Geosys Expands Virtual Constellation with CBERS-4

We are pleased to announce the addition of CBERS-4 to the Geosys 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 Geosys virtual constellation is unique because it represents a joint effort with UrtheCast through the use of its UrthePipeline technology. The information captured by CBERS-4 is transformed into Analytics Ready Data through UrtheCast’s UrthePipeline service offering, then its 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 Geosys APIs or Croptical® tool.

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

Below are examples of the improvements made using the UrtheCast’s UrthePipeline 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 UrthePipeline automatically detects and corrects 100+ meters of geolocation error when it occurs in CBERS-4 imagery and improves it to sub-pixel accuracy.

Figure 1. Figure shows CBERS-4 overlaid on Sentinel-2 with the road highlighted to help visualized geometric shift (top) and without highlighting (bottom).

Radiometric Improvement

After automated calibration through UrtheCast’s UrthePipeline 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.

Figure 2. Figure shows NIR, Red and Green imagery of CBERS-4 before calibration (left), CBERS-4 after calibration (center), and Sentinel-2 (right).

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

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