B044
Satellite Land Surface Products: Algorithms, Validation and Applications.

Session ID#: 157463

Session Description:
Session Description:

We solicit papers on the inversion and use of land products from very-high, high and medium spatial resolution. For the last years, these 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, not only, atmospheric correction and cloud screening,

- Surface reflectances and derived products,

- Validation of satellite land products,

- 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., based on red edge) and other products for agriculture applications,

- Theoretical studies for sensors capabilities enhancements to future sensors at very high/high/medium resolutions.

Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0430 Computational methods and data processing [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]

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 and Ferran Gascon, European Space Agency, ESA/ESRIN, Frascati, Italy
 
EVALUATION OF THE SENTINEL 3 SYNERGY SURFACE REFLECTANCE PRODUCT (1062092)
Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States and Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States
 
Consistency Analysis of MAIAC MODIS – VIIRS Surface Reflectance Record (1074407)
Alexei Lyapustin1, Yujie Wang2, Sergey Korkin2, Sujung Go3 and Myungje Choi4, (1)NASA Goddard Space Flight Center, Greenbelt, United States, (2)University of Maryland Baltimore County, Baltimore, United States, (3)University of Maryland Baltimore County, Baltimore, MD, United States, (4)Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, United States
 
Quantifying the bias in the use of clear-sky compared with all-sky observations of monthly and annual daytime Land Surface Temperature over two United States Climate Reference Network (USCRN) sites (1074689)
Praveena Krishnan, NOAA/ARL/ATDD, Oak Ridge, TN, United States and Kevin Gallo, NOAA/NESDIS Center for Satellite Applications and Research, College Park, United States
 
Validation of gridded datasets of near-surface temperature variables: uncertainties, spatial heterogeneity and clear-sky bias (1080690)
Shuo Xu, Riverdale, Maryland, UNITED STATES and Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States
 
Global leaf chlorophyll content estimated from the TROPOspheric Monitoring Instrument observations and environment drivers (1081678)
Dong Li, Long Tian, Tao Cheng, Xia Yao, Yongchao Tian, Yan Zhu and Weixing Cao, Nanjing Agricultural University, Nanjing, China
 
Multi-dimensional Evaluation of SEVIRI-MSG ET Products across Europe (1085302)
Bagher Bayat1, Alexander Graf1, Mehdi Rahmati2, Rahul Raj1, Harry Vereecken3 and Carsten Montzka4, (1)Forschungszentrum Jülich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Juelich, Germany, (2)Forschungszentrum Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany, (3)Forschungszentrum Julich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Julich, Germany, (4)Forschungszentrum Jülich, Institute of Bio and Geosciences (Agrosphere, IBG-3), Jülich, Germany
 
Integration of L-band and C-band SAR data with high resolution optical observation in field crop yield estimation (1089331)
Natacha Kalecinski, University of Maryland College Park, College Park, MD, United States, Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States, Nathan Torbick, Applied Geosolutions, LLC, Durham, United States, Jean-Claude Roger, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States and Eric Vermote, NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States
 
Addressing MODIS TERRA L1B High Latitude Striping Issue with Empirical Adjustment of MODIS Polarization Correction Parameters (1099280)
Yujie Wang, University of Maryland Baltimore County, Baltimore, MD, United States and Alexei Lyapustin, NASA Goddard Space Flight Center, Greenbelt, United States
 
Predicting Maize Yields at Large Scale using Remote Sensing (1101286)
Kangogo Sogomo1, Joel Ferguson2, Jay Sayre3 and Ritvik Iyer2, (1)University of California Berkeley, Berkeley, CA, United States, (2)University of California Berkeley, Berkeley, United States, (3)University of California Berkeley, Agricultural and Resource Economics, Berkeley, United States
 
Evaluation of Sentinel-2 Satellite-based Surface Reflectance and Vegetation Indices Using Drone Imagery At Heterogeneous and Homogeneous Crop Fields (1101725)
Jae-Hyun Ryu, Kyungdo Lee, Sangil Na, HoYong An and Byungmo Lee, National Institute of Agricultural Science, Wanju-gun, JeollaBuk-do, South Korea
 
