Title: | Land Surface Temperature Retrieval for Landsat 8 |
Version: | 2.0.0 |
Description: | Calculates Land Surface Temperature from Landsat band 10 and 11. Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. Jimenez-Munoz JC, Cristobal J, Sobrino JA, et al (2009). <doi:10.1109/TGRS.2008.2007125>. Land surface temperature retrieval from LANDSAT TM 5. Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004). <doi:10.1016/j.rse.2004.02.003>. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Srivastava PK, Majumdar TJ, Bhattacharya AK (2009). <doi:10.1016/j.asr.2009.01.023>. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Valor E (1996). <doi:10.1016/0034-4257(96)00039-9>. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. Van de Griend AA, Owe M (1993). <doi:10.1080/01431169308904400>. Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method. Yu X, Guo X, Wu Z (2014). <doi:10.3390/rs6109829>. Calibration and Validation of land surface temperature for Landsat8-TIRS sensor. Land product validation and evolution. Skoković D, Sobrino JA, Jimenez-Munoz JC, Soria G, Julien Y, Mattar C, Cristóbal J. (2014). |
Depends: | R (≥ 3.5.0) |
Imports: | terra |
License: | AGPL-3 |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.2 |
NeedsCompilation: | no |
Packaged: | 2024-11-19 07:56:05 UTC; Bappa |
Author: | Bappa Das |
Maintainer: | Bappa Das <bappa.iari.1989@gmail.com> |
Repository: | CRAN |
Date/Publication: | 2024-11-19 09:20:02 UTC |
At-Sensor Temperature or brightness temperature
Description
This function calculates at-Sensor Temperature or brightness temperature
Usage
BT(Landsat_10, Landsat_11)
Arguments
Landsat_10 |
SpatRaster object, Landsat band 10 |
Landsat_11 |
SpatRaster object, Landsat band 11 |
Value
A list containing brightness temperature corresponding to Landsat band 10 and Landsat band 11
Examples
a <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(a) = runif(10000, min=27791, max=30878)
b <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(b) = runif(10000, min=25686, max=28069)
BT(Landsat_10 = a, Landsat_11 = b)
Land Surface Emissivity according to Skokovic et al. 2014
Description
This function calculates Land Surface Emissivity according to Skokovic et al. 2014
Usage
E_Skokovic(red = red, NDVI = NDVI, band = band)
Arguments
red |
SpatRaster object, red band of remote sensing imagery |
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
band |
A string specifying which Landsat 8 thermal band to use. It can be "band 10" or "band 11" |
Value
SpatRaster
References
Skoković, D., Sobrino, J.A., Jimenez-Munoz, J.C., Soria, G., Julien, Y., Mattar, C. and Cristóbal, J., 2014. Calibration and Validation of land surface temperature for Landsat8-TIRS sensor. Land product validation and evolution.
Examples
red <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(red) = runif(10000, min=0.1, max=0.4)
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
E_Skokovic(red = red, NDVI = NDVI, band = "band 11")
Land Surface Emissivity according to Sobrino et al. 2008
Description
This function calculates Land Surface Emissivity according to Sobrino et al. 2008
Usage
E_Sobrino(red = red, NDVI = NDVI)
Arguments
red |
SpatRaster object, red band of remote sensing imagery |
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
Value
SpatRaster
References
Sobrino, J.A., Jiménez-Muñoz, J.C., Sòria, G., Romaguera, M., Guanter, L., Moreno, J., Plaza, A. and Martínez, P., 2008. Land surface emissivity retrieval from different VNIR and TIR sensors. IEEE transactions on geoscience and remote sensing, 46(2), pp.316-327.
Examples
red <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(red) = runif(10000, min=0.1, max=0.4)
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
E_Sobrino(red = red, NDVI = NDVI)
Land Surface Emissivity according to Valor and Caselles 1996
Description
This function calculates Land Surface Emissivity according to Valor and Caselles 1996
Usage
E_Valor(NDVI)
Arguments
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
Value
SpatRaster
References
Valor, E. and Caselles, V., 1996. Mapping land surface emissivity from NDVI: Application to European, African, and South American areas. Remote sensing of Environment, 57(3), pp.167-184.
Examples
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
E_Valor(NDVI)
Land Surface Emissivity according to Van de Griend and Owe 1993
Description
This function calculates Land Surface Emissivity according to Van de Griend and Owe 1993
Usage
E_VandeGriend(NDVI)
Arguments
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
Value
SpatRaster
References
Van de Griend, A.A. and Owe, M., 1993. On the relationship between thermal emissivity and the normalized difference vegetation index for natural surfaces. International Journal of remote sensing, 14(6), pp.1119-1131.
