Description
In the age of information, we have access to an unprecedented level of details of the animal life on Earth. The possibilities of exploration and investigation of our planet seem, at times, limitless. At the same time the increasing biodiversity crisis calls for more data and more detailed investigation on the relationships between animal behaviour and movement within the environment. Understanding how animals move across landscapes, how the landscape (i.e. environment) changes over time, and the intersection between those topics will allow us to solve long-standing puzzles in ecology.To address these fundamental questions on animal movement and environmental change, researchers have been using a plethora of technologies to gather relevant data. In this course, attendees will learn the fundaments of various animal tracking and remote sensing techniques and how to process and to analyse the resulting large datasets, ranging from animal tracking technologies such as GPS, automated radiotracking, geolocators, camera traps, radiofrequency identification readers, and accelerometers, to foundational deep learning concepts for the detection of animals in the wild using deep neural networks applied to camera images.
| Period | 21 Feb 2023 → 23 Feb 2023 |
|---|---|
| Event type | Course |
| Location | Wageningen, NetherlandsShow on map |
| Degree of Recognition | International |