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Sounds like you should rather use the in_memory workspace. Using the in-memory workspace is also usually significantly faster and really easy to use. To write to the in-memory workspace, specify an output dataset path beginning with in_memory, for example, in_memory/outputReserves. In this example the outputReserves is a temporary name.
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09-20-2021
12:56 PM
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When working with image services, I like using the Make Image Server Layer GP tool to create a temporary layer using a projection and raster size suitable for my project. This 'layer' can then be used as input into other tools, or exported.
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09-14-2021
11:26 PM
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The background is that I need to provide an opinion on the impact of grazing on an area using satellite imagery. I need to look at impacts after 2008 so I want to compare imagery taken before 2008 with imagery taken in 2021. I want to use the Normalized Difference Vegetation Index (NDVI) to do so and so I opted to use the Landsat imagery from Landsat 5 TM and Landsat 8 OLI. A quick analysis of the AGOL Living Atlas Multispectral Landsat imagery, comparing June of 2005 with June of 2021, showed that for my study area the average NDVI value June 2005 was 0.3374 and in June 2021 it was 0.3989. So based on this, I was thinking that there had not been any significant impacts. However, I chose to download additional Landsat imagery from Earth Explorer and their Landsat Collection 2 Level-2 datasets. After doing so and manually computing these indices, I realised that the differences in values is actually much larger and attributed to differences in sensors, and not so much to grazing (as the impact would have been reversed – lower NDVI values in 2021). Using the Earth Explorer datasets, the mean NDVI value for 2007 is 0.1877, while for 2021 it is 0.5343. This leads me to the purpose of my query. 1) Are the NDVI values from the Multispectral Landsat image service actually comparable across time as they are derived from different sensors measuring slightly different parts of the spectral range? Or has Esri applied some form of normalisation or correction to make them comparable? The metadata did not state anything like this from what I could tell. 2) Are there any approaches I can consider to standardise or correct the bands so that they are comparable? If I can’t correct for these differences, then I cannot use this approach to quantify changes. I am thinking of moving across to the coarser-scale MODIS NDVI imagery at 250 m as they use the same sensor throughout. Any assistance would be much appreciated. Best wishes Mervyn
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09-10-2021
07:39 AM
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Hi Nick I can certainly see where you are coming from, and thank you for taking the time to reply. The error message fix for 2.9, and extent improvements for 3, will be very useful. I look forward to testing them one day soon. Best wishes Mervyn
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09-09-2021
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I am having the same problem. The output feature class is created but not the optional Output Group Table. The tool was successfully executed if I look at the results and History pane, indicating that an out was created but it is not automatically loaded to the Stand alone tables in the project map or added to the geodatabase. This seems to be a problem that was introduced with Pro 2.8. My workflow worked perfectly before this.
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09-09-2021
03:36 AM
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Hi Nick Thank you for the feedback. As my study area is 25 km away from the edge of my DEM, and I was flying 20 m above the ground, I really did not think that this could be the issue .... but I think it is! I did try using a coarser 90m SRTM dem that covers a much larger area and then the tool successfully finished. Could the tool perhaps include better messaging going forward to warn others that the extent of the dem is limited? I never angled the camera up at the horizon and it would be nice to be able to set thresholds when running the tool to limit footprint extent, like not to calculate footprint beyond 2 km. I found this interesting Earth Curvature Calculator (https://www.omnicalculator.com/physics/earth-curvature) where you can calculate distance to horizon based on height above ground. At 20 m it is 15km so I should really not be getting an error like this. Not sure if this kind of information can be incorporated into the tool? But perhaps setting a maximum distance may be easier. Thank you for the feedback. I am happy to share my files with you if needed. Just please provide me with a site to upload them to. Best wishes Mervyn
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09-08-2021
04:38 AM
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Hi David Memento360 got a lot of good reviews and seemed to be many peoples favourite. I did try it (before kuulo.co) but I was unable to upload my 360 panorama image and I suspect it struggles with larger files. Best wishes Mervyn
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09-05-2021
01:10 PM
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Dear David I thought I would provide some feedback - I have a workable solution! So I tried PTGui but the free version really has excessive watermarks, rendering it just about unusable. I share below a screengrab to demonstrate what I mean. I tried a few other free options but really liked Microsoft's Image Composite Editor although I understand it is no longer supported - but I was able to find the install file on the Internet. Equally important is sharing 360 pictures and I found kuula.co a be a great free option. It can handle quite large files (larger than some of the other options I tested), but when exporting images from the stitching software, I had to make sure that I set the maximum width to 16384px and then it loads and displays perfectly. Best wishes Mervyn
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09-05-2021
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Hi Gorden I dont have a an image server but I can try ArcGIS Image for ArcGIS Online. Do you think it will work? Tile or dynamic imagery? I have just tried running the Video Multiplexer tool again using a DTM (32bit floating point) created using Drone2Map but that also failed. Pretty frustrating. Do you perhaps have any comment on the second part of my question around ensuring that the right elevation product (Airbus in my case) gets used when using the terrain service? Best wishes Mervyn
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09-05-2021
12:26 PM
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Hi there I am struggling with the Video Multiplexer tool. I am unable to use my own Digital Elevation Model as input. I have tried different formats (.tif & .crf) and projections but I always get the " ERROR 002650: Error extracting data from the provided elevation layer." error. Any suggestions as to what may be the problem? I am able to run the VM tool using the Living Atlas Terrain layer (https://elevation.arcgis.com/arcgis/services/WorldElevation/Terrain/ImageServer). I have a question around this too. This terrain service is made up of different data products. Some very coarse. How can I ensure that the Airbus World Dem 24m is being used when running this tool with the terrain image service? Should I be using the Make Image Server Layer to query for a specific product? Thank you. Regards Mervyn
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09-02-2021
02:53 PM
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Thank you very much for the feedback and the suggestions. I am looking into them.
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09-02-2021
02:30 PM
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Hi there Yesterday I tried capturing a 360 panorama image using the Panorama functionality available in teh Site Scan LE app. We want to use it for monitoring purposes as it is now easy to recapture the same image in a years time as the flight has been recorded. So flying the drone and taking the 28 images was easy, I just cant figure out how to now stitch the images to create the panorama image and then to view it. Are there any links to documentation or advice that anyone can give? Regards Mervyn
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09-02-2021
11:50 AM
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Hi there I used the SiteScan LE app and the grid flight pattern to capture 760 images using a DJI Phantom 4 Pro in a savanna (woodland) area. I am using Drone2Map to process the imagery and find that I am not entirely happy with the results. I initially just accepted the default settings (under Options and the 2D Products and Initial tabs), but have since tried changing some of these. I am particularly interested in creating a good DTM to assist with an erosion rehabilitation study. The two below images of my DTM and DSM show that these layers can still be improved. I would love to know what settings should I be changing to get the best output? Are there any best practices that anyone can share for processing imagery from areas that are quite homogenous? Processing time is not important. Thank you! Best wishes Mervyn
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08-28-2021
07:34 AM
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Hi Glen You can add: Samsung Galaxy A72 (model SM-A72F) running Android 11 Galaxy Tab A (2016) with S Pen running Android 8.1.0. Regards Mervyn
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08-23-2021
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