00:01My name is Simon Woo. I'm here with my colleague Robert Berger, who will be showing you all the demos.

00:06And today we will be presenting Using Imagery in Raster Data in ArcGIS.

00:13So what exactly do we mean by using imagery in raster data?

00:16Here's our, the outline of our presentation.

00:20If you see something that's not on here that you were expecting, we understand your time is very valuable...

00:26...and if there's another session you thought that you might want to attend, feel free to get up...

00:31...and attend something that would be more along the lines of what you were looking for.

00:37So the presentation will start out with a simple, different varieties and types of raster data that you might add to ArcGIS...

00:46...and some of the raster properties that are fairly important for knowing how to use the rasters and what might be wrong with your raster.

00:55Then we'll go into displaying and rendering your imagery, followed by displaying a mosaic dataset.

01:01A mosaic dataset is one of our new features in ArcGIS 10. It's a new raster data model available.

01:10And then we'll talk about processing and new imagery.

01:15And finally we'll go over a summary of what's new in ArcGIS.

01:19Throughout the presentation, we'll go over whatever may be new in ArcGIS whenever that particular topic comes up...

01:26...but we'll summarize it again later at the end and include other things that may not have made it into any of our other slides.

01:33And we'll end off with any questions and comments you may have.

01:36We do try and ask that you hold your questions and comments until the end.

01:42We have a lot of content to cover, and there's a good chance that...

01:45...one of Robert's demos or one of my later slides may answer one of your questions.

01:49If not, we'll definitely set aside some time for your questions, comments.

01:54We're also downstairs in the Geodatabase Island area, and we're right beside the Imagery Island area, as well.

02:04So just to make sure, did everyone get a feedback sheet. If...and if you did, make sure you have the right title on it...

02:09...title being Using Imagery in Raster Data.

02:12If not, everyone go ask that student assistant for a new sheet.

02:24Okay. So let's start out and just look at a bunch of different types of rasters that you might be adding to ArcGIS.

02:33A lot of people like using elevations and hillshades, aerial imagery, satellite imagery, scan maps, and pictures and graphics...

02:47...and a lot more as well.

02:51And then when you add these varieties of imagery into ArcGIS, traditionally people use files on disc or a geodatabase.

03:01With files on disc, we're talking about everything from a GRID, a TIFF, an IMG, BMPs, so on and so forth...

03:08...basically, any of the 65-plus file formats that ArcGIS can read.

03:15And then there's the geodatabase, there's... in which you could add in raster datasets, mosaic datasets, and raster catalogs.

03:25So what is this mosaic dataset thing that we've added to ArcGIS 10?

03:30Well, we don't want to go into too much detail about that since it's mainly a managing issue.

03:34We'll just simply say that it's, it's a lot like the raster catalog in the way it's stored.

03:40It's a table. Each of the rows stores a raster dataset. Nothing new, nothing too new there.

03:48But we've added in a lot of new capabilities, which were lacking in the raster catalog...

03:55...and we've added in the ability to grab the metadata and load them into the attribute fields whenever they're available.

04:04So other than the fact that there's a...

04:07...catalog behind the scenes, we tried to make it more like a user experience of a raster dataset...

04:16...and other areas that you would add raster data from.

04:20Hopefully a lot of you are already using these. If not, try to look for these in the future.

04:25ArcGIS Online has most of these on the plenary. There's a lot of basemaps available...

04:30...out there that you can add in and start out with already having some content before you even start your project.

04:37If you have access to any ArcGIS servers, you can add in map services, image services...

04:44...WCS and WMS services, as well...

04:47...and these are all through the Add Data dialog, as well.

04:52So we'll go in and actually just go and show you using raster imagery.

05:00Oh, and...so...Wrong one? Sorry.

05:04And just a side note, all our demos here today...

05:08...when we're using the imagery aspect of it, we're only using an ArcView license level.

05:13Some of the editing that Robert does on feature classes does require ArcEditor...

05:19...but all the raster functionality in this particular presentation only uses an ArcView license or higher.

05:26Greetings, everyone. Can you hear me alright? No? All right.

05:32Is this better? No? All right. I'll try to speak down a little.

05:45All right. So as Simon said, I'll be giving you the demos today...

05:50...and for the demos, we find ourselves in Portland, Oregon.

05:54And I've just started working there, and I've already played around with some of the feature data that's available, as you can see...

06:02...but now I want to investigate the raster imagery that we have.

06:06So one of the first things that you've... I'm sure you've seen before at 10 now...

06:10...it becomes very easy if I just need a background picture to add data from online.

06:16For example, I can search for Bing or other online ArcGIS Online services.

06:20I simply click the Add button to add that imagery into ArcMap.

06:25And so I also have other data that I want to look at, and so for one thing...

06:31...I see somebody has downloaded some Landsat 5 data freely available online.

06:37And I can...and I see here that my imagery comes in seven different datasets, and I can simply...

06:45...drag and drop the dataset into ArcMap, and I can see that my data shows up as black and white...

06:51...which is not really what I would expect from Landsat data, but we'll get to that in a little bit.

06:57In addition, I also have some QuickBird data, four different scenes of QuickBird.

07:03And you can see there's a certain folder structure and...with it, where I can just add my data and then...

07:12...zoom to my layer, and here I can see that this dataset shows up in color.

07:21In addition, we have some tiled data. You can see I have a lot of different datasets here.

07:29And here, too, I can simply drag and drop it into ArcMap, have ArcMap take care of the transformation on the fly for me.

07:37I can zoom to the layer, and I can see this dataset too shows up in color.

07:43And so it's really kind of easy to use my imagery that way. I just drag and drop it in.

07:48Now we also have some net elevation data. I can drag and drop that into ArcMap, again, zoom to my layer...

07:57...and here I see that my elevation data shows up in grayscale, but even worse, it just shows up as gray.

08:04And a lot of questions that we get is, well, why is that?

08:06If I use the Identify tool, I can see that I actually have valid pixel values...

08:12...but my dataset doesn't show up; I can't really see any of the values.

08:17Simon, can you tell us a little bit of why that is?

08:20Sure, Robert.

08:29So as Robert showed you there, we have what we call the Raster Properties dialog...

08:34...and the dialog is a very good spot to obtain a lot of information about your raster dataset.

08:42We've ...divided this up into five sections.

08:45We have the data source, which basically just tells us what type of file it is and where it's located.

08:51We have the raster information, which tells us a lot of information about our actual pixels.

08:56There's a lot of valuable information in here, everything ranging from the number of open columns...

09:01...the number of bands, the cell size, and so on and so forth.

09:05Next we have the extent, which tells us the top, the bottom, the left, and the right...

09:10...minimum bounding extents of the raster dataset, followed by the spatial reference...

09:16...which gives us the coordinate system information, such as the projection, the date of the units, and so on.

