Objective
The REFIND project aims to create a standardized methodology for large-scale palaeontological surveys. The protocol will be applied to the recovery of single exposed fossils, by comparing high-resolution multispectral images with the response of fossils to laboratory-light wavelengths. Where fossils cannot be directly detectable, my method applies the use of GIS spatial analyses to the palaeogeographical distribution of species, filtered with biotic and abiotic data, to recognize suitable areas for new fossil localities.
Images will be acquired by multispectral sensors placed on satellites and drones, and predictions will be computed using softwares for spatial raster analyses. Results will consist of thematic maps predicting the location of new exposed fossils and sites, and coordinates will be partially verified through field expeditions.
The proposed software tools are available to the large public only since recent years, and their application is now crucially important for preventing the destruction of undiscovered palaeontological heritage by humans and climate changes. The REFIND project will allow researchers to minimize costs and risks related to field research, and to access the first Fossil Endmember Library and to the largest database for Late Pleistocene fossil evidence.
The implementation of my results will change the approach of European researchers to palaeontological field work and add to the importance of the European historical fossil collections.
I have previous experience in both fields developed in the REFIND project, being developed in the project, allowing me to achieve of all the proposed results. The acquisition of new skills during the fellowship will significantly upgrade my career potential, because multispectral and raster analyses, cutting-edge studies in Europe, have never been applied to palaeontology for such innovative goals. For the same reason, high interest is expected from the research community.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencesearth and related environmental sciencespalaeontology
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
30123 Venezia
Italy