TU2.R17.4
EVALUATING PRISMA’S SPECTRAL ACCURACY FOR SOIL AND WATER CHARACTERIZATION IN RIBVERBANK SITES ALONG THE JURUÁ AND PURUS RIVERS, BRAZILIAN AMAZON.
Diego Pinheiro de Menezes, Daniel Andrade Maciel, Javier Tomasella, Laura de Simone Borma, Instituto Nacional de Pesquisas Espaciais - INPE, Brazil; Josiane Aline da Silva, Universidade Federal do Paraná, Brazil
Session:
TU2.R17: New Generation hyperspectral Remote Sensing data to advance remote sensing science with specific emphasis on agriculture, water, and food security Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 11:45 - 12:00
Presentation
Discussion
Resources
No resources available.
Session TU2.R17
TU2.R17.1: MULTIMODAL ENSEMBLE OF UAV-BORNE HYPERSPECTRAL, THERMAL, AND RGB IMAGERY TO IDENTIFY COMBINED NITROGEN AND WATER DEFICIENCIES IN FIELD-GROWN SESAME
Maitreya Mohan Sahoo, Rom Tarshish, Yaniv Tubul, Idan Sabag, Yaron Gadri, The Hebrew University of Jerusalem, Israel; Gota Morota, The University of Tokyo, Japan; Zvi Peleg, The Hebrew University of Jerusalem, Israel; Victor Alchanatis, Agricultural Research Organization – Volcani Institute, Israel; Ittai Herrmann, The Hebrew University of Jerusalem, Israel
TU2.R17.2: New Generation Spaceborne Hyperspectral Remote Sensing (imaging spectroscopy) Data to make Gigantic Leaps in Remote Sensing Science
Prasad Thenkabail, Itiya Aneece, Pardhasaradhi Teluguntla, Adam Oliphant, Daniel Foley, United States Geological Survey, United States
TU2.R17.3: RETRIEVAL OF WINTER WHEAT LEAF CHLOROPHYLL CONTENT FROM ENMAP HYPERSPECTRAL DATA: A HYBRID APPROACH USING GAUSSIAN PROCESS REGRESSION AND ACTIVE LEARNING TECHNIQUES
Nizom Farmonov, Philipps-Universität Marburg, Germany
TU2.R17.4: EVALUATING PRISMA’S SPECTRAL ACCURACY FOR SOIL AND WATER CHARACTERIZATION IN RIBVERBANK SITES ALONG THE JURUÁ AND PURUS RIVERS, BRAZILIAN AMAZON.
Diego Pinheiro de Menezes, Daniel Andrade Maciel, Javier Tomasella, Laura de Simone Borma, Instituto Nacional de Pesquisas Espaciais - INPE, Brazil; Josiane Aline da Silva, Universidade Federal do Paraná, Brazil
TU2.R17.5: TOWARDS EFFICIENT ONBOARD METHANE LEAK ESTIMATION WITH HYPERSPECTRAL DATA: FIRST BENCHMARKING AND PERFORMANCE EVALUATION
Daniele Settembre, "Tor Vergata" University of Rome, Italy; Giorgia Guerrisi, Blue Dot Observation S.r.l., Italy; Davide De Santis, Giovanni Schiavon, Fabio Del Frate, "Tor Vergata" University of Rome, Italy
Contacts