R/pck_lut.R
In environmentalinformatics-marburg/satellite: Handling and Manipulating Remote Sensing Data
Defines functions
pck_lut
# Function used to create sysdata.rda (i.e. LUT)
#
# @description
# Function which has been used to create the LUT data of this package.
#
# @name pck_lut
#
NULL
pck_lut <- function(){
# Sensor id patterns
sensor_id_pattern <- do.call("rbind", sensor_ids_list <- list(
data.frame(SID = "LT4",
PATTERN = c("LT4"),
PATTERN2 = "LT04",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LT5",
PATTERN = c("LT5"),
PATTERN2 = "LT05",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LE7",
PATTERN = c("LE7"),
PATTERN2 = "LE07",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LC8",
PATTERN = c("LC8"),
PATTERN2 = "LC08",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "L5",
PATTERN = c("L5"),
PATTERN2 = "N/A",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "MOD",
PATTERN = c("MOD"),
PATTERN2 = "N/A",
SGRP = "MODIS",
stringsAsFactors = FALSE),
data.frame(SID = "MYD",
PATTERN = c("MYD"),
PATTERN2 = "N/A",
SGRP = "MODIS",
stringsAsFactors = FALSE),
data.frame(SID = "PROBAV",
PATTERN = "PROBAV",
PATTERN2 = "N/A",
SGRP = "PROBA")
))
# Sensor names
sensors <- c(LT4 = "Landsat 4", LT5 = "Landsat 5", LE7 = "Landsat 7",
LC8 = "Landsat 8", L5 = "Global Land Survey L5",
MOD = "Terra-MODIS", MYD = "Aqua-MODIS",
PROBAV = "PROBA-V")
# Sensor band variables
bands <- c(LT4 = "L4_BANDS", LT5 = "L5_BANDS", LE7 = "L7_BANDS",
LC8 = "L8_BANDS", L5 = "GLS5_BANDS",
MOD = "MOD_BANDS", MYD = "MYD_BANDS",
PROBAV = "PROBAV_BANDS")
# Sensor rsr
rsr <- c(LE7 = "L7_RSR", LC8 = "L8_RSR")
# Band wavelengths, bandwith data taken from
# http://landsat.usgs.gov/band_designations_landsat_satellites.php
l4_bands <- data.frame(
SID = "LT4",
SGRP = "Landsat",
BID = c(seq(7), "QA"),
BCDE = c(sprintf("B%03dn", seq(7)), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", NA))
rownames(l4_bands) <- paste0("Band_", l4_bands$BID)
l5_bands <- data.frame(
SID = "LT5",
SGRP = "Landsat",
BID = c(seq(7), "QA"),
BCDE = c(sprintf("B%03dn", seq(7)), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", NA))
rownames(l5_bands) <- paste0("Band_", l5_bands$BID)
l7_bands <- data.frame(
SID = "LE7",
SGRP = "Landsat",
BID = c(seq(5), "6_VCID_1", "6_VCID_2", 7:8, "QA"),
BCDE = c(sprintf("B%03dn", seq(5)), "B0061", "B0062", sprintf("B%03dn", 7:8), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.77, 1.55, 10.40, 10.40, 2.08, 0.52, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 12.50, 2.35, 0.90, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30, 30, 15),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR", "TIR", "SWIR", "PCM", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "thermal", "solar", "solar", NA))
rownames(l7_bands) <- paste0("Band_", l7_bands$BID)
l8_bands <- data.frame(
SID = "LC8",
SGRP = "Landsat",
BID = c(seq(11), "QA"),
BCDE = c(sprintf("B%03dn", seq(11)), "B0QAn"),
LMIN = c(0.43, 0.45, 0.53, 0.64, 0.85, 1.57, 2.11, 0.50, 1.36, 10.60, 11.50, NA),
LMAX = c(0.45, 0.51, 0.59, 0.67, 0.88, 1.65, 2.29, 0.68, 1.38, 11.19, 12.51, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30, 15, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "VIS", "NIR", "SWIR", "SWIR", "PCM", "SWIR",
