Resources & Downloads

All information in one place.

 

  • Brochures
  • Showcases
  • Global Coverage
  • RapidEye in Action
  • Papers
  • Specs & Price Lists
  • Legal Documents
  • Sample Data
  • FAQs

Brochures

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Satellite Image Products Brochure english German French French Portuguese
Agriculture: Monitoring your Fields english - spanish - -
Visualization & Simulation english - - - -

Global Coverage & Frequency

We have you covered: RapidEye's imaging capabilities are unrivaled and our coverage and frequency maps are reflective of that. Our constellation of five identical satellites has the capability to collect 4 Million km² of most current and high quality imagery every day. RapidEye has almost 3 Billion km² of high-resolution imagery in its archive, both current and historical.

  • Coverage and Frequency Maps
  • Country Coverage Overviews
  • Coverage Showcases

 

Q2 2011: Acquisition Frequency and Coverage

Europe North America Latin America Australasia Africa & Middle East Asia

Q1 2011: Acquisition Frequency and Coverage

Europe North America Latin America Australasia Africa & Middle East Asia

2010: Acquisition Frequency and Coverage

Europe North America Latin America Australasia Africa & Middle East Asia

2009: Acquisition Frequency and Coverage

Europe North America Latin America Australasia Africa & Middle East Asia

Coverage overviews for selected countries

Europe | North America | South & America | Africa & Middle East | Asia & Pacific

If you want to see detailed coverage of your country but can't find it here, click here.

Please note: The coverage maps shown below do not reflect the quality of RapidEye's imagery. They are browse images only and are not always the best representation of an image. Also, in many cases, the best image of a specific region is not always included into a composite coverage map. For more detailed image viewing and a full list of what images are available for any given area on earth, visit EyeFind, RapidEye's Archive Discovery Tool at http://eyefind.rapideye.net/

Europe
  Country Coverage Preview Imaging Time Frame
Croatia January 2011 - November 2011
Denmark January 2011 - November 2011
France January 2011 - November 2011
Germany January 2011 - November 2011
The Netherlands January 2011 - November 2011
flag Norway January 2010 - November 2011
flag Poland January 2011 - November 2011
flag Spain MAP January 2011 - November 2011
flag Sweden MAP January 2010 - November 2011
flag Ukraine MAP January 2011 - November 2011

North America
  Country Coverage Preview Imaging Time Frame
Canada

January 2011 - November 2011

flag U.S.A. MAP January 2011 - November 2011

South & Central America
  Country Coverage Preview Imaging Time Frame
Argentina

January 2011 - November 2011

Bolivia

January 2011 - November 2011

Brazil January 2011 - November 2011
Chile September 2009 - November 2011
Colombia

January 2010 - November 2011

Costa Rica

January 2010 - November 2011

Ecuador

April 2009 - November 2011

Guatemala

January 2011 - November 2011

Guyana January 2010 - November 2011
Haiti May 2009 - November 2011
Honduras January 2010 - November 2011
Mexico January 2011 - November 2011
flag Nicaragua September 2010 - November 2011
Panama January 2011 - November 2011
Paraguay January 2011 - November 2011
Peru January 2010 - November 2011
flag Suriname MAP January 2009 - November 2011
flag Uruguay MAP January 2011 - November 2011
flag Venezuela MAP January 2010 - November 2011

Africa & Middle East
  Country Coverage Preview Imaging Time Frame
Afghanistan January 2011 - November 2011
Algeria May 2009 - November 2011
Central African Republic

April 2009 - November 2011

Chad January 2010 - November 2011
Cote d'Ivoire

April 2009 - November 2011

Democratic Republic Congo

January 2011 - November 2011

Eritrea May 2009 - November 2011
Gabon

April 2009 - November 2011

Ethiopia February 2009 - November 2011
Iraq September 2010 - November 2011
Kenya

January 2010 - November 2011

Libya June 2010 - November 2011
Morocco June 2010 - November 2011
flag Mozambique January 2010 - November 2011
Mali January 2009 - November 2011
Namibia February 2009 - November 2011
Nigeria

