| Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting AL van Natijne, RC Lindenbergh, TA Bogaard Sensors 20 (5), 1425, 2020 | 37 | 2020 |
| World-wide InSAR sensitivity index for landslide deformation tracking AL van Natijne, TA Bogaard, FJ van Leijen, RF Hanssen, ... International Journal of Applied Earth Observation and Geoinformation 111, 2022 | 33 | 2022 |
| Monitoring of progressive damage in buildings using laser scan data I Puente, R Lindenbergh, A Van Natijne, R Esposito, R Schipper International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018 | 21 | 2018 |
| Massive linking of PS-InSAR deformations to a national airborne laser point cloud AL van Natijne, RC Lindenbergh, RF Hanssen International Archives of the Photogrammetry, Remote Sensing & Spatial …, 2018 | 11 | 2018 |
| Integrated Monitoring of a Slowly Moving Landslide Based on Total Station Measurements, Multi-Temporal Terrestrial Laser Scanning and Space-Borne Interferometric Synthetic … T Zieher, J Pfeiffer, A van Natijne, R Lindenbergh 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 942-945, 2021 | 3 | 2021 |
| Scatterer identification and analysis using combined InSAR and laser data RF Hanssen, A van Natijne, RC Lindenbergh, P Dheenathayalan, M Yang, ... EGU General Assembly 2018, 2018 | 2 | 2018 |
| Web based visualisation of 3D radar and LiDAR data AL van Natijne, RC Lindenbergh, RF Hanssen | 2 | 2017 |
| Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy AL van Natijne, TA Bogaard, T Zieher, J Pfeiffer, RC Lindenbergh Natural Hazards and Earth System Sciences 23 (12), 3723-3745, 2023 | 1 | 2023 |
| Probabilistic Vegetation Transitions in Dunes by Combining Spectral and LiDAR Data HS Kathmann, AL van Natijne, RC Lindenbergh The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2022 | 1 | 2022 |
| Laser scanning for operational multiscale structural monitoring R Lindenbergh, S Soudarissanane, J Wang, A Nurunnabi, A van Natijne, ... Laser Scanning, 113-126, 2019 | 1 | 2019 |
| Locating PS-InSAR derived deformation using LiDAR point clouds A van Natijne | 1 | 2018 |
| Big slopes, little data: data-driven nowcasting of deep-seated landslide deformation AL van Natijne | | 2023 |
| Challenges for satellite-based deep-seated landslide nowcasting A van Natijne, T Bogaard, R Lindenbergh EGU General Assembly Conference Abstracts, EGU-14398, 2023 | | 2023 |
| Machine learning nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy AL van Natijne, TA Bogaard, T Zieher, J Pfeiffer, RC Lindenbergh EGUsphere 2022, 1-38, 2022 | | 2022 |
| Lessons learned from deformation nowcasting at a deep-seated landslide A van Natijne, T Bogaard, R Lindenbergh EGU General Assembly Conference Abstracts, EGU22-3913, 2022 | | 2022 |
| Documenting Impacts of Hydro-Meteorological Events Using Earth Observation SM Alfieri, F Foroughnia, A Van Natijne, A Mousivand, R Lindenbergh, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 934-937, 2021 | | 2021 |
| Global quantification of InSAR sensitivity for landslide deformation tracking A van Natijne, R Lindenbergh, T Bogaard EGU General Assembly Conference Abstracts, EGU21-10784, 2021 | | 2021 |
| An integrated water balance approach to analyze rainfall driven landslides. A van Natijne, R Lindenbergh, T Bogaard, M Rutzinger, T Zieher Geophysical Research Abstracts 21, 2019 | | 2019 |
Roderik LindenberghAssociate Professor, Delft University of TechnologyBestätigte E-Mail-Adresse bei tudelft.nl
