Hfrhyu

I am trying to export each image in a filtered stack of Sentinel-1 images and cannot seem to get it right.

Think link suggests using imageCollection.map() and a custom function (such as a geometric clip).

// Create a geometry representing an export region.
var roi = ee.Geometry.Rectangle([-63.0, 9.2, -63.1, 9.3]);


// Load the Sentinel-1 ImageCollection.
var sentinel1 = ee.ImageCollection('COPERNICUS/S1_GRD');


// Filter by metadata properties.
var IW_H = sentinel1
 // Filter to get images with VV and VH dual polarization.
 .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VV'))
 .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VH'))
 // Filter to get images collected in interferometric wide swath mode.
 .filter(ee.Filter.eq('instrumentMode', 'IW'))
 // Filter IWs to get High res.
 .filter(ee.Filter.eq('resolution', 'H'))
 // Filter IW-Highs to get 10m res
 .filter(ee.Filter.eq('resolution_meters', 10));


// Filter to get images from different look angles 
var DescCollection = IW_H.filter(ee.Filter.eq('orbitProperties_pass', 'DESCENDING'));


var ClipFunc = function(iImage, geom) 
 var iClip = clip(iImage, geom);
 return(iClip);
;


imageCollection.map(ClipFunc(DescCollection, roi));

Export.image.toDrive is a client-side function, and you cannot call it from a server-side function (the one you are mapping over), so you have to do it all in the client side. I have a repo where you can find a bunch of useful functions: https://github.com/fitoprincipe/geetools-code-editor
There is a function to export all images from an ImageCollection to the Drive cloud.

var tools = require('users/fitoprincipe/geetools:batch')

// Create a geometry representing an export region.
var roi = ee.Geometry.Rectangle([-63.0, 9.2, -63.1, 9.3]);


// Load the Sentinel-1 ImageCollection.
var sentinel1 = ee.ImageCollection('COPERNICUS/S1_GRD');


// Filter by metadata properties.
var IW_H = sentinel1
 // Filter to get images with VV and VH dual polarization.
 .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VV'))
 .filter(ee.Filter.listContains('transmitterReceiverPolarisation', 'VH'))
 // Filter to get images collected in interferometric wide swath mode.
 .filter(ee.Filter.eq('instrumentMode', 'IW'))
 // Filter IWs to get High res.
 .filter(ee.Filter.eq('resolution', 'H'))
 // Filter IW-Highs to get 10m res
 .filter(ee.Filter.eq('resolution_meters', 10));


// Filter to get images from different look angles 
var DescCollection = IW_H.filter(ee.Filter.eq('orbitProperties_pass', 'DESCENDING'));

batch.ImageCollection.toDrive(DescCollection, 'Folder', 
 scale: 10, 
 region: roi.getInfo()["coordinates"], 
 type: 'float')

You can find the complete code in here and the documentation here

Despite my efforts,

I was unable to apply Rodrigo E. Principe's algorithm. The GEE states the following phrase:

"Cannot read property 'toDrive' of undefined"

I tried to run the algorithm for two different imageCollections, but the same error occured in both. The first was Rodrigo's Dataset (SENTINEL-1 data), exactly as stated in his answer above. The second trial was over precipitation data. This later algorithm is presented below.

 var batch = require('users/fitoprincipe/geetools:batch');
 var Municipios = ee.FeatureCollection("ft:1YvIAGUsonY9NVnSJETwkWjj_UO_Db0zqSHx2WHIs");

print(Municipios.limit(20), 'Municipios 500x500m2');


var roi = Municipios.geometry().dissolve().bounds();

print(roi, 'roi');

print(roi.getInfo()["coordinates"], 'get info coordinates from roi');

// Display the sample region.
Map.centerObject(roi, 5);
Map.addLayer(ee.Image().paint(roi, 0, 2), , 'ROI');



// Load a pre-computed Landsat composite for input.
var precipitation = ee.ImageCollection('UCSB-CHG/CHIRPS/DAILY')
 .filterDate('1981-01-01', '2019-12-31')
 .select('precipitation')
 .filterBounds(Municipios.geometry().dissolve().bounds())
 .map(function(image) 
 // Data to .
 return image.set('system:time_start', image.get('system:time_start'));
 );

Map.addLayer(precipitation, 'bands': ['precipitation'], min:0, max:2000, 'collection');




batch.ImageCollection.toDrive(precipitation, 
 'Precipitation_daily_data', 
 scale: 1000, 
 maxPixels:5000000000,
 region: roi.getInfo()["coordinates"], 
 type: 'float')

I would like to state that I paid attention to the directory into which the dataset would be downloaded in my Google Drive ('Precipitation_daily_data'), so to garantee beforehand that it would exist, as states in the batch manual cited by Rodrigo.

I thank you for your time,

Sincerely yours,

Philipe R. Leal