14/06/2019
Marie Skłodowska-Curie Actions

Expression of interest (EoI) - Marie Sklodowska-Curie Action -Thermal Remote Sensing- University of Valencia

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  • OFFER DEADLINE
    22/07/2019 17:00 - Europe/Brussels
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • LOCATION
    Spain, Burjassot
  • ORGANISATION/COMPANY
    University of Valencia
  • DEPARTMENT
    Earth Physics and Thermodynamics Department
  • LABORATORY
    Thermal Remote Sensing Group

The Thermal Remote Sensing Group has done basic and applied research in remote sensing during the last 35 years, developing methodologies and algorithms for: digital processing of satellite images (calibration, geometric correction, cloud detection) and determination of physical magnitudes from them (mainly atmospheric and emissivity corrections to obtain surface emissivities/temperatures). The group has calibrated new thermal sensors, developed single-channel, split-window, dual-angle, multispectral algorithms and emissivity models, and validated land and sea surface temperature and emissivity products. The group has collaborated with the main space agencies (NASA, ESA, EUMETSAT, CONAE, etc.) in International CAL/VAL activities of sensors such as ENVISAT AATSR, EOS MODIS, EOS ASTER, NPP-Suomi VIIRS, NOAA20 VIIRS and Landsat8 TIRS and algorithm development projects, and it is member of the International Land Surface Temperature and Emissivity Working Group (ILSTE-WG). The research has been also focused in the use of thermal products in the subsequent application for the estimation of other environmental parameters (e.g., evapotranspiration, water stress, desertification, water quality, climate change trends, forest fire risk indexes, etc.). You are invited to follow our activities in http://gtt.uv.es.

Three main lines are pushed now in our group: (1) development of surface temperature algorithms and disaggregation techniques, (2) calibration of new satellite sensors and validation of thermal products, and (3) thermal product application to environmental studies, e.g., climate trends, energy fluxes and risk indexes. While the first line requires expertise in radiative transfer codes, deep learning methods and statistical analysis, the second line requires expertise in ground-truth data acquisition and image processing, and also statistical analysis. The third line requires expertise in climatology, meteorology, hydrology or forestry, additionally. The requested researcher’s profile should own PhD in physics, geography, computer science, or similar, and the candidate should have a solid background on Earth

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