¿Es posible con GEE exportar todas las imágenes de una colección de imágenes?

Question

Quiero descargar una colección de imágenes con 36 imágenes de mi script en GEE y seleccionar las tres bandas de cada imagen ('NDVI_mean','LST_mean',FV_mean'). He probado muchas soluciones que se publican en gis.stackexchange pero no funciona. ¿Es posible exportar todas las imágenes en una colección de imágenes o hay que descargar cada imagen por separado? el error es :

Error: Image.clipToBoundsAndScale, argumento 'input': Tipo inválido.
Esperado: Imagen< unknown bands >. Actual: ImageCollection.

El código está aquí

Map.centerObject(Scotty, 13);

//cloud mask landsat7,landsat5, and landsat8 based on the pixel_qa band of Landsat SR data.
// function for cloud masking on three types of lan dsat

var LC8_BANDS = ['B4',  'B5', 'B10','pixel_qa']; //Landsat 8
var LC7_BANDS = ['B3',  'B4','B6','pixel_qa']; //Landsat 7
var LC5_BANDS = [ 'B3',  'B4','B6','pixel_qa']; //Llandsat 5
var STD_NAMES = ['red', 'nir', 'temp','qa'];

var cloudmasklandsat7and5and8= function(image){
    var Qlandsat5and7= image.select('qa');
    var cloudShadowBitMask = (1 << 3);
    var cloudsBitMask = (1 << 5);
    var mask5and7=Qlandsat5and7.clip(Scotty).bitwiseAnd(cloudShadowBitMask).eq(0)
                                   .and(Qlandsat5and7.bitwiseAnd(cloudsBitMask).eq(0));
    return image.updateMask(mask5and7);
};

var landsat8 = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR').select(LC8_BANDS, STD_NAMES)
                  .filterDate('2013-01-01', '2019-12-31')
                  .filterBounds(Scotty)
                  .filter(ee.Filter.lt('CLOUD_COVER', 25))
                 .map(cloudmasklandsat7and5and8);

var landsat7 = ee.ImageCollection('LANDSAT/LE07/C01/T1_SR').select(LC7_BANDS, STD_NAMES)
                  .filterDate('1984-01-01', '2012-12-31')
                  .filterBounds(Scotty)
                  .filter(ee.Filter.lt('CLOUD_COVER', 25))
                 .map(cloudmasklandsat7and5and8);

var landsat5 = ee.ImageCollection('LANDSAT/LT05/C01/T1_SR').select(LC7_BANDS, STD_NAMES)
                  .filterDate('1984-01-01', '2012-12-31')
                  .filterBounds(Scotty)
                  .filter(ee.Filter.lt('CLOUD_COVER', 25))
                 .map(cloudmasklandsat7and5and8);

var landsatcolor={
  min: 0,
  max: 3000,
  gamma: 1.4,
};
//Map.addLayer(landsat8,landsatcolor, 'Landsat8' );
//Map.addLayer(landsat7,landsatcolor, 'Landsat7' );
//Map.addLayer(landsat5,landsatcolor, 'Landsat5' );

  // totall image collection
var landsatimage = ee.ImageCollection(landsat5.merge(landsat7).merge(landsat8));
Map.addLayer(landsatimage,landsatcolor, 'Landsat' );

 //    NDVI

 var setNdviMinMax=function (img) {
  var minMax = img
    .select('NDVI')
    .reduceRegion({
      reducer: ee.Reducer.minMax(),
      scale: 30,
      maxPixels: 1e13
    })
    ;
  return img.set({
    'NDVI_min': minMax.get('NDVI_min'),
    'NDVI_max': minMax.get('NDVI_max'),
  }).toFloat();
};
var NDVI=function(image){
  var ndvi = image.addBands(image.normalizedDifference(['nir', 'red']).rename('NDVI'));
  return setNdviMinMax(ndvi).clip(Scotty).toFloat();
};

  var ndviParams = {
  min: -1,
  max: 1.0,
  palette: [
    'FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901',
    '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01',
    '012E01', '011D01', '011301'
  ],
};

var landsatwithndvi=landsatimage.map(NDVI).filter(ee.Filter.notNull(['NDVI_min', 'NDVI_max']));
print(landsatwithndvi);
Map.addLayer(landsatwithndvi.select('NDVI').filter(ee.Filter.notNull(['NDVI_min', 'NDVI_max'])), ndviParams, 'landsatNdvi');

var addMinMaxBands=function (img) {
  var minMaxBands = ee.Image.constant([
    img.get('NDVI_min'),
    img.get('NDVI_max')])
    .rename(['NDVImin', 'NDVImax']);
  return img.clip(Scotty).addBands(minMaxBands).toFloat();
};
 //2: map the min max function on collection
var landsatNdviminmax = landsatwithndvi.map(addMinMaxBands).filterBounds(Scotty);
print(landsatNdviminmax);

