B43B:
Satellite Land Surface Products at Medium/High Resolution: Algorithms, Validation, and Applications I


Submit an Abstract to this Session


Session ID#: 59874

Session Description:
We solicit papers on the inversion and use of land products from high and medium spatial resolution. 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):

  • New developments for data processing, including atmospheric correction and cloud screening,
  • Analysis and correction of directional effects in land surface reflectances,
  • Use of time series of surface reflectances for land monitoring, including land cover classification and crop yield prediction (including data integration and harmonization),
  • Development and use of new vegetation indices (i.e. red edge) and other products for agriculture applications,
  • Theoretical studies for sensors capabilities enhancements to future sensors at high/medium resolutions.
Primary Convener:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Conveners:  François-Marie Bréon, LSCE Laboratoire des Sciences du Climat et de l'Environnement / CEA, Gif-Sur-Yvette Cedex, France and Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy
Primary Liaison:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Chairs:  Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy, Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States and François-Marie Bréon, LSCE Laboratoire des Sciences du Climat et de l'Environnement / CEA, Gif-Sur-Yvette Cedex, France
OSPA Liaison:  Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0416 Biogeophysics [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

Abstracts Submitted to this Session:

Atmospheric Correction Inter-Comparison Exercise (Invited) (444128)
Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, Georgia Doxani, Serco for European Space Agency, Frascati, Italy, Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy and Sergii Skakun, University of Maryland, Geographical Sciences, College Park, United States
Satellite Mapping of Land Degradation In Senegal, Uganda, Kenya, and Tanzania (Invited) (464286)
Compton J Tucker, NASA Goddard Space Flight Center, Earth Science Division, Greenbelt, MD, United States and Jorge E. Pinzon, Earth Science Division, Code 618, NASA/GSFC, Greenbelt, MD, United States
GEONEX: A NASA-NOAA collaboration for producing land surface products from geostationary sensors using cloud computing (383955)
Ramakrishna R Nemani1, Satya N Kalluri2, Tsengdar J Lee3, Alexei Lyapustin4, Weile Wang5, Sangram Ganguly6, Shuang Li1, Hirofumi Hashimoto1, Hideaki Takenaka7, Atsushi Higuchi8, Jun Xiong9, Ranga B Myneni10 and Andrew Michaelis1, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)NOAA/NESDIS, College Park, MD, United States, (3)NASA, Washington, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)NASA/AMES Research Center, Moffett Field, United States, (6)Rhombus Power, Palo Alto, United States, (7)Chiba University, Chiba, Japan, (8)Center for Environmental Remote Sensing, Chiba University, Chiba, Japan, (9)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (10)Boston University, Earth and Environment, Boston, MA, United States
Fmask 4.0: Cloud and Cloud Shadow Detection in Landsats 4-8 and Sentinel-2 (425413)
Shi Qiu1, Zhe Zhu2, Binbin He3, Rong Shang2 and Yukun Lin2, (1)Texas Tech University, Lubbock, United States, (2)Texas Tech University, Lubbock, TX, United States, (3)School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China
LaSRC Cloud Detection Algorithm for Landsat 8 and Sentinle-2 Data (398911)
Sergii Skakun, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, United States, Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, Jeffrey G Masek, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Christopher Owen Justice, University of Maryland, Department of Geographical Sciences, College Park, United States

See more of: Biogeosciences