January 2011 - November 2011

Republic of Congo

April 2009 - November 2011

flag Saudi Arabia January 2011 - November 2011
flag South Africa January 2010 - November 2011
flag Sudan

January 2010 - November 2011

flag Tanzania

January 2010 - November 2011

flag Uganda MAP January 2010 - November 2011
flag Turkey MAP January 2010 - November 2011
flag United Arab Emirates MAP June 2010 - November 2011
flag Yemen MAP January 2011 - November 2011
flag Zambia

April 2009 - November 2011

flag Zimbabwe MAP January 2010 - November 2011

Asia & Pacific
  Country Coverage Preview Imaging Time Frame
Bangladesh

January 2011 - November 2011

Bhutan

January 2011 - November 2011

Cambodia

July 2010 - November 2011

China January 2010 - November 2011
India January 2010 - November 2011
Indonesia

April 2009 - November 2011

Japan May 2009 - November 2011
Laos January 2010 - November 2011
Malaysia May 2009 - November 2011
Myanmar January 2011 - November 2011
Mongolia

April 2009 - November 2011

Nepal

January 2011 - November 2011

Pakistan

January 2011 - November 2011

flag Papua New Guinea

April 2009 - November 2011

flag Philippines

April 2009 - November 2011

flag Russia January 2010 - November 2011
flag Solomon Islands

April 2009 - November 2011

flag South Korea January 2011 - November 2011
flag Sri Lanka

April 2009 - November 2011

flag Taiwan MAP January 2010 - November 2011
flag Thailand MAP January 2010 - November 2011
flag Vietnam

January 2010 - November 2011

 

RapidEye in Action

RapidEye's five meter pixel-sized imagery from its constellation of five identical Earth Observation satellites is used by many public and private organizations in order to map and detect changes over natural and man-made disaster areas.

Organizations such as the DLR's Center for Satellite Based Crisis Information, the International Charter, GMES, and the EU project SAFER - Services and Applications for Emergency Response all use RapidEye imagery to create post-event damage maps.

Papers & Publications

Brunn, A., et al, "The calibration procedure of the multispectral imaging instruments on board the RapidEye Remote Sensing Satellites".

Anderson, C., Naughton, D., Brunn, A., Thiele, M., " Radiometric correction of RapidEye imagery using the on-orbit side-slither method," SPIE Proc. 8180, (2011).

Naughton, D., et al, "Absolute radiometric calibration of the RapidEye Multispectral Imager using the reflectance-based vicarious calibration method," SPIE Journal of Applied Remote Sensing 5, (2011).

Watt, P. and Watt, M.: "Applying Satellite Imagery for Forest Planning". NZ Journal of Forestry. May 2011.

Hoberg, T.; Müller, S. (2011): Multitemporal Crop Type Classification using Conditional Random Fields and RapidEye Data. In: ISPRS Proceedings Volume XXXVIII-4/W19, 2011

Conrad, C., Machwitz, M., Schorcht, G., Löw, F., Fritsch, S. & Dech, S. (2011): Potentials of RapidEye time series for improved classification of croprotations in heterogeneous agricultural landscapes: Experiences fromirrigation systems in Central Asia. Proceedings of SPIE 8174 (2011).

Bindel, M., Hese, S., Berger, C. & Schmullius, C. (2011): Evaluation of red-edge spectral information for biotope mapping using RapidEye. Proceedings of SPIE 8174 (2011).

Hyun Ok Kim; Jong Min Yeom; Youn Soo Kim (2011): Agricultural land cover classification using rapideye satellite imagery in South Korea - first result . Proceedings of SPIE 8174 (2011).

