B31M:
Satellite Land Surface Products at Medium/High Resolution: Algorithms, Validation, and Applications Posters


Submit an Abstract to this Session


Session ID#: 52694

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:  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
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:

Evaluation of the Surface Reflectance Long-Term Data Record from AVHRR over Multiple Land Surface Types (420389)
Andrés Eduardo Santamaría-Artigas1,2, Jean-Claude Roger1,2, Belen Franch3,4, Eric Vermote3 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, United States, (3)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (4)Universitat de Valencia, Global Change Unit, Image Processing Laboratory, Valencia, Spain, (5)University of Maryland, Department of Geographical Sciences, College Park, United States
A Microwave Land Surface Emissivity Database in China (378293)
Jiheng Hu, School of Earth and Space Sciences, USTC, Hefei, China and Rui Li, University of Science and Technology of China, Hefei, China
Analysing The Relationship Between Artificial Surfaces and Land Surface Temperature Using Remotely Sensed Data (432251)
Filiz Bektas Balcik1, Baturalp Arısoy1 and Ceyhan Kahya2, (1)Istanbul Technical University, Geomatics Engineering, İstanbul Maslak, Turkey, (2)Istanbul Technical University, Meteorological Engineering, İstanbul Maslak, Turkey
Characterizing the Gradient of the Spectral Curve for Object-Based Random Forest Image Classification Using Airborne Hyperspectral Datasets (353148)
Eric Ariel L Salas and Sakthi Kumaran, Central State University, Agricultural Research Development Program (ARDP), Wilberforce, OH, United States
Crop classification using Sentinel satellite observations and Support Vector Machine algorithm over a highly diverse agricultural region (450726)
Ana Wegman Murlender1, Zhehan Tang1, Bin Chen2 and Yufang Jin3, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Department of Land, Air, and Water Resources, Davis, CA, United States, (3)University of California Davis, Department of Land, Air, and Water Resources, Davis, United States
Development of Machine Learning Models for Estimation of Fuel Moisture Content Based on MODIS Satellite Observations (454184)
Branko Kosovic1, Tyler McCandless2, Bill Petzke3, Pedro Angel Jimenez2, Steven T Massie4, Amanda Anderson3, Amy DeCastro5, David John Gagne II6 and Sue Ellen Haupt2, (1)Johns Hopkins University, Ralph O'Connor Sustainable Energy Institute, Baltimore, MD, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (4)Natl Ctr Atmospheric Research, Boulder, United States, (5)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, United States, (6)NCAR/MMM, Boulder, United States
Enterprise LST Algorithm Development and Its Evaluation on NOAA-20 VIIRS Data (408665)
Yuling Liu1, Yunyue Yu2, Peng Yu1, Heshun Wang1 and Yuhan Rao3, (1)CISESS/ESSIC, University of Maryland, College Park, United States, (2)NOAA, STAR, College Park, MD, United States, (3)North Carolina State University, North Carolina Institute for Climate Studies, Asheville, United States
Evaluation of three high spatio-temporal image fusion products using in-situ spectral measurements (429464)
Juwon Kong, Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul, South Korea, Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea; Seoul National University, Interdisciplinary Program in Landscape Architecture, Seoul, South Korea, Yan Huang, Seoul National University, College of Agriculture and Life Science, Seoul, South Korea, Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, Rasmus Houborg, South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Brookings, SD, United States and Xiaolin Zhu, Hong Kong Polytechnic University, The Department of Land Surveying and Geo-Informatics, Hong Kong, Hong Kong
GEONEX: Challenges in producing MODIS-like land products from a new generation of geostationary sensors (383921)
Shuang Li1, Weile Wang2, Jun Xiong1, Hirofumi Hashimoto3, Sangram Ganguly4, Andrew Michaelis3,5, Tsengdar J Lee6 and Ramakrishna R Nemani3, (1)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (2)NASA/AMES Research Center, Moffett Field, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)NASA Ames Research Center / BAERI, Moffet Field, CA, United States, (5)University Corporation at Monterey Bay, Seaside, CA, United States, (6)NASA Headquarters, Washington, United States
GEONEX: Land Surface Reflectances from Geostationary Sensors (394520)
Weile Wang1, Shuang Li2, Yujie Wang3, Jun Xiong4, Hirofumi Hashimoto2, Sangram Ganguly5, Alexei Lyapustin6 and Ramakrishna R Nemani2, (1)NASA/AMES Research Center, Moffett Field, United States, (2)NASA Ames Research Center, Moffett Field, CA, United States, (3)UMD, College Park, United States, (4)NASA Ames Research Center / BAERI, Moffett Field, CA, United States, (5)Rhombus Power, Palo Alto, United States, (6)NASA Goddard Space Flight Center, Greenbelt, United States
Improving the AVHRR LTDR BRDF Correction for the Pre-MODIS era (1982-2000) (420122)
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
Inundation quantified by Planet CubeSat data may drive a change in soil biogeochemistry in US Midwestern agroecosystems (463543)
Robert F Paul, University of Illinois at Urbana Champaign, Plant Biology, Urbana, IL, United States, Yaping Cai, University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, IL, United States, Bin Peng, University of Illinois Urbana-Champaign, Urbana, United States, Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States and Evan H DeLucia, University of Illinois at Urbana-Champaign, Institute for Sustainability, Energy, and Environment, Center for Advanced Bioenergy and Bioproducts Innovation; Carl R. Woese Institute for Genomic Biology; Department of Plant Biology, Urbana, IL, United States
Multi-sensor Integration of Vegetation Index Products for Long-term Monitoring of Vegetation Dynamics: A Case Study from MODIS to VIIRS (400814)
Tomoaki Miura, University of Hawaiʻi at Mānoa, Honolulu, United States, Sangram Ganguly, Rhombus Power, Palo Alto, United States and Ramakrishna R Nemani, NASA Ames Research Center, Moffett Field, CA, United States
Postprocessing Methodology for High Resolution Crop Classification Maps (432102)
Mykola S. Lavreniuk, Space Research Institute NAS Ukraine and SSA Ukraine, Kyiv, Ukraine; National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine
Radiance-based Validation for NOAA-20/VIIRS and GOES-16/ABI Land Surface Temperature Product (451301)
Heshun Wang, CISESS/ESSIC, University of Maryland, College Park, United States, Yunyue Yu, NOAA, STAR, College Park, MD, United States, Yuling Liu, University of Maryland, College Park, Greenbelt, MD, United States and Peng Yu, University of Maryland, College Park, MD, United States
Urban Air Temperature Model Using GOES-16 LST and a Diurnal Regressive NeuralNetwork Algorithm (406032)
Joshua Hrisko, CUNY-NOAA CREST, New York, NY, United States, Prathap Ramamurthy, City College of New York, Department of Mechanical Engineering, New York City, United States, Yunyue Yu, NOAA, STAR, College Park, MD, United States and Peng Yu, CISESS/ESSIC, University of Maryland, College Park, United States
Validation of the Sentinel 2 surface reflectance over a corn field (448915)
Eric Vermote1, Joel McCorkel2, William H Rountree3, Sergii Skakun4, Belen Franch1 and Jean-Claude Roger3, (1)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (2)NASA, Greenbelt, MD, United States, (3)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (4)University of Maryland, Geographical Sciences, College Park, United States

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