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Hello I'm not sure I understand your status. You mentioned processing this data before installing the DJI software - was processing successful previously, and now failing only after adding the DJI code? Are you using the current version (2024.1, or 2024.1.1 which was just released 27 June)? If you are able to share the imagery with us, I can provide an FTP link. Cody B.
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07-04-2024
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Hello all In version 2024.1 we've enabled addition of DJI software that will enable correlation to temperature. Could you try the new version (with optional DJI software installed - access through your MyEsri account) and let us know if it's working? Thanks Cody B.
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06-28-2024
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Josh Yes, the altitude warning is a new feature at v2024.1. Incorrect altitudes are one of the most common problems for our users - This warning was added seeking to avoid confusion and problems. I've seen drones report altitudes with errors more than 100 m - although this should not happen with RTK. Users with RTK drones should have highly accurate (X,Y,Z) values but note RTK is almost always referenced to ellipsoidal height, not orthometric height - so with RTK or PPK you must set the proper vertical datum. Lacking RTK/PPK, I recommend *always* using control points. (With RTK, I recommend using check points). If you have surveyed points, be sure you know the proper Horizontal and Vertical coordinate systems for the points. If you do not have surveyed points, you can extract points from the Esri Imagery Basemap - those points will not have any documented accuracy but *will* ensure your 3D products don't float above or sink below the basemap in a 3D scene. Cody B.
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06-28-2024
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Hi Everyone Sorry I never saw the later posts. This thread is now very old, but if anyone is still having license issues please let me know. Originally the license simply said "Drone2Map" We then separated the product into 2 license levels - "Standard" for 2D processing only, "Advanced" for 2D & 3D. As of now June 2024 you should never see "Drone2Map" in the license manager - it should be either "Drone2Map Standard" or "Drone2Map Advanced" (or both if your organization has both). Cody B
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06-28-2024
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Francisco Do those values appear to be incorrect for your project site, assuming the pixels represent temperature in degrees Celsius? I was going to show you that you can convert temperature units to Fahrenheit under Settings ...but I assume this project is in Spain, and you'd want Celsius. (Note if you change units, you would have to reprocess). Were you hoping to create a mosaic showing the original pixel values, from 5000 to 7000? Cody B
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06-21-2024
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Javier Sorry for the delay - I missed your message. 1) you said you followed the configuration in the documentation - do you mean from the workflow best practices starting here https://doc.arcgis.com/en/imagery/workflows/resources/managing-medium-resolution-satellite-data.htm where you found and downloaded sample Python scripts for managing Sentinel-2 scenes ? 2) You said you're getting a warning - do you mean the error message above: "Error: 8004818c: No new mosaic dataset item was added." ? Can you send a screenshot or directory listing showing your Sentinel-2 files? The folder and file structure is somewhat complicated so I want to be sure you have all the necessary files. If you view the folder in the Catalog pane in ArcGIS Pro, do you see the Raster Product icon and if you drop that into the map, does that one image load successfully? https://desktop.arcgis.com/en/arcmap/latest/manage-data/raster-and-images/what-is-a-raster-product.htm (I understand that you're seeking to make a mosaic dataset with multiple scenes, but this last test will help confirm you have all the necessary source files) Cody
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06-10-2024
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Lars In the current release, this value is not editable, for control points extracted from the imagery basemap (or your own ortho layer). If you have control points in a *.csv file, that file can define the uncertainty of each individual point. I can't yet promise which future release will enable editing of the uncertainty fields but this is an area we are actively working. We know this is an important issue. Last, I want to congratulate you for figuring out the workaround! I know it's cumbersome but it does provide a method for changing these values. Cody B.
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06-03-2024
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I'm sorry I did not see this question for 10 months. No, the software cannot autopopulate the % reflectance value for the panel. Your drone will record an image, with brightness levels in the range of 0..255 assuming an 8 bit sensor. The calibration process is seeking to answer "What is the average pixel value on the image when it views a gray object with [for example] 50% reflectance?" This provides a data point to convert pixel values from 0..255 into values representing percent reflectance. (It is generally assumed that 0% reflectance would result in a pixel value of 0, so these two reference points define the linear equation from pixels to reflectance - but this depends on the specific drone and camera. Esri implements calibration calculations recommended by the manufacturer, so we follow their specifications for this process).
