PhD thesis of Carina Kübert awarded by GGW

PhD thesis of Carina Kübert awarded by GGW

written by EORhub

December 12, 2019

Carina Kübert was awarded with the Promotionspreis of the Geographical Society Würzburg (GGW).

In her thesis, Carina worked on the derivation of phenological metrics from MODIS data in Germany. Her research focused on the reliable estimation of Start of Season (SOS) using different time series generation methods. Time series generation is an important and critical step, that aims at removing noise while preserving the seasonal vegetation signal. Based on different landcover classes, the best method was used to derive annual SOS layers and further phenological datasets. The results of her theses are now used in the Landklif project as input data for further investigations on the condition of different ecosystems and the susceptibility or resilience to expected climate changes.

The prize was awarded on Monday, Dec 2nd 2019, by Prof. Dr. Hubertus Job during the GGW’s last meeting in 2019. Dr. Konrad Schliephake kindly provided the picture.

you may also like:

AgriSens DEMMIN 4.0 will continue

AgriSens DEMMIN 4.0 will continue

We are pleased that the Federal Ministry for Food and Agriculture (BMLE) last week confirmed the extension of our AgriSens DEMMIN 4.0 project for the next two years. Together with our project partners, we are very excited and look forward to further developing...

Invited talk at the Eratosthenes Center of Excellence in Cyprus

Invited talk at the Eratosthenes Center of Excellence in Cyprus

Invited talk at the Eratosthenes Center of Excellence in Cyprus   Prof. Dr. Hannes Taubenböck was invited to give an online talk at the Eratosthenes Center of Excellence in Cyprus. The title of his presentation was “Our urban world – Dynamics, dimensions and...

Our urban Earth Observation research is part of CAIDAS

Our urban Earth Observation research is part of CAIDAS

Hannes Taubenboeck is also linked to the CAIDAS, which is the Center for Artificial Intelligence and Data Science of the Julius-Maximilians-Universität (JMU) Würzburg which aims to develop AI methods, new research topics and the transfer into applications. This is...