Fritsch, S,, Conrad, C., Manschadi, A., Machwitz, M., Rücker, G. & Dech, S. (2011): Estimating regional crop yield at field scale using multitemporal RapidEye data. Poster

Sören Hese:  OBJECT BASED THERMOKARST LAKE CHANGE MAPPING AS PART OF THE ESA DATA USER ELEMENT (DUE) PERMAFROST

Barbara Theilen-Willige: Remote Sensing and GIS Contribution to Earthquake Disaster preparedness in Hungary

Förster, M. Frick, A. Schuster, C. & Kleinschmit, B. (2010): Object-based Change Detection Analysis for the Monitoring of Habitats in the Framework of the NATURA 2000 Directive with Mulit-temporal Satellite Data. In: Addink, E.A. and F.M.B. Van Coillie (Eds). GEOBIA 2010-Geographic Object-Based Image Analysis. Ghent University, Ghent, Belgium, 29 June – 2 July. ISPRS Vol.No. XXXVIII-4/C7. ISSN: 1682-1777

Förster, M.,  Schuster, C. & Kleinschmit, B. (2010): Significance Analysis of Multi-temporal RapidEye Satellite Images in a Land-cover Classification. In: Tate, N.J. & Fisher, P.F. (Eds.) Proceedings of the Ninth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Leicester, UK, 20 - 23 July. 273-276

Schuster, C., Förster, M. & Kleinschmit, B. (2010): Evaluation of the RapidEye red edge channel for improving land-use classifications. In: Kohlhofer, G., Franzen, M. (Hrsg.). 2010. Tagungsband Dreiländertagung OVG, DGPF und SGPF. 30. Wissenschaftlich-Technische Jahrestagung der DGPF. Technische Universiät Wien, Wien, Österreich, 1.-3. Juli. Band 19, S. 119-126

F Vuolo, C Atzberger, K Richter, J Dash (2010): RETRIEVAL OF BIOPHYSICAL VEGETATION PRODUCTS FROM RAPIDEYE IMAGERY. Symposium A Quarterly Journal In Modern Foreign Literatures (2010) Volume: XXXVIII, Pages: 281-286

Tapsall Brooke, Milenov Pavel, Tasdemir Kadim (2010). Analysis of rapideye imagery for annual landcover mapping as an aid to European Union (EU) common agricultural policy. In: ISPRS Technical Commission VII Symposium - 100 Years ISPRS Advancing Remote Sensing Science; 05 July 2010; Vienna (Austria). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII (7B) p. 568-573. JRC59234

Nielsen, A.A.;   Hecheltjen, A.;   Thonfeld, F.;   Canty, M.J. (2010): Automatic change detection in RapidEye data using the combined MAD and kernel MAF methods. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Sample Data

Full-resolution RapidEye Free Sample Data products are available to download and view. We have a collection of Free Sample Data of various product types and geographies. Over time, we will be providing additional products for your review.

Please log on or register to download free sample data and more


FAQs

RapidEye offers answers to frequently asked questions about our products, satellites and constellation, purchasing options and more. Should you have any further questions, please consult our Contact Us page.

  • Product Information
  • Satellite Tasking
  • Product Viewing
  • Purchasing Products
  • Distributor Information

Product Information

Q: Can you supply me with customized demonstration products over a specified area?
A: We can provide you with data that holds similar characteristics to your area of interest and will do our best to provide you with data from the same region, however we will not produce customized test data. For the latest list of demonstration products go here


Q: Does RapidEye supply multispectral data?
A: Yes, the RapidEye sensors provide five band multispectral images with native resolution of 6.5m. The following table lists the spectral range of the five RapidEye bands:

Band # Name Spectral Range (nm)
1 Blue 440 – 510
2 Green 520 – 590
3 Red 630 – 685
4 Red-Edge 690 – 730
5 Near Infrared Near Infrared 760 – 850

All RapidEye Satellite Image products are offered with all five spectral bands. The 1B Basic product is offered at the native sensor resolution of 6.5m and the 3A Orthorectified product is offered at a resampled resolution of 5m.


Q: Does RapidEye supply panchromatic data?
A: No, the RapidEye sensors are not equipped with a panchromatic band, so we cannot supply panchromatic data.


Q: What is the positional accuracy of RapidEye products?
A: The positional accuracy of the RapidEye products varies between countries and regions, depending on available ground control data. Ground control points (GCPs) are used during the cataloging process to refine the locational accuracy of all products. The positional accuracy of the 1B Basic product can be as accurate as 11.0m 1-sigma (23.6m CE90). Our RapidEye 3A Ortho product can be as accurate as 6m 1-sigma (12.7m CE90) depending upon the GCPs and DEM used.


