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Gabriel-Robez C.,Astrium GEO Information Services
32nd Asian Conference on Remote Sensing 2011, ACRS 2011

With four new optical imaging satellites to launch over the next three years, Astrium GEO-Information Services is gearing up to bring its customers the best that space technology has to offer, ensuring continuity of service up to 2023. The Pléiades twins are very-high-resolution satellites delivering 50-cm ortho color products as a standard. The other two are SPOT 6 and 7, designed to extend SPOT 5's success to the 1.5-m product family. Phased on the same orbit, the constellation will enjoy unprecedented reactivity, with intra-day revisit capacity anywhere on the Earth. Multiple tasking plans per day result in an unrivalled optimization of data collection: unforeseen weather changes, as well as last-minute requests, can be taken into account for a first-class level of service. Furthermore, the upcoming constellation enjoys an unheard-of commercial availability. SPOT 6 and 7 are perfectly suited for any kind of application requiring broad coverage (60-km swath at nadir), whereas Pléiades affords the largest swath in the sub-metric market (20 km at nadir), ensuring all users maximized coverage as well as easier data processing and handling. All satellites are equipped with CMGs for state-of-the-art agility, enabling more simultaneous requests to be satisfied on the same pass. With an effective acquisition capacity reaching more than 6 million square kilometers per day for the four-satellite constellation, Astrium GEO-Information Services is more than ever committed to delivering data. The consecutive launches of Pléiades 1 & 2 and SPOT 6 & 7 signal a paradigm shift for Astrium GEO-Information Services. Ready to enter the very-high-resolution market, the company is enhancing its role as a multisensor distributor operating a coherent, optimized multi-resolution constellation to serve applications such as defense, civil protection, hazard management, urban or national mapping, agriculture, and network and infrastructure management. Source

Dick J.,Astrium GEO Information Services
GEO: connexion

Cloud and big data offer the next stage in the geospatial data revolution. Across nearly every industry, big data has emerged as both opportunity and challenge, and the geospatial sector is no exception. Indeed, as the number, variety, and sophistication of earth-imaging satellites orbiting the globe intensifies, the quantity, complexity, and applicability of the data they send back to Earth will only grow. But if big data represents the geospatial industry's aggregate potential for revolutionizing the way such industries look at the world, it is through the cloud that this transformation will actually take place. For it is in the cloud that these enormous repositories of data can not only be properly managed and stored but also processed and mined for the kinds of operational intelligence that is of tangible, mission critical value to organizations. Source

Gaoxiang H.,Airbus | Bignone F.,Astrium GEO Information Services
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

A totally new automatic workflow mechanism, named Second generation Mosaic module, based on the well-known Pixel Factory system, will be introduced here, which enables existing digital orthoimages and mosaics to be quickly updated. The process extracts all required parameters from the reference database to be able to perform automatic bundle adjustment and radiometric adaptation.In this paper, two examples for both satellite data and aerial data processed based on this mechanism will be presented here and discussed. Finally, the cost reduction will also be analysed according to the real mapping updating project.In a final statement, this paper will present an integrated solution named second generation mosaic module based on the well-known Pixel Factory system which is completely dedicated to fast processing of photogrammetric products Thanks to this integrated hardware and software solution, it is even possible to manage large data volume quickly in order to have precise map updating information as soon as possible after acquisition. Source

Saur G.,Fraunhofer Institute for Optronics, System Technologies and Image Exploitation | Estable S.,Airbus | Zielinski K.,Airbus | Knabe S.,Astrium GEO Information Services | And 2 more authors.
OCEANS 2011 IEEE - Spain

The project DEKO (Detection of artificial objects in sea areas) is integrated in the German DeMarine-Security project and focuses on the detection and classification of ships and offshore artificial objects relying on TerraSAR-X as well as on RapidEye multispectral optical images. The objectives are 1/ the development of reliable detection algorithms and 2/ the definition of effective, customized service concepts. In addition to an earlier publication, we describe in the following paper some selected results of our work. The algorithms for TerraSAR-X have been extended to a processing chain including all needed steps for ship detection and ship signature analysis, with an emphasis on object segmentation. For Rapid Eye imagery, a ship detection algorithm has been developed. Finally, some applications are described: Ship monitoring in the Strait of Dover based on TerraSAR-X StripMap using AIS information for verification, analyzing TerraSAR-X HighResolution scenes of an industrial harbor and finally an example of surveying a wind farm using change detection. © 2011 IEEE. Source

Koppe W.,Astrium GEO Information Services | Koppe W.,University of Cologne | Gnyp M.L.,University of Cologne | Hennig S.D.,Astrium GEO Information Services | And 6 more authors.
Photogrammetrie, Fernerkundung, Geoinformation

This paper illustrates the results obtained in the frame of experimental campaigns carried out on winter wheat fields in the North China Plain from March 2006 to June 2007. Investigations focused on the methodology of estimating biomass on a regional scale with hyperspectral (EO-1 Hyperion) and microwave data (Envisat ASAR). Special importance is drawn to the combined analysis of microwave and optical satellite data for crop monitoring. Since hyperspectral and synthetic aperture radar (SAR) sensors respond to crop characteristics differently, their complementary information content can support the estimation of crop conditions. During the regular field measurements, satellite data from jointing to ripening stages were acquired. Linear regression models between measured surface reflection as well as surface backscatter and wheat's standing biomass were established. For hyperspectral data, the normalized ratio index (NRI) based on 825 nm and 1225 nm wavebands was calculated from 2006 data as input for the regression model. In addition, Envisat ASAR VV polarization data were related to winter wheat crop parameters. Bivariate correlation results from this study indicate that both multi-temporal EO-1 Hyperion as well as Envisat ASAR data provide notable relationships with crop conditions. As expected, linear correlation of hyperspectral data performed slightly better for biomass estimation (R 2 = 0.83) than microwave data (R 2 = 0.75) for the 2006 field survey. Based on the results, hyperspectral Hyperion data seem to be more sensitive to crop conditions. Improvements for crop parameter estimation were achieved by combining hyperspectral indices and microwave backscatter into a multiple regression analysis as a function of crop parameters. Combined analysis was performed for biomass estimation (R 2 = 0.90) with notable improvements in prediction power. © 2012 E. Schweizerbart'sche Ve rlagsbuchhandlung. Source

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