Internal Research Fellow

06 ago - Italia
Settore aeronautico e aerospaziale

Internal Research Fellow (PostDoc) in Cal/Val, Data Quality & Algorithm Evolution (BIOMASS mission)
Directorate: Earth Observation Programmes
As a research fellow, you will be part of the Earth Observation (EO) Mission Management and Product Quality Division within the Directorate of Earth Observation Programmes at ESA's Earth observation centre: ESRIN. The Division is responsible for the management of ESA's Earth observation missions, the development of the ground processors, sensor performance, and data and product quality.
You will join the section in charge of sensor performance, data quality, algorithm development, and calibration and validation (Cal/Val) for the ESA EO missions.
The Sensor Performance, Products and Algorithms (EOP-GMQ) Section has a wide range of functions to serve the end users of Earth observation missions with the best possible product quality. Among the tasks managed by the Section are the in-orbit sensor calibration, product validation and verification and the routine quality monitoring of data generated by the missions' scientific payloads. In addition,



the Section is in charge of the improvement of processing algorithms during the exploitation phase of a mission.
Field(s) of activity/research for the traineeship
This fellowship relates to the exploitation of the ESA Biomass mission.
Biomass is ESA's seventh Earth Explorer mission and launched on 29 April 2025. The main objective of the mission is to measure forest biomass to assess terrestrial carbon stocks and fluxes to support understanding of the Earth's carbon cycle. The Biomass mission is imaging the Earth's surface with a synthetic aperture radar (SAR) at the P-band wavelength — the first time this technique is being used from space. The mission aims to provide accurate maps of tropical, temperate and boreal forest biomass that are not obtainable from ground measurement techniques. To this end, the mission is exploiting novel observation techniques such as SAR tomography and polar

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