Publications

Guo, Z., Motagh, M., Hu, J.C., Xu, G., Haghighi, M.H., Bahroudi, A., Fathian, A. and 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, p.e2022JB025148.

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.

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 More info

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

Piter, A., Haghighi, M. H., and Motagh, M. (2022): EVALUATION OF PIXEL SELECTION METHODS FOR TRAFFIC INFRASTRUCTURE MONITORING USING SENTINEL-1 INSAR, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 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