The following code is conceived to create a thumbnail image of landsat 7 images:
// Feature Collection
var aoi = geometry
print(aoi);
Map.addLayer(aoi);
var centroid = aoi.centroid(1)
print(centroid);
var coors = centroid.coordinates().getInfo()
var x = coors[0]
var y = coors[1];
Map.setCenter(x, y, 10);
// Elaborating the dates
// Getting Temperatures for Every Month
var period = ['-01-01', '-12-01'];
var years = [['1999', '2000'],
['2000', '2001'],
['2001', '2002'],
['2002', '2003'],
['2003', '2004'],
['2004', '2005'],
['2005', '2006'],
['2006', '2007'],
['2007', '2008'],
['2008', '2009'],
['2009', '2010'],
['2010', '2011'],
['2011', '2012'],
['2012', '2013'],
['2013', '2014'],
];
var add_period = function(year){
var start_date = period[0];
var end_date = period[1];
return [year[0] + start_date, year[1] + end_date];
};
var concatenate_year_with_periods = function(years, period){
return years.map(add_period);
};
var Dates = concatenate_year_with_periods(years, period);
/**********************************************************************
Landsat 7
***********************************************************************/
var visualization = {
bands: ['B4', 'B3', 'B2'],
min: 0.0,
max: 0.3,
};
var visualization_ = {
bands: ['B4_median', 'B3_median', 'B2_median'],
min: 0.0,
max: 0.3,
gamma: [0.95, 1.1, 1]
};
// Applies scaling factors.
var cloudMaskL7 = function(image) {
var qa = image.select('BQA');
var cloud = qa.bitwiseAnd(1 << 4)
.and(qa.bitwiseAnd(1 << 6))
.or(qa.bitwiseAnd(1 << 8));
var mask2 = image.mask().reduce(ee.Reducer.min());
return image
//.select(['B3', 'B4'], ['Red', 'NIR'])
.updateMask(cloud.not()).updateMask(mask2)
.set('system:time_start', image.get('system:time_start'));
};
var dataset = ee.ImageCollection('LANDSAT/LE07/C01/T1_TOA')
.filterDate('1999-01-01', '2020-12-31')
.filterBounds(aoi)
//.map(applyScaleFactors)
.map(cloudMaskL7)
.map(function(image){return image.clip(aoi)});
// Creating composites using median pixel value
var median_yearly_landsat_7 = function(start, end){
var dataset_ = dataset.filter(ee.Filter.date(start, end));
var median_yearly = dataset_.reduce(ee.Reducer.median());
return median_yearly;
};
var composite_name_list_l7 = ee.List([]);
var apply_monthly_composite = function(date_list){
var start = date_list[0];
var end = date_list[1];
var output_name = start + "TO" + end + "_LANSAT_7";
var composite = median_yearly_landsat_7(start, end);
composite_name_list_l7 = composite_name_list_l7.add([composite, output_name]);
Map.addLayer(composite, visualization_, output_name, false);
Export.image.toDrive({
image: composite,
description: output_name,
fileFormat: 'GeoTIFF',
crs : 'EPSG:4326',
folder : 'LANDSAT_LST_LAS_LOMAS',
region: aoi
});
return 0;
};
Dates.map(apply_monthly_composite);
/******************************************************************
// Animation gif
// Create RGB visualization images for use as animation frames.
/******************************************************************/
var text = require('users/gena/packages:text');
var annotated_collection_list = ee.List([])
var annotations = [
{position: 'left', offset: '0.25%', margin: '0.25%', property: 'label', scale: 1.5} //large scale because image if of the whole world. Use smaller scale otherwise
];
var create_annotated_collection = function(image_and_id) {
var img = image_and_id[0];
var image_id = image_and_id[1];
console.log(img);
console.log(image_id);
var img_out = img.visualize(visualization_)
.clip(aoi)//.paint(municipalities, 'FF0000', 2)
.set({'label': image_id});
Map.addLayer(img_out);
var annotated = text.annotateImage(img_out, {}, Bayern, annotations);
annotated_collection.add(annotated);
return 0;
};
var municipalities_geom = geometry;
var n = composite_name_list_l7.size().getInfo();
print(n);
for (var i = 0; i < n; i++) {
var img_info = ee.List(composite_name_list_l7.get(i));
print(img_info);
var img = ee.Image(img_info.get(0));
var img_id = ee.String(img_info.get(1));
var year = ee.String(ee.List(img_id.split("-").get(0)));
var month = ee.String(ee.List(img_id.split("-").get(1)));
var img_id_ = year.getInfo() + "_" + month.getInfo();
var img_out = img.visualize(visualization_)
.set({'label': img_id_});
var annotated = text.annotateImage(img_out, {}, municipalities_geom, annotations);
Map.addLayer(annotated);
var annotated_collection_list = annotated_collection_list.add(annotated)
}
var annotated_col = ee.ImageCollection(annotated_collection_list)
// Define GIF visualization parameters.
var gifParams = {
'region': geometry,
'dimensions': 254,
'crs': 'EPSG:32632',
'framesPerSecond': 1
};
// Print the GIF URL to the console.
print(annotated_col.getVideoThumbURL(gifParams));
// Render the GIF animation in the console.
print(ui.Thumbnail(annotated_col, gifParams));
However, this thumbnail appears black, but the images I load into the map project, are in the color visualization parameters that I need.
The geometry parameter is a Polygon I drew using the drawing tool. The coordinates are below:
Coordinates: List (1 element)
0: List (5 elements)
0: [-82.35277628512759,8.432445555054713]
1: [-82.314667459444,8.432445555054713]
2: [-82.314667459444,8.460632259476993]
3: [-82.35277628512759,8.460632259476993]
4: [-82.35277628512759,8.432445555054713]
Could someone tell my why the thumbnail appears black?