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"server" in Russian
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ArcGIS Image Server is part of ArcGIS Enterprise , and provides a distributed computing and storage system that powers the analytical processing and serving of large collections of imagery, elevation data, rasters, and other remotely sensed data. ArcGIS Image Server allows you to assemble, process, analyze, and manage large collections of overlapping, multiresolution imagery and raster data from different sensors, sources, and time periods. You can also publish dynamic image services that transform source imagery and other raster data into multiple image products on demand—without needing to preprocess the data or store intermediate results—saving time and computer resources. In addition, ArcGIS Image Server uses parallel processing across multiple machines and instances, and distributed storage to speed up large raster analysis tasks. ArcGIS Image Server provides four key capabilities for working with large volumes of imagery and rasters:. Dynamic image services enable web-accessible imagery layers, which have processing applied on the fly as the data is accessed via desktop, web, and mobile applications. Raster analytics is used to quickly process and persist large collections of imagery and raster data to create information products. Ortho mapping enables server-side processing of satellite, aerial, or drone imagery into digital terrain models and orthomosaics, which are the basis for map production and further analysis. Imagery hosting enables users in your organization to upload imagery into ArcGIS Enterprise and have it served as dynamic imagery layers that can be accessed for a wide range of applications and used for raster analytics. ArcGIS Image Server enables you to exploit large image and raster collections effectively and efficiently.
Within this interconnected system, it is essential for data publishers to ensure that the data they share has a persistent, stable point of access. This requirement is challenging for many institutions, especially those that are new to GBIF and may not have the facilities to host and maintain data on servers that always remain online. One way to start addressing the challenge is to distinguish between data publishing and data hosting.