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Hi Olivia. With the latest release of ArcGIS Pro 2.6, you can compare two categorical rasters and generate a table to get information about the amounts and types of change. The Compute Change raster function can compare two land cover datasets and generate an output containing all the possible land cover transitions that occurred. Because this is a raster function, you have to save the layer as a new raster before you can get pixel count information and transform that into area. 1. Run the Compute Change raster function 2. Export the function layer as a new raster dataset (use the Copy Raster tool or the Export Raster pane) 3. Run the Build Raster Attribute Table tool to add the "Count" field to the dataset (do not choose to Overwrite the existing table) 4. Add a field to the dataset and use Field Calculator to generate whatever information you want. You can get the total pixel count and divide the count for each transition by the total to get percentage, or you can multiply the count by the pixel size to get the area. This is currently a multi-step process, but we are working on making this whole process much more streamlined in ArcGIS Pro 2.7.
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09-09-2020
11:54 AM
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Like Dan said, Tech Support is always a good option. Also, I recommend double-checking that you followed the instructions on installing the deep learning frameworks as listed in the link I mentioned above. One of the reasons we developed the Deep Learning Frameworks Installer for Pro 2.6 is to rule out any installation issues when running the tools. Also be sure to check out the Deep Learning FAQ for more helpful tips.
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07-29-2020
09:42 AM
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You will get errors when entering the trained model file if not all of the deep learning framework packaged are installed. Please see Install deep learning frameworks for ArcGIS—ArcGIS Pro | Documentation for the complete instructions on how to install.
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07-29-2020
06:11 AM
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Hey Wade - you can definitely use an existing point or polygon feature class for a training sample dataset. The feature class must contain the following fields: classname —A text field indicating the name of the class category classvalue —A long integer field containing the integer value for each class category Check out the in_training_features parameter in any of the training tools to see this requirement, e.g.: Train Support Vector Machine Classifier (Spatial Analyst)—ArcGIS Pro | Documentation So the process would be: 1. Add the required classname and classvalue fields to your existing training sample dataset. 2. Run one of the training tools (support vector machine, random forest, maximum likelihood) using the imagery and the training samples you already have. 3. Run the Classify Raster tool using the imagery and the output from the classifier in step 2.
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07-29-2020
06:05 AM
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Okay, this is helpful. We are updating the Learn Lesson, and we're going to look through some of these issues to make sure it's easier to get set up. Thanks so much for posting your fix!
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02-12-2020
12:51 PM
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We're wondering if there is a version mis-match here. If ArcGIS Pro 2.5 is installed, you should have the arcgis 1.7.0 package installed (go to active python env in Python Command Prompt and type in "conda list" to checked installed Python packages). Did you try setting up a brand new cloned environment and following the steps in the documentation? You could be using an old version of the arcgis Python library from the previously-installed version of Pro.
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02-11-2020
12:34 PM
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@Karsten yep! The tools check to make sure everything has been installed correctly, and the list provided in the doc are just the minimum packages required to run deep learning tools
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02-10-2020
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There are some good suggestions on this conversation as well: https://community.esri.com/thread/243500-deep-learning-to-assess-palm-tree-preparedata-problem
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02-10-2020
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That error is likely because the software cannot find the deep learning Python package. We are working on making sure these error messages are more accurate, but in the meantime, make sure you have followed the instructions here: Install deep learning frameworks for ArcGIS—ArcGIS Pro | Documentation Make sure to create a new Python environment by cloning the default Python environment in the ArcGIS Pro settings.
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02-10-2020
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What inputs did you use for the color balance, and did you create seamlines also? I wonder what would happen if you ran the Color Balance Mosaic Dataset tool. Let me know!
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02-04-2020
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