly distributed independent reference points and the confusion matrix to derive users' and producers' accuracies. The grassland classification of the test area reached an overall accuracy of about 90%. © 2013 IEEE.
Marx A.,RapidEye AG
Photogrammetrie, Fernerkundung, Geoinformation | Year: 2010
The article at hand reveals the methodology and results of a research and development project in the field of applied remote sensing in forest protection and bark beetle monitoring. It was found that using multi-temporal RapidEye imagery, the ground truth data of bark beetle infestation and the application of datamining techniques allow for the recognition and separation of different infestation stages. The analysis suggests a weak trend for the identification of infested groups of trees, which are still widely green. In contrast, the classification of reddish-coloured deteriorating or dead tree groups shows a high accuracy (97% user's, 82 % producer's, kappa: 0.89). © 2010 E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, Germany.