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Alex OK got it, thanks. In this thread, Carlos was asking about a 360 camera (he didn't specify which one - something like https://www.insta360.com/ or https://www.flir.eu/products/ladybug6) that shoots images in all directions and generates a composite spherical image from every exposure station. Cody
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07-28-2023
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Alexander This sounds like your test was done with a normal frame camera (SLR, iPhone, etc.). Can you confirm you were using a camera that captured full 360 degree images? What output products did you generate in Site Scan? Cody B
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07-27-2023
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Carlos Can you clarify what output products you are seeking, and why you're using a 360 degree camera? Photogrammetric processing generally assumes you're working with a frame camera with a single sensor, and looking toward your project area. Terrestrial data capture is definitely a challenge, but adding the 360 views looking in all directions makes the processing much more complicated. If you're seeking an orthomosaic, you need to capture from above, and if you're seeking to generate a 3D mesh or point cloud, I would recommend a single frame camera, not a 360. If you need a solution for 360 degree imagery, you should consider oriented imagery in ArcGIS. See https://esriurl.com/OrientedImageryWorkflow Cody B.
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07-27-2023
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Thanks to Jeff for offering the suggestion to do this analysis in ArcGIS Pro. For Melody, I've confirmed with the development team that there is a software licensing limitation that prevents us from exposing the export capability, so that menu will be removed in the next release. Moving to Pro is the recommended workflow. Thanks Cody B.
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07-27-2023
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This July in San Diego for this year’s User Conference (UC), there are hundreds of opportunities to learn, grow, and be inspired—with sessions, workshops, demos, and opportunities to network about all things imagery and remote sensing. This year, we want to highlight a unique opportunity with the American Society for Photogrammetry and Remote Sensing (ASPRS), the professional organization providing leadership and standards for our work. From their mission statement: “... to advance knowledge and improve understanding of mapping sciences to promote the responsible applications of photogrammetry, remote sensing, geographic information systems (GIS) and supporting technologies.” ASPRS will be at the Esri User Conference, hosting an informative technical workshop on Sunday July 9. This hands-on session will cover the newly revised standards and guidelines to be aware of and report against, regarding positional accuracy of imagery and elevation data. Note that registration for this workshop will include a free in-person pass to the Esri UC 2023! Bring a colleague! You will also receive a certificate for four Professional Development Hours (PDH) for completing an ASPRS workshop. You’ll find more information about the workshop below. To learn more and register, visit: https://my.asprs.org/2023esriucworkshops. ASPRS 2023 Workshop Applying the 2023 ASPRS Positional Accuracy Standards and Guidelines to Imagery and Elevation Data Sunday, July 9 8:00 AM–12:00 PM PDT In this 4-hour workshop instructed by Dr. Qassim Abdullah, the Vice President and Chief Scientist of Woolpert, Inc. and Chair of the ASPRS Positional Accuracy Standards Working Group, you will learn about the updates made in the 2nd Edition of the Positional Accuracy Standards. Such updates include changes pertaining to checkpoints and ground control points, three-dimensional positional accuracy, changes to lidar data requirements, and addendums on reporting, field survey, and mapping (for photogrammetry, lidar, and UAS). In addition, you will also learn about a free, web-based Accuracy Assessment Tool from Esri that leverages the 2023 ASPRS Positional Accuracy Standards to determine the accuracy of ortho images and generate reports.
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06-27-2023
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Hi, sorry I did not see these messages long ago. It's right here in the Help https://doc.arcgis.com/en/drone2map/latest/help/radiometric-calibration.htm was also available in v2022.1 https://doc.arcgis.com/en/drone2map/2022.1/help/radiometric-calibration.htm
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05-24-2023
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Thanks to Mark for posting the workflow. If you're interested, we've published a blog discussing the different ways of compiling images into the orthoimage outputs - True orthos, the traditional orthomosaic, and also the dynamic mosaic (a.k.a. image collection). See https://esriurl.com/3orthoTypesArcGIS
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05-16-2023
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Haris7 ArcGIS Pro with Advanced license has ortho mapping https://pro.arcgis.com/en/pro-app/latest/help/data/imagery/ortho-mapping-in-arcgis-pro.htm. This is in the same section as the help Dan pointed you to, but the ortho mapping workflow (using the ribbon wizard) is very simple. I don't actually know if your Student license enables this - try going to the imagery tab and on far left hit "create workspace"... Cody B.
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04-14-2023
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David Sorry that nobody has replied - do you still need help with this? I'm not familiar with the sara repository - it's possible that the format of the images has been changed in some way. Have you tried with files directly from https://sentinel.esa.int/web/sentinel/missions/sentinel-2? Perhaps easier, have you looked at our image service at https://sentinel2explorer.esri.com/? It gives you direct access to current imagery in a dynamic image service Cody B.
