Imagery Community
In the last couple of weeks, the Imagery Blog discussed combining all your imagery bands into one raster. As mentioned previously, when you receive most satellite or aerial scenes they tend to distributed to you in several files – where each band is a separate file.
This week’s blog will discuss how the mosaic dataset can help you put your bands together. A mosaic dataset can put these scenes together into one logical geodatabase entity. Furthermore, it can mosaic all the scenes together as well.
Last week’s Imagery Blog was about combining all your imagery bands into one raster. Putting all your bands into one raster means it is easier to manage and use. This week’s blog will discuss the ways to composite your bands together.
There are a two main ways to achieve the composite bands task: Continue reading »
- Composite Bands button on the Image Analysis window
- Composite Bands Geoprocessing tool
Often times when you order or download your imagery data, each scene may be delivered to you in many files. Each file is a band within your scene. In order to view your scene with all the available bands, you will need to put the bands into a single dataset.
This is a question that many people tend to ask us all the time.
Here is another great re-post from the Support Blog Site. Click here for a link to the blog that lists many places you can go to get free raster data online. Also make sure that you read the comments section, many of our users posted up more links for free data.
Thanks to Jeff S.
Additionally, we have more list of DEM data is publicly available. Click here for a link to the PDF with elevation sources.
Thanks to Aileen Buckely.
By Aileen Buckley, Mapping Center Lead, and Simon Woo, Raster Product Engineer

With the update to the ArcGIS blogs as a result of creating a single blog that reflects ArcGIS as a system, you can now find more easily useful map-related information in posts from some of the other teams.
In this blog entry, we point out a number of posts that have been published on the Imagery blog that may be of interest to the Mapping Community. And conversely I note a number of Mapping blog posts that may be useful to the Imagery community. These blog posts will now appear if you search in either the Imagery or the Mapping category.
Last time we blogged about the mosaic dataset and pixel depth, we said it was best practice to not mix pixel depths within your mosaic dataset, but that is not always possible.
What do I do if my mosaic dataset pixel depth is not the same as all mosaic dataset items?
If you have a mosaic dataset that has mosaic dataset items with various pixel depths, you will want to use the Stretch raster function. The Stretch function is used to virtually change the pixel range of your mosaic dataset item.

Before we jump into this week’s blog, I wanted to mention that our Support Staff have their own Support Services Blog series. Their blogs cover a wide array of topics that many of you may have called them about. This includes some raster and imagery issues. If you haven’t seen their blogs before, it is another great resource to find information that may help you out.
Today’s Imagery Blog is a re-post to a great Support Blog that was written by Jeff S.: Is your raster so bright you have to wear shades?
Continue reading »
Come meet the Raster team at the 2012 Esri Developer Summit
This year’s Esri Developer Summit will take place from March 26th to March 29th at the Palm Springs Convention Center.
More information about the 2011 Developer Summitt
View the Agenda
Come by and meet the members of the Raster Team, whether you have a question, or just want to meet some of the team. There are several way to meet us: you can come by the Showcase Area, you can attend our Technical Workshops or Demo Theaters, or you can join us at the Meet the Team event.
Continue reading »
A mosaic dataset has a pixel depth property. This can be found in the layer properties of your mosaic dataset. Each item in your mosaic dataset also has its own pixel depth – and they can be different than the pixel depth of the mosaic dataset. Continue reading »

