Improve co-registration tool in APIs for higher average positional accuracy

Encountering limitations with the current co-registration tool in the Orders & Subscriptions API. The current method, relying on a single user-defined anchor item, might decrease the overall positional accuracy for image stacks containing multiple images instead of increasing it.

We propose implementing a new functionality that utilises an average temporal image as the anchor for co-registration. This approach would improve the average positional accuracy of the entire image stack, leading to more precise data for AgTech applications.

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Please also consider integrating this functionality into the Planet Insights Platform as a tool for image collections. If implemented, users could apply this post-data ordering, consuming PUs each run. It may be beneficial to explore if a co-registration approach similar to ARPS/Fusion data creation could be applied here, instead. Another benefit of offering such a tool in the platform would be that users could apply it to other data sources than PlanetScope (e.g. their own data).

Described in detail here: https://medium.com/sentinel-hub/how-to-co-register-temporal-stacks-of-satellite-images-5167713b3e0b

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Thank you for submitting an idea, it is under review and open for discussion and voting. This is the investigation stage when we gather more information.