Latest Contributions by JeffreySwain

Hi Milton,  This wouldn't happen to be a dynamic imagery layer would it?  If so, then you cannot share it with everyone. If you want to share it with everyone, please use a tiled imagery layer.  Here are a couple of blogs that go into the details in more detail.  Dynamic imagery layers Tiled imagery layers ... View more

Hi Yigal,  So what you want to do is create a thematic imagery layer. I recommend a tiled imagery layer. The step you need to follow first is to have a colormap exported from Pro with your colormap you want for the layers. When you open the web interface, choose the option for One Mosaic and then be sure to choose Thematic. After choosing Thematic, the option to use your colormap will appear.  Browse to your colormap and use that. Be sure your colormap is complete with values and colors, some of the colormaps may need some help prior to exporting them to ensure they work. One way to test you have the right one is to apply them to your data in ArcGIS Pro.  Hope that helps.  ... View more

Hi GarthHoxsi-Quinn, The option returns for me after I save it.    After you save it, do you see it then?  There is no Save option for me when I haven't already saved it. Save As is the first step.  ... View more

Hi S6, From looking at the DLPK information, it seems that it requires the following input. I do not see a specific default order specified. Can you indicate what raster product or band combination you are currently using?     ... View more

Try to confirm that the statistics, the spatial resolution, and the histograms for the imagery is generated and similar. The color matching will need all of that information to find a blend that may work. If you have statistics, then you may want to continue to try the color balancing options besides the default. I would also consider if there is a histogram stretch applied to each of them and perhaps try and normalize them manually to see how close you can with the Appearance tab in ArcGIS Pro.  I have had some success with different raster datasets as long as they are spectrally similar. If the values for the pixels or the bit depths vary then it may be too much. You might also try the Mosaic to New Raster tool to see if combining them directly improves it. If they are similar enough, then the mosaic process may improve the display.  ... View more

Great question and thanks for the description. I would think you are on to something about the imagery if you are studying forests. Most times when opting to collect 'leaf off' imagery, the purpose is to see what is under the trees. Since you are trying to assess the damage to the trees, perhaps 'leaf on' would be preferred. If the 'downed trees' are recognizable in the imagery, they you can try to classify them as a class rather than more traditional land cover classes. You may even have some luck using deep learning - object detection to find them as well. If it were me, I would try and see if I could use a segmented image to locate the damaaged trees, create a classified thematic image in both, and then perform the change detection. If you can't recognize the 'damaged trees' well enough, then I would consider trying to acquire 'leaf on' imagery and then the damaged areas will be readily visible since the foliage would not be there where it is damaged.  ... View more

Hey @JamalNUMAN ,  Might be better to start a new one for more visibility, but I think you should be mindful of this setting.  When you save the georeferenced image, in order to catch any changes in the extent often the default is to promote the bit depth of the input image and then assign a new NoData Value. Be sure to review the properties of the image before you save it and make sure that the bit depth and the NoData value matches. For me since it looks like you are using a jpeg, I might convert it to a tif first and then georeference that. Sometimes jpegs can be touchy when georeferencing in my experience.  ... View more

Imagery layers can be created from ArcGIS Pro, from a browser, or even through a Python notebook. There are different types of layers for different uses. For instance, the tile packages and the cached tiles in general are built for primarily performance not for raster analysis. The trade off is losing access to the pixel values in a pop-up to achieve better performance when displaying the imagery in the map or app. If the value of the pixels for thematic imagery or using the imagery in other analysis is important then the imagery layers from ArcGIS Image for ArcGIS Online or ArcGIS Image Server. For a layer that will simply be used to provide context to a web map or allow someone to visualize what is there, then the tile cache, tile package, or other cached imagery layer will work fine. With ArcGIS Image for ArcGIS Online, you can provide a fast displaying imagery layer with the ability to visualize it how you want because it provides access to the raster bands and pixel values. For a cached layer, those choices have already been made to provide a specific visualization. Some cached layers can be used in analysis with the proper environment settings, but in general an image service or imagery layer will provide the functionality to use the imagery as you would a image on your desktop application.  ... View more

The idea of the overviews are to improve the performance once the overviews are created. However, the processing speed is dependent on a lot of factors. Without more information about the spatial extent of the mosaic dataset, the type of input imagery used in the mosaic dataset, or the overview generation. These overviews are designed to improve the performance ultimately and if you have a lot of overviews to generate, your generation settings are turned to ignore the pyramids, or have input highly compressed images.  A few tips that I follow, is try to put the contiguous portions of the input images together and process them as a set. You can also create a mosaic dataset with other image services or other mosaic datasets. So if you have a mosaic dataset with disparate images, this is something to consider.  ... View more

Great ! All of the deep learning models have parameters to adjust to meet your classification needs.  ... View more

So @KerryHe to clarify, is the tiled imagery layer used in existing web maps/apps? This is a workflow that has been discussed in the team and wanted to understand your workflow to support it fully.  ... View more