Learn more →
Scientists of the university of oxford and bath have successfully used deep learning successfully with colleagues from twente to capture elephants in their natural environment on satellite images. The software could pay the animals with an accuracy equal or coarse than the human experts. For nature conservant, this is an important step in monitoring populations of hazardous species.
So far, the population of african elephants is usually determined by the evaluation of aerial photography with aircraft or drones. However, this method is made of several groups very mistaken, write isla duorge and her colleagues in the journal remote sensing in ecology and conversation. For on the one hand, from time-consuming and costly not the entire area to be observed, but only a part to increase the paid animals. On the other hand, there are always duplications – human experts also made mistakes.
Well hidden dickhauter
As a matter of principle, with satellite images, a lot of large areas can be monitored. The transmission of established methods for image processing on satellite images, however, has been promoted in a targeted for several years – for example for those inventive natural disasters. The observation of wild animals with the help of satellites has so far scanned optically simpler cases, such as whales in the sea, albatrosses or penguin colonies in the antarctic.