09:23And lastly, we have the statistics.

09:27Let's go into detail about four of these properties here. We'll talk about No Data, color maps, pyramids and statistics.

09:35Let's start off with pyramids. Pyramids are used to speed up the display of your raster datasets.

09:43What we do is we create multiple resolution dataset layers from the original raster dataset...

09:50...and these are at varying resolutions.

09:54And when we zoom in to our raster dataset then, we first zoom in to the most appropriate pre-created layer...

10:02...and then we'll resample our data from there, so it's a lot like caching...

10:06...except caching is only set to specific scales, whereas we will then resample it back to the exact scale that we were requesting.

10:16So just as whenever we create anything, we have to add additional storage onto our disc space.

10:25But it's not that large, it's not that much extra information we have to add.

10:31Usually, it's less than 10 percent of your disc space.

10:35And we also have the ability to compress our data now at ArcGIS 10.

10:39This is a new feature we've added.

10:41And if you compress your pyramids with JPEG compression, your pyramids will be very, very small.

10:48Now I mention the word "resampling" a couple times.

10:51When we create pyramids and then you do any analysis back on your data, don't worry.

10:57We do not use your pyramids to do any analysis. We'll always go back to the raw pixel data values.

11:07Next let's talk about statistics.

11:10Statistics are used to better display your raster dataset...

11:15...and they can be used for things such as contrast stretching, classifying data, and color correction.

11:22I believe this is the problem that Robert was having.

11:26We have this image on the left side there, which shows up mainly dark and very difficult to see.

11:33Well, the image on your right there has statistics calculated and in addition is using a contrast stretch...

11:41...so we can better see the differentiation between the pixel values.

11:45And when we calculate statistics, what we're doing ...

11:48...is we calculate the minimum, the maximum, the mean and standard deviation for each band so that...

11:54... we can then use our different contrast stretches to properly stretch our data.

12:01No data is used to tag pixels or cells that have unknown information or no information available.

12:10A lot of times, people use the value of 0 and "no data" synonymously.

12:16They are not always the same.

12:19Zero is a valid pixel value, but "no data" simply means we don't know what's there.

12:26Now the confusion usually comes about because traditionally when we've stored our No Data value in a file system...

12:32...we had to use a pixel placeholder value to store a No Data.

12:37So for instance, grids tend to use negative 9999 and a lot of other formats tend to use 0.

12:45And this is when 0 and No Data became one and the same, even though they're not.

12:50Well, when we store data in ArcSDE or a file geodatabase, we store a No Data value as a bit mask.

12:57So hopefully we get rid of this notion that 0 is equal to no data, because they are not.

13:04Now, there's a lot of uses for No Data. One of the uses is that No Data does not play into your statistics calculation.

13:14So we see here, I highlighted in pink, those are all my values of no data.

13:20If I've tagged them properly as No Data and I calculate my statistics, it ignores all those values.

13:26If I had those background values tagged as 0, then it would highly skew my statistics results...

13:34...and my image would probably be a lot darker.

13:38Color maps are used to constantly open and display your raster dataset with the same colors every time you open them up...

13:45...in ArcGIS or any other program that can recognize color map files.

13:51Color maps store what a lot of people call a pseudo color table.

13:56And the way this works is, each unique value is associated with a red, green, and blue value.

14:03So in my example here, a value of 1 is equal to 255 red, 255 green, and 0 blue, which is also known as the color yellow.

14:15And this is done for each of my values.

14:18So that way when I open up my raster dataset next time, it'll show up with these colors.

14:24New at ArcGIS 10, you're now able to create a custom CLR file.

14:29A CLR file is an external color map file for some formats.

14:34And what with that, we can create our CLR file using the unique values renderer...

14:40...so this is existing UI but we've added additional functionality on there.

14:46And then we can persist our CLR file using the Add Color Map tool.

14:51Once again, we took an existing tool, but we've extended it.

14:57So let's go ahead and look at some raster dataset properties.

15:01Once again, just keep in mind that we are using... Did I do it the wrong way again?

15:06Once again, keep in mind, we are only using an ArcView license level.

15:10All right, so Simon told us a little bit about the dataset properties, so let's look at them.

15:16I can simply right-click on my data and to Properties.

15:18And here I can see a lot of information about my data, such as the number of bands, the size...

15:26...the pixel type and pixel depth, if I have permits and color maps, if it's compressed.

15:31I can see my spatial extent, my spatial reference.

15:34And I note here that I do not have any statistics calculated for it.

15:38So how do I do this?

15:39I can either click here to build statistics or right-click here and calculate statistics.

15:47Both will bring up the same geoprocessing dialog. I'll just accept the defaults.

15:52It calculates now at 10 the statistics in the background.

15:57And now I can start seeing my data the way that it's meant to be with this proper stretch.

16:04So Simon, how else can I display and render this data in ArcGIS 10?

16:13Thanks, Robert. So as Robert mentioned, the next section, we'll be talking about displaying raster data.

16:19And when we talk about displaying raster data, we usually talk about rendering and renderers.

16:26As well, in this section we'll talk about the Image Analyst window.

16:31The Image Analyst window is one of those new dockable tool...tool windows in ArcGIS 10 that we've added in...

16:41...and we'll go over that. It's a really cool window.

16:43Hopefully a lot of you will end up using it.

16:47So let's start off with the stretched renderer.

16:49The stretched renderer is often used for satellite imagery, elevation and aerial imagery, and it's used by default...

16:57...whenever you bring in a raster dataset that has a single band and more than 25 unique values.

17:06And the way this renderer works is it takes all your values, for instance, in my particular case...

17:13...I have pixel values from 0 to 255...

17:17...and it stretches it along your color ramp that you choose, and my color ramp is black to white.

17:23So therefore, a value of 0 will be displayed as white...sorry, as black.

17:28A value of 255 will be displayed as white...

17:32...and all the values in between will be stretched along the color ramp.

17:38Well, they can be stretched along the color ramp evenly, or we can use what we call contrast stretches...

17:45...in order to skew the histogram a little bit.

17:49And when we skew the histogram, for instance, on the left side of your screen, we see a raster dataset...

17:57...and it's simply just displayed with a regular no-stretch, no-contrast stretch.

18:04So it doesn't look too bad; you can see what's...you can see that you've got a main road down the middle and...

18:10...lot of green spaces and a lot of buildings.

18:13Well, if we apply a contrast stretch and we stretch out our values slightly differently based on some mathematical algorithms...

18:22...we get the image on your right, and you can see that it's a lot brighter.

18:25You can see a little bit more, in terms of definition, you can see that there's probably...

18:33...what looks like a football field in the bottom right there, and so on and so forth. So we see a lot more detail.

18:39So contrast stretches just help you display your raster dataset so you can see a lot more detail.

18:49Along with the stretch renderer, we've added in a couple new functionalities... at ArcGIS 10.

