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processes causing consecutive landslides will be undertaken. Training The individual joins a team of international experts who will support through training in remote sensing and GIS, field geomorphic
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erosion and subsequent effect on land-to-lake dynamics using isotope tracer and source apportionment methodology at test sites in the Winam Gulf. (2) Explore use of remote sensing data and machine learning
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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 11 days ago
self-generated data in the field-, and to explore the potential of remote sensing to unlock the relationship between vegetation history and the distribution of ancient economic and settlement remains
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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monitoring. Responsibilities Drive forward the department’s analytical and statistical expertise in remote sensing, LiDAR, AI tools, GIS, and spatial modeling. Take a leading role in developing digital tools
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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supervised by Professor Dan Parsons, Professor Dapeng Yu (Loughborough and Previsico), Dr Quan Le (Loughborough) and Dr Chris Hackney (Newcastle). Working within the FLOOD-CDT, you’ll combine satellite remote
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | 2 months ago
foundation in data analysis, with preferably some experience in (microwave and/or optical) remote sensing data, GIS, and environmental modeling. Familiarity with programming languages such as Python, Julia, R
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, remote sensing, GIS tools/software, database management and data acquisition; good organizational skills; good command of spoken and written English and Portuguese; driving license. Other requirements
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, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS doctoral