Q: What is the quality of RapidEye radiometry?
A: RapidEye continuously monitors acquired image data to ensure long term stability and intercomparability among all five sensors. In addition, image data is frequently acquired from a number of calibration sites spread worldwide. These statistics are also used to ensure that each band stays within a range of +/- 2.5% from the band mean value across the constellation.

A reflectance-based vicarious calibration campaign was conducted between April 2009 and May 2010 at Railroad Valley Playa, Nevada, USA and Ivanpah Playa, Nevada, USA to determine the on-orbit radiometric accuracy of the RapidEye sensor. In-situ surface spectralreflectance measurements of known ground targets and an assessment of the atmospheric conditions above the sites were taken during spacecraft overpasses. The ground data were used as input to a radiative transfer code to compute a band specific top-of-atmosphere (TOA) spectral radiance. A comparison of these predicted values based on absolute physical data to the measured at-sensor spectral radiance provided the absolute calibration of the sensor. Initial assessments showed that the RapidEye sensor response was within 7% of the predicted values. Outcomes from this campaign were then used to update the calibration parameters in the ground segment processing system. Subsequent verification events confirmed that the measured RapidEye response was improved to within 4% of the predictions based on the vicarious calibration method.


Q: What is your band to band registration and multi-temporal pixel to pixel registration accuracy?
A: For areas where the terrain slope is below 10°, the band to band co-registration should be within 0.2 pixels or less (1-sigma). For areas with a slope angle of more than 10° and/or areas with a very poor image structure (e.g. sand dunes, water bodies, areas with significant snow cover) the co-registration accuracy may not be met. The co-registration accuracy of two products from different dates (multi-temporal) is directly related to the accuracy of the products being used. Since each product is produced independently, their geolocation accuracy will vary.


Q: What is blackfill? Why does my order contain 3A tiles with blackfill and some without blackfill?
A: Blackfill within an image product are areas that do not contain valid imagery for that area. Blackfill in 3A orthorectified tiles is due to the fact that the RapidEye image data, collected in 77km wide Image Takes at a certain inclination, is processed for the 3A products in tiles, that are based on a fixed grid. This results in tiles not always filled with imaged data. Blackfill within the Area Of Interest (AOI) specified for an order indicates that not all the tiles within the AOI could be collected in a single imaging attempt. In most cases, for tiles with blackfill, RapidEye will provide complementary tile(s) that will contain the missing data, thus providing full coverage. An example of complementary tiles is shown below:

Blackfill outside of the AOI may or may not occur, and no attempt will be made to provide valid imagery for those areas.


Q: What is the RapidEye tiling system? How does this correspond to the UTM grid?
A: The RapidEye tiling system divides the world between +/- 84º into zones based the UTM grid. Each tile is defined by a respective UTM zone, and then by a RapidEye defined row and column number. For example a tile with the ID number of 3354105 is located in UTM zone 33, row 541 and column 05. The tile grid defines 24km by 24km tiles with a 1km overlap, resulting in 25km by 25km tiles.

A ESRI Shapefile of the RapidEye Level 3A tile grid can be downloaded here


Q: How are RapidEye 3A products processed?
A: The RapidEye 3A is an orthorectified product. Orthorectification is the process used to remove distortions to an image coming from topographic relief (the Earth's surface) or the camera used to take the image. To remove the surface distortions or topographic relief, Digital Elevation Models (DEMs) are used, along with Ground Control Points (GCPs). Orthorectified images can be used to measure true distances on the ground, because they are an accurate representation of the surface of the Earth, like a map.

