Title: | Evapotranspiration and Energy Fluxes Spatial Analysis |
Version: | 1.0.2 |
Description: | Spatial modeling of energy balance and actual evapotranspiration using satellite images and meteorological data. Options of satellite are: Landsat-8 (with and without thermal bands), Sentinel-2 and MODIS. Respectively spatial resolutions are 30, 100, 10 and 250 meters. User can use data from a single meteorological station or a grid of meteorological stations (using any spatial interpolation method). Silva, Teixeira, and Manzione (2019) <doi:10.1016/j.envsoft.2019.104497>. |
Maintainer: | Cesar de Oliveira Ferreira Silva <cesaroliveira.f.silva@gmail.com> |
Depends: | R (≥ 3.2.0) |
License: | MIT + file LICENSE |
Encoding: | UTF-8 |
BugReports: | https://github.com/cesarofs/agriwater/issues |
Imports: | terra |
RoxygenNote: | 7.2.2 |
Suggests: | knitr, rmarkdown |
VignetteBuilder: | knitr |
NeedsCompilation: | no |
Packaged: | 2023-06-08 01:05:18 UTC; csilv |
Author: | Cesar de Oliveira Ferreira Silva [aut, cre], Antonio Heriberto de Castro Teixeira [ctb], Rodrigo Lilla Manzione [aut] |
Repository: | CRAN |
Date/Publication: | 2023-06-08 02:23:00 UTC |
Surface Albedo using Landsat-8 images.
Description
Surface Albedo using Landsat-8 images.
Usage
albedo_l8(doy)
Arguments
doy |
is the Day of Year (DOY) |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24").
Surface Albedo using MODIS images.
Description
Surface Albedo using MODIS images.
Usage
albedo_modis()
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.01),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B1.tif"),filetype = "GTiff", overwrite=TRUE)
# creating mask of study area
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
albedo_modis()
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Surface Albedo using Sentinel-2 images.
Description
Surface Albedo using Sentinel-2 images.
Usage
albedo_s2()
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.07, sd = 0.01), 2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B3.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.03, sd = 0.018),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B4.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B8.tif"),filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
albedo_s2()
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Actual evapotranspiration (ETa) using Landsat-8 images with single agrometeorological data.
Description
Actual evapotranspiration (ETa) using Landsat-8 images with single agrometeorological data.
Usage
evapo_l8(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Actual evapotranspiration (ETa) using Landsat-8 images with a grid of agrometeorological data.
Description
Actual evapotranspiration (ETa) using Landsat-8 images with a grid of agrometeorological data.
Usage
evapo_l8_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Actual evapotranspiration (ETa) using Landsat-8 (including thermal bands) images with single agrometeorological data.
Description
Actual evapotranspiration (ETa) using Landsat-8 (including thermal bands) images with single agrometeorological data.
Usage
evapo_l8t(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Actual evapotranspiration (ETa) using Landsat-8 (including thermal bands) images with a grid of agrometeorological data.
Description
Actual evapotranspiration (ETa) using Landsat-8 (including thermal bands) images with a grid of agrometeorological data.
Usage
evapo_l8t_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Actual evapotranspiration (ETa) using MODIS with single agrometeorological data.
Description
Actual evapotranspiration (ETa) using MODIS with single agrometeorological data.
Usage
evapo_modis(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B1.tif"),filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater" - it's the same procedure as the used for
# evapo_l8(), evapo_l8t(), evapo_modis_grid(), evapo_l8_grid(),
# evapo_l8t_grid(), evapo_s2() and evapo_s2_grid()
evapo_modis(doy = 134, RG = 17.6, Ta = 27.9, ET0 = 3.8, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Actual evapotranspiration (ETa) using MODIS with a grid of agrometeorological data.
Description
Actual evapotranspiration (ETa) using MODIS with a grid of agrometeorological data.
Usage
evapo_modis_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Actual evapotranspiration (ETa) using Sentinel-2 images with single agrometeorological data.
Description
Actual evapotranspiration (ETa) using Sentinel-2 images with single agrometeorological data.
Usage
evapo_s2(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.07, sd = 0.01), 2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B3.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.03, sd = 0.018),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B4.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B8.tif"),filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
evapo_s2(doy = 134, RG = 17.6, Ta = 27.9, ET0 = 3.8, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Actual evapotranspiration (ETa) using Sentinel-2 images with a grid of agrometeorological data.
Description
Actual evapotranspiration (ETa) using Sentinel-2 images with a grid of agrometeorological data.
Usage
evapo_s2_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), net radiation ("Rn_MJ"), Crop Coefficient ("kc") and Actual Evapotranspiration (evapo).
Crop coefficient (ETa / ET0) using Landsat-8 images with single agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Landsat-8 images with single agrometeorological data.
Usage
kc_l8(doy, RG, Ta, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Crop coefficient (ETa / ET0) using Landsat-8 images with a grid of agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Landsat-8 images with a grid of agrometeorological data.
Usage
kc_l8_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Crop coefficient (ETa / ET0) using Landsat-8 images (including thermal bands) with single agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Landsat-8 images (including thermal bands) with single agrometeorological data.
Usage
kc_l8t(doy, RG, Ta, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Crop coefficient (ETa / ET0) using Landsat-8 images (including thermal bands) with a grid of agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Landsat-8 images (including thermal bands) with a grid of agrometeorological data.