Examples
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
E_VandeGriend(NDVI)
Land Surface Emissivity according to Yu et al. 2014
Description
This function calculates Land Surface Emissivity according to Yu et al. 2014
Usage
E_Yu(red = red, NDVI = NDVI, band = band)
Arguments
red |
SpatRaster object, red band of remote sensing imagery |
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
band |
A string specifying which Landsat 8 thermal band to use. It can be "band 10" or "band 11" |
Value
SpatRaster
References
Yu, X., Guo, X. and Wu, Z., 2014. Land surface temperature retrieval from Landsat 8 TIRS—Comparison between radiative transfer equation-based method, split window algorithm and single channel method. Remote sensing, 6(10), pp.9829-9852.
Examples
red <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(red) = runif(10000, min=0.1, max=0.4)
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
E_Yu(red = red, NDVI = NDVI, band = "band 11")
Mono window algorithm
Description
This function calculates Land Surface Temperature using mono window algorithm
Usage
MWA(BT = BT, tau = tau, E = E, Ta = Ta)
Arguments
BT |
SpatRaster object, brightness temperature |
tau |
Atmospheric transmittance |
E |
SpatRaster object, Land Surface Emissivity calculated according to Van de Griend and Owe 1993 or Valor and Caselles 1996 or Sobrino et al. 2008 |
Ta |
Mean atmospheric temperature (K) of the date when Landsat passed over the study area |
Value
SpatRaster
References
Qin, Z., Karnieli, A. and Berliner, P., 2001. A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International journal of remote sensing, 22(18), pp.3719-3746.
Examples
BTemp <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(BTemp) = runif(10000, min=298, max=305)
E <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(E) = runif(10000, min=0.96, max=0.99)
MWA(BT = BTemp, tau = 0.86, E = E, Ta = 26)
NDVI
Description
Function for NDVI calculation
Usage
NDVI(Red, NIR)
Arguments
Red |
SpatRaster object, red band of remote sensing imagery |
NIR |
SpatRaster object, NIR band of remote sensing imagery |
Value
SpatRaster
Examples
red <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(red) = runif(10000, min=0.1, max=0.4)
NIR <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NIR) = runif(10000, min=0.1, max=0.6)
NDVI(Red = red, NIR = NIR)
Proportion of vegetation or fractional vegetation cover
Description
Calculation of the proportion of vegetation or fractional vegetation cover from NDVI
Usage
Pv(NDVI, minNDVI, maxNDVI)
Arguments
NDVI |
SpatRaster object, NDVI calculated from remote sensing imagery |
minNDVI |
= 0.2 (Ref. Sobrino et al. 2004) |
maxNDVI |
= 0.5 (Ref. Sobrino et al. 2004) |
Value
SpatRaster
References
Sobrino, J.A., Jiménez-Muñoz, J.C. and Paolini, L., 2004. Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment, 90(4), pp.434-440.
Examples
NDVI <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(NDVI) = runif(10000, min=0.02, max=0.8)
Pv(NDVI = NDVI, minNDVI = 0.2, maxNDVI = 0.5)
Radiative transfer equation method
Description
This function calculates Land Surface Temperature using radiative transfer equation method
Usage
RTE(TIR = TIR, tau = tau, E = E, dlrad = dlrad, ulrad = ulrad, band = band)
Arguments
TIR |
SpatRaster object, Landsat band 10 or 11 |
tau |
Atmospheric transmittance |
E |
SpatRaster object, Land Surface Emissivity calculated according to Van de Griend and Owe 1993 or Valor and Caselles 1996 or Sobrino et al. 2008 |
dlrad |
Downwelling radiance calculated from https://atmcorr.gsfc.nasa.gov/ |
ulrad |
upwelling radiance calculated from https://atmcorr.gsfc.nasa.gov/ |
band |
A string specifying which Landsat 8 thermal band to use. It can be "band 10" or "band 11" |
Value
SpatRaster
References
Srivastava, P.K., Majumdar, T.J. and Bhattacharya, A.K., 2009. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in space research, 43(10), pp.1563-1574.
