tct: Tasseled Cap Transformation (TCT)

In ytarazona/ForesToolboxRS: Remote Sensing Tools for Forest Monitoring

Tasseled Cap Transformation (TCT)

Description

The Tasseled-Cap Transformation is a linear transformation method for various remote sensing data. Not only can it perform volume data compression, but it can also provide parameters associated with the physical characteristics, such as brightness, greenness and wetness indices.

Usage

tct(img, sat = "Landsat8OLI")

Arguments

img	It could be RasterStack or RasterBrick.
sat	Specify satellite and sensor type (Landsat5TM, Landsat7ETM or Landsat8OLI).

Note

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

References

Crist, E.P., R. Laurin, and R.C. Cicone. 1986. Vegetation and soils information contained in transformed Thematic Mapper data. Pages 1465-1470 Ref. ESA SP-254. European Space Agency, Paris, France. http://www.ciesin.org/docs/005-419/005-419.html.

Baig, M.H.A., Shuai, T., Tong, Q., 2014. Derivation of a tasseled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters, 5(5), 423-431.

Li, B., Ti, C., Zhao, Y., Yan, X., 2016. Estimating Soil Moisture with Landsat Data and Its Application in Extracting the Spatial Distribution of Winter Flooded Paddies. Remote Sensing, 8(1), 38.

Examples

library(ForesToolboxRS)
library(raster)

# Load an example dataset
data(img_l8)

# Tasseled-cap using Landsat8OLI
sat_tct <- tct(img = img_l8, sat = "Landsat8OLI")
plotRGB(sat_tct, 1, 2, 3, stretch = "lin")

ytarazona/ForesToolboxRS documentation built on Nov. 23, 2024, 6:03 p.m.