Located in two beautiful cities of Aalborg and Copenhagen in Denmark, the Group of Geodesy provides unique scientific research related to theoretical and applied geodesy. In our taught lectures, we cover various up-to-date topics related to the theory and practice of land surveying, satellite geodesy, advanced computations, and mapping. Our taught programs are innovative and interdisciplinary, and full of field works involving surveying sensors, e.g., GNSS, total station, laser scanner, leveling, inertial, and echo-sounder instruments. Our research-based learning follows the AAU's unique problem-based supporting our students maximizing their potential.
Geodesy
Geodesy
Latest publications
-
A sequential calibration approach based on the ensemble Kalman filter (C-EnKF) for forecasting total electron content (TEC)
Published / Submitted 2022
Mona Kosary, Ehsan Forootan, Saeed Farzaneh, Maike Schumacher
-
Bayesian convolutional neural networks for predicting the terrestrial water storage anomalies during GRACE and GRACE-FO gap
Published / Submitted 2022
Shaoxing Mo, Yulong Zhong, Ehsan Forootan, Nooshin Mehrnegar, Xin Yin, Jichun Wu, Wei Feng, Xiaoqing Shi
-
Evaluation and Comparison of Ultrasonic and UWB Technology for Indoor Localization in an Industrial Environment
Published / Submitted 2022
Amalia Lelia Crețu-Sîrcu, Henrik Schiøler, Jens Peter Cederholm, Ion Sîrcu, Allan Schjørring, Ignacio Rodriguez Larrad, Gilberto Berardinelli, Ole Madsen
-
Forecasting global and multi‑level thermospheric neutral density and ionospheric electron content by tuning models against satellite‑based accelerometer measurements
Published / Submitted 2022
Ehsan Forootan, Mona Kosary, Saeed Farzaneh, Timothy Kodikara, Kristin Vielberg, Isabel Fernandez‑Gomez, Claudia Borries, Maike Schumacher
-
A functional modelling approach for reconstructing 3 and 4 dimensional wet refractivity fields in the lower atmosphere using GNSS measurements
Published / Submitted 2021
Ehsan Forootan, Masood Dehvari, Saeed Farzaneh, Ali Sam Khaniani
-
Analyzing GNSS Measurements to Detect and Predict Bridge Movements Using the Kalman Filter (KF) and Neural Network (NN) Techniques
Published / Submitted 2021
Ehsan Forootan, Saeed Farzaneh, Kowsar Naderi, Jens Peter Cederholm