Publications

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TU Delft Story of science: “the landslide forecast coming to you from space”.

(Conference) papers

  • 2022
    • van Natijne, A.L., Bogaard, T.A., van Leijen, F.J., Hanssen, R.F. & Lindenbergh, R.C. (2022). World-wide InSAR sensitivity index for landslide deformation tracking. International Journal of Applied Earth Observation and Geoinformation, 111. Elsevier. https://doi.org/10.1016/j.jag.2022.102829
    • Kathmann, H.S., van Natijne, A.L. & Linderbergh, R.C. (2022). Probabilistic vegetation transitions in dunes by combining spectral and LiDAR data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 43(B2), 1033–1040. https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1033-2022
  • 2021
    • Zieher, T., Pfeiffer, J., van Natijne, A., & Lindenbergh, R. (2021). Integrated Monitoring of a Slowly Moving Landslide Based on Total Station Measurements, Multi-Temporal Terrestrial Laser Scanning and Space-Borne Interferometric Synthetic Aperture Radar. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS: Proceedings (pp. 942-945). [9553324] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021-July). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553324 [open access]
    • Alfieri, S. M., Foroughnia, F., van Natijne, A., Mousivand, A., Lindenbergh, R., Porcu, F., Zieher, T., Pulvirulenti, B., Yang, J., & Menenti, M. (2021). Documenting Impacts of Hydro-Meteorological Events Using Earth Observation. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS: Proceedings (pp. 934-937). [9554905] IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554905 [open access]
  • 2020
    • van Natijne, A.L., Lindenbergh, R.C., & Bogaard, T.A. (2020). Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting. Sensors, 20(5), 1425. MDPI AG. http://dx.doi.org/10.3390/s20051425
    • Lindenbergh, R., Soudarissanane, S., Wang, J., Nurunnabi, A., van Natijne, A., & Máté, C. (2019). Laser scanning for operational multiscale structural monitoring. In B. Riveiro & R. Lindenbergh (Eds.), Laser Scanning: An Emerging Technology in Structural Engineering (ISPRS Book Series) (pp. 113–126). CRC Press. ISBN 9781032086910.
  • 2018
    • van Natijne, A.L., Lindenbergh, R.C., & Hanssen, R.F. (2018). Massive linking of PS-InSAR deformations to a national airborne laser point cloud. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 42(2), 1137-1144. https://doi.org/10.5194/isprs-archives-XLII-2-1137-2018
    • Puente, I., Lindenbergh, R., van Natijne, A., Esposito, R., & Schipper, R. (2018). Monitoring of progressive damage in buildings using laser scan data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, 42(2), 923-929. https://doi.org/10.5194/isprs-archives-XLII-2-923-2018

Conference contributions

  • 2022
    • van Natijne, A., Bogaard, T., and Lindenbergh, R. (2022). Lessons learned from deformation nowcasting at a deep-seated landslide. EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3913, https://doi.org/10.5194/egusphere-egu22-3913
    • van Natijne, A.L., Bogaard, T.A. & Lindenbergh, R.C. (2022). Towards satellite based deep-seated landslide nowcasting. At ESA Living Planet Symposium, 23-27 May 2022 in Bonn, Germany.
    • van Natijne, A.L. & Lindenbergh, R.C. (2022). Dutch Sentinel-2 spatio-temporal data cubes for data mining and education. At ESA Living Planet Symposium, 23-27 May 2022 in Bonn, Germany.
    • van Natijne, A.L. (2022). The Netherlands in x, y, and t: the benefits of a Sentinel-2 data cube. At NCG Symposium 2022, Wageningen, The Netherlands.
  • 2021
    • van Natijne, A.L., Lindenbergh, R.C., & Bogaard, T.A. (2021). Machine Learning: Potential for Deep‐Seated Landslide Nowcasting. In N. Casagli & V. Tofani (Eds.), Theme 3 : Monitoring and Early Warning of the E-Proceedings of The Fifth World Landslide Forum (pp. 379–385). The International Consortium on Landslides. ISBN 978-4-9903382-1-3.
    • van Natijne, A., Lindenbergh, R., and Bogaard, T. (2021). Global quantification of InSAR sensitivity for landslide deformation tracking. EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-10784. https://doi.org/10.5194/egusphere-egu21-10784
  • 2020
    • van Natijne, A., Lindenbergh, R., and Bogaard, T. (2020). Machine Learning: potential for local and regional deep-seated landslide nowcasting. EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-19515. https://doi.org/10.5194/egusphere-egu2020-19515
  • 2019
    • van Natijne, A.L. (2019). ‘Live’ landslide deformation from hydro-meteorological conditions. In Rutzinger, M. & Heinrich, K. (Eds.), Close Range Sensing Techniques in Alpine Terrain, Proceedings of the Innsbruck Summer School of Alpine Research 2019 (pp. 92–93), 16–22.06.2019 in Obergurgl, Austria. https://doi.org/10.1553/IGF-8
    • van Natijne, A.L., Lindenbergh, R.C., Bogaard, T.A., Rutzinger, M. & Zieher, T. (2019). An Integrated Waterbalance Approach to Analyze Hydro-Meteorological Geohazards. At ESA Living Planet Symposium, 13-17 May 2019 in Milan, Italy.
    • van Natijne, A.L., Lindenbergh, R.C., Bogaard, T.A., Rutzinger, M. & Zieher, T. (2019). An integrated water balance approach to analyze rainfall driven landslides. Geophysical Research Abstracts, 21, [EGU2019-10707-1].
  • 2018
    • van Natijne, A.L., Lindenbergh, R.C. (2018). The necessity of an extended error model for AHN. At NCG Symposium 2018, Wageningen, The Netherlands.
    • A.L. van Natijne, L. Chang, R.C. Lindenbergh, P. Dheenathayalan & R.F. Hanssen (2018). Walking with your head in the (point) cloud: object recognition using combined InSAR and LiDAR data. 14e Nederlands Aardwetenschappelijk Congres, Veldhoven, The Netherlands.
    • Hanssen, R., van Natijne, A., Lindenbergh, R., Dheenathayalan, P., Yang, M., Chang, L., van Leijen, F., Lopez Dekker, P., van der Maaden, J., van Oosterom, P. J. M., Xiong, H., Hu, P., Zhan, Z., & Yang, B. (2018). Scatterer identification and analysis using combined InSAR and laser data. Geophysical Research Abstracts, 20, [EGU2018-17008].
  • 2017
    • A.L. van Natijne, R.F. Hanssen & R.C. Lindenbergh (2017). Optimal stochastic merging of laser scanning and SAR interferometric data. At NCG Symposium 2017, Delft, The Netherlands.

Datasets

Media

  • 2022
    • TU Delft Story of science: “the landslide forecast coming to you from space”. [mirror: EN, NL]
    • KIJK: “Onderwater Ondervraagt, verschuivingen voorzien”.