"TIR", "TIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar", "solar", "solar",
"solar", "solar", "thermal", "thermal", NA))
rownames(l8_bands) <- paste0("Band_", l8_bands$BID)
gls5_bands <- data.frame(
SID = "GLS5",
SGRP = "Landsat",
BID = c(seq(7), "DEM"),
BCDE = c(sprintf("B%03dn", seq(7)), "DEM"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "DEM"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", "DEM"))
rownames(gls5_bands) <- paste0("Band_", gls5_bands$BID)
mod_bands <- data.frame(
SID = "MOD",
SGRP = "Terra-MODIS",
BID = c(seq(10, 120, 10), "131", "132", "141", "142", seq(150, 360, 10)),
BCDE = c(sprintf("B%03dn", seq(10, 120, 10)),
"B131n", "B132n", "B141n", "B142n",
sprintf("B%03dn", seq(150, 360, 10))),
LMIN = c(0.6181476, 0.8283453, 0.4542292, 0.5411443, 1.2206666, 1.6034212,
2.0754640, 0.4031684, 0.4351608, 0.4798235, 0.5215675, 0.5392305,
0.6582006, 0.6582006, 0.6684330, 0.6684330, 0.7392894, 0.8542711,
0.8782809, 0.9253254, 0.8983076, 3.6509025, 3.9165764, 3.9063685,
3.9959733, 4.3745532, 4.4521298, 1.3465556, 6.5557060, 7.0930071,
8.2599459, 9.4668608, 10.6066866, 11.7226057, 13.1484776,
13.4300604, 13.6801291, 13.9706268),
LMAX = c(0.6751655, 0.8853492, 0.4792264, 0.5671609, 1.2626727, 1.6514183,
2.1604619, 0.4213848, 0.4491426, 0.4948276, 0.5389541, 0.5552039,
0.6741939, 0.6741939, 0.6861149, 0.6861149, 0.7543044, 0.8782920,
0.9292740, 0.9473220, 0.9703046, 3.9108620, 4.0466352, 4.0365319,
4.1259875, 4.5194578, 4.5971141, 1.4145306, 7.0057039, 7.6179643,
8.8299685, 9.9767981, 11.4314585, 12.3726492, 13.5886402,
13.9297733, 14.1699448, 14.4506626),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "NIR", "VIS", "VIS", "NIR", "NIR",
"NIR", "VIS", "VIS", "VIS", "VIS", "VIS",
"VIS", "VIS", "VIS", "VIS", "NIR", "NIR",
"NIR", "NIR", "NIR", "SWIR", "SWIR", "SWIR",
"SWIR", "SWIR", "SWIR", "NIR", "TIR", "TIR",
"TIR", "TIR", "TIR", "TIR", "TIR", "TIR",
"TIR", "TIR"),
SPECTRUM = c(rep("solar", 21), rep("thermal", 6), "solar",
rep("thermal", 10)))
rownames(mod_bands) <- paste0("Band_", mod_bands$BID)
myd_bands <- data.frame(
SID = "myd",
SGRP = "Aqua-MODIS",
BID = c(seq(10, 120, 10), "131", "132", "141", "142", seq(150, 360, 10)),
BCDE = c(sprintf("B%03dn", seq(10, 120, 10)),
"B131n", "B132n", "B141n", "B142n",
sprintf("B%03dn", seq(150, 360, 10))),
LMIN = c(0.6181476, 0.8283453, 0.4542292, 0.5411443, 1.2206666, 1.6034212,
2.0754640, 0.4031684, 0.4351608, 0.4798235, 0.5215675, 0.5392305,
0.6582006, 0.6582006, 0.6684330, 0.6684330, 0.7392894, 0.8542711,
0.8782809, 0.9253254, 0.8983076, 3.6509025, 3.9165764, 3.9063685,
3.9959733, 4.3745532, 4.4521298, 1.3465556, 6.5557060, 7.0930071,
8.2599459, 9.4668608, 10.6066866, 11.7226057, 13.1484776,
13.4300604, 13.6801291, 13.9706268),
LMAX = c(0.6751655, 0.8853492, 0.4792264, 0.5671609, 1.2626727, 1.6514183,
2.1604619, 0.4213848, 0.4491426, 0.4948276, 0.5389541, 0.5552039,
0.6741939, 0.6741939, 0.6861149, 0.6861149, 0.7543044, 0.8782920,
0.9292740, 0.9473220, 0.9703046, 3.9108620, 4.0466352, 4.0365319,
4.1259875, 4.5194578, 4.5971141, 1.4145306, 7.0057039, 7.6179643,
8.8299685, 9.9767981, 11.4314585, 12.3726492, 13.5886402,
