Publications

Peer reviewed journal papers

  • Chen, F., Diao, F., Haghshenas Haghighi, M., Wang, Y., Zhu, Y., Wang, R., Xiong, X. (2024): Mechanism and implications of the post-seismic deformation following the 2021 Mw 7.4 Maduo (Tibet) earthquake. - Geophysical Journal International 237:1, 203–216 | File |
    DOI: 10.1093/gji/ggae034
  • Haghshenas Haghighi, M., Motagh, M. (2024): Uncovering the impacts of depleting aquifers: A remote sensing analysis of land subsidence in Iran. Science. Advances. 10:eadk3039. | File |
    DOI: 10.1126/sciadv.adk3039
  • Bockstiegel, M., Richard-Cerda, J. C., Muñoz-Vega, E., Haghighi, M. H., Motagh, M., Lalehzari, R., Schulz, S. (2023): Simulation of present and future land subsidence in the Rafsanjan plain, Iran, due to groundwater overexploitation using numerical modeling and InSAR data analysis. - Hydrogeology Journal.
    DOI: 10.1007/s10040-023-02657-y
  • Orhan, O., Haghshenas Haghighi, M., Demir, V., Gökkaya, E., Gutiérrez, F., & Al-Halbouni, D. (2023): Spatial and Temporal Patterns of Land Subsidence and Sinkhole Occurrence in the Konya Endorheic Basin, Turkey, Geosciences, 14(1): 5
    DOI: 10.3390/geosciences14010005
  • Durand, V., Gualandi, A., Ergintav, S., Kwiatek, G., Haghshenas, M., Motagh, M., Dresen, G., Martinez Garcon, P. (2022): Deciphering aseismic deformation along submarine fault branches below the eastern Sea of Marmara (Turkey): Insights from seismicity, strainmeter, and GNSS data. - Earth and Planetary Science Letters, 594, 117702.
    DOI: 10.1016/j.epsl.2022.117702
  • Guo, Z., Motagh, M., Hu, J.-C., Xu, G., Haghighi, M. H., Bahroudi, A., Fathian, A., Li, S. (2022): Depth-varying friction on a ramp-flat fault illuminated by ∼3-year InSAR observations following the 2017 Mw 7.3 Sarpol-e Zahab earthquake, Journal of Geophysical Research: Solid Earth, 127, e2022JB025148.
    DOI: 10.1029/2022JB025148
  • Hu, J.; Motagh, M.; Guo, J.; Haghshenas Haghighi, M.; Li, T.; Qin, F.; Wu, W.; (2022): Inferring subsidence characteristics in Wuhan (China) through multitemporal InSAR and hydrogeological analysis., Engineering Geology. vol 297.
    DOI: 10.1016/j.enggeo.2022.106530
  • Ghosh, B.; Motagh, M.; Haghshenas Haghighi, M.; Vassileva, M. S.; Walter, T. R.; Maghsudi, S. (2021): Automatic Detection of Volcanic Unrest Using Blind Source Separation With a Minimum Spanning Tree Based Stability Analysis., IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14
    DOI: 10.1109/JSTARS.2021.3097895
  • Vey, S.; Al-Halbouni, D.; Haghshenas Haghighi, M.; Alshawaf, F.; Vüllers, J.; Güntner, A.; Dick, G.; Ramatschi, M.; Teatini, P.; Wickert, J.; Weber, M. (2021): Delayed subsidence of the Dead Sea shore due to hydro-meteorological changes., Scientific reports. vol. 11(1) More info
  • Shamshiri, R.; Motagh, M.; Nahavandchi, H.; Haghshenas Haghighi, M.; Hoseini, M. (2020): Improving tropospheric corrections on large-scale Sentinel-1 interferograms using a machine learning approach for integration with GNSS-derived zenith total delay (ZTD).Remote Sensing of Environment vol. 239 More info
  • Haghshenas Haghighi, M.; Motagh, M. (2019): Ground surface response to continuous compaction of aquifer system in Tehran, Iran: Results from a long-term multi-sensor InSAR analysis.Remote Sensing of Environment. vol. 221 More info
  • Walter, T.R.; Haghshenas Haghighi, M.; Schneider, F.M.; Coppola, D.; Motagh, M.; Saul, J.; Babeyko, A.; Dahm, T.; Troll, V.R.; Tilmann, F.; Heimann, S. (2019): Complex hazard cascade culminating in the Anak Krakatau sector collapse., Nature communications. vol. 10(1) More info

Non-reviewed conference papers

  • Hotaki, S. F., Haghighi, M. H., Motagh, M. (2023): Flood Extent Delineation in Afghanistan Using Sentinel-1 SAR survey in Google Earth Engine cloud-based processing, International Union of Geodesy and Geophysics (IUGG)
    DOI: 10.57757/IUGG23-4011
  • Piter, A., Haghighi, M. H., and Motagh, M. (2022): Evaluation of pixel selection methods for traffic infrastructure monitoring using Sentinel-1 InSAR. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B3-2022, 333-340.
    DOI: 10.5194/isprs-archives-XLIII-B3-2022-333-2022
  • Durand, V., Martinez Garzon, P., Gualandi, A., Haghshenas Haghighi, M., Motagh, M., Dresen, G., Bohnhoff, M. (2021): Deciphering deformation along submarine fault branches below the eastern Sea of Marmara (Turkey): insights from seismicity, strainmeter, GPS and InSAR data - Abstracts, EGU General Assembly 2021 (Online 2021).
    DOI: 10.5194/egusphere-egu21-8651
  • GHOSH, B., Motagh, M., Haghshenas Haghighi, M., Walter, T. (2021): Using minimal spanning tree based ICA optimization for volcanic unrest determination - Abstracts, EGU General Assembly 2021 (Online 2021).
    DOI: 10.5194/egusphere-egu21-3200
  • Haghshenas Haghighi, M., Motagh, M. (2021): Monitoring stability of embankment dams in response to 2019 Iran Flood event - Abstracts, EGU General Assembly 2021 (Online 2021)
    DOI: 10.5194/egusphere-egu21-14308
  • Haghshenas Haghighi, M., Motagh, M. (2021): Aquifer Depletion in Iran: A Nation-wide Survey from Space-borne and In-situ Measurements - Abstracts, FRINGE Workshop 2021
  • Haghshenas Haghighi, M., Motagh, M. (2021): Monitoring flood-cycle stability of embankment dams: Results from 2019 flood event in Khuzestan, Iran - Abstracts, FRINGE Workshop 2021
  • Haghshenas Haghighi, M.; Motagh, M.; (2021): Land Subsidence Hazard in Iran Revealed by Country-Scale Analysis of SENTINEL-1 InSAR. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. vol. XLIII-B3-2021, 155-161, 2021 More info
  • Montazeri, S., Ansari, H., De Zan, F., Mania, R., Shau, R., Beker, T., Parizzi, A., Haghshenas Haghighi, M., Niemz, P., Cesca, S., Motagh, M., Walter, T., Eineder, M., Zhu, X. X. (2021): TecVolSA: InSAR and Machine Learning for Surface Displacement Monitoring in South America - Abstracts, EGU General Assembly 2021
  • Piter, A.; Vassileva, M.; Haghshenas Haghighi, M.; Motagh, M.; (2021): Exploring Cloud-Based Platforms for Rapid Insar Time Series Analysis., The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. vol.43 More info