How to download Satellite Images from the USGS, ESA and Google Earth Engine

This tutorial showcases different options for downloading satellite data (Landsat 8, Sentinel 2 and SRTM) from different sources.
I explain how to use the USGS Earth Explorer to search for different datasets and download Landsat 8 Level-1 and Level-2 data, give an overview on the Copernicus Hub which provides open access to data from the Sentinel missions, and finally I have a short introduction on how to download satellite data from Google Earth Engine. Google Earth Engine is my favorite source for satellite data, as you can directly clip your scene and select different bands within the Earth Engine coding environment. This way you don't have to download huge scenes when you only need a small snippet of it.

USGS Earth Explorer: https://earthexplorer.usgs.gov/
Copernicus Open Access Hub: https://scihub.copernicus.eu/
Google Earth Engine: https://earthengine.google.com/
Chapters:

0:00 Introduction
1:22 USGS Earth Explorer
6:22 Copernicus Open Access Hub
8:48 Google Earth Engine
Earth Engine Code for Sentinel 2:

var s2 = ee.ImageCollection('COPERNICUS/S2') // Level-C1 (TOA), for Level-2A (BOA) use 'COPERNICUS/S2_SR'
.filterBounds(geometry)
.filter(ee.Filter.lessThanOrEquals('CLOUDY_PIXEL_PERCENTAGE', 10))
.filter(ee.Filter.date('2020-05-01', '2020-05-31'))

var clip_all = function(img){
return img.clip(geometry)
}

var s2_clip = s2.map(clip_all)

var s2_list = s2_clip.toList(s2_clip.size())

var n = s2_list.size().getInfo()

for (var i = 0; i \< n; i++){ //put an actual angled bracket here
var img = ee.Image(s2_list.get(i))

var rgb = img.select('B2','B3', 'B4').float()
var date = img.date().format('yyyyMMdd').getInfo()
Map.addLayer(img, {bands: ['B4', 'B3', 'B2'], max: 5048}, 'Image_'+date)

//export
Export.image.toDrive({
image: rgb,
description: 'Sentinel2_RGB'+ date,
scale: 10,
region: geometry,
folder: 'paris'
})
}

Видео How to download Satellite Images from the USGS, ESA and Google Earth Engine канала Making Sense Remotely