Remote Sensing Of Forest Landscape To Support Land Use Planning
Organisation/Company: Università degli Studi di Torino
Research Field: Environmental science
Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)
Country: Italy
Application Deadline: 27 Jan 2025 - 13:00 (UTC)
Type of Contract: To be defined
Job Status: Not Applicable
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer DescriptionForest planning needs information at different spatial and temporal scales.
Passive and active optical remote sensing now makes it possible to obtain spatially explicit data over large areas.
Such geographic data can be directly used to identify homogeneous areas of forest management that can be optimized to enhance forest ecosystem services such as wood production, protection from gravity events, and biodiversity conservation.
The main objective of the project is to map the forest biomass using innovative remote sensing methods.
Main tools for this type of research will be GIS, satellite and LiDAR remote sensing, and field data on forest structure.
Integration of different data sources will be the main strategy used to achieve the expected results of the project.
Eligibility of fellowsCountry/ies of residence: All
Nationality/ies: All
Selection processBy qualifications and interview (in Turin, Italy).
Dates and venues of the interviews are published, by the date of the deadline, on the official notice board of the website of the University of Turin ( https://webapps. unito. it/albo_ateneo/ ).
The application must be presented by online procedure at - for informations: *
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