16 - 21 July, 2023
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Summer School
International Geoscience and Remote Sensing Symposium
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Session FR2.R13
Paper FR2.R13.5
FR2.R13.5
A SPECTRAL CHARACTERIZATION OF THE BONN AGREEMENT OIL APPEARANCE CODE CATEGORIES IN THE SWIR RANGE
Rebecca Del'Papa Moreira Scafutto, Guillaume Lassalle, Carlos Roberto de Souza Filho, University of Campinas, Brazil
Session:
FR2.R13: Ushering a New Era of Spaceborne Hyperspectral Sensors to Propel Gigantic Leap in the Earth Remote Sensing II
Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Fri, 21 Jul, 11:03 - 11:15 Pacific Time (UTC -8)
Session Co-Chairs:
Itiya Aneece, United States Geological Survey (USGS) and Prasad Thenkabail, United States Geological Survey (USGS)
Session Manager:
Emmanuel Chinkaka
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Session FR2.R13
FR2.R13.1: THE ROLE OF HYPERSPECTRAL SPACE-BORNE SENSING FOR MONITORING PRODUCTIVITY AND INTACTNESS OF AGRO-ECOLOGIES IN AFRICA
Tobias Landmann, Bester Tawona Mudereri, David Masereti Makori, International Centre of Insect Physiology and Ecology (ICIPE), Kenya; Olena Dubovyk, University of Bergen, Norway; Elfatih M. Abdel-Rahman, Henri E.Z. Tonnang, International Centre of Insect Physiology and Ecology (ICIPE), Kenya
FR2.R13.2: ESTIMATION OF THE NUTRIENT COMPOSITION OF RICE AND CORN GRAINS USING PRISMA AND SENTINEL-2 IMAGES
Mariana Belgiu, Michael Marshall, University of Twente, Netherlands; Mirco Boschetti, Monica Pepe, Italian National Research Council, Italy; Alfred Stein, Andy Nelson, University of Twente, Netherlands
FR2.R13.3: UAV-BORNE HYPERSPECTRAL IMAGERY TO ESTIMATE MORPHO-PHYSIOLOGICAL CROP TRAITS IN BREEDING PROJECTS
Ittai Herrmann, The Hebrew University of Jerusalem, Israel
FR2.R13.4: ATMOSPHERIC CORRECTION INTERCOMPARISON OF HYPERSPECTRAL AND MULTISPECTRAL IMAGERY OVER AGRICULTURAL STUDY SITES
Brian Lamb, Dean Hively, United States Geological Survey, United States; Jyoti Jennewein, Alison Thieme, United States Department of Agriculture, United States; Alex Soroka, United States Geological Survey, United States
FR2.R13.5: A SPECTRAL CHARACTERIZATION OF THE BONN AGREEMENT OIL APPEARANCE CODE CATEGORIES IN THE SWIR RANGE
Rebecca Del'Papa Moreira Scafutto, Guillaume Lassalle, Carlos Roberto de Souza Filho, University of Campinas, Brazil
Resources
No resources available.