Articles | Volume 17, issue 5
https://doi.org/10.5194/nhess-17-627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-627-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 May 2017
Research article |
| 09 May 2017
Coseismic displacements of the 14 November 2016 Mw 7.8 Kaikoura, New Zealand, earthquake using the Planet optical cubesat constellation
Department of Geosciences, University of Oslo, Oslo, 0316, Norway
Bas Altena
Department of Geosciences, University of Oslo, Oslo, 0316, Norway
Joseph Mascaro
Planet, San Francisco, 94103, USA
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- A Framework for Unsupervised Wildfire Damage Assessment Using VHR Satellite Images with PlanetScope Data M. Chung et al. 10.3390/rs12223835
- Transpressional Rupture Cascade of the 2016 Mw 7.8 Kaikoura Earthquake, New Zealand W. Xu et al. 10.1002/2017JB015168
- Surface Displacement and Source Model Separation of the Two Strongest Earthquakes During the 2019 Ridgecrest Sequence: Insights From InSAR, GPS, and Optical Data L. He et al. 10.1029/2021JB022779
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- Coseismic Rupture and Preliminary Slip Estimates for the Papatea Fault and Its Role in the 2016 Mw 7.8 Kaikōura, New Zealand, Earthquake R. Langridge et al. 10.1785/0120170336
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41 citations as recorded by crossref.
- Using Daily Observations from Planet Labs Satellite Imagery to Separate the Surface Deformation between the 4 July Mw 6.4 Foreshock and 5 July Mw 7.1 Mainshock during the 2019 Ridgecrest Earthquake Sequence C. Milliner & A. Donnellan 10.1785/0220190271
- A Framework for Unsupervised Wildfire Damage Assessment Using VHR Satellite Images with PlanetScope Data M. Chung et al. 10.3390/rs12223835
- Transpressional Rupture Cascade of the 2016 Mw 7.8 Kaikoura Earthquake, New Zealand W. Xu et al. 10.1002/2017JB015168
- Surface Displacement and Source Model Separation of the Two Strongest Earthquakes During the 2019 Ridgecrest Sequence: Insights From InSAR, GPS, and Optical Data L. He et al. 10.1029/2021JB022779
- Earthquake sequence in the NE Lut, Iran: observations from multiple space geodetic techniques M. Marchandon et al. 10.1093/gji/ggy364
- Observing traveling waves in glaciers with remote sensing: new flexible time series methods and application to Sermeq Kujalleq (Jakobshavn Isbræ), Greenland B. Riel et al. 10.5194/tc-15-407-2021
- Improved surface displacement estimation through stacking cross-correlation spectra from multi-channel imagery B. Altena & S. Leinss 10.1016/j.srs.2022.100070
- Geodetic source models of the 2016–2022 Menyuan Earthquake sequence (Northeastern Tibet) inferred from InSAR and optical observations L. He et al. 10.1093/gji/ggad429
- River-ice and water velocities using the Planet optical cubesat constellation A. Kääb et al. 10.5194/hess-23-4233-2019
- Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide D. Hermle et al. 10.3390/rs14030455
- Systematic Quantification and Assessment of Digital Image Correlation Performance for Landslide Monitoring D. Hermle et al. 10.3390/geosciences13120371
- Sentinel-2 Data for Land Cover/Use Mapping: A Review D. Phiri et al. 10.3390/rs12142291
- DEM Generation from Multi Satellite PlanetScope Imagery S. Ghuffar 10.3390/rs10091462
- Sliding Time Master Digital Image Correlation Analyses of CubeSat Images for landslide Monitoring: The Rattlesnake Hills Landslide (USA) P. Mazzanti et al. 10.3390/rs12040592
- Earthquake Damage Patterns Resolve Complex Rupture Processes Y. Klinger et al. 10.1029/2018GL078842
- Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria D. Hermle et al. 10.5194/nhess-21-2753-2021
- Improved Co-Registration of Sentinel-2 and Landsat-8 Imagery for Earth Surface Motion Measurements A. Stumpf et al. 10.3390/rs10020160
- Strategies for improving the communication of satellite-derived InSAR data for geohazards through the analysis of Twitter and online data portals C. Watson et al. 10.5194/gc-6-75-2023
