To circumvent downloading, a new format has been proposed for Cloud storage called Cloud-optimized Geotiffs (COGs), to allow easy access to individual bands or even subsets of single images. tar.gz file, which requires scientists to download the entire 1 Gb, even if you are just interested in a single band or subset of the image. We start by importing all the python libraries we need in this tutorial: import rasterio import ot import pyproj import numpy as np import matplotlib import matplotlib.pyplot as plt Satellite archives on the CloudĪ single Landsat8 scene is about 1 Gb in size since it contains a large array of data for each imagery band. One reason we’ll use Landsat 8 for this demo is that the entire Landsat 8 archive is hosted by various commercial Cloud providers with free public access ( AWS and Google Cloud)! Landsat is multiband imagery, you can read more about it here. The duration of the landsat program makes it an attractive source of medium-scale imagery for land surface change analyses. Landsat observations are processed into “scenes”, each of which is approximately 183 km x 170 km, with a spatial resolution of 30 meters and a temporal resolution of 16 days. Landsat 8 is the latest satellite in this program, and was launched in 2013. The Landsat program is the longest-running civilian satellite imagery program, with the first satellite launched in 1972 by the US Geological Survey.
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