RapidEye 3A products are orthorectified as 25km by 25km image tiles, with each tile produced independently during the production process. During the orthorectification processing, extra imagery outside of the boundary of the tiles is used in marking GCPs. This marking process is used to accurately locate the imagery to known ground features. Since each tile is produced independently and each tile's extent is different, the GCPs and number of GCPs will vary from tile to tile. After the marking process, a DEM is used to remove the terrain distortions from the image. The accuracy of both the GCPs and DEM affect the accuracy of the final image product. Please consult the Satellite Image Product Specification document for further details of the accuracy of the 3A product and the GCPs and DEMs used.


Q: Which areas cannot be acquired by RapidEye satellites and why?
A: All land areas of the world between 84 degrees North and 84 degrees South can be acquired by the RapidEye satellites in normal operational mode. We do exclude water and ice regions, because they do not contain identifiable landmarks. Landmarks (features or points with well known geo-locations) are needed to band align the images and are also used to improve the georeferencing of the image data. There are, however, seasonal restrictions on imaging, driven by the need for sufficient illumination levels. In higher latitudes, imaging is restricted during the hemisphere's winter to areas with a sun elevation angle of 30 degrees or more. The low sun elevation negatively affects our image quality and not the capability to acquire images. Generally speaking, the lower the sun elevation, the darker the image becomes. This affects Central and Northern Europe, Northern Asia and Northern U.S./ Canada in the northern hemisphere's winter and Southern Argentina and Chili, Tasmania and New Zealand in southern hemisphere's winter. Please contact RapidEye if your needs involve imaging areas during low illumination conditions. We will consider every request and advise you on the to be expected image quality.


Q: What factors are considered when acquiring imagery for the RapidEye Archive? I have noticed that some areas are acquired several times a month and other areas haven't been acquired at all!
A: The RapidEye Archive contains all the image data acquired by the RapidEye satellites, as long as it meets the quality standards outlined in the RapidEye Product Specification document and is not restricted by special agreement. This includes all the data acquired in response to customer orders, as long as it meets the two criteria above.


Q: How can I purchase DEMs from RapidEye?
A: RapidEye does not currently sell digital elevation models (DEMs) as a standard product.


Q: How can I translate the radiance values of a RapidEye image product into reflectance values?
A: The digital numbers of the RapidEye image pixels represent

  • absolute calibrated radiance values for non atmospheric corrected images
  • reflectance values for atmospheric corrected images (currently not offered for delivery)

To convert the Digital Number (DN) of a pixel to radiance it is necessary to multiply the DN value by the radiometric scale factor, as follows: RAD(i) = DN(i) * radiometricScaleFactor(i)

The resulting value is the Top of Atmosphere (TOA) radiance of that pixel in watts per steradian per square meter (W/m2 sr μm). The radiometric scale factor for each band can be found in the image XML metadata file under the band specific metadata. Reflectance is generally the ratio of the reflected radiance divided by the incoming radiance. Note, that this ratio has a directional aspect. To turn radiances into a reflectance it is necessary to relate the radiance values (i.e. the pixel DNs) to the radiance the object is illuminated with. This is often done by applying an atmospheric correction software to the image, because this way the impact of the atmosphere to the radiance values is eliminated at the same time. But it would also be possible to neglect the influence of the atmosphere by calculating the Top Of Atmosphere (TOA) reflectance taking into consideration only the sun distance and the geometry of the incoming solar radiation.

The formula to calculate the TOA reflectance not taking into account any atmospheric influence is as follows:

with:

  • i: Number of the spectral band
  • REF: reflectance value
  • RAD: Radiance value
  • SunDist: Earth-Sun Distance at the day of acquisition in Astronomical Units (Note: This value is not fix, it varies between 0.983 289 8912 AU and 1.016 710 3335 AU and has to be calculated for the image acquisition point in time.
  • EAI: Exo-Atmospheric Irradiance
  • SolarZenit: Solar Zenith angle in degrees (= 90° – sun elevation)

For RapidEye the EAI values for the 5 bands are:

  • Blue: 1997.8 W/m²μm
  • Green: 1863.5 W/m²μm
  • Red: 1560.4 W/m²μm
  • Red Edge: 1395.0 W/m²μm
  • Near Infrared: 1124.4 W/m²μm

Satellite Tasking

Q: How do I request satellite tasking for new imagery acquisition?
A: Satellite tasking is made easy by contacting our Customer Support Team (CST) by sending an email to sales@rapideye.net or dialing +49-3381-8904-555. You will be asked to define your area of interest (AOI), time of interest (TOI), end-user license type (please refer to our End-User License Agreements) and cloud cover (CC) threshold. Our CST will provide you with a feasibility report considering your specified acquisition criteria. Additionally you will be provided with an estimated imagery acquisition time frame and a quotation outlining the associated costs.


