“The availability and accessibility of remotely sensed digital imagery obtained from Landsat satellites allow coastal scientist—and more importantly community members—the opportunity to map, evaluate and continuously monitor shoreline movement at regular intervals given the unprecedented pace of Arctic climate change.”

“From a valuation standpoint, Landsat is an extremely valuable public good just in its direct use—let alone the economic value of all the indirect uses built on the direct data.”

“This [Google Earth] update was made possible in a large part thanks to the Landsat program and its commitment to free and accessible open data. Landsat, a joint program of the USGS and NASA, has observed the Earth continuously from 1972 to the present day and offers a wealth of information on the changes to the Earth’s surface over time.”

“Landsat 8 imagery is an incredibly powerful resource. It is some of the most valuable open data produced by the US Government. Our partners rely on Landsat data for everything from evaluating droughts to tracking conflict.”

“Population in 1972… was around 4 billion people. When we launched Landsat 8 there was 7 billion people on the surface of the planet. Due to those factors our land use and land cover has changed dramatically and continues to change and we use the information and the images from the Landsat satellites to understand the change, to study the trends, and to predict the future.”

“With a launch in 2023, Landsat 9 would propel the program past 50 years of collecting global land cover data. That’s the hallmark of Landsat: the longer the satellites view the Earth, the more phenomena you can observe and understand.”

“Thanks to Landsat, we were able to dramatically improve our satellite base map in Google Earth and Google Maps on two separate occasions, first in 2013, and again in June 2016. Our most recent 15 meter-per-pixel global mosaic was made from over 1.5 million Landsat 7 and Landsat 8 images and forms the view of Earth you see across our mapping products for the first twelve zoom levels of the imagery basemap.”

“The Landsat data record has been key to the Intertidal Extents Model methodology. Having such an extensive and dense time series of data has enabled us to partition the data into discrete tidal stages, and still be able to deal with issues such as cloud and cloud shadow—that is particularly crucial when dealing with the different conditions we encounter across the continent.”