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ABOUT THE PROGRAM
Since 2009, the DLR has been supporting scientific institutions in Germany by providing RapidEye satellite imagery—and later also PlanetScope and SkySat data—free of charge for research purposes. The RESA (RapidEye Science Archive) was established for this purpose and has recently been transferred to CODE-DE-Lab. It comprises the following collections:
- the RapidEye dataset covering Germany, as well as specific test areas abroad
- SkySat imagery for specific test areas
- Archived and current PlanetScope and PlanetScope Mosaics data products with 3m resolution
Access to RESA is available for research purposes to all researchers, students and teaching staff at colleges, universities, research institutions and similar organizations based in Germany.
Advantages of Planet Data
Planet's extensive satellite imagery archive offers global coverage and consistency, making it ideal for advanced analysis. With near-daily images for every location on Earth since 2016, the researchers can access a rich data set available for machine learning, computer vision, and predictive modeling.
Near-daily, Global Coverage (over 350 million sq km)
High Spatial Resolution with Sentinel-2 Compatibility
Consistent Data Quality and Extensive Archive
Application Process
How can you apply for RESA access?
Applications for access to RESA must be submitted exclusively via CODE-DE Lab. Go to the CODE-DE-Lab website and follow the instructions for RESA access.
A summary of the process:
- Register as a user on CODE-DE-Lab
- In your profile section, you create an organisation or join one (further information can be found in the instructions linked above)
- Submit application for data access.
- Your application will be then evaluated by the evaluation committee and you will be notified regarding the decision.
- Once your application is approved, the RESA data will be available to you in the CODE-DE-Lab Explorer, or via the CODE-DE-Lab interfaces (OData + STAC API, S3).
What can I do if I need data that isn't available in RESA?
Please always check whether the data you require is already available in the existing RESA.
If this is not the case, you can apply to DLR to have new data included in the RESA. There are two ways to do this:
Option 1: DLR PlanetScope Calls
To expand RESA, the space agency at DLR collects and coordinates user requests via so-called PlanetScope Calls. To this end, a needs assessment (“Call”) is conducted annually in the autumn via the Earth Observation Newsletter. Following the relevant evaluation, selected PlanetScope data is added to RESA on a quarterly basis, depending on demand. Access is then granted via CODE-DE-Lab, as described above.
The process comprises 4 steps:
- Complete the application form and submit it to DLR for review.
- If your application has been approved, you submit the specific parameters (area and time of interest, filter settings) for your region of interest to DLR.
- Once all regions have been submitted and collated, DLR places an order with Planet and the data is stored in RESA (this typically happens quarterly).
- Data access and download is then available via CODE-DE-Lab using the existing RESA.
Further information on the process is available here.
Option 2: PlanetScope User Requests
Urgent requests with specific location or timing constraints can be handled as User Requests, separate from standard PlanetScope calls
User Requests are submitted via CODE-DE-Lab.
The process comprises 5 steps:
- Log in to CODE-DE-Lab via the Profile Manager.
- Check profile settings: an organization must be listed in your profile section. Further information can be found in the guide for RESA access linked above .
- Create a PlanetScope User Request.
- Your request will be evaluated and you will be notified of the result.
- The login details for the order portal will be shared with you once the request is approved. You will then carry out the remaining steps yourself until you receive the data.
Further information can be found here, as well as a step-by-step guide to take you through the data ordering process here.
Important: the data from User Requests is not stored in RESA and is only available to the users who requested it.
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