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luzpaz 1bec793f9d Fix typos (#1497 ) * Fix typos Found via `codespell -q 3 -L lod,ned,nnumber` * Fix typo in file name reference		2022-07-10 15:02:10 -04:00
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README.md	Add NDVI contrib module	2017-02-27 10:07:07 -05:00
agricultural_indices.py	Fix typos (#1497 )	2022-07-10 15:02:10 -04:00
ndvi.py	Add NDVI contrib module	2017-02-27 10:07:07 -05:00
rename_sentera_agx710_multispectral_tif.py	Fix typos (#1497 )	2022-07-10 15:02:10 -04:00

README.md

NDVI

This script produces a NDVI raster from a CIR orthophoto (odm_orthophoto.tif in your project)

Requirements

python_gdal package from apt
numpy python package (included in ODM build)

Usage

ndvi.py [-h] [--overwrite] <orthophoto.tif> N N <outfile.tif>

positional arguments:
  <orthophoto.tif>  The CIR orthophoto. Must be a GeoTiff.
  N                 NIR band number
  N                 Vis band number
  <outfile.tif>     The output file. Also must be in GeoTiff format

optional arguments:
  -h, --help        show this help message and exit
  --overwrite, -o   Will overwrite output file if it exists.

Argument order matters! NIR first, then VIS

Examples:

Use the 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:

python ndvi.py /path/to/odm_orthophoto.tif 1 2 /path/to/ndvi.tif

The output in QGIS (with a spectral pseudocolor):