Landsat Science Teams

Landsat Science Team Meeting - July 26-28, 2016

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McCrory Gardens Education and Visitor Center
Brookings, South Dakota 
July 26-28, 2016


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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

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