Managing Raster Data Using ArcGIS Flashcards
What is a geodatabase model used to catalog, process, visualize, query, and share small to large collections of raster data.
A mosaic dataset
Any mosaic dataset that you add to ArcGIS Pro is added as a mosaic layer, and it appears in the Contents pane as a special group layer. This group layer must have at least what three layers?
The boundary, the footprint, and the image layers
A mosaic dataset reads all the metadata from the rasters and imagery. It enables what capabilities:
1) Defining extra metadata
2) Defining image-processing functions to be applied to the imagery when the data is accessed
3) On-the-fly processing that applies all required processing to the imagery as it is accessed, removing the requirement to pre-process imagery
4) Dynamic mosaicking that allows overlapping imagery to be merged and fused
Mosaic datasets can be accessed and viewed with any license level, but what levels are required to create them?
Standard or Advanced
What is the workflow to create and add rasters to a mosaic dataset?
1) In a geodatabase, create an empty mosaic dataset and its schema.
2) Add raster datasets to the mosaic dataset. Datasets can come from many sources, including files, folders, tables, or web services.
3) Modify the mosaic dataset (make updates to the boundary and footprints, add more raster data, and so on).
4) Define and build overviews for the mosaic dataset.
Large mosaic datasets can present performance challenges. With raster data, you can optimize the data display and performance using what two mechanisms?
Pyramids and overviews.
Neither method is mandatory, but both help speed the display of a raster dataset.
What is a reduced-resolution layer that enhances performance by making copies of the original data at decreasing resolution? They are especially helpful for large datasets.
Pyramids
What is a reduced-resolution raster dataset created to increase display speed and to reduce CPU usage?
An overview
What are highly recommended because areas where they are not generated may show a wireframe instead of any imagery. This failure occurs when the display can only process a limited number of rasters at one time. (You can change this setting.) You can choose not to create them, or you can choose to generate them for only highly visited parts of the mosaic dataset.
Overviews
Created for: Raster datasets
Format: Writes .ovr files—with a few exceptions: They stored externally are read as *.ovr or *.rrd or internally (such as MrSID).
Storage: Stored in a single file next to the source raster dataset and using the same name.
Extent: Each level covers the entire raster dataset and can specify the number of levels to generate.
Pyramids
Created for: Mosaic datasets
Format: Written as .tif files.
Storage: By default, stored in a folder next to the geodatabase with a *.overviews extension. Storage location is customizable.
Extent: Each one can cover part of or all of a mosaic dataset. Each level may consist of one or more images.
Overviews
Generally, (overviews or pyramids) perform faster than (overviews or pyramids) for each raster within the mosaic dataset. Using (overviews or pyramids) results in greater performance because they are often larger in extent than the source files, so fewer files must be opened.
1) Overviews
2) Pyramids
3) Overviews
Build what? When using these raster types or imagery:
1) Raster datasets larger than 3,000 columns
2) Overlapping rasters where mosaic methods will control the order
3) Source rasters that will be processed on the fly at all scales
4) Images other than static preprocessed rasters
Pyramids
Build what? When using these raster types or imagery:
1) Reprocessed tiled imagery, such as orthophoto quads
2) Edge-joined (non-overlapping) imagery that will not be affected by changing mosaic methods
3) Imagery that will be processed on the fly, and parameters and mosaicking methods that will not be changed
Overviews
When building complex mosaic datasets, you can build __________ on the source rasters and then build ________ only where they are needed. This strategy has several advantages:
1) Takes advantage of mosaic methods and on-the-fly processing
2) Reduces the number of overviews
3) Helps when viewing a mosaic dataset without overviews
1) pyramids
2) overviews