gevi | R Documentation |
Greenness Vegetation Index is obtained from the Tasseled Cap Transformation.
gevi(img, sat = "Landsat8OLI")
img |
It could be RasterStack or RasterBrick. |
sat |
Specify satellite and sensor type (Landsat5TM, Landsat7ETM or Landsat8OLI). |
Currently implemented for satellites such as Landsat-4 TM, Landsat-5 TM, Landsat-7 ETM+, Landsat-8 OLI and Sentinel2. The input data must be in top of atmosphere reflectance (toa). Bands required as input must be ordered as:
Type of Sensor | Name of bands |
Landsat4TM | blue,green,red,nir,swir1,swir2 |
Landsat5TM | blue,green,red,nir,swir1,swir2 |
Landsat7ETM+ | blue,green,red,nir,swir1,swir2 |
Landsat8OLI | blue,green,red,nir,swir1,swir2 |
Landsat8OLI-Li2016 | coastal,blue,green,red,nir,swir1,swir2 |
Sentinel2MSI | coastal,blue,green,red,nir-1,mir-1,mir-2 |
library(ForesToolboxRS)
library(raster)
# Load an example dataset
data(img_l8)
# Tasseled-cap using Landsat8OLI
gevi_index <- gevi(img = img_l8 / 10000, sat = "Landsat8OLI")
# Improving the plot histogram
gevi_index[gevi_index > 1] <- NA
gevi_index[gevi_index < -1] <- NA
plot(gevi_index)
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