kopia lustrzana https://github.com/OpenDroneMap/ODM
31 wiersze
1.1 KiB
Markdown
31 wiersze
1.1 KiB
Markdown
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# NDVI
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This script produces a NDVI raster from a CIR orthophoto (odm_orthophoto.tif in your project)
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## Requirements
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* python_gdal package from apt
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* numpy python package (included in ODM build)
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## Usage
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```
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ndvi.py [-h] [--overwrite] <orthophoto.tif> N N <outfile.tif>
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positional arguments:
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<orthophoto.tif> The CIR orthophoto. Must be a GeoTiff.
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N NIR band number
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N Vis band number
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<outfile.tif> The output file. Also must be in GeoTiff format
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optional arguments:
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-h, --help show this help message and exit
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--overwrite, -o Will overwrite output file if it exists.
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```
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**Argument order matters! NIR first, then VIS**
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## Examples:
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Use the [Seneca](https://github.com/OpenDroneMap/odm_data_seneca) dataset for a good working CIR. The band order for that set is NIR-G-B, so you will want to use bands 1 and 2 for this script. After running ODM, the command goes as follows:
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`python ndvi.py /path/to/odm_orthophoto.tif 1 2 /path/to/ndvi.tif`
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The output in QGIS (with a spectral pseudocolor): 
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