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05-16-2024
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Francisco for Radiometric Quantity Type you should use Reflectance. See help here: https://doc.arcgis.com/en/drone2map/latest/help/radiometric-calibration.htm At this time we have not implemented support for the DLS inside Drone2Map. What I would recommend is to capture images of the reflectance panel before and after your flight, and look at the DLS values for those calibration images and also for the images captured over your project site. If the "before" and "after" calibration images have DLS values that are very similar (within a few %) and your flight images show consistent DLS values, your results should still be valid. If the DLS data indicates significant changes during the flight (perhaps more than ~15%, but this is just an estimate) then you would need to consider how changes in your multispectral values from early vs. late in the flight may appear in your data. e.g. if your flightlines run north/south and proceed from west to east, and illumination drops by 15% from first image to last, your spectral values MAY show a bias from west to east. However, if you're using NDVI, this concern is largely reduced, since the normalization of the NDVI compensates for variable illumination. Further, your drone will most likely change the exposure parameters to compensate for the change in illumination.
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05-16-2024
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Francisco Yes these are the values you enter for reflectance in the Drone2Map UI. There are no units - these figures represent the % reflectance, so pure black would be 0, pure white ~0.99 , and mid gray should be near 50% = 0.50
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05-16-2024
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ArcGIS Drone2Map version 2024.1 has been released! The latest version is now available for users to download from My Esri. This blog contains some highlights for what’s new in this version. For a complete list of everything new or improved, please check our help documentation. Further improvements in the quality in the 3D mesh, especially for thin structures With every release, Esri works hard to improve processing efficiency and the quality of the output data products. In 2024.1, our users will be able to reproduce thin structures like antennas, towers and bridges with better fidelity than ever before in the 3D mesh as well as 3D point cloud. The structural improvements will also be noticeable along sharp building edges. In this release, be sure to use the “ultra” setting for the point cloud density for best resolution in the 3D mesh. Enhancements to the Inspection workflow The 3D Inspection workflow, new at version 2023.2, has now been improved regarding the accuracy of inspection features created in 3D space through multisketch editing. After the image adjustment has been run, when users draw a sketch on multiple images, Drone2Map will automatically correlate between images to improve the accuracy of the 3D features. We’ve also enabled faster access to the inspection workflow. The full 3D editing capabilities of an inspection session will require that the block adjustment step has been completed, but for time critical image inspections, users can now perform an inspection without running any processing – simply create the project and proceed immediately to inspection. In this rapid workflow, the observations cannot be placed into 3D space, but users can review the drone imagery and generate a report in a matter of minutes. Catalog datasets are now time enabled Another of our features introduced in a previous version has been improved for users with multi-temporal datasets. For those who have embraced the Catalog Datasets for data sharing and project management, any region of interest showing layers captured at different times will now be automatically time enabled, enabling users to move through time for improved understanding and analysis. The time-enabled catalog can also be combined with other functionality such as the built-in animation tools to quickly create a video demonstrating, for example, the progress of construction for a new building. Adding map notes into catalog datasets The supported layer types for catalog datasets continue to grow with the addition of map note layers. Map note layers in a catalog dataset function in the same manner as other catalog layers and can be loaded into a map or shared to ArcGIS Online or ArcGIS Enterprise. Area and distance measurements in 2D and 3D Drone2Map continues to benefit from the extensive functionality in the entire ArcGIS System. Measurements of distances and areas within a Drone2Map project can now be completed in both 2D and 3D. You’ll find the “Measure” toolbox now has sections for the 2D and 3D tools: As an example, if you need to calculate the straight-line distance across a drainage canal, or the length of cable that would be dropped down into the canal to make the crossing, you can make measurements in 3D by including the DEM, or strictly in 2D (planimetric) based on your project requirements. Example showing both 2D and 3D distance measurements 3D profile showing the depth of the drainage canal (viewed in the 3D scene) Improvements for thermal infrared imagery In our prior release, we enabled creation of True Orthos from thermal infrared (IR) sensors. In version 2024.1, for those flying DJI drones with thermal IR cameras, pixel values can now be reported in temperature units (degrees Celsius or Fahrenheit). Note that installation of an additional software package is required to add this support for DJI hardware – see your MyEsri account and you can read more in this blog. DJI Zenmuse H20T Thermal True Orthomosaic processed in Drone2Map 2024.1 Smart processing improvements Our development team has applied a great effort in this release to help users understand and avoid the most common problems encountered when working with a large variety of drones and conditions. ArcGIS provides support for nearly every known coordinate system, but sometimes users are unsure of coordinate transformations that may be required for their project data. In Drone2Map version 2024.1, the Select Transformation drop-down list now displays messages that indicate whether any transformation is needed, which default transformation is being applied, or whether a transformation is needed but not found. The ArcGIS coordinate system data can be installed if necessary for additional transformations. Two additional information messages relate to helping ensure horizontal and vertical accuracy. Our typical best practice advice is to always use Ground Control Points (GCPs), but with the increased use of high accuracy GPS in form of RTK or PPK, attempting to add control can negatively impact processing. Drone2Map 2024.1 will now warn users who attempt this, and advise them to define GCPs to be Check Points (for verifying post-processing accuracy). The additional informational message, related to vertical accuracy, is to warn users if their drone altitude values appear to be incorrect. This is a very common situation for many commercial drones, and the software will compare the drone’s reported Z values to the elevation of the project site to notify the user of expected errors. Learning resources accessible from the app The processing report now includes hyperlinks in each section title of the report. Clicking a link takes you to the relevant help topic to learn more about that subject. New tutorials and blogs have been published that focus on some of the most requested subjects. Some of them are listed on the updated Drone2Map Resources page. Stay Connected If you have questions or ideas, we’d love to hear from you! Visit the Esri Community page and let us know what you think. If you’d like to stay up-to-date on the latest product news and announcements for Drone2Map, make sure to sign up to be on our email list.
