![]() ![]() ![]() When you add a mosaic dataset to the view, it will be added as a custom group layer. These options are dependent on the type of data you have and the kinds of analysis you want to perform. The rest of the fields are optional and pertain to creating overviews, pyramids, and calculating statistics.Under the Advanced Options section, use the checkbox to include the subfolders. If you select the folder, every raster of the specified raster type in that folder will be added to the mosaic dataset. For the input data, you can select a folder, an individual raster, or a set of rasters.After you populate the mosaic datasets from the Catalog pane, this field will automatically be filled. Use the same raster type as when you created the empty mosaic dataset.From the Catalog pane, right-click on the mosaic dataset you just created and select Add Rasters.Use the Add Rasters to Mosaic Dataset tool to populate an empty mosaic dataset.Lastly, you added a dynamic image layer hosted online in ArcGIS Living Atlas to your map and explored how overlapping imagery is handled dynamically, how you can use the fields in the mosaic dataset to query items, and how the mosaic dataset is time aware. Finally, you enhanced the mosaic dataset by applying and incorporating analysis functionality. You explored the challenges of working with multiple images individually, and created a mosaic dataset to allow you to work with the collection of seamless images, making them accessible and turning them into useful information products for both visualization and analysis. You received a collection of orthophotos that you needed to manage and share effectively with stakeholders. Now your map displays your area of interest with detailed high-resolution local imagery on top of less detailed dynamic imagery hosted online. Manage the image collectionįirst, you'll create and populate a mosaic dataset to efficiently manage and display your orthophoto image collection. ![]() Only the required imagery is read, processed, and returned. When a request for imagery is made, the mosaic dataset is used to determine what images are required and what processing is to be applied. The metadata about the data sources, as well as information on how to process the imagery into different products, is stored in the mosaic dataset. With mosaic datasets, the large volume of pixel data (contained in the imagery and rasters) are not loaded into the database and are instead referenced. A single mosaic dataset can reference millions of images and make them appear as a single virtual dataset or enable quick access to any individual image or collection of images. Most organizations store their imagery as files on disk, enterprise, or cloud storage. The imagery and raster data do not need to reside in the database. Mosaic datasets are stored in either a file geodatabase or an enterprise geodatabase. Working with the individual layers is challenging when project requirements call for the application of any kind of enhancement or analysis because each layer must be handled separately.Ī mosaic dataset is a well-defined geodatabase structure optimized for working with large collections of imagery and rasters. Even though adjacent images may appear as a single image when displayed in a map, they are separate layers. This module covers some of the challenges of working with multiple images individually. You will explore the challenges of working with multiple images individually and create a mosaic dataset that will allow you to work with the collection of seamless images, making them accessible and turning them into useful information products for both visualization and analysis. ![]() Remote sensing and GIS analyst for the Upper Austria government, In addition, ArcGIS Pro includes all the technology and associated tools needed to build and maintain mosaic datasets. For this, ArcGIS Pro uses mosaic datasets, a type of geodatabase structure, to manage imagery. Managing imagery and raster data efficiently and correctly is key to ensuring accessibility. ArcGIS Pro provides extensive enterprise image management capabilities and is used by organizations in a wide range of industries to manage imagery holdings, making them accessible and turning them into useful information products for both visualization and analysis. Big collections of raster data are being collected and assimilated at a rapid pace, and these datasets have significant value when the information inside them is shared and disseminated. First, you'll focus on the management and storage of large volumes of imagery and remote sensing data in ArcGIS Pro. ![]()
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