coldTs2: Optional Automatic computation of cold pixel Radiometric...
In gowusu/sebkc: The Surface Energy Balance and Crop Coefficient Estimation with R

coldTs2

R Documentation

Optional Automatic computation of cold pixel Radiometric Surface Temperature

Description

This function computes temperature of a cold pixel based on NDVI, Surface Temperature, DEM and albedo. The main difference with coldTs is that preference is given to temperature selection before considering NDVI and albedo selection. Moreover, this is a simple end member selection where no clustering is done.

Usage

coldTs2(Ts, NDVI, albedo = NULL, sunangle = NULL, DEM = NULL,
  extent = "interactive", upper = 0.2, lower = 0.1, NDVI.probs = 0.95,
  plot = TRUE, layout = "portrait", draw = "poly", folder = NULL,
  welev = NULL)

## Default S3 method:
coldTs2(Ts = NULL, NDVI, albedo = NULL, sunangle = NULL,
  DEM = NULL, cluster = 10, extent = "interactive", upper = 0.2,
  lower = 0.1, NDVI.probs = 0.6, plot = TRUE, layout = "portrait",
  draw = "poly", folder = NULL, welev = NULL)

Arguments

`Ts`	A RasterLayer data that indicates radiometric surface temperature values from remote sensing image, preferably in Kelvin (K). You can also point to raster file on your computer.
`NDVI`	A RasterLayer data that indicates NDVI (Normalized Difference Vegetation Index) values. You can also point to a file on your computer.
`albedo`	A RasterLayer data that has albedo values. You can also provide file path or location on your computer
`sunangle`	sun angle (degree) above the horizon.
`DEM`	A digital elevation model[m]
`extent`	A subset of the raster file than include c(xmin, xmax; serastercond row: ymin, ymax). You can set it to "interactive" where you can digitise polygon. You can set to "auto" where it will be automatically generated. See layout parameter below for more details. see `extent`
`upper`	The quantile probability at which NDVI should be included in the selection project. It ranges from 0-1. The default is 0.95
`lower`	The quantile probability at which Ts should be included in the selection project.The default is 0.2
`NDVI.probs`	The probability of selecting quantile NDVI that is above the threshold. The value of 0.6 means only NDVI values that is above 60 the analyses.
`plot`	logical:TRUE or FALSE. To indicate if histograms or triangle should be plotted
`layout`	character. It takes "portrait" or "landscape". If extent is set to "auto" the middle part of the image will be used so that NAs can be avoided. You indicate whether the automatic selection should indicate west-east (landscape) or north-south direction (portrait)
`draw`	interactive. The method of digitisation if extent is set "auto". It takes "poly" or "rect"
`folder`	An original directory of the images that contains all landsat 5,7 or 8 bands and metadata. At the moment only Landsat folder is supported
`welev`	Weather station elevation in meters
`cluster`	numeric, a value indicating the number of clusters.

Details

The function first divides the selected area into a number of clusters. The mean and standard deviations are computed. The cluster means with the lowest standard devaitions and qualifying for upper (NDVI) and lower (Ts) limits (see above) are selected. The provided upper and lower probabilities are also used to select the final Ts.

Value

Ts: The selected or input Ts [K]
Tscold: The Temperature of cold pixel [K]
TC: The average temperature of the cold pixels [K]
x: The x coordinate of the cold pixel
y: The y coordinate of the cold pixel
xycold: combined x and y coordinates
candidates: The similar candidates' pixels that can be used

Author(s)

George Owusu

References

Allen, R. G., Burnett, B., Kramber, W., Huntington, J., Kjaersgaard, J., Kilic, A., Kelly, C., & Trezza, R. 2013. Automated Calibration of the METRIC-Landsat Evapotranspiration Process. JAWRA Journal of the American Water Resources Association, 49(3): 563-576.

Examples

## Not run: 
#using landsat folder
folder=system.file("extdata","stack",package="sebkc")
modcold=coldTs2(folder=folder,welev=170,extent="auto")

#use object of  
folder=system.file("extdata","stack",package="sebkc")
data=landsat578(data=folder, welev=362)
modcold=coldTs2(folder=data,welev=170,extent="auto",cluster=3)

modcoldTs2=coldTs2(data,welev=170,extent="auto",cluster=3)

#using input different input data
albedo=raster(system.file("extdata","albedo.grd",package="sebkc"))
Ts=raster(system.file("extdata","Ts.grd",package="sebkc"))
NDVI=raster(system.file("extdata","NDVI.grd",package="sebkc"))
#simulate with default parameters without albedo
modcold=coldTs2(Ts=Ts,NDVI=NDVI,sunangle=50.7)
#simulate with albedo but set extent to "auto" and cluster to 7
modcold=coldTs2(Ts=Ts,NDVI=NDVI,albedo=albedo,sunangle=50,cluster=7,
extent="auto")

## End(Not run)

gowusu/sebkc documentation built on July 28, 2023, 11:44 a.m.