ENAC Seminar Series by Prof. D. Tuia
Event details
| Date | 13.03.2019 |
| Hour | 09:00 › 10:00 |
| Speaker | Prof. D. Tuia |
| Location | |
| Category | Conferences - Seminars |
9:00 – 10:00 – Prof. Devis Tuia
Laboratory of GeoInformation Science and Remote Sensing, Wageningen University, the Netherlands
Machine learning and Earth Observation for the environment
Earth observation is on the rise. Digital images of the Earth surface are nowadays heavily used in the scientific world, but have also penetrated our daily life via navigation systems, mass media and mobile technology. This is due to the massive increase of satellite data and to the democratization of drones technology. This data availability brings the promise of monitoring the environment in unprecedented spatial and temporal details.
However, given the volumes of data acquired, as well as their heterogeneity and complexity, new powerful information extraction models are required to convert the data into relevant information. In this talk, Prof. Tuia will present recent advances in environmental modeling happening at the interface between machine learning and Earth observation, discuss new challenges and stress the importance of human-machine interaction. With examples issued from automated wildlife censuses and digital humanitarianism, he will present the federative aspect of being a remote sensing data scientist.
Laboratory of GeoInformation Science and Remote Sensing, Wageningen University, the Netherlands
Machine learning and Earth Observation for the environment
Earth observation is on the rise. Digital images of the Earth surface are nowadays heavily used in the scientific world, but have also penetrated our daily life via navigation systems, mass media and mobile technology. This is due to the massive increase of satellite data and to the democratization of drones technology. This data availability brings the promise of monitoring the environment in unprecedented spatial and temporal details.
However, given the volumes of data acquired, as well as their heterogeneity and complexity, new powerful information extraction models are required to convert the data into relevant information. In this talk, Prof. Tuia will present recent advances in environmental modeling happening at the interface between machine learning and Earth observation, discuss new challenges and stress the importance of human-machine interaction. With examples issued from automated wildlife censuses and digital humanitarianism, he will present the federative aspect of being a remote sensing data scientist.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez