Latest Contributions by JeffreySwain

Based on the help, the information for slope and aspect must be added to the individual points in the locations file.  So add the values to that feature like you would for the viewshed into the input file. ... View more

In testing here, I had to make a few changes to my default properties to get an output of greater than 6,000 by 6,000.  I adjusted 4 different settings in order to allow the REST page to return the values.  In addition to the Maximum Size of Requests, I also adjusted the number or records returned, the maximum number of rasters per mosaic and the max number of downloads. After the service was re created here, it was possible to return an REST request of greater than 7,000 by 7,000.  In your provided example the largest export I could achieve was 15,000 by 4,100, which seems to indicate that you have not adjusted the default setting of 1,500 by 4,100.  I would recommend adjusting the default properties as explained.  Once they are changed you should be able to get the desired results.  Also be sure to clear the cache after changes are made to see them.  Working Rest request with your data. For my test, I used 227 combined tifs and overviews that covered total of 30,720 columns and 28,672 rows.  When I increased the values indicated to exceed the total number of rasters in the mosaic dataset, the larger area was able to be obtained via REST. ... View more

If you are not interested in something like the Image Analysis Window for the NDVI or in the procedure to create the look in a mosaic dataset, then I would recommend creating a dummy raster with the full range of values and create a layer from that output.  That layer can be applied to all of your other rasters. ... View more

It is an Image Analysis Window, and it is a new window for ArcGIS 10.  You should be able to activate the Window under the Window Menu. ... View more

I would be curious to know what video card you are using.  You have plenty of RAM and have made the change for the virtual memory, but depending on the video card there still may be an issue.  Based on experience there are occassional issues with certain AMD/ATI cards that are not reproducible with Nvidia cards, but I encourage you to run this to test out your overall settings.   Here are the recommendations for approved video cards.  Also depending on your system, if you create a 3d object you like, I recommend using the Layer 3d to Feature to convert it to a multipatch, which is not as memory intensive to draw as the extruded polygon.  Also consider smoothing or generalizing your polygon if it is densified to alleviate some of the issues.  Finally, remember that ArcScene utilizes a lot of memory, so if you have two monitors, put ArcScene on the main one.  Also try turning off any other memory intensive programs prior to running it.  I am sure you already have this document, but there are still the recommendations to optimize. ... View more

Do not forget that you will most likely have to generate statistics to change it from a 'black box' to looking like data is there.  The reason for this is that usually ascii files come in with the entire range of possible values.  When you apply the standard deviation stretch then the raster will display as expected. Also don't forget the Ascii to Raster tool. ... View more

You can vary the height that you extrude the buildings by adding a field in the building footprint file and then selecting the field as the height to extrude to.  If you are looking for more complicated roofs you will have to create the models in Sketchup or another modeling software and then import them in again. ... View more

You have to 'select' it with the Select button, unless you have changed it, the selection should be cyan blue.   Here is the documentation on how to select the polygon feature. ... View more

The image classification tools are looking at ranges of the pixels selected as the training, not necessarily the combination of one pixel next to another.  That would be object oriented classification, where the arrangement and the pixel values are considered. What is probably happening with your data is that based on the training samples created the shadows might fall into another class like rooftops or roads creating the confusion.  Since the algorithm is only looking at the pixel values, such an issue can and does occur.  The only way to improve the classification is to improve the quantity and quality of the training samples or masking out some of the raster in order to analyze again. Using the image classification toolbar and then looking at the histograms created by your training samples can help you understand what the computer is looking at when it classifies the pixels.  I hope this helps explain what is happening, it is an over simplified explanation, but the concept is that pixel values in band combination are what it is looking at.  There are many journals that discuss the difference between pixel based and object oriented, this is one. ... View more

The ortho rectification process requires RPCs in order to orthorectify.  Without the RPCs the ortho rectify process cannot be used.  What you may be describing is georeferencing not ortho rectification which can be done in both software platforms, but without camera information and RPCs the output might be georeferenced, but not orthorectified. ... View more

What could be happening is that the pixels that are appearing as nodata are being rejected by the reject fraction in the classification tool.  Per the help, reject fraction controls the "portion of cells that will remain unclassified due to the lowest possibility of correct assignments."  I would consider whether the training samples you are using would be applicable to those areas and then consider performing the classification again.  If you are applying a signature generated from another set of files, the pixel values could be different. ... View more

So you have a mosaic dataset in a map service, but do not want to cache it.  Is that correct?  Generally most people that have them cascaded are in order to create a map cache. How does the image service do on its own?  Cascading the image service in a map service will not be any faster than the image service.  If the image service is slow then test by publishing one overview directly and one of the source rasters directly. If those are fast then it is the way that you have configured the mosaic dataset.  If both the original raster and overview is just as slow then it is the network speed. At this point I would determine if you move the source rasters to the Server and they perform better or work with your network professionals to determine why the network is causing the problem.  I would recommend creating more overviews on the original mosaic dataset, which will take advantage reducing the threshold at which the source rasters are being utilized, which may speed up the performance as the overviews are quicker to display.   Depending on the original raster format, some rasters are just slower performing.  Generally the more highly compressed then the worse the performance.  There was information generated by testing the original Image Server, but in tests here the same holds true in testing here.  JP2s and Sids perform slower than the fastest performer, tiled tifs. ... View more

There is also this tool, the Feature to 3d by Attribute, also bear in mind you can pull any of the geoprocessing tools in ArcToolbox, back into your Toolbar.  This option was the other half of the 'Convert to 3d' button in the 3d Analyst toolbar. ... View more