18:53We've added the percent clip stretch, so this is one of those contrast stretches I was referring to.

19:00And we've added in advanced labeling, as well.

19:03We'll start with percent clip.

19:05The way percent clip works is you specify a lower and an upper percentage of data to clip off.

19:13So let's say, for instance, I want to clip off the bottom 2 percent of my data and the top 5 percent of my data.

19:19So we basically get rid of our outliers on the edges of our histogram.

19:25And then we start our scale of 0 to 255, a little bit of a more narrow histogram.

19:34And therefore, like I said, we just get rid of all the values on the edges of our curve.

19:40That probably wouldn't have made too much of a difference, but now that we're stretching our data out in a smaller scale...

19:46...we now have a lot more detail that we can see.

19:51As well, we have advanced labeling.

19:53This was something that the cartographers were looking for for many releases now.

19:58So instead of simply having our stretch renderer with a top...a minimum value and a maximum value...

20:05...we've added the ability to add in different class breaks along the color rim.

20:12So therefore we can see that a value of yellow is very close to 2,317.

20:19So you have a little bit more idea of what the values of your various colors mean.

20:27Next, we'll talk about the RGB renderer, or the red, green, blue composite renderer.

20:32This is often used for satellite and aerial imagery, and this is the default renderer...

20:39...whenever you have a raster dataset with more than three bands.

20:43And the way this works is, each bands captures a part of the electromagnetic spectrum...

20:49...and then we display each of these bands with a red, a green, and a blue color.

20:54You put them all together and you end up with your color composite.

21:01We have the unique values renderer.

21:03This is often used for land-use maps and scanned maps.

21:07This is the default renderer whenever you have a raster dataset with a single band but fewer than 25 unique values.

21:16This is also a renderer you can use on any single-band raster dataset if you so choose to.

21:23The way the unique values renderer works is, by default...

21:28...it takes all of your values and then it displays it with a color from the color ramp.

21:34And by default, it's just a random color ramp.

21:37But you can go ahead and change all of these values if you wish.

21:42So this is sort of what the unique values renderer dialog looks like, and you can see at the bottom there...

21:49...we have a new button there, a new button drop-down called Color Map.

21:54And this is where we would import and export in a color ramp, or sorry, color map.

22:03Speaking of color maps, the color map renderer, as we've talked about earlier, uses a preset color, color ramp table...

22:13...to show your raster dataset with the prechosen colors each and every time you load it into ArcGIS.

22:19Color maps are often used for land-use and soils maps so that they can be displayed consistently.

22:26And lastly, we have the...the classified renderer.

22:29The classified renderer is used to group ranges of pixel values into a single color...

22:36...and into...many classes.

22:40For instance, we have here values from 0 to 500 being displayed with a light yellow...

22:46...501 to 900 displayed with a light orange, and so on and so forth.

22:51And this, there's various uses for this.

22:53A lot of people like to group their elevation layers together or their elevations together...

22:58...so instead of seeing a wide range of color ramps, you can choose different step intervals to show your data with.

23:07And this is never a default renderer but you can use it for any single-band raster dataset that you may have available.

23:15And lastly, let's talk about the Image Analysis window.

23:19The Image Analysis window has been added to ArcGIS 10.

23:24It's, it's basically a window that contains a lot of display and processing features that you could access with a...

23:32...single click, so most of the functionality is already existed in ArcGIS 9.3.1 and previous...

23:41...but with this window, instead of having to dig into the...UI, most of these are available right there...

23:50...and you can access them within one...

23:52...one second rather than digging through the user interface and trying to search for where they are.

23:58In fact, there are demos this year are about about, I'd say, 30 percent shorter because we're using this window...

24:05...rather than digging through the UI to go look for the particular button or function.

24:10And this Image Analysis window is broken up into the, as I mentioned, display and the processing.

24:17Within the Display tab, which is what we'll talk about here at first, and processing we'll talk about later...

24:22...we have everything from the Effects toolbar available, everything from brightness, contrast, transparency...

24:29...we have a lot of the symbology tools, such as Gamma, the various contrast stretches and DRA...

24:36...which is dynamic range adjustment. We also have the ability to choose your resampling method.

24:42And this is also where you accelerate your raster.

24:45This was shown in the plenary how you make your imagery scroll faster, which we'll talk about slightly more in today's demo...

24:52...which Robert will be giving right now.

24:58Thank you, Simon.

25:00So, I've calculated statistics on my elevation data, so let's see how else I can visualize this data.

25:07In the table of contents, I can simply change the color ramp by left-clicking on it and choosing a different color ramp.

25:15But I can also go to the layer properties and the Symbology tab, and here we see mostly what we've seen in previous years.

25:24So I can change my stretch type very easily to minimum/maximum and other things.

25:30A new thing is that we have this advanced labeling option.

25:36I can set my number of intervals, change my color ramp, and give it a custom color.

25:46So this is a way for me to emphasize a specific color range and cartographically display my data quite differently, such as that.

26:02In addition, note here that in the table of contents, now I have elevation values corresponding to my different colors.

26:12So in addition to this new advanced labeling, I can also use the classify renderer.

26:17If I want to, say, display my data in something like low, medium, and high.

26:25So it becomes very easy to display my data in various ways.

26:31Let's see how, what else I can do.

26:34So I have my Landsat data here, and I have this new Image Analysis window.

26:40To access it, you simply go to Windows and Image Analysis Window.

26:45In my case, I've already docked it on top of the table of contents, and here you can see...

26:49...I can easily change the contrast and brightness, I can change my stretch...

26:57...and so it becomes very easy for me to interact with my data.

27:01Now Simon earlier alluded to color maps, and in my department, we've had somebody create a land cover classification.

27:12And whenever we use this data... Let me zoom in here a little bit.

27:17Whenever we use this data, because it has less than 25 unique values, it uses by default the unique values renderer.

27:24And...every time we load it, the color comes out different.

27:27So a workaround in the past has been to save a layer file with it, and then whenever we use the layer file...

27:33...we see the colors that we would expect.

27:36In my case, water should be blue; bare soil should be brown; vegetation, green; and so on.

27:42So now at 10, we have a very easy way to persist this.

27:46I simply go to the layer properties, and I...we can see the unique values renderer is used.

27:51I can click on Color Map, Export Color Map, and then, I can simply save my color map file.

28:02Now that I'm done saving this file, I need to persist this to my dataset.

28:07To do this, I'm going to search for our color map tools.

28:13And we see that we have two different color map tools, Add Color Map and Delete Color Map.

28:18I want to add a color map. I'm going to ask the dataset that I want to add this color map to, and just quickly...

28:27...I want to show that in the dataset properties, the color map is currently absent.

28:34I also need to add my color map file that I just saved, and I click OK.

28:43Now let me remove these files again, now simply add the...classification file...

