Calculate a suite of multispectral indices such as NDVI, SAVI etc. in an efficient way.
spectralIndices(
img,
blue = NULL,
green = NULL,
red = NULL,
nir = NULL,
redEdge1 = NULL,
redEdge2 = NULL,
redEdge3 = NULL,
swir1 = NULL,
swir2 = NULL,
swir3 = NULL,
scaleFactor = 1,
skipRefCheck = FALSE,
indices = NULL,
index = NULL,
maskLayer = NULL,
maskValue = 1,
coefs = list(L = 0.5, G = 2.5, L_evi = 1, C1 = 6, C2 = 7.5, s = 1, swir2ccc = NULL,
swir2coc = NULL),
...
)
SpatRaster
SpatRaster. Typically remote sensing imagery, which is to be classified.
Character or integer. Blue band.
Character or integer. Green band.
Character or integer. Red band.
Character or integer. Near-infrared band (700-1100nm).
Character or integer. Red-edge band (705nm)
Character or integer. Red-edge band (740nm)
Character or integer. Red-edge band (783nm)
not used
Character or integer. Short-wave-infrared band (1400-1800nm).
Character or integer. Short-wave-infrared band (2000-2500nm).
Numeric. Scale factor for the conversion of scaled reflectances to [0,1] value range (applied as reflectance/scaleFactor) Neccesary for calculating EVI/EVI2 with scaled reflectance values.
Logical. When EVI/EVI2 is to be calculated there is a rough heuristic check, whether the data are inside [0,1]+/-0.5 (after applying a potential scaleFactor
).
If there are invalid reflectances, e.g. clouds with reflectance > 1 this check will result in a false positive and skip EVI calculation. Use this argument to skip this check in such cases *iff* you are sure the data and scaleFactor are valid.
Character. One or more spectral indices to calculate (see Details). By default (NULL) all implemented indices given the spectral bands which are provided will be calculated.
Character. Alias for indices
.
RasterLayer or SpatRaster containing a mask, e.g. clouds, for which pixels are set to NA. Alternatively a layername or -number can be provided if the mask is part of img
.
Integer. Pixel value in maskLayer
which should be masked in output, i.e. will be set to NA
in all calculated indices.
List of coefficients (see Details).
further arguments such as filename etc. passed to writeRaster
spectralIndices
calculates all indices in one go in C++, which is more efficient than calculating each index separately (for large rasters).
By default all indices which can be calculated given the specified indices will be calculated. If you don't want all indices, use the indices
argument to specify exactly which indices are to be calculated.
See the table bellow for index names and required bands.
Index values outside the valid value ranges (if such a range exists) will be set to NA. For example a pixel with NDVI > 1 will be set to NA.
Index | Description | Source | Bands | Formula |
CLG | Green-band Chlorophyll Index | Gitelson2003 | redEdge3, green | \(redEdge3/green - 1\) |
CLRE | Red-edge-band Chlorophyll Index | Gitelson2003 | redEdge3, redEdge1 | \(redEdge3/redEdge1 - 1\) |
CTVI | Corrected Transformed Vegetation Index | Perry1984 | red, nir | \((NDVI + 0.5)/sqrt(abs(NDVI + 0.5))\) |
DVI | Difference Vegetation Index | Richardson1977 | red, nir | \(s * nir - red\) |
EVI | Enhanced Vegetation Index | Huete1999 | red, nir, blue | \(G * ((nir - red)/(nir + C1 * red - C2 * blue + L_evi))\) |
EVI2 | Two-band Enhanced Vegetation Index | Jiang 2008 | red, nir | \(G * (nir - red)/(nir + 2.4 * red + 1)\) |
GEMI | Global Environmental Monitoring Index | Pinty1992 | red, nir | \((((nir^2 - red^2) * 2 + (nir * 1.5) + (red * 0.5))/(nir + red + 0.5)) * (1 - ((((nir^2 - red^2) * 2 + (nir * 1.5) + (red * 0.5))/(nir + red + 0.5)) * 0.25)) - ((red - 0.125)/(1 - red))\) |
GNDVI | Green Normalised Difference Vegetation Index | Gitelson1998 | green, nir | \((nir - green)/(nir + green)\) |
KNDVI | Kernel Normalised Difference Vegetation Index | Camps-Valls2021 | red, nir | \(tanh(((nir - red)/(nir + red)))^2\) |
MCARI | Modified Chlorophyll Absorption Ratio Index | Daughtery2000 | green, red, redEdge1 | \(((redEdge1 - red) - (redEdge1 - green)) * (redEdge1/red)\) |
MNDWI | Modified Normalised Difference Water Index | Xu2006 | green, swir2 | \((green - swir2)/(green + swir2)\) |
MSAVI | Modified Soil Adjusted Vegetation Index | Qi1994 | red, nir | \(nir + 0.5 - (0.5 * sqrt((2 * nir + 1)^2 - 8 * (nir - (2 * red))))\) |