Usage
kc_l8t_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Crop coefficient (ETa / ET0) using MODIS with single agrometeorological data.
Description
Crop coefficient (ETa / ET0) using MODIS with single agrometeorological data.
Usage
kc_modis(doy, RG, Ta, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate MODIS reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.07, sd = 0.01), 2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"), filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B1.tif"), filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
kc_modis(doy = 134, RG = 17.6, Ta = 27.9, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Crop coefficient (ETa / ET0) using MODIS with a grid of agrometeorological data.
Description
Crop coefficient (ETa / ET0) using MODIS with a grid of agrometeorological data.
Usage
kc_modis_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Crop coefficient (ETa / ET0) using Sentinel-2 images with single agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Sentinel-2 images with single agrometeorological data.
Usage
kc_s2(doy, RG, Ta, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.07, sd = 0.01), 2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B3.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.03, sd = 0.018),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B4.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B8.tif"),filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
kc_s2(doy = 134, RG = 17.6, Ta = 27.9, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Crop coefficient (ETa / ET0) using Sentinel-2 images with a grid of agrometeorological data.
Description
Crop coefficient (ETa / ET0) using Sentinel-2 images with a grid of agrometeorological data.
Usage
kc_s2_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc") and net radiation ("Rn_MJ").
Energy balance using Landsat-8 images with single agrometeorological data.
Description
Energy balance using Landsat-8 images with single agrometeorological data.
Usage
radiation_l8(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Energy balance using Landsat-8 images with a grid of agrometeorological data.
Description
Energy balance using Landsat-8 images with a grid of agrometeorological data.
Usage
radiation_l8_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Energy balance using Landsat-8 images (including thermal bands) with single agrometeorological data.
Description
Energy balance using Landsat-8 images (including thermal bands) with single agrometeorological data.
Usage
radiation_l8t(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Energy balance using Landsat-8 images (including thermal bands) with a grid of agrometeorological data.
Description
Energy balance using Landsat-8 images (including thermal bands) with a grid of agrometeorological data.
Usage
radiation_l8t_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Energy balance using Landsat-8 images with single agrometeorological data.
Description
Energy balance using Landsat-8 images with single agrometeorological data.
Usage
radiation_modis(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B1.tif"),filetype = "GTiff", overwrite=TRUE)
# creating mask of study area
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater" - it's the same procedure as the used for
# radiation_l8(), radiation_l8t(), radiation_s2(),
# radiation_l8_grid(), radiation_l8t_grid(),
# radiation_s2_grid(), radiation_s2() and radiation_modis_grid()
radiation_modis(doy = 134, RG = 17.6, Ta = 27.9, ET0 = 3.8, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Energy balance using Landsat-8 images with a grid of agrometeorological data.
Description
Energy balance using Landsat-8 images with a grid of agrometeorological data.
Usage
radiation_modis_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Energy balance using Sentinel-2 images with single agrometeorological data.
Description
Energy balance using Sentinel-2 images with single agrometeorological data.
Usage
radiation_s2(doy, RG, Ta, ET0, a, b)
Arguments
doy |
is the Day of Year (DOY) |
RG |
is the global solar radiation |
Ta |
is the average air temperature |
ET0 |
is the reference evapotranspiration |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Examples
library(agriwater)
# dependencies of package 'agriwater'
library(terra)
# Using a temporary folder to run example
wd <- tempdir()
initial = getwd()
setwd(wd)
# creating raster which simulate Sentinel-2 reflectances - for using
# real data, please download:
# https://drive.google.com/open?id=14E1wHNLxG7_Dh4I-GqNYakj8YJDgKLzk
xy <- matrix(rnorm(4, mean = 0.07, sd = 0.01), 2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B2.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B3.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.03, sd = 0.018),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B4.tif"),filetype = "GTiff", overwrite=TRUE)
xy <- matrix(rnorm(4, mean = 0.05, sd = 0.015),2, 2)
rast <- rast(xy, crs="+proj=longlat +datum=WGS84")
ext(rast) <- c(-40.5,-40.45,-9.5,-9.45)
writeRaster(rast, file.path(wd, "B8.tif"),filetype = "GTiff", overwrite=TRUE)
mask <- as.polygons(rast)
writeVector(mask, file.path(getwd(),"mask.shp"), overwrite=TRUE)
# using "agriwater"
radiation_s2(doy = 134, RG = 17.6, Ta = 27.9, ET0 = 3.8, a = 1.8, b = -0.008)
#Exiting temporary folder and returning to previous workspace
setwd(initial)
Energy balance using Sentinel-2 images with a grid of agrometeorological data.
Description
Energy balance using Sentinel-2 images with a grid of agrometeorological data.
Usage
radiation_s2_grid(doy, a, b)
Arguments
doy |
is the Day of Year (DOY) |
a |
is one of the regression coefficients of SAFER algorithm |
b |
is one of the regression coefficients of SAFER algorithm |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24"), NDVI, Surface Temperature ("LST"), Crop Coefficient ("kc"), Actual Evapotranspiration (evapo), latent heat flux "LE_MJ"), net radiation ("Rn_MJ"), ground heat flux ("G_MJ") and the sensible heat flux ("H_MJ").
Reflectancies from Landsat-8 images.
Description
Reflectancies from Landsat-8 images.
Usage
reflectance_l8(doy)
Arguments
doy |
is the Day of Year (DOY) |
Value
It returns in raster format (.tif) the Surface Albedo at 24h scale ("Alb_24").