Rocky Mountain National Park
Apr 27, 2018Watching A Quarter Century of North American Forest Dynamics with Landsat

Annual maps of the lower-48 United States produced from Landsat satellite data illustrate how these dynamic systems changed from 1986-2010.

northeast of sprague river village
Apr 26, 2018Solving the Riddle of Water Use in the Upper Klamath Basin

When it comes to water, when does less really mean more?

Landsat 9 logo
Apr 25, 2018Landsat 9 Successfully Passes Its Critical Design Review

Review board gives high praise to Landsat 9 project for its mission status.

Jeff Masek
Apr 23, 2018USGS Video: Landsat in Action—The Accuracy of Landsat with Jeff Masek

Landsat 9 Project Scientist Jeff Masek discusses the ways Landsat data is used and how important it is to have high quality data.

crop irrigation
Apr 23, 2018Landsat Imagery Sheds Light on Agricultural Water Use

Researchers armed with data from the Landsat Earth-observing satellites recently teamed up with Google to track water used for irrigation.

Patrick Hostert
Apr 18, 2018USGS Video: Landsat in Action—Studying Phenology with Patrick Hostert

Patrick Hostert from the University of Berlin discusses the value of Landsat’s long archive to studying phenology.

1989 L5 image
Apr 18, 2018LGAC Milestone Reached

The ​5 millionth scene received in support of the Landsat Global Archive Consolidation (LGAC) effort has been added into the USGS Landsat archive.

before and after mangrove images
Apr 13, 2018NASA Mapping Hurricane Damage to Everglades and Puerto Rico Forests

Last spring, NASA researchers flew over the Everglades and Puerto Rico to measure how mangroves and rainforests grow and evolve over time, then hurricanes Irma and Maria struck.

Successful Landsat 9 Ground System Review Held
Apr 10, 2018Successful Landsat 9 Ground System Review Held

Landsat 9 Ground System Preliminary Design Review a success.

soybean field
Apr 4, 2018Satellites, Supercomputers, and Machine Learning Provide Real-Time Crop Type Data

Scientists have proven a new technique for distinguishing the corn and soybean crops using satellite data and the processing power of supercomputers.