The Cloud-Native Geospatial Foundation encourages adoption of highly efficient and accessible approaches to working with geospatial data over the Internet.


What is cloud-native geospatial data?

Cloud-Native data formats are structured to be efficiently retrieved from cloud object storage services which are designed to serve large volumes of data using generic RESTful / HTTP data transfer protocols.

Please visit the Cloud-Optimized Geospatial Formats Guide to learn more.

What are the benefits of cloud-native geospatial data?

  1. It’s faster for users. Cloud-native formats allow people to interact with massive amounts of data by allowing them to stream only the data that they need for their analysis. By relieving the burden of needing to download and store copies of data before starting a project, cloud-native data saves users time and money, lowering the cost of research and and accelerating innovation.
  2. It’s easier to maintain for data providers. Cloud-native formats take advantage of the performance, scalability, and durability of generic cloud object storage services. This allows data providers to make data available without needing to run and maintain their own servers, databases, or proprietary APIs.
  3. It’s easy to build tools on top of it. Because cloud-native formats allow efficient access to data over HTTP, they enable the creation of new web-based tools that can interact with large volumes of remotely stored data. For example, the availability of data in Cloud-Optimized GeoTIFFs has led to the creation of a wide array of new open source tools and software libraries. This increased diversity of open source and browser-based tools that can work with data is necessary to increase the size and diversity of the Earth science community.
  4. It scales. For users who want to perform large-scale analysis, cloud-native data allows researchers to deploy scalable and parallelizable computing resources that are colocated with the data. This can lead to dramatic reductions in time required to perform analysis. For example, USGS processed Landsat Collection 2 in the cloud 18 times faster than when they processed Landsat Collection 1, which did not use a cloud-native approach.

What are the benefits of cloud object storage?

Competition within the public cloud sector has reliably led to reduction in object storage costs, continual improvement in performance, and a commodification of services. These trends combine to make public cloud object storage the best available technology to expand access to planetary-scale volumes of data for the foreseeable future.

How do you encourage adoption of cloud-native geospatial data?

We carry out a variety of activities, including:

How do you measure success?

There are a number of ways to measure adoption of cloud-native geospatial data, including:

We will work with members of our community to identify success metrics that we can all contribute to.

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