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Jeppe I have never heard of a "bird view" setting for the lens - am I correct that is a fisheye (very wide angle) view? Yes, that would have a dramatic effect on the processing especially if the software did not know the lens could be changed - we may be using the wrong camera calibration parameters. My advice: use the orthomosaic created in this project LOOP3_st303_st308_20190709 to provide ground control before processing your other date over the same site Cody
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10-14-2019
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Jeppe Do you have adequate overlap (~70%) on the images in the southern half of your project? I know "go back out and capture more images" may not be welcome advice for THIS project, but in the future, if you have projects like this where the images look very similar (parallel rows in an agricultural field) it is VERY helpful if you can fly your project normally, then (or first) fly to maximum altitude and capture the full project at low resolution over the full site, and process all together in one project. (recalculate a new set of flightlines for the high altitude overpass) As noted in my other response, it's also recommended to always use ground control - I think that would help in this project as well, presuming you have adequate overlap and can find some approximate ground control from the imagery basemap. Cody B
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10-10-2019
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There are no monthly limits. As of today (Drone2Map version 2.0) the only licensing available is "named user" which must authenticate through ArcGIS Online or ArcGIS Portal, but there are no limits on # of projects or # of images. At the 2.1 release we will add the "Single Use" license option which will not need to authenticate with a portal. Cody B
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10-07-2019
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Tory I can't speak for Martin Isenburg, but that licensing comment indicates if you are using the tools in an office environment, toward a commercial work objective (even if the lidar or DSM/DTM you're creating will not be sold as a product), you'd need to purchase a license. It's free only for academic use (research/teaching) or home ("just for fun") use... I am curious about how it appeared to work once but only later showed the diagonal lines. Are those screenshots from ArcMap? Cody B
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10-04-2019
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Ryan I'm guessing you're not familiar with the Mosaic Dataset - please see link above. (I was not referring to the GP tool "Mosaic To New Raster" - that creates a new raster file where any pixels hidden in the overlap are gone forever) The Mosaic Dataset is a virtual mosaic, managed in a geodatabase (the images are not in the GDB, just the MD), and the Footprint is a built-in component that defines the extents of each individual raster. Look for "Build Footprints", use Method = "None" and use the Shrink Distance parameter to reduce the size of the Footprints (units are meters). Then make sure the MD property under Defaults for "Clip to footprint?" is enabled. Note you can edit them manually but since you have so much overlap you should be able to shrink them by ~500 to 1000 meters (a guess) Cody
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10-02-2019
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Based on what you’ve said, I’ll give abbreviated advice At a high level, there are three primary options, described here only briefly. It sounds like you’re in the first case, and for the benefit of other readers who may see this, I'll describe the two other options afterward: Presuming a low number of photos and you do not need high accuracy, then use the Georeferencing tools. Note this will not orthorectify the imagery (will not fit imagery to the terrain). Specifics: Georeference each image independently. Start with first order transformation to get started, but depending on your ability to find ad-hoc control points, use higher level transforms such as spline (a minimum of 10 tie points required to enable this transform). For reasonable accuracy you will want control points distributed around image and on terrain extremes. Use “Save” which will georeference using tie points in a small *.aux.xml file that can be edited (improved) later if necessary. In this scenario recommend you do not use “Save As” which creates a new image file. Create a mosaic dataset to dynamically mosaic the images together. (any image can be viewed, so pixels in overlap are not lost). Use Footprint feature class to clip the black collar (pixels not permanently removed, just hidden) For highest accuracy, scalable to large blocks of film, users should apply photogrammetry via the Ortho Mapping capabilities (ArcGIS Pro Advanced license, Scanned Film workflow) Should have the camera report to define parameters such as focal length - this will most likely be available from USGS Earth Explorer Need to create* a table with approximate exterior orientation listing the (x,y,z) location and camera heading angles (kappa) for each image. This can be estimated if necessary. May be created manually for small to medium size blocks of film. Need to provide a DEM – this can be exported from ArcGIS Online World Terrain image service, use an existing DEM, or generate a DEM from the imagery after block adjustment If you have limitations on inputs for #2 for Ortho Mapping (e.g. no exterior orientation table and/or not able to see fiducial marks on film) use the Drone workflow in Ortho Mapping to generate an approximate mosaic. For some use cases, this may produce adequate products. For users seeking the highest accuracy results, use results of this process as input to the Scanned Film workflow in Ortho Mapping We’ll be publishing a deeper discussion on this on http://esriurl.com/ImageryWorkflows soon - I will plan to update this post when that is published. Cody B
