File size: 6,000 Bytes
64ab846 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | function setup() {
return {
input: [{
bands: [
"B02", // Blue
"B03", // Green
"B04", // Red
"B05", // Vegetation red edge, 704.1 nm (S2A), 703.8 nm (S2B)
"B06", // Vegetation red edge, 740.5 nm (S2A), 739.1 nm (S2B)
"B08", // Nir-Infrared
"B11", // SWIR (20m res)
"SCL" // instead of CLM. it is the scene classification
//"dataMask"
],
units: 'DN' // "reflectance"
//For Sentinel-2, digital numbers are divided by 10,000 to get reflectance. If you want to calculate
//normalized difference indices for optical bands scaling is relevant. In such cases,
//it makes sense to use digital numbers (DN) as units. Doing so will be very slightly faster since reflectance
//conversion will be avoided.
}],
output: [
{
id: "vi_values",
bands: 25,
sampleType: SampleType.FLOAT32
} ]
};
}
// final shape as RGB-NIR
function evaluatePixel(sample) {
let cloud_mask = ([8, 9, 10].includes(sample.SCL)) ? 1 : 0; // this classes correspond to clouds
let ndvi = (sample.B08 - sample.B04)/(sample.B08 + sample.B04);
let grvi = (sample.B08) / (sample.B03);
let rvi = (sample.B08) / (sample.B04);
let rgi = (sample.B04) / (sample.B03);
let aci = (sample.B03) / (sample.B08);
let maci = (sample.B08) / (sample.B03);
let gndvi = (sample.B08 - sample.B03) / (sample.B08 + sample.B03);
let ngrdi = (sample.B03 - sample.B04) / (sample.B03 + sample.B04); // also know as mngrdi
let ngbdi = (sample.B03 - sample.B02) / (sample.B03 + sample.B02);
// let rgbvi = () / () rgbvi = (np.square(self.green.astype(float)) - (self.red.astype(float) * self.blue.astype(float))) / (np.square(self.green.astype(float)) + (self.red.astype(float) * self.blue.astype(float)))
let bgvi = (sample.B02) / (sample.B03);
let brvi = (sample.B02) / (sample.B04);
// exg = (2 * self.green.astype(float)) - self.red.astype(float) - self.blue.astype(float)
let wi = (sample.B03 - sample.B02) / (sample.B04 - sample.B03);
let varig = (sample.B03 - sample.B04) / (sample.B03 + sample.B04 - sample.B02 );
let gli = (sample.B03 + sample.B03 - sample.B04 - sample.B02) / (sample.B03 + sample.B03 + sample.B04 - sample.B02);
//tgi = (self.green.astype(float) - 0.39 * self.red.astype(float) - 0.61 * self.blue.astype(float))
//twoGRGi = (self.green.astype(float) + self.green.astype(float) - self.red.astype(float) - self.blue.astype(float))
let g_perc = (sample.B03) / (sample.B03 + sample.B04 + sample.B02);
//let cloud_mask = sample.CLM;
// let data_mask = sample.dataMask; no apparent benefit
let ndmi = (sample.B08 - sample.B11) / (sample.B08 + sample.B11);//Sentinel-2 NDMI = (B08 - B11) / (B08 + B11) - https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/ndmi/
let ndwi = (sample.B03 - sample.B08) / (sample.B03 + sample.B08); //Sentinel-2 NDWI = (B03 - B08) / (B03 + B08) - https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/ndwi/
// // same as ndwi (normalized difference moisture index and normalized difference water index)
// https://eos.com/blog/vegetation-indices/
let reci = (sample.B08 / sample.B04) - 1;// (NIR / RED) – 1
let ndre_lower_end = (sample.B08 - sample.B05) / (sample.B08 + sample.B05); // (NIR – RED EDGE) / (NIR + RED EDGE)
let ndre_upper_end = (sample.B08 - sample.B06) / (sample.B08 + sample.B06);
let msavi = (2 * sample.B04 + 1 - Math.sqrt((2 * sample.B04 + 1) ** 2 - 8 * (sample.B04 - sample.B03))) / 2; // (2 * Band 4 + 1 – sqrt ((2 * Band 4 + 1)2 – 8 * (Band 4 – Band 3))) / 2
// let savi = ((NIR – red) / (NIR + red + L)) * (1 + L)
// NOT WORKING WITH 0.16 SUMMED TO INT let osavi = (sample.B08 - sample.B04)/(sample.B08 + sample.B04 + 0.16) (NIR – red) / (NIR + red + 0.16) 0.16 is default soil-adjustment factor (default is 0.5)
let arvi = (sample.B08 - (2 * sample.B04) + sample.B02) / (sample.B08 + (2 * sample.B04) + sample.B02); // (NIR – (2 * RED) + BLUE) / (NIR + (2 * RED) + BLUE)
// NOT WORKING WITH 1 SUMMED TO INT let evi = // 2.5 * ((NIR – RED) / ((NIR) + (C1 * RED) – (C2 * BLUE) + L)) with C1=6, C2=7.5, and L=1
// LAI
let sipi = (sample.B08 - sample.B02) / (sample.B08 + sample.B02); // (NIR – BLUE) / (NIR – RED)
let gci = (sample.B08 / sample.B02) -1; // NIR / GREEN – 1
return {
vi_values: [cloud_mask,
ndvi,
grvi,
rvi,
rgi,
aci,
maci,
gndvi,
ngrdi,
ngbdi,
bgvi,
brvi,
wi,
varig,
gli,
g_perc,
ndmi,
ndwi,
reci,
ndre_lower_end,
ndre_upper_end,
msavi,
arvi,
sipi,
gci
]
}
}
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