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Landsat Science Team Meeting - March 1-3, 2011

Landsat Science Teams consist of USGS and NASA scientists and engineers, external scientists, engineers, and application specialists, representing industry and university research initiatives. The Science Teams are tasked with providing scientific and technical evaluations to the USGS and NASA to help ensure the continued success of the Landsat program.

Return to Landsat Science Team Meetings


Hilton Phoenix East Hotel

Mesa, Arizona

March 1-3, 2011


Presentations from this meeting can be searched on the Landsat Science Team Meeting Presentations webpage. 

Landsat Science Team - March 2011

Tuesday, March 1

  • USGS Realignment, Science Planning, and FY 2012 Budget (Matt Larsen, USGS)
  • TIRS Status (Betsy Forsbacka, NASA)
  • LDCM on-Orbit Cal/Val Considerations (Brian Markham, NASA)
  • Education and Public Engagement (Jeannie Allen, Sigma Space Corporation)
  • Landsat Data Continuity Mission (LDCM) USGS Project Status Report (Dave Hair, USGS and Doug Daniels, The Aerospace Corporation)
  • Sentinel 2 in Europe's Earth Observation Programme (GMES)(Alan Belward, JRC)


Wednesday, March 2

  • Landsat Project Status (Kristi Kline and Rachel Headley, USGS)
  • The Users, Uses, and Value of Landsat and Other Moderate-Resolution Imagery in the United States - Executive Report (Holly Miller, USGS)
  • A Knowledge-based Automated Cropland Mapping Algorithm using Advanced Remote Sensing Methods and Approaches (Prasad Thenkabail, USGS)


Thursday, March 3

  • Landsat Program Overview (Bruce Quirk, USGS) \
  • Collection and Analysis of Land Imaging Requirements (John Dwyer, USGS)
  • Landsat Products Development (Curtis Woodcock, Boston University)
  • A Land Surface Temperature Product (John Schott, Rochester Institute of Technology)
  • USGS Plans for Landsat Science Products (John Dwyer and Tom Loveland, USGS)
  • Annual Forest Disturbance History 1972-2010 (Dirk Pflumacher, Oregon State University)
  • Not Just Detection: Moving towards Attribution of Change Agent using Landsat Time Series Information (Robert Kennedy, Oregon State University)
  • Use of MODIS Data to Assess Global Landsat Surface Reflectance Products (Chenqhuan Huang, University of Maryland)