FR2.M4.3
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:
Room M4
Presentation Time:
Friday, 8 August, 11:00 - 11:15
Presentation
Discussion
Resources
No resources available.
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: Cloud Detection in Hyperspectral Images with Atmospheric Column Water Vapor: Application to PRISMA and AVIRIS-NG Images
Alexandre Alakian, ONERA - The French Aerospace Lab, France
FR2.M4.3: 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.M4.4: Synthetic Hyperspectral Image Generation To Aid RS Applications
Ushasi Chaudhuri, Shailesh Deshpande, Arpan Pal, Tata Consultancy Services Research, India
FR2.M4.5: 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
Resources
No resources available.