13.9297733, 14.1699448, 14.4506626),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "NIR", "VIS", "VIS", "NIR", "NIR",
"NIR", "VIS", "VIS", "VIS", "VIS", "VIS",
"VIS", "VIS", "VIS", "VIS", "NIR", "NIR",
"NIR", "NIR", "NIR", "SWIR", "SWIR", "SWIR",
"SWIR", "SWIR", "SWIR", "NIR", "TIR", "TIR",
"TIR", "TIR", "TIR", "TIR", "TIR", "TIR",
"TIR", "TIR"),
SPECTRUM = c(rep("solar", 21), rep("thermal", 6), "solar",
rep("thermal", 10)))
rownames(myd_bands) <- paste0("Band_", myd_bands$BID)
probav_bands <- data.frame(
SID = "PROBAV",
SGRP = "PROBA",
BID = c(seq(4), "QA"),
BCDE = c(sprintf("B%03dn", seq(4)), "B0QAn"),
LMIN = c(0.44, 0.614, 0.772, 1.57, NA),
LMAX = c(0.487, 0.696, 0.902, 1.635, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "NIR", "SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", NA))
rownames(probav_bands) <- paste0("Band_", probav_bands$BID)
# Landat 7 relative spectral response (units: nm-1)
l7_rsr <- readRDS(system.file("extdata", "l7_rsr.rds", package = "satellite"))
l7_rsr$RSR <- as.numeric(as.character(l7_rsr$RSR))
# Landat 8 relative spectral response (units: nm-1)
l8_rsr <- readRDS(system.file("extdata", "l8_rsr.rds", package = "satellite"))
l8_rsr$RSR <- as.numeric(as.character(l8_rsr$RSR))
# Solar irradiance (units: W m-2 nm-1)
solar <- readRDS(system.file("extdata", "solar.rds", package = "satellite"))
for(i in seq(2,8)){
solar[, i] <- as.numeric(as.character(solar[, i]))
}
# Tabulated values of ESun (W m-2 micrometer-1)
l4_esun <- c(1958, 1826, 1554, 1033, 214.7, NA, 80.7, NA)
attr(l4_esun, "names") <- as.character(l4_bands$BCDE)
l5_esun <- c(1958, 1827, 1551, 1036, 214.9, NA, 80.65, NA)
attr(l5_esun, "names") <- as.character(l5_bands$BCDE)
l7_esun <- c(1970, 1842, 1547, 1044, 225.7, NA, NA, 82.06, 1369, NA)
attr(l7_esun, "names") <- as.character(l7_bands$BCDE)
gls5_esun <- c(1957, 1825, 1557, 1033, 214.9, NA, 80.72, NA)
attr(gls5_esun, "names") <- as.character(gls5_bands$BCDE)
mod_esun <- c(1606.17, 992.2, 2087.94, 1865.94, 474.34, 240.23, 90.33,
1745.75, 1903.77, 1980.94, 1884.19, 1892.24, 1548.18,
1548.18, 1508.14, 1508.14, 1294.8, 973, 934.8, 873.7,
873.2, NA, NA, NA, NA, NA, NA, 364.95, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA)
attr(mod_esun, "names") <- as.character(mod_bands$BCDE)
myd_esun <- c(1608.05, 991.33, 2088.17, 1865.27, 474.94, 240.61, 90.4,
1747.74, 1906.19, 1977.14, 1885.26, 1892.84, 1547.47,
1547.47, 1506.12, 1506.12, 1294.69, 973.21, 934.5, 872.39,
873.11, NA, NA, NA, NA, NA, NA, 365.07, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA)
attr(myd_esun, "names") <- as.character(myd_bands$BCDE)
meta <- list(SENSORS = "Sensor ids and names",
SENSOR_ID_PATTERN = "Filename patter of sensor",
BANDS = "Sensor ids and meta names for band information",
RSR = "RSR ids and sensor names",
L4_BANDS = "Band information for Landsat 4",
L5_BANDS = "Band information for Landsat 5",
L7_BANDS = "Band information for Landsat 7",
L8_BANDS = "Band information for Landsat 8",
GLS5_BANDS = "Band information for GLS with Landsat 5",
MOD_BANDS = "Band information for Terra-MODIS",
MYD_BANDS = "Band information for Aqua-MODIS",
PROBAV_BANDS = "Band information for PROBA-V",
