About NebraskaView

NEView Title and Satelitte Image of Irrigated Farms

NebraskaView is Nebraska's state node for AmericaView, a nationwide
consortium that supports the use of remotely-sensed data through applied remote sensing research, K-12 and higher STEM education, workforce development, and technology transfer.

NebraskaView's mission is to ensure that Nebraskans (e.g., state and local agencies, K-16 educators) make the fullest use of geospatial data products (such as Landsat images, digital aerial photographs, and digital elevation data) and technologies such as geographic information systems (GIS).

America View

Announcements & News

Landsat 9 Mission Status

The Landsat 9 mission continues to meet its milestones, ensuring that the Landsat 9 mission remains on schedule for a launch readiness date of December 2020. For more details please visit the Landsat update.

Landsat 9 Logo

U.S. Landsat Analysis Ready Data (ARD)

U.S. Landsat Analysis Ready Data (ARD) are products that make the Landsat archive more accessible, easier to analyze, and reduce the amount of time users spend on data processing for time series analysis. U.S. Landsat ARD are derived from Landsat Collection 1 Level-1 precision and terrain-corrected scenes which are further processed and arranged in geospatially-calibrated tiles and dense temporal stacks for immediate use for monitoring and assessing landscape change.

LANDSAT tile based structure
Example visualization of the U.S. Landsat Analysis Ready Data tile-based structure and time-series stacking.

U.S. Landsat ARD are the first USGS data to be placed into the ARD tile grid-based structure. Figure 1 depicts the tile grid structure, how the selected tiles align over Landsat scenes, and how time-series data stacks can be created. Figure 1 above shows the ARD tile grid structure, how the selected tiles (blue squares) align over Landsat scenes (red square), and how time-series data stacks can be created.

Mapping the World's Most Precious Resource

A 'Ted' talk presented by Alan Belward that highlughts the power of the Landsat archive when mapping surface water. https://www.youtube.com/watch?v=KqyKXUMPHg8