Google Earth Engine Filter Out Incomplete Sentinel images by Geometry

Question

I need to filter out all images of a ee.imageCollection that is not complete (does not cover the entire geometry). I tried using .filterMetadata('MGRS_TILE') and I didn't make it. Any idea?

Here is my script: Google Earth Engine Script

var perimeter = ee.FeatureCollection(table);

var start = '2019-03-16'
var end = '2019-03-25'

var tiles = ['T20JML', 'T20JML']
var dataset = ee.ImageCollection('COPERNICUS/S2_SR').filterMetadata('MGRS_TILE', 'equals', '20JML')
                  .filterBounds(perimeter)
                  .filterDate(start, end)
                  .filterMetadata('CLOUDY_PIXEL_PERCENTAGE', 'less_than', 10);
print(dataset)
var ultima = dataset.first()

var imagen = ee.Image(ultima).normalizedDifference(['B8', 'B4'])

var minMax = imagen.reduceRegion({reducer: ee.Reducer.minMax(), 
                               geometry: perimeter})

var minMax = minMax.rename(minMax.keys(), ['max','min']);  

minMax.evaluate(function(val){
  var min = val.min;
  var max = val.max;

var visParam = {
        min: min,
        max: max,
        palette: ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',
    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',
    '012E01', '011D01', '011301']
        };
        
Map.addLayer(imagen.clip(perimeter), visParam, "Imagen Ultimo NDVI");
Map.setOptions('SATELLITE')
Map.centerObject(perimeter, 16)
Map.addLayer(perimeter, {}, "Perimetro Lote");

  
})

Answer 1

There are no other images with the characteristics you need (date range and cloud cover).

An option is to extend the date range to get the first image of the month, which covers your geometry.

var perimeter = ee.FeatureCollection(table);
var start = '2019-03-01'
var end = '2019-03-31'

var tiles = ['T20JML', 'T20JML']
var dataset = ee.ImageCollection('COPERNICUS/S2_SR')
                  .filterBounds(perimeter)
                  .filterDate(start, end)
                  .filterMetadata('CLOUDY_PIXEL_PERCENTAGE', 'less_than', 10)

var ultima = dataset.first()

var imagen = ee.Image(ultima).normalizedDifference(['B8', 'B4'])

var minMax = imagen.reduceRegion({reducer: ee.Reducer.minMax(), 
                               geometry: perimeter})

var minMax = minMax.rename(minMax.keys(), ['max','min']);  

minMax.evaluate(function(val){
  var min = val.min;
  var max = val.max;

var visParam = {
        min: min,
        max: max,
        palette: ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',
    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',
    '012E01', '011D01', '011301']
        };
        
Map.addLayer(imagen.clip(perimeter), visParam, "Imagen Ultimo NDVI");
Map.setOptions('SATELLITE')
Map.centerObject(perimeter, 16)
Map.addLayer(perimeter, {}, "Perimetro Lote");