L7_SRS = "Landat 7 relative spectral response (nm-1) taken from http://landsat.usgs.gov/instructions.php",
L8_SRS = "Landat 8 relative spectral response (nm-1) taken from http://landsat.usgs.gov/instructions.php",
SOLAR = "Solar irradiance (units: W m-2 nm-1) from the National Renewable Energy Laboratory taken from http://rredc.nrel.gov/solar/spectra/am0/modtran.html",
L5_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
L4_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
L7_ESUN = "Tabulated ESun values from Landsat7 handbook, tab 11.3 (Thuillier SPECTRUM), taken from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf",
GLS5_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
MOD_ESUN = "Tabulated ESun values from http://mcst.gsfc.nasa.gov/calibration/parameters",
MYD_ESUN = "Tabulated ESun values from http://mcst.gsfc.nasa.gov/calibration/parameters")
# Create sysdata.rda
lut <- list(SENSORS = sensors,
SENSOR_ID_PATTERN = sensor_id_pattern,
BANDS = bands,
RSR = rsr,
L4_BANDS = l4_bands, L5_BANDS = l5_bands,
L7_BANDS = l7_bands, L8_BANDS = l8_bands,
GLS5_BANDS = gls5_bands,
MOD_BANDS = mod_bands, MYD_BANDS = myd_bands,
PROBAV_BANDS = probav_bands,
L7_RSR = l7_rsr, L8_RSR = l8_rsr, SOLAR = solar,
L4_ESUN = l4_esun, L5_ESUN = l5_esun, L7_ESUN = l7_esun,
GLS5_ESUN = gls5_esun,
MOD_ESUN = mod_esun, MYD_ESUN = myd_esun,
META = meta)
devtools::use_data(lut, overwrite = TRUE, internal = TRUE)
}
environmentalinformatics-marburg/satellite documentation built on Feb. 10, 2024, 2:56 p.m.
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Defines functions pck_lut
# Function used to create sysdata.rda (i.e. LUT)
#
# @description
# Function which has been used to create the LUT data of this package.
#
# @name pck_lut
#
NULL
pck_lut <- function(){
# Sensor id patterns
sensor_id_pattern <- do.call("rbind", sensor_ids_list <- list(
data.frame(SID = "LT4",
PATTERN = c("LT4"),
PATTERN2 = "LT04",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LT5",
PATTERN = c("LT5"),
PATTERN2 = "LT05",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LE7",
PATTERN = c("LE7"),
PATTERN2 = "LE07",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "LC8",
PATTERN = c("LC8"),
PATTERN2 = "LC08",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "L5",
PATTERN = c("L5"),
PATTERN2 = "N/A",
SGRP = "Landsat",
stringsAsFactors = FALSE),
data.frame(SID = "MOD",
PATTERN = c("MOD"),
PATTERN2 = "N/A",
SGRP = "MODIS",
stringsAsFactors = FALSE),
data.frame(SID = "MYD",
PATTERN = c("MYD"),
PATTERN2 = "N/A",
SGRP = "MODIS",
stringsAsFactors = FALSE),
data.frame(SID = "PROBAV",
PATTERN = "PROBAV",
PATTERN2 = "N/A",
SGRP = "PROBA")
))
# Sensor names
sensors <- c(LT4 = "Landsat 4", LT5 = "Landsat 5", LE7 = "Landsat 7",
LC8 = "Landsat 8", L5 = "Global Land Survey L5",
MOD = "Terra-MODIS", MYD = "Aqua-MODIS",
PROBAV = "PROBA-V")
# Sensor band variables
bands <- c(LT4 = "L4_BANDS", LT5 = "L5_BANDS", LE7 = "L7_BANDS",
LC8 = "L8_BANDS", L5 = "GLS5_BANDS",
MOD = "MOD_BANDS", MYD = "MYD_BANDS",
PROBAV = "PROBAV_BANDS")
# Sensor rsr
rsr <- c(LE7 = "L7_RSR", LC8 = "L8_RSR")
# Band wavelengths, bandwith data taken from
# http://landsat.usgs.gov/band_designations_landsat_satellites.php
l4_bands <- data.frame(