- Earthquake-triggered 2018 Palu Valley landslides enabled by wet rice cultivation K. Bradley et al. 10.1038/s41561-019-0444-1
- A Block Ramp Errors Correction Method of Planet Subpixel Offset: Application to the 2018 Mw 7.5 Palu Earthquake, Indonesia Z. Feng et al. 10.1109/ACCESS.2019.2956198
- Synergic use of Sentinel-1 and Sentinel-2 data for automatic detection of earthquake-triggered landscape changes: A case study of the 2016 Kaikoura earthquake (Mw 7.8), New Zealand J. Jelének & V. Kopačková-Strnadová 10.1016/j.rse.2021.112634
- Earthquake Consideration in Architectural Design: Guidelines for Architects S. Shareef 10.3390/su151813760
- Tracking slow-moving landslides with PlanetScope data: new perspectives on the satellite's perspective A. Mueting & B. Bookhagen 10.5194/esurf-12-1121-2024
- The Palu-Koro fault behaviour monitoring associated with the 2018 Palu earthquake based on the multi-temporal planetscope and Landsat 8 satellite images B. Dewanto et al. 10.1016/j.rsase.2024.101397
- Complex Crustal Deformation of the 2016 Kaikoura, New Zealand, Earthquake Revealed by ALOS‐2 Y. Morishita et al. 10.1785/0120170143
- CubeSats in Hydrology: Ultrahigh‐Resolution Insights Into Vegetation Dynamics and Terrestrial Evaporation M. McCabe et al. 10.1002/2017WR022240
- Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge, and SWIR bands P. Lu et al. 10.1007/s10346-021-01636-2
- Large drainages from short-lived glacial lakes in the Teskey Range, Tien Shan Mountains, Central Asia C. Narama et al. 10.5194/nhess-18-983-2018
- Coseismic Rupture and Preliminary Slip Estimates for the Papatea Fault and Its Role in the 2016 Mw 7.8 Kaikōura, New Zealand, Earthquake R. Langridge et al. 10.1785/0120170336
- Potential and Limitation of PlanetScope Images for 2-D and 3-D Earth Surface Monitoring With Example of Applications to Glaciers and Earthquakes S. Aati et al. 10.1109/TGRS.2022.3215821
- Some Thoughts on Measuring Earthquake Deformation Using Optical Imagery M. Huang et al. 10.1109/TGRS.2019.2943192
- Digital Image Correlation of Google Earth Images for Earth’s Surface Displacement Estimation L. Guerriero et al. 10.3390/rs12213518
- MMASTER: Improved ASTER DEMs for Elevation Change Monitoring L. Girod et al. 10.3390/rs9070704
- Assessing the potential of using high spatial resolution daily NDVI-time-series from planet CubeSat images for crop monitoring L. Guilherme Teixeira Crusiol et al. 10.1080/01431161.2021.1939908
- A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the ‘Cipolla Rossa di Tropea’ (Italy) G. Messina et al. 10.3390/rs12203424
- Massive collapse of two glaciers in western Tibet in 2016 after surge-like instability A. Kääb et al. 10.1038/s41561-017-0039-7
- Inventory and changes of rock glacier creep speeds in Ile Alatau and Kungöy Ala-Too, northern Tien Shan, since the 1950s A. Kääb et al. 10.5194/tc-15-927-2021
- Complex Crustal Deformation of the 2016 Kaikōura, New Zealand, Earthquake Revealed by ALOS‐2* Y. Morishita et al. 10.1785/0120180070
- Coseismic and postseismic deformation associated with the 2016 Mw 7.8 Kaikoura earthquake, New Zealand: fault movement investigation and seismic hazard analysis Z. Jiang et al. 10.1186/s40623-018-0827-3
- Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review S. Kabir et al. 10.3390/rs12244029
- Three different glacier surges at a spot: what satellites observe and what not F. Paul et al. 10.5194/tc-16-2505-2022
Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
We evaluate for the first time a new class of optical satellite images for measuring Earth surface displacements due to earthquakes – images from cubesats. The PlanetScope cubesats used in this study are 10 cm × 10 cm × 30 cm small and standardized satellites. Around 120 of these cubesats orbit around Earth and are about to provide daily 2–4 m resolution images of the entire land surface of the Earth.
We evaluate for the first time a new class of optical satellite images for measuring Earth...
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