Estimating fractional vegetation cover from multispectral imagery using spectral unmixing in a forested region, Alaska (1130091)
Tianqi Zhang, Ohio State University Main Campus, Environmental Sciences Graduate Program, Columbus, OH, United States and Desheng Liu, The Ohio State University, Department of Geography, Columbus, OH, United States
 
A Comparative Analysis of Earth Observation Woody Canopy Cover Estimates for Africa. (1132043)
Njoki NJOKI Kahiu1, Niall P Hanan1, Julius Anchang2, Lara Prihodko3 and Qiuyan Yu1, (1)New Mexico State University, Plant and Environmental Sciences, Las Cruces, United States, (2)New Mexico State University, Plant and Environmental Sciences, Las Cruces, NM, United States, (3)New Mexico State University, Animal and range Sciences, Las Cruces, NM, United States
 
Estimation and verification of the Landsat-based fractional vegetation cover product over China and the United States from 2013-2018 (1149927)
Zihao Wang1, Danxia Song1, Tao He2 and Dantong Zhong1, (1)Central China Normal University, Wuhan, China, (2)Wuhan University, Wuhan, China
 
Comparative Assessment between the Satellite Land Surface Temperature and Observed Air Temperature: A Case Study of Dehradun City, India (1152667)
Ashish Mishra and Dhyan S Arya, Indian Institute of Technology Roorkee, Hydrology, Roorkee, India
 
EVALUATION OF THE AEROSOL EFFECT ON THE SURFACE REFLECTANCE RETRIEVAL USING HIMAWARI-8 AHI IMAGES OVER LAND (1158502)
Hirokazu Yamamoto, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan and Hitoshi Irie, Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
 
Updates in the Development of a Surface Reflectance Validation Camera System (CAMSIS) (1160001)
William H Rountree1, Andrés Eduardo Santamaría-Artigas2, Eric Vermote3, Joel McCorkel4, Sergii Skakun2, Jean-Claude Roger1 and Belen Franch3, (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)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States
 
Satellite Surface Reflectance Validation with Ground-Based Automated Camera Systems (1162969)
Andrés Eduardo Santamaría-Artigas1,2, Eric Vermote3, Joel McCorkel4, William H Rountree2,5, Sergii Skakun1,2, Jean-Claude Roger2,5 and Belen Franch1,6, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, 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)NASA Goddard Space Flight Center, Greenbelt, United States, (5)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (6)University of Valencia, Department of Earth Physics and Thermodynamics, Valencia, Spain
 
ATMOSPHERIC CORRECTION OVER LAND WITH LASRC AND ITS VALIDATION (1164324)
Jean-Claude Roger1, Eric Vermote2, Sergii Skakun3, Andrés Eduardo Santamaría-Artigas3, William H Rountree1 and Natacha Kalecinski4, (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 College Park, Department of Geographical Sciences, College Park, United States, (4)University of Maryland College Park, College Park, MD, United States
 
Quality Assessment of the Harmonized Landsat/Sentinel-2 (HLS) Version 2.0 Data (1166336)
Junchang Ju, University of Maryland College Park, College Park, MD, United States, Brian Freitag, NASA Marshall Space Flight Center, Huntsville, AL, United States, Sean Harkins, Development Seed, Washington DC, DC, 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, Christopher J Crawford, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, Gail Schmidt, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, LSRD, Sioux Falls, SD, United States and Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
 
Africa 30 m NASA Harmonized Landsat Sentinel-2 (HLS) Burned Area Product Generation, Comparison with the NASA 500 m Burned Area Product, and Comprehensive Validation with 3 m PlanetScope Burned Area data (1176071)
David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and the Center for Global Change and Earth Observations, East Lansing, MI, United States, Haiyan Huang, Center for Global Change and Earth Observations, East Lansing, MI, United States, Luigi Boschetti, University of Idaho, Department of Forest, Rangeland and Fire Sciences, Moscow, United States and Louis Giglio, University of Maryland College Park, Geographical Sciences, College Park, MD, United States
 
Performance Testing Between Remotely Sensed Optical and SAR satellite Data for the Prediction of Leaf Area Index in a Mangrove Forest (1180930)
Somnath Paramanik1, Mukunda Dev Behera1 and Jadu Dash2, (1)Indian Institute of Technology Kharagpur, Kharagpur, India, (2)University of Southampton, Geography and Environmental Science, Southampton, United Kingdom
 
