Prof. Dr. Katharina Anders


Remote Sensing Applications

Academic Career and Research Areas

The field of research of Prof. Anders (*1990) is methodological research on the analysis of remote sensing data for gaining information and new scientific insights about processes at the Earth's surface. The focus is on cross-scale observation of topographic landscape dynamics in the context of natural hazards, climate change consequences, and human-environment interaction. An important goal is the operationalization of automatic 4D observation (3D space + time) for various applications in geo- and environmental monitoring.

Prof. Anders studied Geography with Computer Science and Environmental Physics at Heidelberg University. She obtained her PhD in Geoinformatics (with distinction) at the Institute of Geography and the Interdisciplinary Centre for Scientific Computing at Heidelberg University, with a research visit at TU Delft. In 2023, Prof. Anders was appointed to the professorship for Remote Sensing Applications at TUM.


    • Fellowship in the eliteprogramme for postdocs of the Baden-Württemberg Stiftung (2022)
    • Prize for outstanding digital teaching awarded by Heidelberg University (2020)
    • Best Paper Award at the ISPRS Geospatial Week (2019)

    Anders, K., Winiwarter, L., & Höfle, B. (2022). Improving Change Analysis From Near-Continuous 3D Time Series by Considering Full Temporal Information. IEEE Geoscience and Remote Sensing Letters, 19, pp. 1-5.


    Vos, S., Anders, K., Kuschnerus, M., Lindenbergh, R., Höfle, B., Aarninkhof, S., & de Vries, S. (2022). A high-resolution 4D terrestrial laser scan dataset of the Kijkduin beach-dune system, The Netherlands. Scientific Data, 9 (1), pp. 191.


    Anders, K., Winiwarter, L., Mara, H., Lindenbergh, R., Vos, S. E., & Höfle, B. (2021). Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes. ISPRS Journal of Photogrammetry and Remote Sensing, 173, pp. 297-308.


    Anders, K., Winiwarter, L., Lindenbergh, R., Williams, J. G., Vos, S. E., & Höfle, B. (2020). 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series. ISPRS Journal of Photogrammetry and Remote Sensing, 159, pp. 352-363.


    Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Höfle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., Atkinson, P. M., & Benediktsson, J. A. (2019). Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art. IEEE Geoscience and Remote Sensing Magazine, 7 (1), pp. 6-39.