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Landsat Data Products Workshop - October 27-29, 2009

By Landsat Missions

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. 

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Boston University

Boston, Massachusetts

October 27-29, 2009

 

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

 

Agenda

  • Workshop goals and objectives (Tom Loveland, USGS; Curtis Woodcock, BU)
  • LEDAPS status and plans (Jeff Masek, NASA)
  • Satellite sensor data normalization issues: A user’s perspective (Prasad Thenkabail, USGS)
  • Web-enabled Landsat data (WELD), a consistent seamless near real time MODIS-Landsat data fusion for the terrestrial user community (David Roy, South Dakota State University)
  • Clouds and Shadows (Lazaros Oreopoulos, NASA-GSFC)
  • Cloud Screening Update and QA Band Progress (Pat Scaramuzza, SGT)
  • Methods to develop gap fill SLC-off images of evapotranspiration (Rick Allen, University of Idaho)
  • Synthetic imagery as a data option to mitigate a gap in Landsat continuity (Mike Wulder, Canadian Forest Service)
  • Surface Temperature (John Schott, Rochester Institute of Technology)
  • Surface reflectance and cloud-shadow masks (Eric Vermote, University of Maryland)
  • Atmospherically adjusted land surface temperature (Rick Allen, University of Idaho)
  • Deriving biophysical products from Landsat (Rama Nemani, NASA)
  • Change products: current limitations and needs (Jim Vogelmann, USGS)
  • Change product validation (Warren Cohen, USFS)
  • Temporal filling research (Robert Kennedy, Oregon State University)
  • Reference based approach for temporal and spatial mosaics; Landsat albedo product from Landsat surface reflectance and MODIS BRDF (Feng Gao, Earth Resources Technology)
  • Lessons for MODIS land cover (Mark Friedl, Boston University)
  • What should a global land cover product look like? (Curtis Woodcock, BU)
  • LC Change Validation/Uncertainty in Emissions Estimation (Curtis Woodcock, BU)
  • NAFD forest disturbance analysis using a LTSS-VCT approach (Chengquan Huang, University of Maryland)
  • Global land cover validation and a "Best Currently Available" LC Map (Curtis Woodcock, BU)
  • Synthetic Landsat Data (Pontus Olofsson, Zhe Zhu and Curtis Woodcock, BU)