We are very happy to welcome Insa Otte at the Department of Remote Sensing as a new research fellow. Before joining the department, Insa worked on rainfall in-situ data and focused on extreme events. But generally, she has a great interest and experience in spatio-temporal data analysis, especially in complex tropical terrain. She is interested on various topics, ranging from automated land-cover classification to derive ecosystem functions from airborne hyperspectral data with machine learning algorithms. Nevertheless, she also loves being in the field for sampling of in-situ data, preferably on the African continent.
She studied Geography with an emphasis on environmental informatics in her PhD.
