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Processing Landsat 8 Tiles into NDVI, EVI, and SATV via Python
Landsat 8 Scene Processing
Developing RGB, NDVI, EVI, and SATV
Landsat 8 Info
Landsat 8 was launched Febuary 11, 2013 to fill the data gap left by Landsat4/5(RIP) and the partially functioning Landsat 7. Landsat 8 provides 11 bands ranging in spectrums from visible light, near infrared, and to thermal energy.
| Band # | Purpose | Resolution |
|---|---|---|
| 1 | Coastal/Aerosol: Deep Blues\Violets | 30m |
| 2 | Visible Light: Blue | 30m |
| 3 | Visible Light: Green | 30m |
| 4 | Visible Light: Red | 30m |
| 5 | Near Infrared NIR: Vegetation | 30m |
| 6 | Shortwave Infrared SWIR: Soils\Geology | 30m |
| 7 | Shortwave Infrared SWIR: Soils\Geology | 30m |
| 8 | Panchromatic: RGB Together | 15m |
| 9 | High Reflectivity: Cirrus Clouds | 30m |
| 10 | Thermal Infrared TIRS 1: Heat | 100m |
| 11 | Thermal Infrared TIRS 2: Heat | 100m |
Sources:
Mapbox: Putting Landsat 8 Bands to Work USGS: Landsat Data Product USGS: Landsat Band Desigination NASA: Landsat DCM
Downloading the Scene Data
After the scene has been downloaded, you will have a compressed file ranging from 750mb to a 1gb. To uncompress the file:
$ tar -zxvf LC80370372013169LGN00.tar.gz
The uncompressed bundle produces 13 files: 11 Tiff files for each Band, a BQA Tiff for scene's quality assesment, and a *MTL.txt file with metadata. The MTL.txt will be used to complete the calculations in processing a scene correctly.
Running the Script
From the terminal, change to the script's directory and use the python interpreter to run the script. Designate the full path of the Landsat's MTL.txt file.
$ python landsat_proc.py home/landsat/LC80370372013169LGN00_MTL.txt
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