Follow
Adriaan van Natijne
Adriaan van Natijne
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting
AL van Natijne, RC Lindenbergh, TA Bogaard
Sensors 20 (5), 1425, 2020
372020
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
312022
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
212018
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
112018
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
32021
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
22018
Web based visualisation of 3D radar and LiDAR data
AL van Natijne, RC Lindenbergh, RF Hanssen
22017
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
12022
Laser scanning for operational multiscale structural monitoring
R Lindenbergh, S Soudarissanane, J Wang, A Nurunnabi, A van Natijne, ...
Laser Scanning, 113-126, 2019
12019
Locating PS-InSAR derived deformation using LiDAR point clouds
A van Natijne
12018
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
2023
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
The system can't perform the operation now. Try again later.
Articles 1–18