EP23B:
Satellite Land Surface Reflectance at Medium/High Resolution: Algorithms, Validation, and Applications II Posters

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Session ID#: 26260

Session Description:
We solicit papers on the inversion and use of reflectance products from Landsat(s) and Sentinel 2 sensors with other sensors. For the last years, medium and high resolutions became a useful and a powerful toll for Earth studies. Topics of interest mainly include (not limited to):

  • Algorithm description and validation (including Cloud screening, Aerosol inversion, Radiative transfer);
  • Use of products in agricultural monitoring applications (such as crop area, crop type, crop growing, yield estimation and prediction, damage assessment);
  • Data integration / Harmonized products from both sensors with others;
  • Theoretical studies for sensors capabilities enhancements (e.g. addition of spectral bands) to future sensors for agriculture application;
  • Development and use of new vegetation indices (i.e. red edge) and other products for agriculture applications.

Depending on outcome, we think about a special issue.

Primary Convener:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Conveners:  Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, Shinichi Sobue, Japan Aerospace Exploration Agency, Kanagawa, Japan and Ferran Gascon, European Space Research Institute, Frascati, Italy
Chairs:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States and Shinichi Sobue, Japan Aerospace Exploration Agency, Kanagawa, Japan
OSPA Liaison:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Index Terms:

0416 Biogeophysics [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Comparison of Landsat-8 and Sentinel-2A reflectance and normalized difference vegetation index (261128)
Hankui Zhang1, David P Roy2, Lin Yan2, Zhongbin Li2 and Haiyan Huang2, (1)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, (2)South Dakota State University, Brookings, SD, United States
Imaging Spectroscopy Enables Novel Applications and Continuity with the Landsat Record to Sustain Legacy Applications: An Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) and Landsat 8 OLI Case Study (263692)
E. Natasha Stavros1, Felix Seidel2, Morgan L Cable2, Robert O Green3 and Anthony Freeman4, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
A semi-empirical topographic correction model and its application in mountainous terrain (234055)
Xiao Sa, Beijing Normal University, Beijing, China
Combined Landsat-8 and Sentinel-2 Burned Area Mapping (254999)
Haiyan Huang1, David P Roy1, Hankui Zhang2, Luigi Boschetti3, Lin Yan1 and Zhongbin Li1, (1)South Dakota State University, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States, (3)University of Idaho, College of Natural Resources, Moscow, United States
There is no bidirectional hot-spot in Sentinel-2 data (257819)
Zhongbin Li1, David P Roy1 and Hankui Zhang2, (1)South Dakota State University, Brookings, SD, United States, (2)South Dakota State University, Geospatial Sciences Center of Excellence, Department of Geography and Geospatial Sciences, Brookings, United States
Spectrally adjusted surface reflectance and its dependence with NDVI for Landsat and Sentinel 2 (270740)
Jose Luis Villaescusa1, Belen Franch2, Jean-Claude Roger3, Eric Vermote2 and Christopher Owen Justice4, (1)University of Maryland College Park, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (3)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (4)University of Maryland, Department of Geographical Sciences, College Park, United States
Quality assessment of the Harmonized Landsat and Sentinel-2 (HLS) data set (271895)
Martin Claverie1,2, Junchang Ju3, Jeffrey G Masek2 and Eric Vermote4, (1)Univ. Catholique de Louvain, Boursier, Belgium, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, (4)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States
Retrieval of the Land Surface Reflectance for Landsat-8 and Sentinel-2 and its validation. (276513)
Jean-Claude Roger1, Eric Vermote2, Sergii Skakun3, Belen Franch2, Brent Holben4 and Christopher Owen Justice5, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (3)University of Maryland, Geographical Sciences, College Park, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)University of Maryland, Department of Geographical Sciences, College Park, United States
Intercomparison of 30+ years of AVHRR and Landsat-5 TM Surface Reflectance using Multiple Pseudo-Invariant Calibration Sites (278347)
Andrés Eduardo Santamaría-Artigas1, Belen Franch2, Eric Vermote2, Jean-Claude Roger1 and Christopher Owen Justice3, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (3)University of Maryland, Department of Geographical Sciences, College Park, United States
Leveraging Google Earth Engine to Couple Landsat and MODIS for Detecting Phenological Changes in Semi-Arid Ecosystems. (282322)
Megan Gallagher, Boise State University, Boise, ID, United States, Nancy F Glenn, Boise State Univ, Boise, United States and Josh Enterkine, Boise State University, Geosciences, Boise, United States
Evaluation of the NOAA GOES-R ABI Land Surface Albedo and Reflectance Product Suite (282757)
Yi Zhang1, Tao He1, Shunlin Liang2, Dongdong Wang2 and Yunyue Yu3, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)University of Maryland College Park, Department of Geographical Sciences, College Park, United States, (3)NOAA, STAR, College Park, MD, United States

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