FR2.M4.2
Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning
Mattia Ferrari, University of Trento, Italy; Giancarlo Papitto, Giorgio Deligios, Arma dei Carabinieri, Italy; Lorenzo Bruzzone, University of Trento, Italy
Session:
FR2.M4: Recent Advances in Hyperspectral Remote Sensing Applications II Oral
Track:
Data Analysis
Location:
Mezzanine: Room M4
Presentation Time:
Friday, 8 August, 10:45 - 11:00
Session Co-Chairs:
Ushasi Chaudhuri, Tata Consultancy Services Limited and Raphael Hunger, University of Campinas (UNICAMP)
Session FR2.M4
FR2.M4.1: COMPARING METHODS FOR SOLAR-INDUCED FLUORESCENCE EFFICIENCY ESTIMATION USING RADIATIVE TRANSFER MODELLING AND AIRBORNE DIURNAL MEASUREMENTS OF BARLEY CROPS
Juliane Bendig, Forschungszentrum Jülich GmbH, Germany; Zbynĕk Malenovský, University of Bonn, Germany; Bastian Siegmann, Julie Krämer, Uwe Rascher, Forschungszentrum Jülich GmbH, Germany
FR2.M4.2: Detection of Bark Beetle Attacks using Hyperspectral PRISMA Data and Few-Shot Learning
Mattia Ferrari, University of Trento, Italy; Giancarlo Papitto, Giorgio Deligios, Arma dei Carabinieri, Italy; Lorenzo Bruzzone, University of Trento, Italy
FR2.M4.3: Synthetic Hyperspectral Image Generation To Aid RS Applications
Ushasi Chaudhuri, Shailesh Deshpande, Arpan Pal, Tata Consultancy Services Research, India
FR2.M4.4: ANALYSIS OF LOCAL METHANE EMISSIONS USING NEAR-SIMULTANEOUS MULTI-SATELLITE OBSERVATIONS: INSIGHTS FROM LANDFILLS AND OIL-GAS FACILITIES
Alvise Ferrari, Giovanni Laneve, Raul Alejandro Carvajal Tellez, Valerio Pampanoni, Simone Saquella, Sapienza University, Italy; Rocchina Guarini, Italian Space Agency, Italy
FR2.M4.5: MACHINE LEARNING REGRESSION MODELS FOR COMPOSITIONAL MAPPING OF ROCK SURFACES: INTEGRATING HYPERSPECTRAL AND X-RAY FLUORESCENCE DATA FROM PORTABLE DEVICES
Raphael Bianchi Hunger, Carlos Roberto Souza Filho, Lucas Miranda, Rebecca Scafutto, Bernardo Freitas, Diego Ducart, University of Campinas, Brazil
Resources