rindcalc is a python package created to calculate Landsat-8 indices.
Project description
rindcalc
Raster Index Calculator
rind calc is a python package created to allow complete raster index calculation using Landsat-8 using gdal and numpy. Landsat bands are pulled directly from file downloaded from USGS containing all bands os landsat scene. Since rindcalc only requires the file in which Landsat-8 bands are contained instead of each individual band to be specified, it allows for easy, quick, and seamless index calculations from Landsat-8 imagery.
Dependencies
- GDAL (v 3.0.0 or greater)
- numpy (v 1.0.0 or greater)
Installation
Windows
pip install rindcalc
For Windows installation gdal wheels must be installed first.
Modules
landsat_dir = Landsat-8 folder that contains all bands
*_out = out file raster will be saved as
i.e. Landsat-8 folder structure:
.
|--LC08_L1TP_091086_20191222_20191223_01_RT Landsat Folder ex. #1
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B1.TIF
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B2.TIF
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B3.TIF
| |-- ...
|-- 2019_12_22 Landsat Folder ex. #2
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B1.TIF
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B2.TIF
| |-- LC08_L1TP_091086_20191222_20191223_01_RT_B3.TIF
| |-- ...
- AWEIsh(landsat_dir, aweish_out)
- NDMI(landsat_dir, ndmi_out)
- MNDWI(landsat_dir, mndwi_out)
- NDVI(landsat_dir, ndvi_out)
- GNDVI(landsat_dir)
- SAVI(landsat_dir, soil_brightness, savi_out)
- NDBI(landsat_dir, ndbi_out)
- NDBaI(landsat_dir, ndbai_out)
- NBLI(landsat_dir, nbli_out)
- EBBI(landsat_dir, ebbi_out)
- NBRI(landsat_dir, nbri_out)
EX:
import rindcalc as rc
landsat_dir = 'C:/.../.../LC08_L1TP_091086_20191222_20191223_01_RT'
ndvi_out = 'C:/.../.../NDVI_1.tif'
rc.NDVI(landsat_dir, ndvi_out)
OR:
import rindcalc as rc
rc.NDVI(landsat_dir = 'C:/.../.../2019_12_22', ndvi_out = 'C:/.../.../NDVI_2.tif')
Indices
Water
-
AWEIsh = ((Blue + 2.5 * Green - 1.5 * (NIR + SWIR1) - 0.25 * SWIR2)) / (Blue + Green + NIR + SWIR1 + SWIR2)
-
NDWI = ((nir_band - swir1_band) / (nir_band + swir1_band))
-
MNDWI = ((Green - SWIR1) / (Green + SWIR1))
Moisture
- NDMI = ((NIR - SWIR1) / (NIR + SWIR1))
Vegetation
-
NDVI = ((NIR - Red) / (NIR + Red))
-
Green NDVI (GNDVI) = ((nir_band - green_band) / (nir_band + green_band))
-
SAVI = ((NIR - Red) / (NIR + Red + L)) x (1 + L)
- L = Soil Brightness Factor
Landscape
-
NDBI = (SWIR1 - NIR) / (SWIR1 + NIR)
-
NDBaI = ((SWIR1 - TIR) / (SWIR1 + TIR))
-
NBLI = ((Red - TIR) / (Red + TIR))
-
EBBI = ((swir1_band - nir_band) / (10 * (np.sqrt(swir1_band + tir_band))))
Fire
- NBRI = ((nir_band - swir2_band) / (nir_band + swir2_band))
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