//fv 
var addFVband=function (img) {
  var ndvi = img.select('NDVI');
  var ndviMin = img.select('NDVImin');
  var ndviMax = img.select('NDVImax');
  var fvBand = ndvi
    .subtract(ndviMin)
    .divide(ndviMax.subtract(ndviMin))
    .rename('FV');
  return img.clip(Scotty).addBands(fvBand).toFloat();
};
//4: fv COLLECTION FOR LANDSAT
var landsatfv= landsatNdviminmax.map(addFVband);
print(landsatfv);

// Em

var addEMband=function (img){
  var FVb = img.select('FV');
  var a= ee.Number(0.004);
  var b= ee.Number(0.986);
  var EMBand = FVb
    .multiply(a).add(b).rename('EM');
  return img.addBands(EMBand).toFloat();
};

//5: EM COLLECTION FOR EACH LANDSAT

var landsatEM= landsatfv.map(addEMband);
print(landsatEM);

//6: Thermal landsat 
var LST=function(image){
  var Thermal = image.addBands(image.select('temp').multiply(0.1).rename('Thermal'));
  return Thermal};

var landsatthermal= landsatEM.map(LST);
print(landsatthermal);

var LStfunction = function(image){
  var LSTEQ=image.expression(
    '(Tb/(1 + (0.001145* (Tb / 1.438))*log(Ep)))-273.15', {
      'Tb': image.select('Thermal'),
      'Ep': image.select('EM')}).rename('LST');
 return  image.addBands(LSTEQ)};

var LST= landsatthermal.map(LStfunction);
print(LST);

/*Map.addLayer(LinearFit.select([0]), 
  {min:-0.03, max:0.03, palette:BlueToBrown}, 
  'Linear Trend',
  false);*/

Map.addLayer(LST.select('LST'),{min: -30, max: 32, palette: ['white','blue','green','yellow' ,'red']},'LST');

/////////////// End of LST calculation for each image

/// Annual mean LST

var years = ee.List.sequence(1984, 2019);
print (years);
var collectYear = ee.ImageCollection(years
  .map(function(y) {
    var start = ee.Date.fromYMD(y, 1, 1);
    var end = start.advance(12, 'month');
    return LST.filterDate(start, end).reduce(ee.Reducer.mean()).float();
}));
print (collectYear);

Map.addLayer(collectYear.select('LST_mean'),{min: -30, max: 32, palette: ['white','blue','green','yellow' ,'red']},'LST_Annual');

var finalCollection = collectYear.map(function(image){
  return image.visualize({bands: ['LST_mean', 'NDVI_mean'], min: -40, max: 40});
});
/*Export.video.toDrive({
  collection: finalCollection,
  description: 'yearly',
  dimensions: 1080,
  framesPerSecond: 1,
  region: Scotty
});*/

/// export mean anuual images from collectyear image collection
 Export.image.toDrive({
  image: collectYear.select('LST_mean').select('NDVI_mean').select('FV_mean'),
  description: 'LST_Mean',
  scale: 10,
  maxPixels: 3784216672400,
  region: Scotty,
  });

Answer 1

Tendrá que exportar cada imagen de la colección por separado. Puede desencadenar las exportaciones con su script, pero habrá un montón de clics manuales en el botón "Ejecutar".

collectYear
  .aggregate_array('system:index')
  .evaluate(function (indexes) {
    indexes.forEach(function (index) {
      var image = collectYear
        .filterMetadata('system:index', 'equals', index)
        .first()
      var description = 'LST_Mean-' + index.replace(/[^\w]/, '_')
      Export.image.toDrive({
        image: image.select('LST_mean'),
        description: description,
        scale: 10,
        maxPixels: 3784216672400,
        region: Scotty,
      });      
    })
})

https://code.earthengine.google.com/bd7e38caf3eadbb6b901fe683d9750db