Evaluating Uncertainty Related to Vegetation Indices Derived from Sentinel-2 and MODIS to Estimate Gross Primary Production. (1181440)
ronny Alexander hernandez Mora1, Richard Fernandes2 and Gerardo A Sanchez-Azofeifa1, (1)University of Alberta, Edmonton, AB, Canada, (2)Government of Canada, Canada C, Ottawa, ON, Canada
 
Global Distributions of Fractional Cover in Arid Lands: Early Analyses from NASA’s Earth Surface Mineral Dust Source Investigation (1189957)
Philip Brodrick1, Francisco Ochoa2, Greg S Okin3, David R Thompson4, Kathleen Grant5, Eyal Ben Dor6, Dana Chadwick7, Roger Nelson Clark8, Bethany L Ehlmann9, Michael Fischella10, Paul A Ginoux11, Yue Huang10, Olga V. Kalashnikova4, Raymond F Kokaly12, Abigail Keebler9, Sarah Lundeen13, Ron L Miller14, Thomas Painter10, Carlos Pérez García-Pando15, Benjamin R Phillips16, Daniela Heller Pearlshtien17, Luis Guanter18, Longlei Li19, Vincent Obiso14, Winston Olson-Duvall7, Vincent J Realmuto20, Kevin Reath21, Gregg A Swayze12, Andrew K Thorpe4, Lauren Zastko22 and Robert O Green7, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of California Los Angeles, Department of Geography, Los Angeles, United States, (3)University of Virginia Main Campus, Charlottesville, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)NASA Jet Propulsion Laboratory, Department of Earth Sciences, Pasadena, United States, (6)Tel Aviv University, Geography Department, Porter School of Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv, Israel, (7)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (8)USGS, Denver, United States, (9)California Institute of Technology, Pasadena, United States, (10)University of California Los Angeles, Los Angeles, United States, (11)NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA, Princeton, United States, (12)U.S. Geological Survey, Denver, CO, United States, (13)NASA Jet Propulsion Laboratory, Pasadena, United States, (14)NASA Goddard Institute for Space Studies, New York, United States, (15)NASA/GISS, New York, United States, (16)NASA Headquarters, Washington, DC, United States, (17)Tel Aviv University, Tel Aviv, Israel, (18)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany, (19)Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States, (20)JPL, Pasadena, United States, (21)Cornell University, Earth and Atmospheric Sciences, Ithaca, United States, (22)Cornell University, Ithaca, United States
 
Assessing the Accuracy of GEDI Cover in arid and semiarid regions of New Mexico, USA (1194439)
Abid Nazir1, Qiuyan Yu1, Lara Prihodko2, Trevor H Roberts1 and Niall P Hanan1, (1)New Mexico State University, Plant and Environmental Sciences, Las Cruces, United States, (2)New Mexico State University, Animal and range Sciences, Las Cruces, NM, United States
 
Above-ground Biomass Estimation and Validation Using Multisource Remote Sensing Data, and Linear and Machine Learning Approaches Over High-altitudinal Himalayan Landscape (1198395)
Vikas Dugesar, Banaras Hindu University, Varanasi, 221, India and Prashant Kumar Srivastava, Banaras Hindu University, Institute of Environment & Sustainable Development, Varanasi, India
 
Remote Sensing and Machine Learning for Crop Mapping and Classification in Nigeria (1199543)
Hanan Abou Ali, University of Delaware, Department of Geography & Spatial Sciences, Newark, DE, United States and Kyle Frankel Davis, University of Delaware, Department of Geography & Spatial Sciences; Department of Plant & Soil Sciences, Newark, United States
 
The Planet Fusion Leaf Area Index Product (1047399)
Rasmus Houborg, Planet Labs, San Francisco, CA, United States
 
Preliminary Validation of the Global Hourly, 5-km, All-sky Land Surface Temperature (GHA-LST) dataset (1053235)
Aolin Jia, University of Maryland College Park, College Park, MD, United States, Dongdong Wang, University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States and Shunlin Liang, Univ Maryland, College Park, United States
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