28:52...and now we can see that the colors are applied the way that I would expect.

28:56The other benefit of saving the color map file is that...

28:59...I can apply the same color map to multiple datasets that have the exact same classification.

29:06So Simon, how else can I display and use my data?

29:15Well, the next thing we want to talk about is rendering your mosaic dataset.

29:19As we mentioned, the mosaic dataset is a new raster data model that we've added to ArcGIS 10...

29:26...stored like a catalog, works like a raster dataset, kind of the best of both worlds.

29:33So we'll start out and talk about the way this is shown on your screen.

29:37When you add this in by default, you first see these green lines surrounding each of your raster datasets.

29:45Each of these lines are a footprint, so it's a lot like a raster catalog.

29:49The raster catalog also had this idea of footprints.

29:52And each of these footprints just has a box around the minimum boundary rectangle of your raster dataset.

30:00Well, otherwise, other than being stored like a catalog and having these footprints...

30:06...it's a lot like a raster dataset in terms of the actual rendering of the pixels.

30:10We simply have our data there, and then hopefully it shows up; if not, you'll...

30:18...there's other tools to help you better display your data, such as building overviews.

30:23While assuming that our pictures do show up properly, what we have is...

30:29...we also have the idea of the level of detail within the mosaic dataset.

30:36What level of detail is, it's a lot like scale dependency.

30:40So whenever we're zoomed out at a scale such as 1 to 100,000, we can see our low-resolution imagery.

30:50And then we, when we zoom in...

30:53...and assuming you have more than one resolution available in your mosaic dataset...

30:57...and you zoom in at a scale of, say, 1 to 25,000, you can then see high-resolution imagery.

31:06So if we manage and create our mosaic dataset properly...

31:13...we can use this to show your imagery with varying levels of scale rather than having ArcMap do that for you.

31:20And this way, it's stored within the mosaic dataset and therefore, every time you transfer to a new map document...

31:28...this is already saved within there.

31:30As all...as mentioned, we have these things called overviews.

31:33Overviews are a lot like pyramids.

31:35We pre-create different layers of varying resolution, and what this allows us to do is...

31:41...it allows us to view our data at any scale, and it also allows us to view our different levels of scale a lot quicker.

31:54Another new thing within mosaic datasets is mosaic methods.

31:58What mosaic methods do is, once again, it's whenever you have data that overlaps on top of each other...

32:05...you have to figure out which one is going to be displayed.

32:09And mosaic methods help us define the display order whenever we have overlapping rasters.

32:16So we'll start out with one of the easier mosaic methods, which we call By Attribute, which is over here.

32:23And the way this works is, we take one of your attribute fields, for instance, cloud cover...

32:30...and then we can display whichever raster dataset has the least amount of cloud cover.

32:35Of course, you'd have to assume that you're specifying that you're going from lowest to highest.

32:40You could also go the other way around, so it's your choice.

32:43So, and, with... so we'll look through the attribute fields, and whenever there's a conflict of overlap...

32:49...we'll always choose the lower cloud coverage.

32:53So in this case, the green footprint would be the one on top, followed by the purple and then finally the yellow one.

33:02We also have the... most northwest, and the way this works is, we find the cell center of each of your raster footprints...

33:14...and then we...whichever is closest to the northwest corner will be the one displayed on top.

33:21In this case, my yellow footprint is the closest to the northwest corner, so that will be displayed on top...

33:28...followed by green, followed by purple.

33:31Next, let's look at Closest to Center.

33:34Closest to Center, once again we're using the center point of your footprints, and the way it works is...

33:41...whatever the display center is closest to your footprint center, those are the ones shown.

33:50So my screen here or my display is outlined in the black dotted line, and the center of my screen is shown by this X over here.

34:00And therefore, the closest center to my X would be my yellow one, followed by my green, followed by purple...

34:07...so that's the order that these would be displayed in terms of what's on top.

34:14Next, we have Closest to Nadir. The center of your footprint is not always the nadir point on your footprint...

34:23...especially in oblique imagery; this could be _____ skewed.

34:26So we find the nadir point of your imagery, assuming that your metadata had this information...

34:32...and then we find which...which nadir point is closest to your display center.

34:40Once again, the display center is an X, and your nadir point is the dot, and therefore, in this case, green, or sorry...

34:49...yellow would be shown on top, followed by purple, followed by green.

34:55One thing that we have to mention for Closest to Center and Closest to Nadir...

34:59...whenever you change your display screen or the extent of your display, the way that these are displayed can change.

35:07So for instance, we'll go back to Closest to Center here.

35:11I zoomed into a different spot within my mosaic dataset here, as shown by the dotted box.

35:18When I change my display extent, Closest to Center and Closest to Nadir has now a different center point.

35:26So now my center point would be closest to my purple footprint, so that would be displayed on top...

35:32...followed by the yellow, followed by the green. And lastly we have Closest to Viewpoint.

35:37Closest to Viewpoint, once again, we use the nadir spot within your footprint or your image.

35:44And we can manually choose the viewpoint.

35:48So we're not using the center of the screen anymore for viewpoint; we're choosing a predefined location of view...

35:55...and therefore once again, we go, which is the closest nadir point to your viewpoint, and that's how display them on top.

36:02It goes from yellow to green to purple.

36:05So let’s go ahead and discuss some of our mosaic dataset demos here.

36:13As mentioned, all the...raster functionality we are showing in this particular demo only uses an ArcView license.

36:23Robert will be doing some editing on vector data; that requires an ArcEditor license.

36:28All right. Thank you, Simon.

36:30So one of my coworkers has created one of these new things called a mosaic dataset.

36:34And we find it here in my file geodatabase.

36:37I can simply add it to ArcMap, and now I can see that this thing on the fly creates a composite of my Landsat data...

36:44...so now my Landsat data shows up in RGB color rather than grayscale.

36:51So now I can zoom in, and as I zoom in and continue to zoom in, I start seeing the scale dependency in my imagery.

37:01So at first I saw my Landsat data; now I’m looking at my QuickBird data.

37:05I can zoom in further, and here, I can see some of my tiles that are overstretched.

37:11So I can...simply change my stretch type to Min/Max to make it look nice.

37:18As I zoom in further, I can see I have more data underneath with higher resolution.

37:24So let's zoom out a little bit and look at this thing called the mosaic dataset a little bit more.

37:32In my table of contents, I can see that the mosaic dataset is a composite layer.

37:37So we have my group layer right here, and then a boundary layer, a footprint layer, and my image layer.

37:43My boundary is a feature containing all the imagery that I have in this mosaic dataset.

37:51My footprints is a feature showing me the extent of each individual tile that is contained within my mosaic dataset.

37:58And so you can see here that I have a lot of different data making up this scene.

38:05If I right-click on the footprint, I can open the attribute table.