MSAVI2 | Modified Soil Adjusted Vegetation Index 2 | Qi1994 | red, nir | \((2 * (nir + 1) - sqrt((2 * nir + 1)^2 - 8 * (nir - red)))/2\) |
MTCI | MERIS Terrestrial Chlorophyll Index | DashAndCurran2004 | red, redEdge1, redEdge2 | \((redEdge2 - redEdge1)/(redEdge1 - red)\) |
NBRI | Normalised Burn Ratio Index | Garcia1991 | nir, swir3 | \((nir - swir3)/(nir + swir3)\) |
NDREI1 | Normalised Difference Red Edge Index 1 | GitelsonAndMerzlyak1994 | redEdge2, redEdge1 | \((redEdge2 - redEdge1)/(redEdge2 + redEdge1)\) |
NDREI2 | Normalised Difference Red Edge Index 2 | Barnes2000 | redEdge3, redEdge1 | \((redEdge3 - redEdge1)/(redEdge3 + redEdge1)\) |
NDVI | Normalised Difference Vegetation Index | Rouse1974 | red, nir | \((nir - red)/(nir + red)\) |
NDVIC | Corrected Normalised Difference Vegetation Index | Nemani1993 | red, nir, swir2 | \((nir - red)/(nir + red) * (1 - ((swir2 - swir2ccc)/(swir2coc - swir2ccc)))\) |
NDWI | Normalised Difference Water Index | McFeeters1996 | green, nir | \((green - nir)/(green + nir)\) |
NDWI2 | Normalised Difference Water Index | Gao1996 | nir, swir2 | \((nir - swir2)/(nir + swir2)\) |
NRVI | Normalised Ratio Vegetation Index | Baret1991 | red, nir | \((red/nir - 1)/(red/nir + 1)\) |
REIP | Red Edge Inflection Point | GuyotAndBarnet1988 | red, redEdge1, redEdge2, redEdge3 | \(0.705 + 0.35 * ((red + redEdge3)/(2 - redEdge1))/(redEdge2 - redEdge1)\) |
RVI | Ratio Vegetation Index | red, nir | \(red/nir\) | |
SATVI | Soil Adjusted Total Vegetation Index | Marsett2006 | red, swir2, swir3 | \((swir2 - red)/(swir2 + red + L) * (1 + L) - (swir3/2)\) |
SAVI | Soil Adjusted Vegetation Index | Huete1988 | red, nir | \((nir - red) * (1 + L)/(nir + red + L)\) |
SLAVI | Specific Leaf Area Vegetation Index | Lymburger2000 | red, nir, swir2 | \(nir/(red + swir2)\) |
SR | Simple Ratio Vegetation Index | Birth1968 | red, nir | \(nir/red\) |
TTVI | Thiam's Transformed Vegetation Index | Thiam1997 | red, nir | \(sqrt(abs((nir - red)/(nir + red) + 0.5))\) |
TVI | Transformed Vegetation Index | Deering1975 | red, nir | \(sqrt((nir - red)/(nir + red) + 0.5)\) |
WDVI | Weighted Difference Vegetation Index | Richardson1977 | red, nir | \(nir - s * red\) |
Some indices require additional parameters, such as the slope of the soil line which are specified via a list to the coefs
argument.
Although the defaults are sensible values, values like the soil brightnes factor L
for SAVI should be adapted depending on the characteristics of the scene.
The coefficients are:
Coefficient | Description | Affected Indices |
s | slope of the soil line | DVI, WDVI |
L_evi, C1, C2, G | various | EVI |
L | soil brightness factor | SAVI, SATVI |
swir2ccc | minimum swir2 value (completely closed forest canopy) | NDVIC |
swir2coc | maximum swir2 value (completely open canopy) | NDVIC |
The wavelength band names are defined following Schowengertd 2007, p10. The last column shows exemplarily which Landsat 5 TM bands correspond to which wavelength range definition.
Band | Description | Wavl_min | Wavl_max | Landsat5_Band | Sentinel2_Band | vis |
visible | 400 | 680 | 1,2,3 | 2,3,4 | red-edge1 | red-edge1 |
680 | 720 | - | 5 | red-edge2 | red-edge2 | 720 |
760 | - | 6 | red-edge3 | red-edge3 | 760 | 800 |
- | 7 | nir | near infra-red | 800 | 1100 | 4 |
8/8a | swir1 | short-wave infra-red | 1100 | 1351 | - | 9,10 |
swir2 | short-wave infra-red | 1400 | 1800 | 5 | 11 | swir3 |
short-wave infra-red | 2000 | 2500 | 7 | 12 | mir1 | mid-wave infra-red |
3000 | 4000 | - | - | mir2 | mid-wave infra-red | 45000 |
5000 | - | - | tir1 | thermal infra-red | 8000 | 9500 |
- | - | tir2 | thermal infra-red | 10000 | 140000 | 6 |
library(ggplot2)
library(terra)
## Calculate NDVI
ndvi <- spectralIndices(lsat, red = "B3_dn", nir = "B4_dn", indices = "NDVI")
ndvi
ggR(ndvi, geom_raster = TRUE) +
scale_fill_gradientn(colours = c("black", "white"))
# \donttest{
## Calculate all possible indices, given the provided bands
## Convert DNs to reflectance (required to calculate EVI and EVI2)
mtlFile <- system.file("external/landsat/LT52240631988227CUB02_MTL.txt", package="RStoolbox")
lsat_ref <- radCor(lsat, mtlFile, method = "apref")
SI <- spectralIndices(lsat_ref, red = "B3_tre", nir = "B4_tre")
plot(SI)
# }
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