EarthDaily Agro strengthens offering in Brazil with addition of CBERS-4 to virtual constellation by utilizing EarthPipeline technology

We are pleased to announce the addition of CBERS-4 to the EarthDaily Agro virtual constellation for our customers in Brazil. CBERS-4 is a broad area coverage mission well suited for agriculture due to its Multispectral Camera (MUXCam) which was jointly developed by the governments of China and Brazil.

This latest addition to the EarthDaily Agro virtual constellation is unique because it represents a joint effort with EarthDaily Analytics using its EarthPipeline technology. The information captured by CBERS-4 is transformed into Analytics Ready Data through EarthDaily Analytics’s EarthPipeline service offering, and then it is integrated into our Image Processing Chain (explained in “Remote Sensing Brings Insights From the Filed, Up” on Our Technology page). From here, we are able to provide instantaneous access to a variety of maps and indices delivered through our EarthDaily Agro APIs or Croptical tool.

We have talked previously about our standards for the EarthDaily Agro virtual constellation – it really comes down to quality. Therefore, adding a new satellite to our offering requires stringent testing and verification. After several months of collaborative work between the EarthDaily Agro and EarthDaily Analytics teams, we are proud to make this data available to our customers.

Below are examples of the improvements made using the EarthDaily Analytics’s EarthPipeline technology:

Geolocation Improvement

Sometimes pixels are not properly aligned – this is referred to as a geometric shift. To best support our customers in every hector of the field, it’s critical to ensure accuracy. The EarthPipeline automatically detects and corrects 100+ meters of geolocation error when it occurs in CBERS-4 imagery and improves it to sub-pixel accuracy.

Radiometric Improvement

After automated calibration through EarthDaily Analytics’s EarthPipeline service offering, CBERS4 data is well harmonized to Sentinel-2 imagery and ready for analytics. You can learn more about the importance of calibration here.

A special thanks to the Brazilian government for making the data available for use through their open data policy.