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04-06-2023
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Phil there is not enough information in your post to allow us to answer. The raster you show clearly has multiple values in the pixels - do you mean you've remapped the pixel values to 1? Then can you explain what you're doing with the raster? If your study area is your raster, nothing outside that raster should be contributed to a model or analysis - if that's not currently true, what is currently happening outside the raster extent? Cody B
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03-21-2023
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Janniewu The points in your 4th screenshot are NOT in the wrong location. The basemap that you show in the screenshot is a 'traditional' orthophoto, with accurate locations for anything on the ground, but that tall building is clearly leaning away from you. The top of the building IS located where the blue photo points are shown. It's very important to understand this, both for your processing and also if you are using this basemap image to do your flight planning! If you're flying a drone near a tall building and you do not plan for the proper XYZ position of your target, you may crash your drone. (this is assuming your drone is flying on its own, using GPS. I'm guessing you flew manually in this case?) This blog may be helpful for you to understand what you are seeing in the orthophoto https://esriurl.com/3orthoTypesArcGIS although it does not discuss 3D drone flight planning. Note if you have a DJI drone and an iPad, you can use a free app from Esri to plan and control your flights https://esriurl.com/ssle NOW - this does not answer your question about why the processing failed. The project did not complete setup, so the processing could not continue. I can see that the Z values are incorrect. This is a very common problem for drones, and the Z value you show of 33 meters must refer to height above sea level (not 33 meters above ground). At your location, the ground ~31 meters above sea level, so this is telling Drone2Map that your drone was 2 meters above ground! (see my screenshot from https://esriurl.com/map4groundelevation ) Please review this help document https://doc.arcgis.com/en/drone2map/latest/help/flight-data-geolocation.htm and look for Adjust image altitudes Cody B.
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02-09-2023
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George There are a lot of questions and assumptions in your post, so this will be more than a "one answer and done" response. for a very general response, please review ArcGIS Pro Help system, and also note that the Imagery Workflows documentation site has advice on best practices (expanding on the core help topics). You'll find resources there to provide a good background for questions such as this. specific to your question, I'd advise you classify ground first, then buildings, then vegetation but there are many footnotes. if your data already has ground points classified, you should consider carefully before altering those class codes (depending on the source). If you feel the current Ground class is significantly in error, then yes you can "reclassify everything to unassigned and then just go one classification type tool at a time" You ask "is the Classify Ground tool better than or different from how Ground is created when calculating statistics?" but the latter does not perform classification - it's simply summarizing existing classifications for your question re: vegetation density, one method (perhaps not the only way to do it) would be to generate rasters for POINT density and also PULSE density, then use the latter to normalize the former. (Where you have extra points in the overlap, the PULSE density will quantify the extra sampling). See discussion of those two QC rasters here (from the workflows site) regarding building footprints, that is not a separate classification code in the lidar - you'd use the building classified points to generate polygons. See this blog. I'll forward your questions to some of my colleagues and they may have further advice for you. Cody B.
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01-17-2023
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I've confirmed this will be enabled in the next release, planned for the end of January 2023
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11-29-2022
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Allix Can you tell us which version of Drone2Map you're using? Is it 2022.1, and a Standard or Advanced license? I expect the problem may be regarding overlap. Two things you can check: 1) many drones report incorrect Z values - can you verify you have accurate values for each image (orthmetric height, above sea level - not height above ground, or ellipsoidal height). This blog http://esriurl.com/correctDroneZ was written for the case of capturing video, but there are useful resources if you need to calculate a correction for your height values. (e.g. "Use this ArcGIS Online map to find elevation values for the terrain of the project site") 2) ignoring the GPS metadata, if you visually evaluate a few image pairs (along and between flightlines), did you successfully capture ~70% overlap or more? (#1 is intended to tell us if the metadata might be *indicating* the images have insufficient overlap. #2 will tell us if your images *actually* have insufficient overlap) If you could let us review a block of images we could advise further - e.g. minimum of 3 flightlines, 5 images per line... Thanks Cody B.
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10-13-2022
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### ADDING ANOTHER UPDATE September 20, 2022 ### On the general subject of "Using video in ArcGIS" many of you may be interested to learn about Oriented Imagery. This is a capability designed specifically for images and video that cannot be mapped onto the ground - e.g. if any portion of your video aims above the horizon, some of the features of FMV in ArcGIS aren't applicable (e.g. "zoom to extent of video footprint" will zoom out to 1:1 million scale because the footprint extends to the horizon). If you are capturing video with a drone, dashcam, etc. aimed toward the horizon (even if there's a building in the view and you can't see the horizon) Oriented Imagery may provide a better solution for working with your video in ArcGIS. A good starting point is this resource https://doc.arcgis.com/en/imagery/workflows/resources/managing-and-visualizing-oriented-imagery.htm and note it points to other documentation (See Imagery Workflows resources) including public sample web apps (including some video datasets) at https://esriurl.com/OIgallery IMPORTANT SUMMARY: Oriented Imagery supports video aimed partially or completely above the horizon, but all of the discussion in this blog above regarding the format and completeness of suitable metadata (XYZ location, heading, and field of view of the sensor) is still applicable. Oriented Imagery does not provide a solution for missing or improperly formatted metadata. Cody B.
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09-20-2022
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