• ArcGIS Imagery
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Imagery is at the heart of GIS and geography. It’s used as a source for creating, updating and performing raster analysis for data sets. Did you know that the ArcGIS platform provides a number of rich analytical tools for processing raw imagery into useful information products?

ArcGIS Image Server

ArcGIS Image Server provides serving, processing, analysis, and extracting value from massive collections of imagery, rasters, and remotely sensed data. The two capabilities of ArcGIS Image Server include;

Dynamic image services

With ArcGIS Image Server, large collections of imagery from satellites, aerial sensors, and drone sensors as well as raster datasets such as orthophotos, elevation models, lidar, scientific data, and categorical rasters can be served as dynamic image services with on-the-fly processing and dynamic mosaicking.

Raster analysis

Raster analysis is for extracting value from imagery by enabling massive distributed processing and analysis of imagery and rasters. Client applications can author raster processing models that define the analysis to be performed based on an extensive list of functions with inputs from a wide range of raster and vector sources. The raster processing models are submitted to the image server to run in parallel on multiple machines and to be completed in a short time. The results of image processing or raster analysis are persisted as image and feature layers registered in the portal.

Image Sharing Service

Raster and image data can be shared as an image service using ArcGIS Server. An image service provides access to raster data through a web service. You can also share the data as part of a document, such as a map document, or as part of other services, such as a geodata service.

Living Atlas

Access ready-to-use imagery from the world’s largest, most comprehensive collection.

ArcGIS includes detailed imagery of the world, which reveals both the present state of the planet and change over time. These image layers enable you to view recent, high-resolution imagery for most of the world; lower-resolution imagery of the planet updated daily; and near real-time imagery for parts of the world affected by major events, such as natural disasters. This includes intelligent layers that enable you to restyle the imagery to highlight specific characteristics, such as healthy vegetation.


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