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05-10-2024
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Gideon It sounds like you have not found our best practice advice for imagery at https://esriurl.com/ImageryWorkflows. You definitely should not use the Raster Dataset raster type - that will fail to include important metadata to properly configure the mosaic dataset for Landsat imagery. See the notes here https://doc.arcgis.com/en/imagery/workflows/resources/managing-medium-resolution-satellite-data.htm and specifically the recommended sample Python scripts for managing Landsat 8 scenes . Cody B.
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04-25-2024
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para JairoCordero Por favor, perdone mi mal español. Usé https://translate.google.com/. Solicitaste ayuda para crear el "conjunto de datos ráster", pero creo que te refieres al "conjunto de datos en mosaico". El dataset de mosaico es una estructura de datos específica en ArcGIS para acceder a imágenes y se utiliza para administrar imágenes para visualización estéreo. El dataset de mosaico se crea dentro de una geodatabase y se vincula a las imágenes de origen. Las imágenes de origen no tienen que estar dentro de la geodatabase. Puede comenzar aquí con respecto a cómo crear el conjunto de datos de mosaico https://pro.arcgis.com/en/pro-app/latest/help/data/imagery/creating-a-mosaic-dataset-pro-.htm y tenga en cuenta Tendrá que utilizar el "Tipo de ráster" adecuado para agregar imágenes junto con datos de orientación para habilitar la capacidad de visualización estéreo. Si está utilizando imágenes de satélite, el tipo de ráster tendrá el nombre del satélite. Si está utilizando imágenes de una cámara digital, el tipo de ráster debe aparecer aquí https://pro.arcgis.com/en/pro-app/latest/help/data/imagery/aerial-imagery-raster-types.htm Si está utilizando imágenes de drones o películas históricas escaneadas, háganoslo saber y le podremos asesorar más. Cuando tenga un dataset de mosaico configurado correctamente, puede calcular pares de imágenes para visualización estéreo usando esta ayuda https://pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/build-stereo- modelo.htm Cody B.
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04-06-2024
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Guy did you check the environment variable for resampling method? https://pro.arcgis.com/en/pro-app/latest/tool-reference/environment-settings/resampling-method.htm Usage notes The nearest neighbor option should be used for categorical data, since no new values are created. Be sure to use nearest neighbor. If your 4 rasters are not perfectly aligned at the pixel level, the software will resample pixel values. If this doesn't solve it, could you look at pixel values between input and output and give us a specific response e.g. "lower right pixel in the input (last pixel at lower right) has pixel value 13, but in output it's 15..." Cody B.
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03-05-2024
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I'm glad you have usable results, but for future reference I recommend you always use ground control. (Even those of you that have an RTK/PPK drone, ground control is not technically NEEDED, but we still recommend using measured points as Check points - withheld from the aerotriangulation - to verify accuracy). If you don't have accurately surveyed points, you can extract points from the Esri imagery basemap, and that will include Z values from the ArcGIS Online world terrain to ensure you get the proper Z values. Two caveats with using control from the Esri basemaps: Our basemaps are compiled from multiple sources, and we cannot provide an accuracy statement for the horizontal positions. The same is true for the DEMs used to compile the world terrain, so it's generally good everywhere but we do sometimes discover errors in the DEMs - sometimes very localized - so multiple points and careful QC are still recommended. Cody B.
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