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descriptions and main tasks of the postdoctoral position You will conduct research in the interdisciplinary fields of remote sensing, spatial analysis, hydrology, and landscape. You will be expected
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combining space-based remote sensing and modeling, it aims to better understand the evolution of forest fuels and their role in fire propagation. Tested on pilot forest areas (Centre-Val de Loire and Pyrénées
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a public research laboratory which aims to better understand the functioning of continental surfaces and their interactions with climate and humans. Remote sensing is heavily used by Cesbio scientists
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/autumn floods. The interdisciplinary SUPRAGRASS project addresses these challenges by developing operational tools based on remote sensing, ecosystem simulation, and stakeholder engagement. The aim is to
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran
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Eligibility criteria . PhD in atmospheric sciences • Knowledge of cloud physics • Experience in algorithm development and satellite remote sensing • Good written and spoken English • Ability to work
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for calibrating remote sensing instruments and validating national and regional aerial biomass maps. The One Forest Vision initiative (OFVi project, https://www.oneforestvision.org/eng ) has enabled the creation
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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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will benefit from the various skills in tropical ecology, vegetation modelling, and remote sensing of a large and enthusiastic team of collaborators. Where to apply Website https://emploi.cnrs.fr
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programming. - Interest in natural hazards, particularly gravitational processes. - Doctoral and/or post-doctoral experience in one or more of the following fields: remote sensing, geophysics, natural hazards