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Copy file name to clipboardExpand all lines: src/content/docs/ground-control-points.md
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@@ -7,7 +7,7 @@ Ground control points are useful for correcting distortions in the data and refe
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A Ground Control Point (GCP) is a position measurement made on the ground, typically using a high precision GPS.
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Ground control points can be set existing structures like pavement corners, lines on a parking lot or contrasting color floor tiles, otherwise can be set using targets placed on the ground.
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Ground control points can be set on existing structures like pavement corners, lines on a parking lot or contrasting color floor tiles, otherwise can be set using targets placed on the ground.
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Targets can be purchased or built with an ample variety of materials ranging from bucket lids to floor tiles.
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Procure an evenly horizontal distribution of the GCPs within the project, covering high and low elevations. A minimum of 5 GCP works for most of the jobs, and for larger projects 8–10 are sufficient. Locate some points near the corners and others in the center, considering that GCP spacing should be larger than the image footprint so that you can't see more than one GCP in a single image.
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In order to ensure each GCP are found in at least 5 images, separate the points 10 to 30 meters from the perimeter of the project. This distance is dependent of the overlapping, so increasing overlapping should reduce the required distance from the perimeter.
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In order to ensure GCPs are found in at least 5 images, separate the points 10 to 30 meters from the perimeter of the project. This distance is dependent on the overlap, so increasing overlap should reduce the required distance from the perimeter.
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### GCP File Format
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### What to Expect
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In general terms, one can expect the relative accuracy to be in the order of 1 to 3 times the average GSD for the dataset. And as for the absolute accuracy, one must consider that it is dependent of the GPS unit mounted in the UAV but the horizontal accuracy of a standard GPS is usually in the range of 2 to 6 meters and the vertical accuracy between 3 to 4 times the horizontal accuracy.
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In general terms, one can expect the relative accuracy to be in the order of 1 to 3 times the average GSD for the dataset. And as for the absolute accuracy, one must consider that it is dependent on the GPS unit mounted in the UAV but the horizontal accuracy of a standard GPS is usually in the range of 2 to 6 meters and the vertical accuracy between 3 to 4 times the horizontal accuracy.
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When using GCP, absolute accuracy can be improved to 2.5 times GSD for the horizontal accuracy and 4 times the GSD for the vertical accuracy (Madawalagama 2016).
|`--node-dir`| Path where temporary files will be stored during processing when using the default node. Safe the change. |
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|`--media-dir`| Where all files related to a project and task are permanently stored. Try not change this folder after the first startup, unless as part of a [migration](#backup-and-restore). |
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|`--node-dir`| Path where temporary files will be stored during processing when using the default node. Safe to change. |
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|`--media-dir`| Where all files related to a project and task are permanently stored. Try not to change this folder after the first startup, unless as part of a [migration](#backup-and-restore). |
Copy file name to clipboardExpand all lines: src/content/docs/options-flags.md
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## force-gps
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Use images' GPS exif data for reconstruction, even if there are GCPs present.This flag is useful if you have high precision GPS measurements. If there are no GCPs, this flag does nothing.
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Use images' GPS exif data for reconstruction, even if there are GCPs present.This flag is useful if you have high precision GPS measurements. If there are no GCPs, this flag does nothing.
Copy file name to clipboardExpand all lines: src/content/docs/quickstart.md
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<asideclass="notice">Most of the examples in this document use <ahref="http://docs.python-requests.org/en/latest/index.html"target="_blank">requests</a>. Make sure it's installed before running any code:<br/><br/>
Copy file name to clipboardExpand all lines: src/content/docs/tutorials/large-datasets.md
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### Getting Started with Distributed Split-Merge
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The first step is start ClusterODX:
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The first step is to start ClusterODX:
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```bash
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docker run -ti -p 3001:3000 -p 8080:8080 webodm/clusterodx
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### Data Collection Effort, 2D and 2.5D Products
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For best in class results 2D and 2.5D products and 5cm resolution, it is feasible to collect 2–4 km² per person, per day. This requires the following set of flights:
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For best in class results for 2D and 2.5D products and 5cm resolution, it is feasible to collect 2–4 km² per person, per day. This requires the following set of flights:
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- 70-80% overlap slightly off-nadir (5-10 degree off nadir)
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