CALCULATE NDVI OF SENTINEL 2 IN GOOGLE EARTH ENGINE

In this tutorial, I will present how to calculate NDVI of Sentinel 2 in Google Earth Engine.
The Normalized Difference Vegetation Index (NDVI) measures the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs) to quantify vegetation. NDVI always ranges from -1 to +1. If there are no green leaves, the value is zero. A zero denotes no vegetation, whereas a value close to +1 (0.8-0.9) suggests the highest density of green leaves conceivable. However, the land cover type does not have its specific limit of NDVI values.
The formula for calculating NDVI is as follows:
NDVI = (NIR - RED)/(NIR + RED)
NIR - reflection in the near-infrared spectrum
RED - reflection in the red range of the spectrum
The output range of NDVI calculation typically varies from -1.0 to 1.0.
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#sentinel2
#ndvi
#NDVI
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[@khyatinkadam8032]

hello, if i want to use this data for machine learning model how can i use it? if you have any idea can you share?

[@oliver240894]

bro, how you fix the clouds when you take an image? I try to do this method in Ecuador but in my country I have so many clouds, please can you add that part for the same case to calculate the NDVI, PLEASE.

[@gisrsprofessionals6246]

increase cloud cover for that image of your area of interest

[@tasniahaque5934]

Can i please get the code?

[@M.R-xg9wo]

var S2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterDate('2020-02-01', '2020-02-28')
.filterBounds(AOI)
.median();
// print(S2);
//COMPUTE NDVI
var NIR = S2.select('B8');
var RED = S2.select('B4');
var ndvi = NIR.subtract(RED).divide(NIR.add(RED)).rename('NDVI');
var NDVI = ndvi.clip(AOI);
var ndviparam = {min: -1, max: 1, palette : ['Blue', 'yellow', 'green']};
Map.addLayer(NDVI, ndviparam, 'NDVI');

[@jonyalmeida1990]

share o code please!

[@gisrsprofessionals6246]

email me

[@andufalador9813]

I don`t know why, but image is grey, the program ignore the pallete

[@ananilinneain3061]

This happened to me also cause I spelt palette wrong accidentally put in two Ls

[@gisrsprofessionals6246]

please review min and max value and have you add visualization variable to map.addlayer

[@AlpineTrekker]

share code

[@doobys5269]

hello:) please share the code, thank you

[@M.R-xg9wo]

var S2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterDate('2020-02-01', '2020-02-28')
.filterBounds(AOI)
.median();
// print(S2);
//COMPUTE NDVI
var NIR = S2.select('B8');
var RED = S2.select('B4');
var ndvi = NIR.subtract(RED).divide(NIR.add(RED)).rename('NDVI');
var NDVI = ndvi.clip(AOI);
var ndviparam = {min: -1, max: 1, palette : ['Blue', 'yellow', 'green']};
Map.addLayer(NDVI, ndviparam, 'NDVI');

[@kumaranant325]

Please share the code

[@gisrsprofessionals6246]

email me

[@M.R-xg9wo]

var S2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterDate('2020-02-01', '2020-02-28')
.filterBounds(AOI)
.median();
// print(S2);
//COMPUTE NDVI
var NIR = S2.select('B8');
var RED = S2.select('B4');
var ndvi = NIR.subtract(RED).divide(NIR.add(RED)).rename('NDVI');
var NDVI = ndvi.clip(AOI);
var ndviparam = {min: -1, max: 1, palette : ['Blue', 'yellow', 'green']};
Map.addLayer(NDVI, ndviparam, 'NDVI');

[@haifagis3568]

Please share the code

[@gisrsprofessionals6246]

share your email address

[@M.R-xg9wo]

var S2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterDate('2020-02-01', '2020-02-28')
.filterBounds(AOI)
.median();
// print(S2);
//COMPUTE NDVI
var NIR = S2.select('B8');
var RED = S2.select('B4');
var ndvi = NIR.subtract(RED).divide(NIR.add(RED)).rename('NDVI');
var NDVI = ndvi.clip(AOI);
var ndviparam = {min: -1, max: 1, palette : ['Blue', 'yellow', 'green']};
Map.addLayer(NDVI, ndviparam, 'NDVI');

[@girishchandrapandey1924]

please shae the code

[@M.R-xg9wo]

var S2 = ee.ImageCollection("COPERNICUS/S2_SR")
.filterDate('2020-02-01', '2020-02-28')
.filterBounds(AOI)
.median();
// print(S2);
//COMPUTE NDVI
var NIR = S2.select('B8');
var RED = S2.select('B4');
var ndvi = NIR.subtract(RED).divide(NIR.add(RED)).rename('NDVI');
var NDVI = ndvi.clip(AOI);
var ndviparam = {min: -1, max: 1, palette : ['Blue', 'yellow', 'green']};
Map.addLayer(NDVI, ndviparam, 'NDVI');