From ground to sky: bridging scales in the study of coastal changes using satellites, drones and field-based measurements
2016 - ongoing
Obtaining information on ecological processes is a trade-off between efficiency and cost of survey, spatio-temporal resolution and quality of information. Typical methods used to assess spatio-temporal dynamics of coastal ecosystems range from spaceborne or airborne (e.g. satellite datasets or sensors mounted on aeroplanes) to field-based (e.g measures in situ) observations. Recently, these techniques have been complemented by small unmanned aerial vehicles (often referred to as drones) that can be easily deployed and have lower costs than any other remote survey technique. In this project we will combine high-resolution satellite imagery, drone-based imagery and field-based measurements on a mangrove ecosystem in Fiji to find the best proxies for their health state and aiming at enquiring the best trade-off between coverage and information that can be derived from each technique.
Principal Investigator(s)
Dr. Alessio Rovere (MARUM-ZMT) / Prof. Martin Zimmer (ZMT)
Main Collaborators
Dr. Véronique Helfer (ZMT) / Dr. Eng. Elisa Casella (ZMT) / Prof. Bibhya Nand Sharma (University of the South Pacific, Fiji).
Funding
ZMT CORE budget.
2016 - ongoing
Obtaining information on ecological processes is a trade-off between efficiency and cost of survey, spatio-temporal resolution and quality of information. Typical methods used to assess spatio-temporal dynamics of coastal ecosystems range from spaceborne or airborne (e.g. satellite datasets or sensors mounted on aeroplanes) to field-based (e.g measures in situ) observations. Recently, these techniques have been complemented by small unmanned aerial vehicles (often referred to as drones) that can be easily deployed and have lower costs than any other remote survey technique. In this project we will combine high-resolution satellite imagery, drone-based imagery and field-based measurements on a mangrove ecosystem in Fiji to find the best proxies for their health state and aiming at enquiring the best trade-off between coverage and information that can be derived from each technique.
Principal Investigator(s)
Dr. Alessio Rovere (MARUM-ZMT) / Prof. Martin Zimmer (ZMT)
Main Collaborators
Dr. Véronique Helfer (ZMT) / Dr. Eng. Elisa Casella (ZMT) / Prof. Bibhya Nand Sharma (University of the South Pacific, Fiji).
Funding
ZMT CORE budget.