FLUORESCENCE EXPLORER DATA INNOVATION AND SCIENCE CLUSTER
| ESA | ESTEC contract reference 4000144004/24/I-DTThis project is dedicated to preparing the FLEX mission ground segment, commissioning, exploitation phase, and mission core product validation strategy and protocols.
Role: Task(WP) leader, Expert Support Laboratory (ESL) core member.
This project focuses on assessing the vegetation response through satellite-derived and in-situ remote sensing measurements in the Arctic region. Of special interest is the potential exploitation of the diurnal cycles acquired at the satellite scale by low-orbit earth observation missions, which overpass the above 60 degrees North latitude multiple times per day.
Role: Principal Investigatior
This project focuses on the intercomparison of different techniques to process the radiance signal from proximal-sensing locations to derive canopy-level fluorescence, assessing the potential impact of the oxygen absorption effect in a short optical path. This project was designed as part of the preparation activities for the future cal/val plan of the FLEX mission.
Role: Task(WP) leader
FluoSYN: Hiilimallituksen epävarmuuksien vähentäminen käyttämällä hyväksi FLEX/Sentinel-3 ja Sentinel-5P satelliittien synergiaetuja kasvien fluoresenssin määrityksessä
|Finnish Academy of Science | Reference 324091This project focuses on the development of a consistent strategy able to merge future fluorescence-derived products of the FLEX-mission with current estimates provided by Sentinel-5(P) and future Sentinel-5. The simulated synergistic SIF product will be introduced in the ORCHIDEE vegetation model to assess its impact on carbon estimate accuracy and precision. FluoSYN is strategically planned before the FLEX mission launch to get ready for a new era of photosynthesis research.
Role: Principal Investigatior
This project focuses on the development and validation of a L2 End-To-End performance assessment Simulator and the use of this tool to perform analyses and generate Test Data Sets (TDS) required for the FLEX mission performance assessment and ground segment validation.
Role: Verification and validation of the Level-2 Retrieval Module.
The main objective of this project is to provide scientifically consolidated documentation for the L1B to L2 data processing module(s). Software modules for the data processing shall be provided and integrated into an L1B to L2 retrieval algorithm test chain, allowing performance testing of the entire L2 processor prior to delivery to ESA and the FLEX L2 E2E consortium.
Role: WP leader - Atmospheric correction algorithm development and validation activities
The Ingenio/SEOSAT satellite (Spanish Earth Observation Satellite) takes part of the Earth Observation Spanish System, which is completed with the data analysis and exploitation from other national and international missions from ESA and NASA. The main goal of this project was focused on the design and development of level-2 retrieval algorithms for the Ingenio/SEOSAT mission. This involved from the definition of geometric products to the correction of atmospheric effects and the implementation of pan-sharpening and super-resolution algorithms .
Role: WP leader dedicated to the atmospheric correction of SEOSAT images .
The goal of the FLEX Bridge Study was to optimize approaches for SIF retrievals and applications in assessment of photosynthesis and stress status in terrestrial vegetation, including development of a calibration/validation strategy for FLEX products.
Role:WP leader dedicated to the FLEX/S3 atmospheric correction
Development in the scientific modules of the FLEX/E2E mission performance simulator. The Scene Generation Module (SGM) and the Level-2 Retrieval Module were completely developed at the University of Valencia.
Role: Developer of the Level-2 Retrieval (L2R) module
The HYPER project was dedicated to develop a processing scheme that provided the basis for an operational processing of the HyPlant data (FLEX’s airborne demonstrator). This involved from developing relevant processing modules for the novel high resolution airborne sensor HyPlant, integrating these modules in a suitable environment for end-to-end performance evaluation of airborne data and evaluating the interaction and performance of the modules for a reliable calculation of vegetation and fluorescence map product.
Role: Implementation of the atmospheric correction algorithm for Hyplant images.
Studying and developing new strategies and algorithms for the retrieval of FLEX level-2 products.
Role: Define and develop an atmospheric correction strategy for the FLEX/Sentinel-3 tandem space mission.