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Upcoming conferences & dissemination activities

The HYDRA-EO project is presented and discussed at selected scientific meetings and mission-oriented workshops. These venues are used to share methodological advances, prototype tools, and reproducible examples related to hybrid RTM–ML approaches, imaging spectroscopy, and EO-based crop stress detection.

Open Postdoctoral Position

  • ESA Digital Twin Earth Components – Open Science Meeting 2026
    2–5 February 2026 · ESA-ESRIN, Frascati, Italy
    ESA open science meeting dedicated to Digital Twin Earth components, mission-oriented methods, Cal/Val readiness, and multi-sensor integration for Earth Observation workflows.

  • Hyperspectral Remote Sensing and AI in Agriculture Workshop
    4–5 February 2026 · Faculty of Science, Technology and Medicine at the University of Luxembourg, Luxembourg
    An international scientific workshop organised by the Faculty of Science, Technology and Medicine at the University of Luxembourg. The workshop brings together researchers and practitioners working at the intersection of hyperspectral remote sensing, artificial intelligence, and precision agriculture.

  • FLEX-Fluorescence 2026 Workshop
    3–6 March 2026 · Bonn, Germany
    International ESA workshop focused on the latest developments in fluorescence remote sensing, including updates on the Fluorescence Explorer (FLEX) – Sentinel-3 tandem mission.

  • 14th EARSeL Workshop on Imaging Spectroscopy
    2–4 June 2026 · Helsinki, Finland
    International scientific workshop on imaging spectroscopy, covering methods, sensors, applications, and reproducible workflows across environmental and agricultural monitoring.

  • IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026)
    9–14 August 2026 · Washington, D.C., USA
    Leading international conference on geoscience and remote sensing, covering Earth Observation theory, sensors, data processing, machine learning, and applications for environmental, agricultural, and climate monitoring.

Selected papers & abstracts

ESA Digital Twin Earth Components – Open Science Meeting

HYDRA-EO: A Digital Twin Component for Multi-Stressor Crop Disease Detection Using Earth Observation, Radiative Transfer Modelling, and Hybrid Machine Learning

ESA Digital Twin Earth Components – Open Science Meeting 2026

Presenter: Dr. Carlos Camino

This contribution presents HYDRA-EO as a Digital Twin component integrating multi-source Earth Observation data, physically based radiative transfer models, and hybrid machine learning approaches to detect, quantify, and differentiate multiple crop stressors and diseases across agricultural systems.

Hyperspectral Remote Sensing and AI in Agriculture international workshop

Disease detection in potato crop fields using multi-modal sensing approaches from uncrewed aerial vehicles

Hyperspectral Remote Sensing and AI in Agriculture international workshop 2026

Presenter: Prof. Dr. Lammert Kooistra

This contribution presents a multi-modal UAV-based approach integrating hyperspectral and complementary sensor data for early disease detection and crop health monitoring in potato fields.

EARSeL Workshop on Imaging Spectroscopy (WS IS 2026)

A Multi-Sensor Inversion Framework for Extracting Photosynthesis-Related Functional Traits in Maize and Potato Cropping Systems

14th EARSeL Workshop on Imaging Spectroscopy (EARSeL WS IS 2026)

Presenter: Dr. Carlos Camino

A hybrid inversion framework combining radiative transfer modelling and multi-sensor Earth Observation data to retrieve photosynthesis-related functional traits in maize and potato systems.

Early Detection of Phomopsis Stem Canker in Sunflower Using a Multi-Sensor Approach Integrating Sun-Induced Fluorescence, Crop Water Stress Index, and Radiative Transfer Models

14th EARSeL Workshop on Imaging Spectroscopy (EARSeL WS IS 2026)

Presenter: Mr. Matteo Sali

Early disease detection using a synergistic combination of SIF, thermal-based crop water stress indicators, and physically based radiative transfer modelling.

IEEE IGARSS 2026

Monitoring Forest Gross Primary Productivity with Sentinel-2 Using Plant Trait–Based Hybrid Radiative Transfer and Machine Learning Approaches

IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026)

Presenter: Dr. Carlos Camino

A plant trait–driven hybrid framework integrating PROSAIL-based radiative transfer simulations and machine learning to estimate forest gross primary productivity from Sentinel-2 observations.

Integrating PRISMA and Sentinel-2 with Biophysical Models for Monitoring Fungal Infection and Gross Primary Productivity
Presenter: Dr.Jose Luis Pancorbo
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026)

Combined use of hyperspectral PRISMA and multispectral Sentinel-2 data with biophysical modelling to monitor fungal infection dynamics and ecosystem productivity.

© 2026 HYDRA-EO.

HYDRA-EO is funded by the European Space Agency (ESA) under the EXPRO+ Tender “Crop Multiple Stressors, Pests and Diseases”. Action 1-12684.

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