Articles | Volume 22, issue 8
Research article
17 Aug 2022
Research article |  | 17 Aug 2022

Using Sentinel-1 radar amplitude time series to constrain the timings of individual landslides: a step towards understanding the controls on monsoon-triggered landsliding

Katy Burrows, Odin Marc, and Dominique Remy

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Cited articles

Aimaiti, Y., Liu, W., Yamazaki, F., and Maruyama, Y.: Earthquake-Induced Landslide Mapping for the 2018 Hokkaido Eastern Iburi Earthquake Using PALSAR-2 Data, Remote Sensing, 11, 2351,, 2019. a
Ao, M., Zhang, L., Dong, Y., Su, L., Shi, X., Balz, T., and Liao, M.: Characterizing the evolution life cycle of the Sunkoshi landslide in Nepal with multi-source SAR data, Sci. Rep., 10, 1–12, 2020. a, b
Baghdadi, N., Choker, M., Zribi, M., Hajj, M. E., Paloscia, S., Verhoest, N. E., Lievens, H., Baup, F., and Mattia, F.: A new empirical model for radar scattering from bare soil surfaces, Remote Sensing, 8, 920,, 2016. a, b
Ban, Y., Zhang, P., Nascetti, A., Bevington, A. R., and Wulder, M. A.: Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning, Sci. Rep., 10, 1–15, 2020. a, b
Baum, R. L., Godt, J. W., and Savage, W. Z.: Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration, J. Geophys. Res.-Ea. Surf., 115, F03013,, 2010. a
Short summary
The locations of triggered landslides following a rainfall event can be identified in optical satellite images. However cloud cover associated with the rainfall means that these images cannot be used to identify landslide timing. Timings of landslides triggered during long rainfall events are often unknown. Here we present methods of using Sentinel-1 satellite radar data, acquired every 12 d globally in all weather conditions, to better constrain the timings of rainfall-triggered landslides.
Final-revised paper