IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
TU2.R17: New Generation hyperspectral Remote Sensing data to advance remote sensing science with specific emphasis on agriculture, water, and food security
Tuesday, 11 August, 11:00 - 12:15
Location: Lincoln West
Session Type: Oral
Session Co-Chairs: Prasad Thenkabail, U. S. Geological Survey and Nizom Farmonov, Philipps-Universität Marburg
Track: Community Contributed Themes
Tue, 11 Aug, 11:00 - 11:15

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
Tue, 11 Aug, 11:15 - 11:30

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
Tue, 11 Aug, 11:30 - 11:45

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
Tue, 11 Aug, 11:45 - 12:00

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
Tue, 11 Aug, 12:00 - 12:15

TU2.R17.5: TOWARDS EFFICIENT ONBOARD METHANE LEAK ESTIMATION WITH HYPERSPECTRAL DATA: FIRST BENCHMARKING AND PERFORMANCE EVALUATION
Daniele Settembre, Giorgia Guerrisi, "Tor Vergata" University of Rome, Italy; Davide De Santis, Blue Dot Observation S.r.l., Italy; Giovanni Schiavon, Fabio Del Frate, "Tor Vergata" University of Rome, Italy