News
Section · News
Latest news
Follow the latest HYDRA-EO software releases, project results, scientific contributions, and dissemination activities.
HYDRA-EO 2026: From field measurements to airborne and satellite observations
27 August 2026 · Campaign update
HYDRA-EO is building a multi-country, multi-scale dataset through coordinated field, UAV, airborne, and satellite campaigns in the Netherlands, Spain, and Italy. Follow the potato, olive, pistachio, and vineyard observations and the project’s collaborations with CERBERUS and regional plant-health partners.
RTM-Suite is now available
27 August 2026 · Open-source software release
RTM-Suite brings leaf, canopy, soil, and atmosphere radiative transfer modelling together with sensor convolution and plant-trait inversion in a single, reproducible R and Python ecosystem. Its documentation includes 31 step-by-step tutorials, interactive applications, and verified examples for vegetation and Earth Observation research.
Upcoming conferences & dissemination activities
ICOS Science Conference 2026
15–17 September 2026 · Lund, Sweden
Dr. José Luis Pancorbo will present two accepted contributions:
- Abstract 151: Assessing PROSAIL Model Performance to Estimate Carbon-Based Constituents in Alfalfa
- Abstract 233: Linking Satellite Observations and ICOS Flux Towers: Integrating PRISMA and Sentinel-2 for Ecosystem Productivity Monitoring
Completed conference activities & scientific outputs
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
9–14 August 2026 · Washington, D.C., USA · Completed
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.
Read the conference paper (PDF)
Early Fungal Detection in Pine Forest by Fusing PRISMA and Sentinel-2 with Biophysical Models
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2026)
Presenter: Dr. Carlos Camino
Combined use of hyperspectral PRISMA and multispectral Sentinel-2 data with biophysical modelling to monitor fungal infection dynamics and ecosystem productivity.
Read the conference paper (PDF)
Continue exploring
2026 campaign story Scientific pipeline RTM-Suite tools Project timeline
© 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.
