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Distributed processing with raster analytics

When working with large raster datasets or performing complex processing workflows, traditional processing techniques may be too time-consuming or computationally intensive to be practical.

You can use raster analytics, a capability of ArcGIS Image Server as a part of ArcGIS Enterprise, to speed up the processing. Raster analytics is a flexible raster processing, storage, and sharing system that uses distributed computing and storage technology to efficiently process large amounts of data. The capabilities of raster analytics can also be extended by using cloud computing and storage.

Using raster analytics, image processing and analysis jobs that used to take days or weeks can be done in minutes or hours, and jobs that were too resource-intensive are feasible. ArcGIS provides a large set of raster functions that can be applied directly, customized, or chained together to process imagery and raster data. When you use raster analytics to perform this processing, distributed processing and storage are used to speed up large or complex tasks. For example, raster analytics can be used to speed up deep learning workflows for object detection or classification, or to quickly produce large, detailed land-cover maps.

To use raster analytics, you first need to configure ArcGIS Image Server (as part of ArcGIS Enterprise) for raster analytics. You can then invoke raster analytics to process data using a variety of clients such as ArcGIS Pro, Map Viewer in ArcGIS Enterprise, ArcGIS REST API, ArcGIS API for Python and ArcGIS API for JavaScript, or ArcGIS Notebooks. Source data and processed results are then stored, published, and shared across your enterprise.

Explore the following resources to learn more about using raster analytics for distributed image processing. (Not sure where to start? Look for the star by Esri's most helpful resources.)

To use distributed processing with raster analytics, you need ArcGIS Enterprise with ArcGIS Image Server configured for raster analysis. You may also want to use ArcGIS Pro as a client to invoke raster analytics.

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