SID = "LT4",
SGRP = "Landsat",
BID = c(seq(7), "QA"),
BCDE = c(sprintf("B%03dn", seq(7)), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", NA))
rownames(l4_bands) <- paste0("Band_", l4_bands$BID)
l5_bands <- data.frame(
SID = "LT5",
SGRP = "Landsat",
BID = c(seq(7), "QA"),
BCDE = c(sprintf("B%03dn", seq(7)), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", NA))
rownames(l5_bands) <- paste0("Band_", l5_bands$BID)
l7_bands <- data.frame(
SID = "LE7",
SGRP = "Landsat",
BID = c(seq(5), "6_VCID_1", "6_VCID_2", 7:8, "QA"),
BCDE = c(sprintf("B%03dn", seq(5)), "B0061", "B0062", sprintf("B%03dn", 7:8), "B0QAn"),
LMIN = c(0.45, 0.52, 0.63, 0.77, 1.55, 10.40, 10.40, 2.08, 0.52, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 12.50, 2.35, 0.90, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30, 30, 15),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR", "TIR", "SWIR", "PCM", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "thermal", "solar", "solar", NA))
rownames(l7_bands) <- paste0("Band_", l7_bands$BID)
l8_bands <- data.frame(
SID = "LC8",
SGRP = "Landsat",
BID = c(seq(11), "QA"),
BCDE = c(sprintf("B%03dn", seq(11)), "B0QAn"),
LMIN = c(0.43, 0.45, 0.53, 0.64, 0.85, 1.57, 2.11, 0.50, 1.36, 10.60, 11.50, NA),
LMAX = c(0.45, 0.51, 0.59, 0.67, 0.88, 1.65, 2.29, 0.68, 1.38, 11.19, 12.51, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30, 15, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "VIS", "NIR", "SWIR", "SWIR", "PCM", "SWIR",
"TIR", "TIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar", "solar", "solar",
"solar", "solar", "thermal", "thermal", NA))
rownames(l8_bands) <- paste0("Band_", l8_bands$BID)
gls5_bands <- data.frame(
SID = "GLS5",
SGRP = "Landsat",
BID = c(seq(7), "DEM"),
BCDE = c(sprintf("B%03dn", seq(7)), "DEM"),
LMIN = c(0.45, 0.52, 0.63, 0.76, 1.55, 10.40, 2.08, NA),
LMAX = c(0.52, 0.60, 0.69, 0.90, 1.75, 12.50, 2.35, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "VIS", "NIR", "SWIR", "TIR",
"SWIR", "DEM"),
SPECTRUM = c("solar", "solar", "solar", "solar", "solar",
"thermal", "solar", "DEM"))
rownames(gls5_bands) <- paste0("Band_", gls5_bands$BID)
mod_bands <- data.frame(
SID = "MOD",
SGRP = "Terra-MODIS",
BID = c(seq(10, 120, 10), "131", "132", "141", "142", seq(150, 360, 10)),
BCDE = c(sprintf("B%03dn", seq(10, 120, 10)),
"B131n", "B132n", "B141n", "B142n",
sprintf("B%03dn", seq(150, 360, 10))),
LMIN = c(0.6181476, 0.8283453, 0.4542292, 0.5411443, 1.2206666, 1.6034212,
2.0754640, 0.4031684, 0.4351608, 0.4798235, 0.5215675, 0.5392305,
0.6582006, 0.6582006, 0.6684330, 0.6684330, 0.7392894, 0.8542711,
0.8782809, 0.9253254, 0.8983076, 3.6509025, 3.9165764, 3.9063685,
3.9959733, 4.3745532, 4.4521298, 1.3465556, 6.5557060, 7.0930071,
8.2599459, 9.4668608, 10.6066866, 11.7226057, 13.1484776,
13.4300604, 13.6801291, 13.9706268),
LMAX = c(0.6751655, 0.8853492, 0.4792264, 0.5671609, 1.2626727, 1.6514183,
2.1604619, 0.4213848, 0.4491426, 0.4948276, 0.5389541, 0.5552039,
0.6741939, 0.6741939, 0.6861149, 0.6861149, 0.7543044, 0.8782920,
0.9292740, 0.9473220, 0.9703046, 3.9108620, 4.0466352, 4.0365319,
4.1259875, 4.5194578, 4.5971141, 1.4145306, 7.0057039, 7.6179643,