Examples
TIR <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(TIR) = runif(10000, min=27791, max=30878)
BT <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(BT) = runif(10000, min=298, max=305)
E <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(E) = runif(10000, min=0.96, max=0.99)
Ts_RTE <- RTE(TIR = TIR, tau = 0.86, E = E,
dlrad = 2.17, ulrad = 1.30, band = "band 11")
Single channel algorithm
Description
This function calculates Land Surface Temperature using single channel algorithm
Usage
SCA(TIR = TIR, tau = tau, E = E, dlrad = dlrad, ulrad = ulrad, band = band)
Arguments
TIR |
SpatRaster object, Landsat band 10 or 11 |
tau |
Atmospheric transmittance |
E |
SpatRaster object, Land Surface Emissivity calculated according to Van de Griend and Owe 1993 or Valor and Caselles 1996 or Sobrino et al. 2008 |
dlrad |
Downwelling radiance calculated from https://atmcorr.gsfc.nasa.gov/ |
ulrad |
upwelling radiance calculated from https://atmcorr.gsfc.nasa.gov/ |
band |
A string specifying which Landsat 8 thermal band to use. It can be "band 10" or "band 11" |
Value
SpatRaster
References
Jimenez-Munoz, J.C., Cristobal, J., Sobrino, J.A., Sòria, G., Ninyerola, M. and Pons, X., 2008. Revision of the single-channel algorithm for land surface temperature retrieval from Landsat thermal-infrared data. IEEE Transactions on geoscience and remote sensing, 47(1), pp.339-349.
Examples
TIR <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(TIR) = runif(10000, min=27791, max=30878)
E <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(E) = runif(10000, min=0.96, max=0.99)
Ts_SCA <- SCA(TIR = TIR, tau = 0.86, E = E,
dlrad = 2.17, ulrad = 1.30, band = "band 11")
Split-window algorithm
Description
This function calculates Land Surface Temperature using split-window algorithm
Usage
SWA(
TIR_10 = TIR_10,
TIR_11 = TIR_11,
tau_10 = tau_10,
tau_11 = tau_11,
E_10 = E_10,
E_11 = E_11
)
Arguments
TIR_10 |
SpatRaster object, Landsat band 10 |
TIR_11 |
SpatRaster object, Landsat band 11 |
tau_10 |
Atmospheric transmittance for Landsat band 10 |
tau_11 |
Atmospheric transmittance for Landsat band 11 |
E_10 |
SpatRaster object, Land Surface Emissivity for Landsat band 10 calculated according to Skokovic et al. 2014 or Yu et al. 2014 |
E_11 |
SpatRaster object, Land Surface Emissivity for Landsat band 11 calculated according to Skokovic et al. 2014 or Yu et al. 2014 |
Value
SpatRaster
References
Yu, X., Guo, X. and Wu, Z., 2014. Land surface temperature retrieval from Landsat 8 TIRS—Comparison between radiative transfer equation-based method, split window algorithm and single channel method. Remote sensing, 6(10), pp.9829-9852.
Examples
TIR_10 <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(TIR_10) = runif(10000, min=27791, max=30878)
TIR_11 <- terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(TIR_11) = runif(10000, min=25686, max=28069)
E_10 <- terra::rast(ncol=100, nrow=100)
set.seed(1)
terra::values(E_10) = runif(10000, min=0.96, max=0.99)
E_11 <-terra::rast(ncol=100, nrow=100)
set.seed(2)
terra::values(E_11) = runif(10000, min=0.96, max=0.99)
Ts_SWA <- SWA(TIR_10=TIR_10, TIR_11=TIR_11, tau_10=0.86,
tau_11=0.87, E_10=E_10, E_11=E_11)
Mean atmospheric temperature
Description
This function calculates mean atmospheric temperature (Ta) using near-surface air temperature (To)
Usage
Ta(To = To, mod = mod)
Arguments
To |
Near-surface air temperature (°C) of the date when Landsat passed over the study area |
mod |
A string specifying which model to use. It can be anyone of "USA 1976 Standard" or "Tropical Region" or "Mid-latitude Summer Region" or "Mid-latitude Winter Region" |
Value
Mean atmospheric temperature (K)
References
Sekertekin, A. and Bonafoni, S., 2020. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: Assessment of different retrieval algorithms and emissivity models and toolbox implementation. Remote sensing, 12(2), p.294.
Examples
Ta(To = 26, mod = "Mid-latitude Winter Region")
Atmospheric transmittance calculation
Description
This function calculates Atmospheric transmittance from near-surface air temperature (To, °C) and relative humidity (RH, %) of the date when Landsat passed over the study area
Usage
tau(To = To, RH = To, band = band)
Arguments
To |
Near-surface air temperature (°C) of the date when Landsat passed over the study area |
RH |
relative humidity (%) of the date when Landsat passed over the study area |
band |
A string specifying which Landsat 8 thermal band to use. It can be "band 10" or "band 11" |
Value
Atmospheric transmittance
Examples
tau(To = 26, RH = 42, band = "band 11")