38:09This attribute table has a lot of information, so we can see my data here...

38:15...we can see it's populated with a group name and a product; my center x and y...

38:20...which is used for the mosaic method that Simon talked about...

38:24...we have my sensor name, when my data was acquired, and a lot of other information.

38:31And my friend has added this Year field to help me figure out exactly what year my imagery is from.

38:43So I came across a point where I looked at my feature...where I need to make some edits.

38:52So in this case here, we can see that I look at my 2001 imagery and my road map network neatly lines up with the roads on my imagery.

39:02Now I'm going to go to this mosaic method through the image properties...

39:07...and I'm going to choose the By Attribute mosaic method and, in my case, the year.

39:14So now as I look at my year 2005, I can see that there's a new subdivision and I need to update my roads.

39:23Now rather than ...having to go through all my files in this to figure out what exactly are the files I need to use...

39:30...I simply use the mosaic dataset and it does all the managing for me.

39:34So I can zoom in to my data. I'm going to start an edit session here for my streets data.

39:51Now before I'm going to start an edit session, I want to point out...or as I, as I start editing, really...the...

39:58...in the past, we would edit, and then once we get to the edge of our editing, we would have to pan...

40:08...there you go...and then continue editing.

40:12Well, this has changed at 10. I can use the Image Analysis window to accelerate my raster.

40:23And now we have several ways that we can take advantage of this technology.

40:28So for one, as I pan, now you can see, I have a seamless pan experience, and I can continue my editing.

40:37But it goes further than that. I can also use the hot keys on my keyboard.

40:43In my case, the Q key, which allows me to now roam through my image and digitize on top of my image...

40:53...as it moves beyond my data.

40:57And so now this makes it very easy for me to move around and digitize my data.

41:04Back to you, Simon.

41:10Thank you, Robert. So the next section we'll talk about deals with processing raster data...

41:16...and we have a lot of different tools even within out-of-the-box desktop core raster in order to deal with your imagery.

41:24We have everything from combining bands, clipping data, mosaicking, pan sharpening, orthorectifying...

41:30...and this is just a select list, that we have a lot, lot more tools than that.

41:36So let's start out with combining bands.

41:38Combining bands takes many images, whether they be single band or multiple band.

41:44Oftentimes, they're single-band images. We'll take a bunch of those and put them into a single, multiple-band raster dataset.

41:52And the reason we do this is, first of all, assuming that this is the data all lining up on the same spot...

42:00...instead of having to manage three or seven different layers, we can only manage, we only have to manage one file.

42:06In addition, since most of the times, our sensor data comes in, for instance, Landsat has seven bands...

42:13...and your QuickBirds have four bands...you put them all together in one raster dataset.

42:18We're only managing one file, as mentioned, but we also have the ability to now display your imagery in color.

42:25If they're all stored as single bands, they're only displayed as black and white, as we discussed in our default renderers.

42:32We have the ability to clip our data.

42:34So clipping our data would take a small portion of your study area and simply subset or clip up that portion of your file.

42:44When we clip your data, traditionally we tended to use geoprocessing tools such as the Clip tool.

42:52We had the Export Data dialog window, but now what we have, as I mentioned...

42:58...we have this processing panel within our Image Analysis window...

43:01...and we're now able to clip on the fly using the Image Analysis window.

43:07By the way, I forgot to mention...

43:09...when we use composite bands, that button is also available on your Image Analysis window, as well.

43:15In fact, there's a continuing trend here, even with mosaicking.

43:20Mosaicking, we take two or more adjacent and overlapping raster datasets, and we can put them together into one file.

43:29A lot of geoprocessing tools that are still valid and were available before, such as Workspace to Raster Dataset...

43:36...Raster Catalog to... Raster... Raster Catalog to Raster Dataset, were available and still are available...

43:43...but now we have the ability to mosaic on the fly.

43:46We have the ability to just click the Mosaic button on our Image Analysis window.

43:52And we also have the mosaic dataset, data model, which is kind of like a virtual mosaic since we can create them fairly quickly.

44:03Pan sharpening is when we take a low-resolution RGB image...

44:08...and fuse it together with a high-resolution panchromatic image...

44:11...and the outcome is a high-resolution color image.

44:17Once again, geoprocessing tools have been available in the past and still are available.

44:23The Raster Symbology tab always let us do this in the past...

44:26...and now we have the button on our Image Analysis window.

44:29So we can see that Image Analysis window takes...a lot of the functionality we already had...

44:36...but instead of having to dig through the toolbox or the different symbology tabs and whatnot...

44:43...they're available to you on that window with a single click.

44:46As well, they're done on the fly, which Robert will show you later and as mentioned...

44:51...our demos are easily 30 percent shorter now because we're no longer having to persist it out on disc.

44:59And lastly, we'll talk about orthorectify. We have the ability to display our imagery with more accuracy...

45:06...assuming that we have a sensor model available and an elevation source.

45:12And usually that elevation source is a DEM and your sensor model are rational polynomial coefficients.

45:19Once again, not a new feature, per se.

45:22Always available within our geoprocessing tools, always available within our raster display tab...

45:29...and now available with our Image Analysis window.

45:33Speaking of, this is the processing panel. It's at the bottom of your Image Analysis window.

45:40As we saw, we have a lot of different tools that I've mentioned available and a lot more.

45:46And all these tools will process on the fly, all except for one.

45:51The Export Data will actually bring up the Export Data dialog.

45:56But all the other tools on here will simply process your data on the fly within a single...

46:00...click so therefore you get your done, your work done very, very quickly.

46:06So let's just go ahead and see how fast this can now be done.

46:12All right, then. Thank you, Simon. So this is going to be my last demo.

46:17And for this demo, we find ourselves in...downtown Portland, and here you can see I have several feature layers.

46:26I have my tax lot information in the gray features.

46:31I have building footprints, and then a study boundary that was given to me when I'm supposed to do my analysis.

46:37Now my task is to compare the building footprints with footprints that I can identify on new imagery that we've acquired...

46:46...and compare them to see where we need to update our data or where we maybe have to go out into the field...

46:52...to figure out if we need to update the tax information for the tax lot.

46:58And so we've received some GOI data, and here you can see that I have several different datasets, each representing a band.

47:06I can simply drag and drop them into ArcMap, and here you can see I have my blue band, my green band...

47:15...my red band, my near-infrared band, and my panchromatic band.

47:20So now I need to prepare this data so that...that I can properly use it.

47:25So the first thing I'm going to do is I'm going to make a selection of my color bands.

47:31I'm going to click the Composite Bands button.

47:34This creates a new layer, which applies to composite on the fly...

47:38...which allows me to visualize my data in color very easily.

47:42I'm going to remove the individual bands 'cause I'm done with them.

47:48Next, I'm going to easily apply the sharpen filter on my panchromatic image to make it look a little bit sharper...

