New answers tagged landsat-8
1
This a common mistake, since you're new in GEE, maybe you didn't notice it. Once created the visParams object, needs to be called from Map.addLayer() function:
Map.addLayer(filteredCollection,visParams);
I recommend you to stretch a bit the visualization range:
var visParams = {bands: ['B4', 'B3', 'B2'],min:0,max:0.25};
Map.addLayer(filteredCollection, ...
0
You could draw a polygon around the right an add it as a region parameter on your export:
Export.image.toDrive({
image: yourexport,
description: name,
scale: 30,
maxPixels: 318651567139,
region: geometry // the polygon added around the right image
});
0
I fixed it by converting every image to integer 16. As @Kevin posted, collections have different band profiles.
Solution is:
var resample = function (image){
return image.int16().resample('bilinear').reproject({
crs: L8.first().projection().crs(),
scale: 20
1
Consider using the IsNull() spatial analyst tool. This creates a binary raster 1 for where it is NODATA and 0 for all other values. As the output is an integer grid you can create an attribute table and simply count how many 1 cells you have and that's your area.
This could very easily be wrapped up in ModelBuilder for mass automation.
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