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monitoring agricultural emissions across Africa using satellite remote sensing, atmospheric modeling, and deep learning. Research Focus Estimate cropland emissions (NH3, N2O, CO2, CH4) using satellite
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Remote Sensing, under an uncertain-term employment contract, pursuant to the Labour Code, with a view to carrying out research functions within the scope of the research project COLAPA-3D – Local Co
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Inria, the French national research institute for the digital sciences | Nantes, Pays de la Loire | France | about 4 hours ago
become a fundamental resource for environmental remote sensing applications such as hazard monitoring (i.e., wildfires, flooding), etc., with an increased interest towards urgent applications. Advances in
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and human activities. CESBIO scientists make extensive use of remote sensing technologies to monitor environmental changes across spatial and temporal scales and to develop models that address key
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an outstanding and well-rounded scholar with expertise in geoinformatics, geographical information systems (GIS), remote sensing, geospatial analysis, or related fields. The successful candidate is expected
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learning management system. Prior to instruction, all new adjunct faculty must complete a seven-week Teaching Online Pedagogy and Standards (TOPS) course. This is a remote position. Principal Duties
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larger Vici project funded by the Dutch Research Council. FireSky is an interdisciplinary project combining field, remote sensing and modeling approaches to study feedbacks between climate warming
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
or Geoinformatics, or related areas and to be enrolled PhD. Candidates will be assessed according to the project team’s needs regarding geospatial data and remote sensing for analysis, interpretation, and application
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size, organic carbon and developing geochronologies will also be beneficial. Applicants with skills using remote sensing techniques such as LiDAR to monitor sediment transport and dynamics are also
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scale is based on the analysis of seasonal patterns at the European scale of the remotely sensed spectral index (PPI) at multi temporal scale in wild fruit stands. In-situ phenotyping of CWR at the tree