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June 14, 2019
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NebraskaView

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).

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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.

 

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.

Example visualization of the U.S. Landsat Analysis Ready Data tile-based structure and time-series stacking.
Figure 1. 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.  

U.S. Landsat ARD are available for the conterminous United States, Alaska, and Hawaii using the following Landsat Collection 1 Level-1 data:

  • Landsat 8 Operational Land Imager (OLI)/ Thermal Infrared Sensor (TIRS) Tier 1, Tier 2
  • Landsat 7 Enhanced Thematic Mapper Plus (ETM+) Tier 1
  • Landsat 4-5 Thematic Mapper (TM) Tier 1

Eventually, Landsat 1-5 Multispectral Sensor (MSS) data will also be included in the ARD product suite once these data have been processed into the Landsat Collection inventory structure. Global Landsat ARD specifications are being developed and will be announced by the USGS once these are finalized.

 

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

 

EarthNow Upgrade Offers Near Real-Time Videos of Landsats 7, 8  --  https://earthnow.usgs.gov/observer/ EarthNow displays near real-time video of Landsat 7 and Landsat 8 as the satellites circle the globe.  When neither satellite is within viewing range of a ground station, the most recent overpass is displayed. EarthNow can also replay acquisition recordings from previous Landsat overpasses.

 

Peering Into the Future of Agricultural Change - Land use and land cover (LULC) change occurs at a local level within contiguous ownership and management units (parcels), yet LULC models primarily use pixel-based spatial frameworks. The few parcel-based models being used overwhelmingly focus on small geographic areas, limiting the ability to assess LULC change impacts at regional to national scales. USGS has developed a modified version of the Forecasting Scenarios of land use change model to project parcel-based agricultural change across a large region in the United States Great Plains. A scenario representing an agricultural biofuel scenario was modeled from 2012 to 2030, using real parcel boundaries based on contiguous ownership and land management units. The resulting LULC projection provides a vastly improved representation of landscape pattern over existing pixel-based models, while simultaneously providing an unprecedented combination of thematic detail and broad geographic extent. The conceptual approach is practical and scalable, with potential use for national-scale projections.

https://www.usgs.gov/news/peering-future-agricultural-change

Landsat 8 Preview Tool

 

EOS Data Analytics Land Viewer Application A new viewerl that allows you to explore Landsat 8 and Sentinel-2 satellite imagery in a variety of band combinations.

 

 

 

 

 

 

 

 


 

 

 

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