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focusing on pressing environmental challenges our society is facing today. Embedded in the department’s Environmental Sensing and Modelling (ENVISION) unit, the ‘Remote sensing and natural resources
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: Experience with remote sensing analysis, geographic information system, or flood mapping and analysis. Experience with geospatial data management. Knowledge of cloud-based applications. Preferred
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will independently develop research, lead specific projects, and complete research-related tasks including writing proposals, acquisition and processing of remote sensing observations, scientific
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letter; e) Knowledge of quantitative (including modelling) and qualitative research methodologies, remote sensing and GIS techniques and long-term ecological data analysis - information provided in the CV
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: RSnowAUT A modular remote sensing pipeline incl. ground-truth monitoring for automated snow avalanche detection and forecasting Project duration: 2022 – 2025 Development of a data pipeline that can process
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space-time data, e.g. from remote sensing of the Earth. Traditional prediction methods are not suitable for such data, mainly due to high computational complexity as well as other limitations [1]. Recent
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. The department “Lidar” develops ground-based, airborne and spaceborne lidar systems. It applies them for active remote sensing of key meteorological parameters and atmospheric trace gases enabling research in
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, institute, and/or university level. Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department
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, institute, and/or university level. Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department
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component with albedo measurements on the reservoir and surrounding terrestrial environments, a modeling component where the student will become familiar with the Canadian Small Lake Model, and a remote