47:56...which helps me later on, and then I can remove that. Let me change the order here a little bit.

48:05So now as I zoom in a little bit, I can go right here.

48:14We will see the higher-resolution color image as well as my lower-resolution...

48:20...my higher-resolution panchromatic image as well as my lower-resolution color image.

48:27And so now, I can simply pan sharpen them together to give me a higher resolution, crisp image, the way that I would expect.

48:36Now let me reorder this so I can see my features.

48:41And now we can start identifying all features.

48:44But before we do, I want to set up the imagery a little bit nicer so I can better identify these features.

48:50So I'm going to turn on DRA, I'm going to change my stretch type to Present Clip...

48:57...and then I can also change my gamma a little bit so I can see my features a little bit easier.

49:05Next I'm going to accelerate my data, and now I'm going to turn on my points of interest.

49:14I've already started identifying some of them.

49:19For example, here you can see there's a shed that we don't have any footprints for.

49:25Next, I'm simply going to start my editing and select To Create Points.

49:35So now, I can look around and try to identify features for possible points of interest that I'm interested in.

49:44So now we have several ways to roam around. I can, as usual, pan.

49:49I can use the Q key that I've shown you earlier, but in my case, I want to use my arrow keys.

49:55So I can click my arrow keys, and you can see it goes pretty quickly.

50:00And so in addition, I'm going to hold down the Shift key, and now...

50:04...as I roam around, I can simply click wherever I find points of interest...

50:12...like here, we have two buildings.

50:14And right now you don't see this point, so as I stop, and I have to wait for the rendering for a second...

50:20...here you can see how I digitize my points even while I'm roaming.

50:27So now I just look through my imagery to try to...to find these points of interest, in my case.

50:38So now that I'm done, these points are more than just...graphics on my display.

50:44These are actual features in my dataset.

50:47So for example, I can now create a simple spatial query against my tax lot information.

50:56I go into Selection by Attribute, and when I select my lots that contain my ...the points...

51:05...the features that I've just edited.

51:08And now if I go to the attribute table off my tax lots, I can get all the information off my tax lots...

51:13...including the owner, the address, the zoning, and everything else.

51:22And so now I can easily create driving directions to these places so I can do my ground truthing and everything else that I need to do.

51:29And so you've seen how easy it was for me to set up my data and start using it right away...

51:34...rather than running several geoprocessing tools to get the output that I needed.

51:39Back to you, Simon.

51:44So as we saw, there's...ArcGIS 10 was, not only for imagery and raster but throughout the entire Desktop product...

51:53...about doing your work faster and helping you achieve your tasks.

51:58We've listened to a lot of the feedback that you, the users, have had, whether it be through the forums...

52:05...comments you make here at the User Conference, comments you make down at the showcase booths...

52:10...and we try to incorporate a lot of the ideas that you have.

52:13So here's the summary of what we've added to ArcGIS 10. Most of these were user driven.

52:21The first one was one of our biggest changes that we've made, but hopefully you don't notice too much.

52:28What we've done is we've added in a brand-new format library, used for all our data, raster data formats now.

52:35Now I say, hopefully you don't notice that we've done this change because...

52:38...hopefully your data still works the exact same way that it used to.

52:42The reason we added in the new raster format library is to get rid of the limitations that we had with our old format library...

52:50...add in new data formats, such as the ability to display a big TIFF.

52:55A big TIFF is a geoTIFF that is larger than 4 gigabytes in size.

53:01We've made a big TIFFs as large as 75 gigabytes or so. I'm not...yeah.

53:08So Robert's made one at least 75 or more, and so on and so forth.

53:11And we've added in other data formats, as well, such as the BAG format...

53:17...which I know a lot of the nautical people are very happy with...

53:19...and we've added in ISIS, and so much more, as well.

53:24As mentioned, we have over 65 different formats available to read at ArcGIS natively.

53:31Of course, you can add in your own custom formats still.

53:34We've also added in the ability to write out four new formats.

53:38Not new formats, per se, but new writing formats for us.

53:42We've added in the ability to write out a BIL, a BIP, a BSQ, and also an NVDAT file.

53:52We've added in the new mosaic dataset data model, as we've shown.

53:57Hopefully, you'll try and use this and implement this within your work if you use a lot of imagery.

54:04In fact, this is a big focus for us here at the User Conference, and there's a lot of different sessions dealing with mosaic dataset.

54:12I'll go over a session slide with you after what's new.

54:16We've added in the image analysis window. As Robert showed you, you did your work very quickly.

54:22You didn't have to persist it on disks.

54:24So you simply do all the processes that you need to do, and then once you're ready...

54:30...Now you can go ahead and persist it out on disk rather than having to do that several times.

54:36We've added in the ability to do advanced labeling, which a lot of the cartographic people are very happy with.

54:42And we've added in the ability to do a couple of new features at color correction.

54:48Not only did we add in new color balancing methods for the raster catalog...

54:54...we've added in the ability to color correct your mosaic datasets as well.

54:58So those new mosaic datasets can be color corrected as well.

55:03Keep in mind, we only do color correction on raster catalogs and mosaic datasets.

55:11We do not color correct single raster datasets.

55:16We've added in raster functions.

55:17These are all the on-the-fly processing tasks that Robert showed you.

55:23These are all done with what we call raster functions.

55:27So they're hidden behind the scenes, and they can also be exposed, but this is how we do them on the fly.

55:34We have the raster options menu.

55:38This is not new, although it's found under a new spot now. At ArcGIS 10, it's under Customize Options.

55:44And the tab itself is not new. We've always had it...

55:48...but we've added in the ability to do so many more parameters and properties...

55:54...that you could set by default before you start any of your raster work.

55:59This has been highly user driven.

56:01A lot of the users said, Well, I don't like standard deviation.

56:04I want to start my raster dataset being displayed with the min/max renderer or the histogram equalizer, and so on and so forth.

56:12And I want to use bilinear interpolation since I deal with a lot of satellite imagery.

56:18So a lot of these things that you've asked for are here now in the Raster Options tab...

56:25...so that you can start your work and hopefully do your work a lot quicker.

56:30We've added in the ability for a lot of new and enhanced geoprocessing functionality.

56:38We've added in a new toolset for the mosaic dataset.

56:41There are 16 tools in here to help you create, edit, and manage your mosaic datasets.

56:47We've also added in four additional geoprocessing tools for your raster datasets.

56:53We've added in Split Raster, Raster to DTED, Build Pyramids and Statistics, and Make Mosaic Layer.

57:03We've improved two of our previously existing tools.

57:06Mosaic to New Raster used to be a script tool. Now we've turned it into a full-fledged system tool.

57:14And as Robert showed you, we've improved the Add Color Map tool.

57:20So we can not only add in CLR files now, another thing we can add in are ACP Adobe color table files as well.

