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Landsat Science Team Meeting - July 26-28, 2016

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. 

Return to Landsat Science Team Meetings

 

McCrory Gardens Education and Visitor Center

Brookings, South Dakota 

July 26-28, 2016

 

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

 

Meeting Objectives:

  1. Identify priorities for future Landsat measurements and technologies.
  2. Review Landsat Science Team member research and applications activities.
  3. Review the status of Landsat 7-8 and the Landsat archive.
  4. Review South Dakota State University science and engineering remote sensing activities.
Landsat Science Team - July 2016
Sources/Usage: Public Domain. View Media Details

Tuesday, July 26, 2016

  • Opening Remarks (Kevin Kephart (SDSU), David Roy, Dennis Helder)
  • Introductions and Meeting Objectives (Tom Loveland, Jim Irons)
  • USGS and NASA HQ Perspective (Peter Doucette)Landsat Status Summary:
    • Landsat 7 and Landsat 8 Status, Landsat Archive and LGAC, Landsat Products and Collection Management (Brian Sauer)
    • Landsat MSS Improvement Plans, Landsat 8 TIRS Reprocessing Status (Ron Morfitt)
  • Landsat 8 TIRS Stray Light Corrections (Matt Montanaro and Aaron Gerace)
  • Landsat 9 Development Status (Del Jenstrom, Jim Nelson)
  • Landsat 10 Requirements and Capabilities (Curtis Woodcock, David Roy)
    • Review LST Landsat continuity definition
    • USGS RCA-EO results relevant to future Landsat measurement requirements (Greg Snyder)
    • NASA technology evaluations (Jeff Masek)
    • Team member perspectives on future needs
  • Team discussion on future information needs and requirements
  • AmericaView Update (Rick Lawrence)

 

Wednesday, July 27, 2016

  • Landsat Science Team Member Presentations:
    • John Kerekes (RIT), Scene Simulation for Future Landsat Systems
    • Nima Pahlevan (NASA), Landsat-8/Sentinel-2A aquatic science/applications
    • Anthony Vodacek (RIT), Assessing the Utility of Landsat 8 for Monitoring Cyanobacteria in the Great Lakes Region
    • Yongwei Sheng (UCLA), Circa-2015 Global Lake Mapping Using Landsat-8
    • Ted Scambos (NSIDC), Landsat 8 and Ice
    • Rick Allen (U of Idaho), Impacts of 30 meter georegistration on VIIRS and MODIS spatial fidelity: what it does for water consumption mapping
    • Alan Belward (EC JRC), The importance of LGAC for the production of the next generation of terrestrial essential climate variables
    • Jim Vogelmann (USGS), Assessing vegetation condition using all available Landsat data
    • David Roy (SDSU), A general method to normalize Landsat reflectance data to nadir BRDF adjusted reflectance, and some implications
    • Crystal Schaaf (UMass), North American Surface Albedos from Landsat
    • Joel McCorkel (NASA), Landsat 9 calibration: New techniques for OLI-2 and TIRS-II
    • Eric Vermote (NASA), Status of the Landsat and Sentinel 2 surface reflectance products
    • Dennis Helder (SDSU), MSS Radiometric Calibration – The Final Word
    • Leo Lymburner (Geoscience Australia), Australian Geoscience Data Cube – Version 2 – enabling new insight into 29 years of Landsat data
    • Adam Lewis (Geoscience Australia), An Australian perspective on the Landsat experience
    • Patrick Hostert (Humboldt U of Berlin), Forest dynamics in Southern Amazonia since the 1980s
    • Txomin Hermosilla (U of British Columbia), Pixels to data products for forest monitoring: Mass data processing of time-series Landsat imagery
    • Mike Wulder (Canadian Forest Service), Forest disturbance and recovery in Canada: trends and visualization from Landsat time series
    • Joe Hughes (Oregon State U), Landcover and Disturbance Agent Attribution: challenges and opportunities
    • Warren Cohen (USFS), Maximizing the value of the Landsat archive for forest change applications
    • Randy Wynne (Virginia Tech), Algorithm and Data Fusion to Improve Estimates of Forest Status and Change
    • Mark Friedl (Boston University), Seasonal Co-Variation in Land Surface Climate and Surface Properties in the Boston Metropolitan Area.
    • Curtis Woodcock (Boston University), Making better use of what we already know in the analysis of Landsat times series
    • Feng Gao (USDA ARS), Mapping crop progress and yield, with case study over central Iowa
    • Martha Anderson and Yun Yang (USDA ARS), Applications for high resolution ET datacubes, with case study over tile-drained area around Brookings, SD
    • Jim Hipple (USDA RMA), Integrating metrics derived Landsat Science Products into a National Agricultural Data Warehouse Status Update
    • Dave Johnson (USDA NASS), Wheat Watchers: Weighing the utility of Sentinel-2 to better monitor the crop in Kansas
    • Ayse Kilic (U of Nebraska), Progress on Evapotranspiration Applications within Google Earth Engine and Calibrate NAIP Imagery in Estimating Turf Water Conservation in California
  • Landsat Advisory Group Update (Kass Green)

 

Thursday, July 28, 2016

  • Landsat 8 Surface Reflectance Update (John Dwyer)
  • USGS LCMAP Updates:
    • LCMAP Objectives (Tom Loveland)
    • Analysis ready Landsat data (Brian Sauer)
    • Land change monitoring (Zhe Zhu)
  • South Dakota State University Remote Sensing Activities:
    1. Applying the Landsat archive to detect ecological thresholds in West African tropical forests (Francis Dwomoh & Michael Wimberly, SDSU GSCE)
    2. The use of nested segmentation active-learning for large area Landsat tree cover classification (Alexey Egorov, David Roy & Matt Hansen, SDSU GSCE & University Maryland)
    3. Characterizing land surface phenologies in the highlands of Kyrgyzstan through synergistic use of Landsat and MODIS data (Geoffrey Henebry, Cole Krehbiel, Monika Tomaszewska, & Kamilya Kelgenbaeva, SDSU GSCE)
    4. The potential of Landsat-like Sentinel-2 multi-spectral instrument (MSI) data for burned area discrimination (Haiyan Huang & David Roy, SDSU GSCE)
    5. Improved Temporal Trending Using PICS (Morakot Kaewmanee, SDSU Image Processing Lab)
    6. The Global Operational Land Imager (GOLI) Landsat 8 reflectance based active fire detection algorithm (Sanath Kumar & David Roy, SDSU GSCE)
    7. Worldwide Optimal PICS Search (Larry Leigh, SDSU Image Processing Lab)
    8. Deep Convective Cloud (DCC) Calibration for Landsat 8 OLI Coastal Aerosol and Cirrus Bands (Larry Leigh, SDSU Image Processing Lab)
    9. Algodones Dunes – A Surrogate for Libya 4 (Dave Aaron, SDSU Image Processing Lab)
    10. Robust gap filling of Landsat reflectance time series by spectral-angle-mapper based spatio-temporal similarity – demonstration over dynamic U.S. agricultural landscapes (Lin Yan & David Roy, SDSU GSCE)
    11. Landsat 5 Thematic Mapper reflectance and NDVI 27-year time series inconsistencies due to satellite orbit change (Hankui Zhang & David Roy, SDSU GSCE)
    12. Variation of land surface phenology derived from Landsat 7 and 8 data across the Tibetan Plateau (Xiaoyang Zhang & Shuai An, SDSU GSCE)
  • Wrap-up discussion