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Manage high-resolution satellite imagery

High-resolution satellite imagery is typically better than 5-meter resolution, gathered by satellites such as Maxar WorldView Legion, Airbus Pléiades Neo, Planet SkySat, and others. It is usually multispectral, often including red, green, blue, and infrared bands (RGB-IR), and sometimes a panchromatic band. Vendors deliver high-resolution imagery as a variety of products with different processing levels. These products may have limited processing or have some combination of radiometric correction, georeferencing, or orthorectification applied. They may also include various forms of metadata.

Organizations often manage large collections of high-resolution satellite imagery and accompanying metadata, often including overlapping images gathered on multiple dates. This data generally needs additional processing before it is helpful for end users. Users may also want to visualize the data in different ways—looking at only the newest imagery, for example, or filtering out low-quality images. Additionally, since the imagery is multispectral, users may want to view different band combinations, indexes, or pansharpened imagery.

ArcGIS Pro includes the tools necessary for any preprocessing your imagery requires, including geolocation, radiometric correction, georeferencing, and orthorectification. Managing imagery using a mosaic dataset configured for a specific type of high-resolution satellite imagery makes it straightforward to visualize, query, and analyze data. The mosaic dataset is the recommended data model for managing, accessing, processing, and visualizing imagery in ArcGIS. With a mosaic dataset, you can organize metadata, define mosaicking rules, and include raster function templates for different visualizations of spectral data (such as NDVI or color infrared). Beyond direct use in ArcGIS Pro, they are also optimized to share imagery with end users and applications. High-resolution satellite imagery managed with mosaic datasets can be shared in three ways:

  • As a three-band, 8-bit raster tile cache (such as Esri basemaps). The tile cache can be created in ArcGIS Pro and uploaded to ArcGIS Online for hosting and sharing.
    Note:
    Esri World Imagery basemap features satellite imagery for the world and high-resolution aerial imagery for many areas. For some applications, this may be a satisfactory alternative to managing your own collection of high-resolution imagery.
  • As tiled imagery from ArcGIS Online or ArcGIS Image Dedicated. The scenes are processed and persisted in cloud raster format (CRF) and can then be streamed with all bands and bit depth to client applications.
  • As dynamic image services that provide access to the full imagery content and enable you to take advantage of raster functions to include color infrared, natural color, and NDVI views, for example, or control the display order of the imagery. Dynamic image services can also include on-the-fly orthorectification of the imagery. The imagery can be shared as an image service using ArcGIS Image Server or ArcGIS Image Dedicated
Note:
To create and edit mosaic datasets, you need ArcGIS Pro (Standard or Advanced). If you plan to perform bundle block adjustment or create digital terrain models, you'll need the ortho mapping capability of ArcGIS Pro Advanced. To serve mosaic datasets as dynamic image services, you need ArcGIS Image Server,ArcGIS Online, or ArcGIS Image Dedicated. To host raster tile caches, you can use ArcGIS Online, ArcGIS Server, or ArcGIS Image Dedicated.

Imagery Workflows resources

Review the community-supported tools and best practices for working with and automating imagery and remote sensing workflows:

ArcGIS help

Review the following links on reference materials for ArcGIS products:

Training and tutorials

Watch Managing Raster Data Using ArcGIS to learn how to use mosaic datasets to enable efficient data storage and fast visual performance. (2 hours)

Developer resources

Review the following resources and support for automating and customizing workflows:

  • Visit the MDCS GitHub repository to download a Python script to help automate the creation and configuration of mosaic datasets.
  • If you plan to manage your satellite imagery in the cloud, or want to optimize the data format for faster access, visit the OptimizeRasters GitHub repository for scripts and tools to optimize data transfer and management.

Esri Community

See what the Imagery and Remote Sensing community is saying about managing high-resolution satellite imagery.

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