I am working on calculating NDVI values for both SEN2 and SEN3 from the same time frame and storing the results on my Google Drive. I have a feature collection called "region" which is an assemble of 4 fields (polygons) and is imported from my assets.

I run this code to compute and save NDVI values for each field and for both SEN2 and SEN3 but I am unable to save the outputs as the task cannot be complete due to this error:

Error: Collection.geometry, argument 'collection': Invalid type. Expected type: FeatureCollection. Actual type: Feature.

This is the code:

//define all AOI
var field1 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000000").first());
var field2 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000001").first());
var field3 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000002").first());
var field4 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000003").first());
var fields = [field1, field2, field3, field4];

//Get the ndvi for the specific field and time
function get_ndvi_sen2(region, startdate, enddate){
  region = ee.FeatureCollection(region)
  var ndvi_s2 = ee.ImageCollection('COPERNICUS/S2_SR')
    .filterDate(startdate, enddate)
    .map(function (image) {
      return image
        .normalizedDifference(['B8', 'B4'])

  var ndvi_s2_Features = ee.FeatureCollection(ee.List(ndvi_s2
    reducer: ee.Reducer.toList(),
    geometry: region,
    scale: 10
  .map(function (ndvi_s2) {
    return ee.Feature(null, {ndvi_s2: ndvi_s2});
  return ndvi_s2_Features;
function get_ndvi_sen3(region, startdate, enddate){
  var SEN3 = ee.ImageCollection('COPERNICUS/S3/OLCI')
                    .filterDate(startdate, enddate);

  // Select bands for NDVI and apply band-specific scale factors.
  var SEN_corr = SEN3.select(['Oa17_radiance', 'Oa08_radiance'])
                // Convert to radiance units.
                .divide(ee.Image([0.00493004, 0.00876539]));
  region = ee.FeatureCollection(region)
  var ndviSEN3 = SEN_corr
        .normalizedDifference(['Oa17_radiance', 'Oa08_radiance'])

  var ndviFeatures = ee.FeatureCollection(ee.List(ndviSEN3
      reducer: ee.Reducer.toList(),
      geometry: region,
      scale: 10
    .map(function (ndviSEN3) {
      return ee.Feature(null, {ndviSEN3: ndviSEN3});
  return ndviFeatures;
function write_to_drive(col, disc, selc, folder){
    collection: col,
    description: disc,
    selectors: selc,
    folder: folder

var start = '2019-03-1'
var end = '2019-04-01'
var sen2_disc, sen2_selc = 'ndvi_s2';
var sen3_disc, sen3_selc = 'ndviSEN3';
var sen2_folder = 'GOOD/SEN2'
var sen3_folder = 'GOOD/SEN3'

for (var i in fields){
  var sen2_loop = get_ndvi_sen2(fields[i], start, end);
  var sen3_loop = get_ndvi_sen3(fields[i], start, end);

You write

var field1 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000000").first());

You haven't defined the global variable region in the code you shared, but assuming it is a collection of features, first() of it is a feature, not a feature collection.

Unfortunately, while the documentation of ee.FeatureCollection() says that it converts single Features to FeatureCollections, this doesn't appear to work all the time. (I've reported this as a bug.)

Try this:

var field1 = ee.FeatureCollection(region.filterMetadata("system:index","equals","00000000000000000000"));

That way you actually have a FeatureCollection, that happens to contain a single element, and you don't need to take the extra step of .first().

| improve this answer | |
  • Thank you, works perfectly! – Sahar Attia Apr 24 at 8:44

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