I am new to Google Earth Engine and satellite imagery in general. My goal is to export bands B1-B7 from the [Landsat 8 image collection][2] over a given geometry and be able to visualize each band (or combination of bands) in a jupyter notebook. However, I am only able to export the median of my geometry in order to convert the image collection to an image. How can I export my geometry in a way that doesn't capture the median of each band?
/**
* Function to mask clouds based on the pixel_qa band of Landsat 8 SR data.
* @param {ee.Image} image input Landsat 8 SR image
* @return {ee.Image} cloudmasked Landsat 8 image
*/
function maskL8sr(image) {
// Bits 3 and 5 are cloud shadow and cloud, respectively.
var cloudShadowBitMask = (1 << 3);
var cloudsBitMask = (1 << 5);
// Get the pixel QA band.
var qa = image.select('pixel_qa');
// Both flags should be set to zero, indicating clear conditions.
var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0)
.and(qa.bitwiseAnd(cloudsBitMask).eq(0));
return image.updateMask(mask);
}
var dataset = ee.ImageCollection('LANDSAT/LC08/C01/T1_SR')
.filterDate('2016-01-01', '2016-12-31')
.map(maskL8sr);
var landsat8 = dataset.median().clip(polygon);
var visParams = {
bands: ['B1', 'B2', 'B3', 'B4', 'B5', 'B6', 'B7'],
min: 0,
max: 3000,
gamma: 1.4,
};
Map.setCenter(13.534922,-12.350257, 16);
Map.addLayer(landsat8.median(), visParams);
Export.image.toDrive({
image: landsat8,
scale: 30
})