The number of Earth Observation applications being developed is increasing considerably thanks to the ease of access to big data that is even freely available, as is the case with Sentinels.
Currently, the tools available on the market for viewing, editing, and processing Earth observation images are almost always desktop applications. But there are applications such as WASDI that, with high cloud computing, it is possible to perform image processing directly in the cloud, thus minimizing data transfer.
With WASDI, users can register to access the platform, create their workspaces, search and import Earth Observation images from different catalogs, manipulate the images, create and execute workflows, publish images on maps, and search for new potential acquisitions in the future. In addition, more advanced users can also develop their processors and deploy their algorithms in the cloud.
For this project with World Bank, WASDI has used ONDA DIAS from Copernicus. However, WASDI can deploy its applications on other DIAS because it is multi-cloud. With WASDI, users do not have to deal with a virtual machine on a server but can focus on data manipulation and processing. Users can develop processors in-house and deploy them in the cloud for more efficient execution.
If you want to know more about this use case with the World Bank, here is the link to the original publication.
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