Q: What is the minimum order size?
A: The minimum order size for new acquisitions is a contiguous AOI of 3,500 km². However, for corridor-like AOIs, an in-depth feasibility analysis will be required.


Q: How can I define my AOI?
A: You can provide your AOI in the following format:

  • Map Projection: Geographic (lat/long)
  • Datum: WGS84
  • File Format: ESRI Shapefile (.shp) or Keyhole Markup Language (.kmz /.kml)

If you are unable to provide an AOI in shapefile or kml format, please provide:

  • If the AOI is rectangular or square, you can define a bounding box by defining the corner coordinates of the order polygon in decimal degrees (lat/long)
  • If the AOI is round, you can define the center point in Lat/long and specify the radius or buffer zone.

Q: What are the (un)acceptable polygon shapes?
A: It is advised to avoid very narrow areas as well as area-around-area shapes (doughnut form). In some cases, for example pipeline monitoring projects, the AOI is often very narrow but lengthy. For such projects it is best to allow a pipeline width of at least 10 km. The best way to check whether your AOI is feasible or not is to contact your CST.


Q: Can I place a tasking order for all 5 satellites over my AOI? Can I define which satellite(s) I would like to collect imagery over my AOI?
A: Unfortunately, this is not possible due to the complexity of pre-acquisition planning. This specific procedure takes into consideration the number of running projects and their specific criteria for every single satellite. Moreover, our 5 satellites are identical in regard to their technical specifications and there would be no difference in imagery taken by different satellites.


Q: The weather forecast over my AOI within the next couple of days is promising cloud- free and sunny weather. Can you program the satellites to acquire my AOI accordingly?
A: Our planning system runs in a way that it cannot be influenced by "external" weather forecast information. Take in mind that the system has to consider not only your AOI(s) but all of the AOIs which lay on the same orbit. Yet, you can be sure that we pay the greatest attention to your orders and that we do our best in order to acquire the needed imagery within the contractual terms.


Q: How much does satellite tasking cost?
A: Our base price for new acquisitions is 0.95 EUR/km². Yet, the actual costs will depend on the size of an AOI, the weather forecast for the AOI within the specified TOI, license type, the number of coverages and preferred delivery options. Our CST will provide you with the tasking fee(s) before the acquisitions begin. For more details on our pricing policy for satellite tasking please refer to our official Price List or contact our CST directly at sales@rapideye.net


Q: How long does it take to acquire new data?
A: Acquisitions of smaller AOIs with good weather forecast can be collected within a couple of days. Larger AOIs may take up to a few weeks or even months to fully acquire, depending on the specified tasking requirements and the weather conditions. Please note that RapidEye can only commit to collecting new imagery on a best effort basis, esp. for AOIs with unfavorable weather forecasts (e.g. tropical regions).


Q: How do I know when my data has been acquired?
A: Your CST is constantly monitoring your imagery acquisitions. You will be informed within 48 hours after successful completion of your imaging. When collecting a large area over a long acquisition window, your CST is able to provide you with a collection status report upon request.


Q: Does the cloud cover threshold indicated in the quality requirements refer to the total AOI or to every single image delivered?
A: The CC threshold always refers to the total AOI and not to the single images delivered. Some of the products could in fact exceed the value stated into the contract if the overall average is respected. However, we always do our best to deliver top quality data, avoiding large and compact cloud areas.


Q: Does the cloud cover calculation of an area include the shadows produced by the clouds and the haze?
A: The shadows produced by the clouds and light haze are not computed as unusable data.


