![]() ![]() In this example, the raster in the northwest corner is used completely to create the mosaicked image. North-West-Enables raster ordering by ZOrder, then PixelSize, and then by the shortest distance between the center of a raster to the northwest position. In this example, the chosen attribute field contains letters of the alphabet, and it's sorted in an ascending order. Using the Viewpoint window tool, you will get those rasters displayed under the blue arrows, which represent the viewpoint selection.īy Attribute-Enables raster ordering based on ZOrder, then PixelSize, and then by a defined metadata attribute and its difference from a base value. This location comprises six overlapping rasters. In this example, imagine zooming in to the area located at the tip of the red arrowhead. This is similar to the Closest to Center method but uses the nadir point to a raster, which may be different than the center, especially for oblique imagery.Ĭlosest to Viewpoint-Orders rasters based on the ZOrder, then PixelSize, and then by a user-defined location and nadir location for the rasters using the Viewpoint tool. As you pan and zoom around the mosaicked image, it will change as other rasters become closest to the center within the display extents.Ĭlosest to Nadir-Enables rasters to be sorted by the ZOrder, then PixelSize, and then by the distance between the nadir position and view center. You can see that the centermost raster (pink) is completely displayed and the remainder of the mosaicked image is composed of the remaining rasters. ![]() In this example, 12 rasters are displayed using the Closest to Center mosaic method. The mosaic methods include the following:Ĭlosest to Center-Enables rasters to be sorted based the ZOrder, then PixelSize, and then by a default order where rasters that have their centers closest to the view center are placed on top. Note that the diagram of all of the individual rasters was scaled down 50 percent only to preserve space here. Refer back to this diagram when reviewing the explanations for the individual methods below. To help convey the effect of the different mosaic methods, consider an example mosaic data composed of 12 individual rasters located in the manner shown in the following diagram: Arrangement of component rasters of an example mosaic (50 percent scaled view) The user can modify the mosaic method, and the person setting up the mosaic method can control the default and disable methods they don't want used with the mosaic dataset. However, any number of mosaic methods can be used with a mosaic dataset. This will be used when a user accesses the mosaic dataset. This way, you only impact your display and do not permanently impact others when viewing or accessing the mosaic dataset. However, if you're viewing the mosaic dataset as a data source and not modifying it for the benefit of others, you can change the mosaic method from the Image layer. This permanently alters the mosaic dataset. If you're editing the mosaic dataset and you need to set the default mosaic method (or limit the options), you will modify the mosaic dataset properties. When working with the mosaic dataset, there are two places to modify the mosaic method. Additionally, the mosaic operator allows you to define how to resolve the overlapping cells, such as choosing a blending operation. ![]() The mosaic method defines how the mosaicked image is created from these input rasters.įor example, when using the By Attribute method, the values in an attribute field are used to sort the images, and when using Closest to Center, the image closest to the center of the display is positioned as the top image in the mosaic. The mosaicked image displayed from a mosaic dataset can be created from a number of input rasters that are often overlapping. ![]()
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