8.8299685, 9.9767981, 11.4314585, 12.3726492, 13.5886402,
13.9297733, 14.1699448, 14.4506626),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "NIR", "VIS", "VIS", "NIR", "NIR",
"NIR", "VIS", "VIS", "VIS", "VIS", "VIS",
"VIS", "VIS", "VIS", "VIS", "NIR", "NIR",
"NIR", "NIR", "NIR", "SWIR", "SWIR", "SWIR",
"SWIR", "SWIR", "SWIR", "NIR", "TIR", "TIR",
"TIR", "TIR", "TIR", "TIR", "TIR", "TIR",
"TIR", "TIR"),
SPECTRUM = c(rep("solar", 21), rep("thermal", 6), "solar",
rep("thermal", 10)))
rownames(mod_bands) <- paste0("Band_", mod_bands$BID)
myd_bands <- data.frame(
SID = "myd",
SGRP = "Aqua-MODIS",
BID = c(seq(10, 120, 10), "131", "132", "141", "142", seq(150, 360, 10)),
BCDE = c(sprintf("B%03dn", seq(10, 120, 10)),
"B131n", "B132n", "B141n", "B142n",
sprintf("B%03dn", seq(150, 360, 10))),
LMIN = c(0.6181476, 0.8283453, 0.4542292, 0.5411443, 1.2206666, 1.6034212,
2.0754640, 0.4031684, 0.4351608, 0.4798235, 0.5215675, 0.5392305,
0.6582006, 0.6582006, 0.6684330, 0.6684330, 0.7392894, 0.8542711,
0.8782809, 0.9253254, 0.8983076, 3.6509025, 3.9165764, 3.9063685,
3.9959733, 4.3745532, 4.4521298, 1.3465556, 6.5557060, 7.0930071,
8.2599459, 9.4668608, 10.6066866, 11.7226057, 13.1484776,
13.4300604, 13.6801291, 13.9706268),
LMAX = c(0.6751655, 0.8853492, 0.4792264, 0.5671609, 1.2626727, 1.6514183,
2.1604619, 0.4213848, 0.4491426, 0.4948276, 0.5389541, 0.5552039,
0.6741939, 0.6741939, 0.6861149, 0.6861149, 0.7543044, 0.8782920,
0.9292740, 0.9473220, 0.9703046, 3.9108620, 4.0466352, 4.0365319,
4.1259875, 4.5194578, 4.5971141, 1.4145306, 7.0057039, 7.6179643,
8.8299685, 9.9767981, 11.4314585, 12.3726492, 13.5886402,
13.9297733, 14.1699448, 14.4506626),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "NIR", "VIS", "VIS", "NIR", "NIR",
"NIR", "VIS", "VIS", "VIS", "VIS", "VIS",
"VIS", "VIS", "VIS", "VIS", "NIR", "NIR",
"NIR", "NIR", "NIR", "SWIR", "SWIR", "SWIR",
"SWIR", "SWIR", "SWIR", "NIR", "TIR", "TIR",
"TIR", "TIR", "TIR", "TIR", "TIR", "TIR",
"TIR", "TIR"),
SPECTRUM = c(rep("solar", 21), rep("thermal", 6), "solar",
rep("thermal", 10)))
rownames(myd_bands) <- paste0("Band_", myd_bands$BID)
probav_bands <- data.frame(
SID = "PROBAV",
SGRP = "PROBA",
BID = c(seq(4), "QA"),
BCDE = c(sprintf("B%03dn", seq(4)), "B0QAn"),
LMIN = c(0.44, 0.614, 0.772, 1.57, NA),
LMAX = c(0.487, 0.696, 0.902, 1.635, NA),
#SRES = c(30, 30, 30, 30, 30, 30, 30),
TYPE = c("VIS", "VIS", "NIR", "SWIR", "QA"),
SPECTRUM = c("solar", "solar", "solar", "solar", NA))
rownames(probav_bands) <- paste0("Band_", probav_bands$BID)
# Landat 7 relative spectral response (units: nm-1)
l7_rsr <- readRDS(system.file("extdata", "l7_rsr.rds", package = "satellite"))
l7_rsr$RSR <- as.numeric(as.character(l7_rsr$RSR))
# Landat 8 relative spectral response (units: nm-1)
l8_rsr <- readRDS(system.file("extdata", "l8_rsr.rds", package = "satellite"))
l8_rsr$RSR <- as.numeric(as.character(l8_rsr$RSR))
# Solar irradiance (units: W m-2 nm-1)
solar <- readRDS(system.file("extdata", "solar.rds", package = "satellite"))
for(i in seq(2,8)){
solar[, i] <- as.numeric(as.character(solar[, i]))
}
# Tabulated values of ESun (W m-2 micrometer-1)
l4_esun <- c(1958, 1826, 1554, 1033, 214.7, NA, 80.7, NA)