Q: Do I have to pay if my AOI has only been partially covered within the specified TOI?
A: In case of a partial AOI coverage within the given TOI, you have the option to extend the TOI to allow for further acquisitions of your AOI until fully covered. Otherwise the partial coverages are invoiced according to the AOI size acquired that fits your specified requirements. For example, if only 85% of your AOI could be imaged withing the given TOI but only 60% of the acquired imagery fits the total defined requirements, only 60% of your AOI will be invoiced.


Q: Is an extension of the TOI possible without additional costs?
A: It depends on the weather forecast for the extended TOI. By bad weather conditions, uplifts may apply. In such cases, please contact your CST for clarifications.

Product Viewing

Q: Which commercial GIS software packages support the import and processing of RapidEye image products?
A: All commercially available GIS software should support the import and processing of RapidEye imagery using generic routines for the different image products, GeoTiFF for the 3A products and NITF 2.0 for the 1B products. In
some cases the software providers may charge a separate license fee for the handling of NITF files.

In addition to the generic import routines, RapidEye has worked with a number of software vendors to support the specific use of RapidEye imagery and its metadata. In most cases this work has been focused on the importation and handling of the 1B Basic image product. To date the following software packages support the specific use of RapidEye image products:

  • BAE SocetSet v5.6 and later
  • ENVI v4.7 or later
  • ESRI ArcGIS v10.0 or later
  • PCI Geomatica v10.2.1 or later

Q: What can I do if I do not have a suitable GIS/remote sensing software package?
A: Most of the software companies provide basic viewer programs that are free of charge. Most can be downloaded from the Internet, e.g. for the PCI free viewer go to: http://www.pcigeomatics.com/Forms/RequestFreeView_sf.php


Q: Can I view the products with a common image viewer because I do not want to download or install a special GIS/remote sensing software package?
A: The GIS/remote sensing programs referred to above are the best approach. Most common basic image processing viewers cannot handle our products with their five bands and 16 bit data. It may happen that these image viewers will only display a black square. In this case, the one remaining option is to view the reduced resolution browse image that accompanies all products. These browse images do not fully represent all the attributes of the parent images. Note also that few if any of the common viewers will open the NITF files of the 1B product.


Q: When I view the products with my GIS/remote sensing software the colors I see are very pale and/or dark. What can I do?
A: For proper viewing please use the image enhancement tools of your image viewer package and adjust the contrast of the imagery as necessary.


Q: When I view the products with an image processing software like Adobe Photoshop I see the colors very pale and/or dark and the bands seem to be mixed up. What can I do?
A: Advanced image software programs, like newer versions of Adobe Photoshop, will be able to read and view the first three bands of the RapidEye products. Adjusting the levels and changing the channel combination using the channel mixer might be necessary to achieve a natural look for the imagery. Furthermore, try adjusting the contrast of the imagery for proper viewing.

Purchasing Products

Q: Do you grant research/scientific use discounts?
A: RapidEye does not offer a standard research discount. RapidEye is involved in a DLR RESA program that offers scientific use imagery grants on a case by case basis for researchers associated with German institutions. For more information see: http://www.dlr.de/caf/desktopdefault.aspx/tabid-2657/3990_read-10570/

For researchers not associated with a German institution, please contact RapidEye directly.


Q: Can you provide me with both 1B and 3A data over my AOI?
A: Yes, we can provide you with both 1B and 3A data for the same AOI, according to the price list. Please note that each product is priced separately.


Q: How do I buy data if there is no distributor for my area?
A: You can purchase data directly from RapidEye if your region does not have a designated distributor. You can email your request and additional questions to: sales@rapideye.net


Q: What license types does RapidEye offer?
RapidEye offers multiple different license types. For more details of licenses, please contact your local distributor.


Q: Where can I find a recent price list?
The most recent price list is available for download in PDF format here

Distributor Information

Q: How do I become a distributor?
A: Contact us at: info@rapideye.net for further information.


Q: How do I find out who the distributor is in my area?
A: Navigate here to find out who the distributor is for your region. If a distributor for your region does not exist, please contact RapidEye directly at: sales@rapideye.net