IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

TU3.O-10: Advances in Parameter Retrieval and Applications

Tue, 13 Jul, 12:25 - 13:55 (UTC)
Tue, 13 Jul, 14:25 - 15:55 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 20:25 - 21:55 China Standard Time (UTC +8)
Tue, 13 Jul, 08:25 - 09:55 Eastern Daylight Time (UTC -4)

Session Co-Chairs: Fernando Camacho, EOLAB and Takeo Tadono, Japan Aerospace Exploration Agency

Session Manager: Ragini Bal Mahesh

Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TU3.O-10.1: PROTOTYPE FOR SURFACE ALBEDO RETRIEVAL BASED ON SENTINEL-3 OLCI AND SLSTR DATA IN THE FRAMEWORK OF COPERNICUS CLIMATE CHANGE

Jorge Sánchez-Zapero, Fernando Camacho, EOLAB, Spain; Jonathan León-Tavares, VITO, Belgium; Enrique Martínez-Sánchez, Javier Gorroño, EOLAB, Spain; Iskander Benhadj, Carolien Toté, Else Swinnen, VITO, Belgium; Joaquín Muñoz-Sabater, European Centre for Medium-Range Weather Forecasts (ECMWF), United Kingdom

TU3.O-10.2: A Method of Retrieving 10-m Spectral Surface Albedo Products from Sentinel-2 and MODIS data

Rui Song, Jan-Peter Muller, Alistair Francis, University College London, United Kingdom

TU3.O-10.3: SINGLE UNDERWATER IMAGE RESTORATION BY CONTRASTIVE LEARNING

Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia

TU3.O-10.4: ESTIMATING BIOMASS FROM SENTINEL-3 ALTIMETRY DATA: A SENSITIVITY ANALYSIS

Davide Comite, Nazzareno Pierdicca, Sapienza University of Rome, Italy; Maria Paola Clarizia, Deimos Space, United Kingdom; Giuseppina De Felice Proia, Leila Guerriero, Cristina Vittucci, Tor Vergata University, Italy; Daniel Pascual, Deimos Space, United Kingdom; Marco Restano, SERCO, Italy; Jérôme Benveniste, European Space Agency (ESA), Italy

TU3.O-10.6: REGRESSION NETWORKS FOR CALCULATING ENGLACIAL LAYER THICKNESS

Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, University of Maryland Baltimore County, United States; John Paden, University of Kansas, United States

TU3.O-10.1: PROTOTYPE FOR SURFACE ALBEDO RETRIEVAL BASED ON SENTINEL-3 OLCI AND SLSTR DATA IN THE FRAMEWORK OF COPERNICUS CLIMATE CHANGE

TU3.O-10.2: A Method of Retrieving 10-m Spectral Surface Albedo Products from Sentinel-2 and MODIS data

TU3.O-10.3: SINGLE UNDERWATER IMAGE RESTORATION BY CONTRASTIVE LEARNING

TU3.O-10.4: ESTIMATING BIOMASS FROM SENTINEL-3 ALTIMETRY DATA: A SENSITIVITY ANALYSIS

TU3.O-10.6: REGRESSION NETWORKS FOR CALCULATING ENGLACIAL LAYER THICKNESS

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