attr(l4_esun, "names") <- as.character(l4_bands$BCDE)
l5_esun <- c(1958, 1827, 1551, 1036, 214.9, NA, 80.65, NA)
attr(l5_esun, "names") <- as.character(l5_bands$BCDE)
l7_esun <- c(1970, 1842, 1547, 1044, 225.7, NA, NA, 82.06, 1369, NA)
attr(l7_esun, "names") <- as.character(l7_bands$BCDE)
gls5_esun <- c(1957, 1825, 1557, 1033, 214.9, NA, 80.72, NA)
attr(gls5_esun, "names") <- as.character(gls5_bands$BCDE)
mod_esun <- c(1606.17, 992.2, 2087.94, 1865.94, 474.34, 240.23, 90.33,
1745.75, 1903.77, 1980.94, 1884.19, 1892.24, 1548.18,
1548.18, 1508.14, 1508.14, 1294.8, 973, 934.8, 873.7,
873.2, NA, NA, NA, NA, NA, NA, 364.95, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA)
attr(mod_esun, "names") <- as.character(mod_bands$BCDE)
myd_esun <- c(1608.05, 991.33, 2088.17, 1865.27, 474.94, 240.61, 90.4,
1747.74, 1906.19, 1977.14, 1885.26, 1892.84, 1547.47,
1547.47, 1506.12, 1506.12, 1294.69, 973.21, 934.5, 872.39,
873.11, NA, NA, NA, NA, NA, NA, 365.07, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA)
attr(myd_esun, "names") <- as.character(myd_bands$BCDE)
meta <- list(SENSORS = "Sensor ids and names",
SENSOR_ID_PATTERN = "Filename patter of sensor",
BANDS = "Sensor ids and meta names for band information",
RSR = "RSR ids and sensor names",
L4_BANDS = "Band information for Landsat 4",
L5_BANDS = "Band information for Landsat 5",
L7_BANDS = "Band information for Landsat 7",
L8_BANDS = "Band information for Landsat 8",
GLS5_BANDS = "Band information for GLS with Landsat 5",
MOD_BANDS = "Band information for Terra-MODIS",
MYD_BANDS = "Band information for Aqua-MODIS",
PROBAV_BANDS = "Band information for PROBA-V",
L7_SRS = "Landat 7 relative spectral response (nm-1) taken from http://landsat.usgs.gov/instructions.php",
L8_SRS = "Landat 8 relative spectral response (nm-1) taken from http://landsat.usgs.gov/instructions.php",
SOLAR = "Solar irradiance (units: W m-2 nm-1) from the National Renewable Energy Laboratory taken from http://rredc.nrel.gov/solar/spectra/am0/modtran.html",
L5_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
L4_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
L7_ESUN = "Tabulated ESun values from Landsat7 handbook, tab 11.3 (Thuillier SPECTRUM), taken from http://landsathandbook.gsfc.nasa.gov/pdfs/Landsat7_Handbook.pdf",
GLS5_ESUN = "Tabulated ESun values from Chander and Markham (2003), tab. II, taken from http://landsathandbook.gsfc.nasa.gov/pdfs/L5TMLUTIEEE2003.pdf",
MOD_ESUN = "Tabulated ESun values from http://mcst.gsfc.nasa.gov/calibration/parameters",
MYD_ESUN = "Tabulated ESun values from http://mcst.gsfc.nasa.gov/calibration/parameters")
# Create sysdata.rda
lut <- list(SENSORS = sensors,
SENSOR_ID_PATTERN = sensor_id_pattern,
BANDS = bands,
RSR = rsr,
L4_BANDS = l4_bands, L5_BANDS = l5_bands,
L7_BANDS = l7_bands, L8_BANDS = l8_bands,
GLS5_BANDS = gls5_bands,
MOD_BANDS = mod_bands, MYD_BANDS = myd_bands,
PROBAV_BANDS = probav_bands,
L7_RSR = l7_rsr, L8_RSR = l8_rsr, SOLAR = solar,
L4_ESUN = l4_esun, L5_ESUN = l5_esun, L7_ESUN = l7_esun,
GLS5_ESUN = gls5_esun,
MOD_ESUN = mod_esun, MYD_ESUN = myd_esun,
META = meta)
devtools::use_data(lut, overwrite = TRUE, internal = TRUE)
}
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