Global Long-Term Multi-Sensor Web-Enabled Landsat Data Record
The previous 2006 NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) solicitation funded the Web Enabled Landsat Data (WELD) project. The WELD project has demonstrated the capability to generate and distribute Landsat 7 ETM+ 30m composited and mosaicked Earth System Data Records (ESDRs) with a weekly, monthly, seasonal, and annual reporting frequency for the conterminous United States (CONUS) and Alaska. This proposal seeks to (1) extend the CONUS and Alaska WELD Earth System Data Record back to 1982 when the first Landsat 30m data started to be acquired and (2) to expand the WELD processing to global scale to provide Landsat 30m information for any terrestrial non-Antarctic location for six 3-year epochs spaced every 5 years from 1985 to 2010. Specifically, in collaboration with researchers at NASA's Ames Research Center and the University of Maryland, we propose to generate the following combined multi-sensor (Landsat 4, 5 TM and 7 ETM+) 30m products:
- Weekly, monthly, seasonal and annual products, CONUS and Alaska, 1982 to 2012, defined in the current WELD product Albers projection, generated at the PI's institution;
- Annual percent land cover and 5-year land cover change products, CONUS, 1985 to 2010, Albers projection, generated at the PI's institution;
- Monthly global products, for six epochs (1985, 1990, 1995, 2000, 2005, 2010), 36 months per epoch, defined in the Moderate Resolution Imaging Spectroradiometer (MODIS) Sinusoidal projection, generated on the NASA Earth Exchange (NEX) supercomputer at NASA AMES; and
- Global percent land cover and change for each 36 month epoch (1985, 1990, 1995, 2000, 2005, 2010), MODIS Sinusoidal projection, generated on USGS global 30m land cover initiative hardware at the U.S. Geological Survey Earth Resources Observation and Science (EROS) Center.
This MEaSUREs proposal directly supports the moderate global spatial resolution data needs of the climate and global change science communities and the needs of the applications community.
David Roy - PI, South Dakota State University
Last Updated: Nov 15, 2017 at 11:53 AM EST