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10-02-2019
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Ryan (I took the liberty of editing your title so that others may find this post - I hope you don't object) Short answer, yes. Unfortunately I'm rushed for time today, so I may not be able to answer more fully until tomorrow, but yes you can do this and we can provide a workflow. My recommendations will depend on how many photos you have, and what accuracy you seek to achieve. If your screenshot shows the entire collection and you do NOT expect high accuracy, the easiest approach is to use the Georeferencing tools. (see Help) If you have more photos and/or you're seeking high accuracy, you'll use Ortho Mapping (ArcGIS Pro Advanced license required, Pro 2.4 recommended). In that case, the black collars will be critically important, to enable you to find the fiducial marks around the perimeter of the image. Check back here and I'll provide more information soon Cody B.
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10-01-2019
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Jeff I think your new raster is probably fine but the map is applying an automatic histogram stretch. (that's what Peter meant by "... the default renderer uses the stats to display the image. " If you go to the layer in the Table of Contents, right click, properties (like shown in your screenshot RasterSymbology2) and set Stretch to "none", it should look like the original. If I'm correct and this fixes it, if you right click on the file in Catalog (not Table of Contents), go to Properties, and set Source Type to Processed this shouldn't reoccur each time you load it into the map. On a separate topic, I usually recommend against storing rasters inside geodatabases - is there a compelling reason you're doing that? Cody B
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09-25-2019
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Pete sorry, no, I apologize for confusing things. The segmentation tools require EITHER the Image Analyst Extension OR the Spatial Analyst Extension. Segmentation—ArcGIS Pro | ArcGIS Desktop You have the license you need... Cody B
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09-18-2019
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Pete The answer to "will the software consider more than three bands?" is yes. Our classification tools work on multispectral data. Note that we also have segmentation tools, and running segmentation *is* limited to 3 bands, so you'd use the 3 band files. You'd need the Image Analyst extension to run segmentation, so you may not have that license...? As to whether the 4 band data will give better results, it's impossible to say for sure. For most subject matter and environmental conditions, the green and blue are highly correlated, so the 3 band image (presuming NIR, Red Green) may work well for you. Presuming this is high resolution data (pixel size less than 5 meters), my feeling is you will have some success with pixel classification, but the segmentation tools will be much more successful at identifying trees/shrubs - if you don't have the Image Analyst extension, you could request a free trial here. Cody B.
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09-18-2019
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Jarrett In Drone2Map 2.0, the software will automatically apply the rolling shutter correction if the camera is known to have a this type of shutter. Cody B.
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09-17-2019
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Dale Unfortunately no, this tool is not accessible via Drone2Map. The tabular data values can be viewed, but you need ArcGIS Pro (or ArcMap) with any license level to ingest them into a feature class. Cody B.
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09-10-2019
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Afsi The recommended approach for publishing imagery to be hosted in ArcGIS Online is described in the Imagery Workflows in this section Serving Cached Imagery—Imagery Workflows | ArcGIS - this includes downloadable scripts to automate the process. Cody B.
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08-26-2019
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See https://doc.arcgis.com/en/drone2map/help/indices.htm
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07-23-2019
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They're using an open source image software library that adds an extra band to each image, usually with a NoData mask with each pixel written as 0 or 255. Notice band 6 in your first screenshot - that's the extra band. In what should be single band images you get 2 bands. just ignore band 2 in all of the single band reflectance images. You can use the image analysis window and "Composite Bands" function to combine 5 single band images into a 5 band output. Make sure your 5 input bands are in the correct order in the table of contents.
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07-17-2019
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