Introduction
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)
rOPTRAM
implements The OPtical TRapezoid Model (OPTRAM)
to derive soil moisture based on the linear relation between a
vegetation index, i.e. NDVI, and Land Surface Temperature (LST). The
Short Wave Infra-red (SWIR) band is used as a proxy for LST. The SWIR
band is transformed to Swir Transformed Reflectance (STR).
A scatterplot of NDVI vs. STR is used to produce wet and dry linear
regression lines, and the slope/intercept coefficients of these lines
comprise the trapezoid. These coefficients are then used on a new
satellite image to determine soil moisture.
See: Sadeghi et al. (2017), Burdun et al. (2020), Ambrosone et al. (2020)
Prerequisites
Only a small number of commonly used R packages are required to use
{rOPTRAM}. This includes:
- base packages {tools} and {utils}
- spatial packages {sf} and {terra}
- data.frame and plotting {dplyr}, {ggplot2}
Also, to allow {rOPTRAM} to download Sentinel-2 images, clip to a
study area, and prepare the necessary vegetation index and STR products,
the R package {CDSE} (see Karaman (2023))
as well as {jsonlite} are required.
Workflows
Users can download Sentinel-2 tiles from the Copernicus manually, and
run thru the steps one by one to produce the OPTRAM trapezoid, and
predicted soil moisture maps. However, this approach is not optimal. The
complete workflow can be initiated with a single function call to
download, clip to area of interest, and produce the trapezoid
coefficients. This all-inclusive approach is highly recommended since
processing of the Sentinel-2 data is performed “in the cloud” and only
the final products are downloaded, greatly reducing the
download file sizes.
That recommended R package {CDSE} interfaces with the Copernicus
DataSpace Ecosystem in one of two ways:
Both methods require registering on the
Copernicus DataSpace
remotes::install_github("ropensci/rOPTRAM")
library(rOPTRAM)
ls(getNamespace('rOPTRAM'))
# The {CDSE} and {jsonlite} packages are required for downloading Sentinel imagery from Copernicus DataSpace.
library("CDSE")
library("jsonlite")
Package options
The {rOPTRAM} package is controlled by several options, set
automatically when the package first loads. These defaults can be viewed
by running the function optram_options()
without
arguments:
optram_options()
#> [1] "edge_points = TRUE"
#> [1] "feature_col = ID"
#> [1] "max_cloud = 12"
#> [1] "max_tbl_size = 1e+06"
#> [1] "period = seasonal"
#> [1] "plot_colors = colors"
#> [1] "remote = scihub"
#> [1] "rm.hi.str = FALSE"
#> [1] "rm.low.vi = FALSE"
#> [1] "SWIR_band = 11"
#> [1] "trapezoid_method = linear"
#> [1] "veg_index = NDVI"
#> [1] "vi_step = 0.005"
#> NULL
Users can override any of the defaults by calling this function with
alternative values for the options. For example, Sentinel images are
downloaded, by default for all available image dates between the
specified from_date
and to_date
. Users can,
instead, choose to download images only for a specific season as
follows:
optram_options("period", "seasonal")
#> [1] "edge_points = TRUE"
#> [1] "feature_col = ID"
#> [1] "max_cloud = 12"
#> [1] "max_tbl_size = 1e+06"
#> [1] "period = seasonal"
#> [1] "plot_colors = colors"
#> [1] "remote = scihub"
#> [1] "rm.hi.str = FALSE"
#> [1] "rm.low.vi = FALSE"
#> [1] "SWIR_band = 11"
#> [1] "trapezoid_method = linear"
#> [1] "veg_index = NDVI"
#> [1] "vi_step = 0.005"
Now, only images between the day/month of from_date
and
day/month of to_date
will be acquired, but for all years in
the date range.
Three trapezoid fitting functions are implemented in {rOPTRAM}. The
default is “linear”, but users can change as follows:
optram_options("trapezoid_method", "polynomial")
#> [1] "edge_points = TRUE"
#> [1] "feature_col = ID"
#> [1] "max_cloud = 12"
#> [1] "max_tbl_size = 1e+06"
#> [1] "period = seasonal"
#> [1] "plot_colors = colors"
#> [1] "remote = scihub"
#> [1] "rm.hi.str = FALSE"
#> [1] "rm.low.vi = FALSE"
#> [1] "SWIR_band = 11"
#> [1] "trapezoid_method = polynomial"
#> [1] "veg_index = NDVI"
#> [1] "vi_step = 0.005"
The default trapezoid plot shows a scatter plot cloud of vegetation
index values vs SWIR Transformed Reflectance, where all points have a
uniform color. This plot can be improved by coloring the points by their
density within the scatterplot. This is accomplished by choosing to set
the option “plot_colors” to “colors”:
optram_options("plot_colors", "colors")
#> [1] "edge_points = TRUE"
#> [1] "feature_col = ID"
#> [1] "max_cloud = 12"
#> [1] "max_tbl_size = 1e+06"
#> [1] "period = seasonal"
#> [1] "plot_colors = colors"
#> [1] "remote = scihub"
#> [1] "rm.hi.str = FALSE"
#> [1] "rm.low.vi = FALSE"
#> [1] "SWIR_band = 11"
#> [1] "trapezoid_method = polynomial"
#> [1] "veg_index = NDVI"
#> [1] "vi_step = 0.005"
Main wrapper function
Run the full OPTRAM model procedure with a single function call
Registration on Copernicus DataSpace was done in advance, and the
OAuth credentials (clientid, and secret) have been
saved to the user’s home directory.
Downloaded Sentinel-2 images are saved to S2_output_dir
.
For this example, outputs are saved to tempdir()
from_date <- "2022-05-01"
to_date <- "2023-04-30"
output_dir <- tempdir()
aoi <- sf::st_read(system.file("extdata",
"lachish.gpkg", package = "rOPTRAM"))
optram_options("veg_index", "NDVI")
optram_options("trapezoid_method", "linear")
rmse <- optram(aoi,
from_date, to_date,
S2_output_dir = output_dir,
data_output_dir = output_dir)
#> [1] "RMSE for fitted trapezoid:"
#> RMSE.wet RMSE.dry
#> 1 0.2747341 0.1407656
knitr::kable(rmse, caption = "Trapezoid coefficients")
Trapezoid coefficients
0.2747341 |
0.1407656 |
Show trapezoid plot
edges_df <- read.csv(file.path(output_dir, "trapezoid_edges_lin.csv"))
df_file <- file.path(output_dir, "VI_STR_data.rds")
full_df <- readRDS(df_file)
pl <- plot_vi_str_cloud(full_df, edges_df)
plot of chunk plot-prepare
pl <- pl + ggplot2::ggtitle("Lachish area trapezoid plot",
subtitle = "linear fitted")
ggplot2::ggsave(file.path(output_dir, "trapezoid_lachish_linear.png"),
width = 18, height = 12, units = "cm")
knitr::include_graphics("images/trapezoid_lachish_linear.png")
plot of chunk plot-trap