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Field
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Management is one of Europe’s leading research groups in the field of Earth observation and remote sensing. Within the project “Assessing the impacts of transient forest edges on biophysical conditions and
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develop innovative remote sensing capabilities to monitor oceans, ice, vegetation, and natural disasters. Be part of a dynamic, international team shaping the future of environmental monitoring! About us At
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Department of Forest Resource Management The Department of Forest Resource Management conducts education and research in the areas of forest planning, forest remote sensing, forest inventory and
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___ The University of Newcastle, Australia Study Undergraduate Postgraduate International Pathways PhD and Research Masters New Students Scholarships Research Research excellence Research priorities Our stories Partner with us Institutes and centres Research facilities Graduate Research Research...
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aircraft are closely monitored to see if a soot-CCM effect can be predicted. What you would be doing: You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past
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and linear steep sided cut channels, which can restrict creek development and negatively impact site functioning. This project will use remote sensing, geophysical surveying and sedimentological
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effect can be predicted. You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past decade, along with measurements/estimates of local conditions and emissions
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remote sensing surveys, material studies, and geoarchaeological and archaeometric sampling. Examples of current fieldwork by the Regato team are available on this webpage: https://www.knir.it/en
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data