57:29In the Environment setting for the geoprocessing tools, we've added in the ability to compress our pyramids.

57:35So now we can create pyramids that are smaller.

57:38And we've also added in the ability to do more TIFF compressions.

57:42In the past, we simply LZW, LZ77.

57:46Now we have the ability to do CCITT, PAC bit, so on and so forth.

57:53So we have a lot of development sessions here about raster and imagery.

57:59You're currently attending Using Imagery and Raster Data.

58:03Hopefully, you know that now.

58:04And we have many other sessions which will help you with your raster imagery needs.

58:13One of the main sessions that you'll probably want to attend after this one, if you're still interested in imagery...

58:19...is Managing Imagery in Raster Data.

58:22So this will not only go over how to manage your raster datasets...

58:26...your raster catalogs, it'll also tell you a lot more about this mosaic dataset.

58:30It'll tell you when you would use it, why you would use it, and how you create it and how you edit it.

58:37Along the same lines, we have Working with Sensor and Image Data.

58:41So once again, this deals with the mosaic dataset and managing data, but this has more of a focus on sensor data.

58:47So if you get a lot of sensor data, QuickBird, Landsat, IKONOS, so on and so forth...

58:53...you'll want to attend that session.

58:55So both of these sessions are actually being offered right after this one.

59:00Managing will be taking place in this room, and Working with Sensor Data will take place in room 3.

59:06If you want to know more about what's new in ArcGIS 10 with raster...

59:11...there's three different sessions you can attend to go and see that.

59:15And if you're more interested in the server side aspect, we have Working with Image Services in ArcGIS Server.

59:22And these are all technical workshops up in green.

59:26We have four demo theaters also available for you.

59:29Once again, on the server side, we have Building Web Applications for Image Services.

59:33That takes place today in the morning at 11 o'clock down at the Server Island.

59:39And the next three demo theaters we have take place on the Geodatabase Island.

59:45We have Georeferencing Raster Data, which takes place this afternoon...

59:48...Creating Mosaic Datasets, which takes place tomorrow morning...

59:53...and Using Image Analysis Window, which takes place Thursday afternoon, which Robert will show you.

1:00:01We also have this thing called Imagery at UC 2010.

1:00:05So this is...we have a lot of keynote speakers, case studies, moderated paper sessions, and so on.

1:00:13Most of this takes place in the Omni Ballroom. That's at the Omni Hotel across the street.

1:00:19And we also have the Exhibit Hall and Demo Theaters.

1:00:22The Exhibit Hall will have people within our staff...

1:00:26...and also all our third-party business partners will be right around that Imagery booth.

1:00:31So you'll want to go to the Imagery booth if you're highly interested in imagery, not only for ArcGIS...

1:00:37...but also our third-party business partners.

1:00:42So we have two links that we'd like to give you, the new Imagery Resource Center.

1:00:48So this has been updated for ArcGIS 10.

1:00:51So for any and all of your imagery needs, hopefully you can go here and find the information that you want.

1:00:58We also have the Imagery blog available. This can be accessed through the resource center...

1:01:02...but I thought I'd highlight it anyways.

1:01:05The blog offers a weekly and, sometimes, more than once a week.

1:01:11It offers just some supplemental information that we'd like to highlight...

1:01:16...and sometimes we simply give out announcements if there's a big announcement coming out.

1:01:23So we'll go ahead now and open the floor to any questions we have. We have about 15 minutes of questions.

1:01:28So let's start out. In the black, there in the aisle?

1:01:31[Inaudible audience question]

1:01:45You know anything about that? Land-use land cover classifications?

1:01:53Unfortunately, we had networking problems over at Redlands, so I didn't see the entire plenary.

1:02:00It cut out on us a lot, so I'm not sure exactly what particular portion you're referring to.

1:02:06But please come up and we'll talk about that in more detail.

1:02:09Unfortunately, like I said, most of the plenary, especially the imagery part, was cut out from our end of the viewing spectrum.

1:02:17I wasn't here yesterday at the plenary. There in green?

1:02:21[Inaudible audience question]

1:02:24Oh, oh, thank you.

1:02:26[Inaudible audience question]

1:02:39So...so the question is, how do you persist that color map with the image?

1:02:43And there is a geoprocessing tool called Add Color Map.

1:02:47You want to show them?

1:02:49Yes. And so you can simply search for Color Map, and then you'll open the geoprocessing tool...

1:02:56...and then you add the image up here, and then on the bottom here, you point to the file that you just saved.

1:03:05And then it persists it to the dataset.

1:03:09All right. In orange?

1:03:11[Inaudible audience question]

1:03:31Okay, so the question deals with bathymetry data, and it's very large.

1:03:37Do you know which format your particular data is in?

1:03:41[Inaudible audience response]

1:03:46Okay. It's a grid? Yeah, okay, so it's grid.

1:03:49[Inaudible audience response]

1:03:52Okay. So grids should be able to handle large amounts of data...

1:03:58...so we'll probably need to talk about that on a case-by-case basis.

1:04:04It's something that should work. It might be a bug, it might be the data.

1:04:07We're not sure. We'll have to talk about it a little bit more in detail.

1:04:10Yes...

1:04:11[Inaudible]

1:04:12Are you hitting a 65,536 limit?

1:04:17[Inaudible audience response]

1:04:18Okay. Okay.

1:04:19I can go to 9999999. Right.

1:04:22Okay, sorry.

1:04:23You can set it high, but then it takes a while to create it.

1:04:26[Inaudible audience response]

1:04:28Okay. Okay, okay. We'll have to look into that.

1:04:34Definitely. We'll look into that. Please come see us afterwards. In the blue there?

1:04:38[Inaudible audience question]

1:05:00So, so the question deals with, they've been using imagery at 9.3.1, displayed fine.

1:05:08They bring it into ArcGIS 10 and images are now way off to the other side of the screen.

1:05:13It sounds like there's a lot of, this most likely deals with projections and extents and...

1:05:19Do we still? Right.

1:05:22[Inaudible audience question]

1:05:23Do we still have bugs with that? I thought we fixed most of those.

1:05:27If you can give us the data, we need to look at it.

1:05:30That was definitely one of the issues we had to look for in ArcGIS 10, and as we mentioned...

1:05:35...we hope your data still works fine, but there might have been some formats, some projections that aren't quite working...

1:05:41...especially...do you know which projection you're dealing with?

1:05:45[Audience response]...State Plane.

1:05:46State Plane, so...

1:05:48[Inaudible audience question]

1:05:49Okay. Wow. Alright, we'll definitely want to talk about this one. That's a very big deal to us.

1:05:55That was one of the ones that we're definitely trying to avoid. In the white in the back there?

1:06:01[Inaudible audience question]

1:06:11So the question is...mosaic datasets. This User Conference, we're really trying to push this mosaic dataset.

