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Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States

September 19, 2009

Since January 2008, the U.S. Department of Interior / U.S. Geological Survey have been providing free terrain-corrected (Level 1T) Landsat Enhanced Thematic Mapper Plus (ETM+) data via the Internet, currently for acquisitions with less than 40% cloud cover. With this rich dataset, temporally composited, mosaics of the conterminous United States (CONUS) were generated on a monthly, seasonal, and annual basis using 6521 ETM+ acquisitions from December 2007 to November 2008. The composited mosaics are designed to provide consistent Landsat data that can be used to derive land cover and geo-physical and bio-physical products for detailed regional assessments of land-cover dynamics and to study Earth system functioning. The data layers in the composited mosaics are defined at 30 m and include top of atmosphere (TOA) reflectance, TOA brightness temperature, TOA normalized difference vegetation index (NDVI), the date each composited pixel was acquired on, per-band radiometric saturation status, cloud mask values, and the number of acquisitions considered in the compositing period. Reduced spatial resolution browse imagery, and top of atmosphere 30 m reflectance time series extracted from the monthly composites, capture the expected land surface phenological change, and illustrate the potential of the composited mosaic data for terrestrial monitoring at high spatial resolution. The composited mosaics are available in 501 tiles of 5000 × 5000 30 m pixels in the Albers equal area projection and are downloadable at http://landsat.usgs.gov/WELD.php. The research described in this paper demonstrates the potential of Landsat data processing to provide a consistent, long-term, large-area, data record.

Publication Year 2010
Title Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States
DOI 10.1016/j.rse.2009.08.011
Authors David P. Roy, Junchang Ju, Kristi L. Kline, P. L. Scaramuzza, Valeriy Kovalskyy, Matt Hansen, Thomas Loveland, Eric Vermote, Chunsun Zhang
Publication Type Article
Publication Subtype Journal Article
Series Title Remote Sensing of Environment
Index ID 70208549
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center