1:06:19Are we going to phase out raster catalogs or raster dataset?

1:06:22The answer is definitely no, especially for raster datasets.

1:06:26If you get rid of raster datasets, you can't use the mosaic dataset since it's based off of a raster dataset.

1:06:33We're not phasing out raster catalogs. We're still supporting them.

1:06:35I have heard no word about if we will defer them, but my guess is we'll keep them.

1:06:42It'll turn into a normal thing where we don't necessarily improve upon it.

1:06:46It's still there. We'll still support it for now...until I hear otherwise. They're still available.

1:06:52It's just we've added in a lot of functionality to this mosaic dataset, which we're not able to do given the raster catalog structure.

1:07:00So this is how we're making it so we're dealing with the issues that a lot of large agencies have.

1:07:07We had to create a new data model. In the blue?

1:07:11[Inaudible audience question]

1:07:14Mosaic datasets? Mosaic datasets, are they compatible back to 9.3.1?

1:07:19The answer is no, they are not.

1:07:21It deals with the geodatabase, so since we're storing it in a 10 geodatabase...

1:07:27...we cannot back port it to a 9.3 geodatabase, at least not that we have planned on doing, but...

1:07:33[Inaudible comment]

1:07:34Right. Okay, so Robert mentioned a good point.

1:07:36If you do want to serve out your data using ArcGIS Server, your 9.3 client can view it.

1:07:43But in terms of the actual desktop product of accessing a mosaic dataset...

1:07:49...we cannot do it because it's stored in a 10.0 database. In the front?

1:07:53The boundary and footprint is...

1:07:57Right.

1:07:58[Inaudible audience question]

1:08:00Yes, the boundary and footprint our polygon features.

1:08:05Okay, over there in the blue?

1:08:08[Inaudible audience question]

1:08:16Sorry, I couldn't really hear that. I just heard peak words here and there.

1:08:20[Inaudible audience question]

1:09:08Okay, so the question is, when you serve out this mosaic dataset, is it like a raster dataset, or what is it like, correct?

1:09:17[Inaudible audience question]

1:09:20So first off, just to make sure we're on the same level, to serve out the mosaic dataset...

1:09:25...there's an extension on the server that you need.

1:09:28But once you serve it, it's an image service, and so as such, it'll be like a normal image service that you consume.

1:09:36It looks like a single dataset. You still have the scale dependency.

1:09:39And in addition, there are additional tools. You can actually download some of the...like, your data...

1:09:45...if the person that serves it out allows it, and other things.

1:09:49But as you consume it, it's like a dataset.

1:09:53Right. So as we mentioned, even though it's stored like a mosaic dataset, a raster catalog...

1:10:07[Audience question] So when would you use a raster catalog?

1:10:10[Inaudible audience question]

1:10:15Right. So the question is, when would you ever use a raster catalog?

1:10:21There's a lot of drawbacks from raster catalogs and therefore, a lot of people didn't like using them.

1:10:28Well, certain people have certain situations where they do want to use this.

1:10:33It's definitely a preference, a lot of preference, especially with this new mosaic dataset.

1:10:38Some people just wanted to, as the name mentions, just catalog your data.

1:10:43Take all your datasets, throw it into the so-called raster catalog, and be able to see where these so-called footprints lie...

1:10:51...and then choose which footprints you want to actually view or sort of make maybe a subselection on them...

1:10:59...we tried to make the user functionality a lot more like a raster dataset or an image service, in this case. In the brown?

1:11:02...save it out to, then, your study area of interest, and so on and so forth.

1:11:08So there's definitely still uses for them, but...a very quick way to just display where your data...

1:11:13...like, as a catalog shows you, it's just a quick, small version of what you have available.

1:11:19[Inaudible audience response]

1:11:22Right. So what will the mosaic dataset do?

1:11:24The mosaic dataset still creates these footprints for you but adds in a lot of functionality...

1:11:30...because like you and many other users said...

1:11:32...you know what? This catalog thing, I like the way it's stored but how do I use this?

1:11:38And hopefully the mosaic dataset will be able to have more functionality for you to use, like I said...

1:11:43...like a raster dataset, just a lot more easier. I'll get you in a second up here. Oh, yeah, sorry. Alright.

1:11:50[Inaudible audience question]

1:12:06You can. Repeat the question.

1:12:07Okay, so the question is, can you use the mosaic dataset for analysis?

1:12:10And I think a lot of those questions for the mosaic dataset will be answered in the next session.

1:12:15But to get to your answer, yes, you can use it.

1:12:19There are tools to allow you to make sure you're using a specific tile that you choose, that this tile that you're looking at.

1:12:26Because you have scale dependency, you're looking at one tile, but the final resolution might be below.

1:12:31Right? And so there are ways that you can say, "Really, only use this tile. I want to do my analysis on this tile"...

1:12:37...and those kind of things.

1:12:40Yes. Right. They'll talk a little bit more about how to create it and some of those things.

1:12:46[Audience question]Do you have any experience with using a huge number of tiles?

1:12:52Do you see any performance degradation?

1:12:56We've seen, we've loaded into the mosaic dataset some like 8 million and 10 million records, and so...

1:13:06...it scales very well, especially if you have permits... or overviews, overview files.

1:13:12And the display also works very well.

1:13:14And really, at that point, it's beneficial to turn off the footprint because displaying all those vectors takes a long time...

1:13:22...kind of like if you have a huge feature class that you're trying to display.

1:13:26But the raster result is much faster.

1:13:30Okay, we'll take three more questions, and then you can either attend the next session or...

1:13:35...you can come and talk with us down at the Imagery and Raster islands.

1:13:39In the green up front? Oh, I'm sorry, I thought you...

1:13:40[Audience question]Is this PowerPoint going to be available?

1:13:43I have given my PowerPoint, I have uploaded to some server, my student assistant has taken it.

1:13:48I'm assuming it's available somehow. I just don't know how you would obtain it, but it is available.

1:13:55Over there?

1:13:56[Inaudible audience question]

1:14:10Okay, so the question deals with the new color map files, the CLR files that we create.

1:14:16As mentioned, there's a two-step process. We create the CLR and then we persist the CLR.

1:14:22When we use the Add Color Map tool to persist our CLR file, it is now persisted to that particular raster dataset.

1:14:30You can delete, move, rename, whatever you want, with your color map file.

1:14:34And in fact, your color map file, especially if you're using land-use classification...

1:14:38...can then be used for many other raster datasets.

1:14:43But, so the question is, if I edit my CLR file now, will that update my raster dataset?

1:14:49The answer is no. That Add Color Map tool is when it was persisted.

1:14:54Of course, you can change the color map or the CLR file, and then repersist it again, so on and so forth.

1:15:00Alright, last question for this particular session.

1:15:04Nobody. Alright, great. Thank you very much for attending. Please stay for the next session or just come down...