· Aljazeera. (2023). Israeli strikes flatten buildings, mosques in Gaza. Aljazeera Press. Retrieved 2024/27/3 from https://www.aljazeera.com/gallery/2023/10/8/israeli-strikes-flatten-buildings-mosques-in-gaza
· Almodaresi, S. A., & Heshmati, S. (2015). Modeling the subsidence of the Neyshabour plain by using time series and DINSAR. Geography and Environmental Planning, 26(1), 67-84. https://gep.ui.ac.ir/article_18710_07c888aab17090bca209bcc5a182d1dd.pdf
· Amini, D. (2022). An analysis of the influential indicators in the implementation of urban warfare tactics by the ISIS armed forces in the occupation of Mosul (2014-2017). Military Science and Tactics, 18(59), 111-140. https://doi.org/10.22034/qjmst.2022.533242.1555
· Asadzadeh, F., Kaki, M., Shakiba, S., & Raei, B. (2016). Impact of drought on groundwater quality and groundwater level in Qorveh-Chardoli plain. Iran-Water Resources Research, 12(3), 153-165.
· Ballasiotes, A. D. (2020). Mapping Untreated and Semi-treated Wastewater Effluent off the Coast of Gaza with Sentinel-1 Time Series Data Oregon State University]. USA. https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/v692td70s
· Barra, A., Solari, L., Béjar-Pizarro, M., Monserrat, O., Bianchini, S., Herrera, G., Crosetto, M., Sarro, R., González-Alonso, E., Mateos, R. M., Ligüerzana, S., López, C., & Moretti, S. (2017). A methodology to detect and update active deformation areas based on Sentinel-1 SAR images. Remote Sensing, 9(10), 1002. https://www.mdpi.com/2072-4292/9/10/1002
· Boloorani, A. D., Darvishi, M., Weng, Q., & Liu, X. (2021). Post-war urban damage mapping using InSAR: the case of Mosul city in Iraq. ISPRS International Journal of Geo-Information, 10(3), 140.
· Chen, C. W., & Zebker, H. A. (2000). Network Approaches to Two-Dimensional Phase Unwrapping: Intractability and Two New Algorithms. JOSA A, 17(3), 401-414.
· De Luca, C., Bonano, M., Casu, F., Fusco, A., Lanari, R., Manunta, M., Manzo, M., Pepe, A., & Zinno, I. (2016). Automatic and systematic Sentinel-1 SBAS-DInSAR processing chain for deformation time-series generation. Procedia Computer Science, 100, 1176-1180.
· Delgado Blasco, J. M., Foumelis, M., Stewart, C., & Hooper, A. (2019). Measuring urban subsidence in the rome metropolitan area (Italy) with Sentinel-1 SNAP-StaMPS persistent scatterer interferometry. Remote Sensing, 11(2), 129.
· ESA. (2020). Displacement mapping with Sentinel-1 IW TOPS data. European Space Agency. Retrieved 2024/3/8 from https://step.esa.int/main/doc/tutorials/
· Fárová, K., Jelének, J., Kopačková-Strnadová, V., & Kycl, P. (2019). comparing DInSAR and PSI techniques employed to Sentinel-1 data to monitor highway stability: a case study of a massive Dobkovičky landslide, Czech republic. Remote Sensing, 11(22), 2670. https://www.mdpi.com/2072-4292/11/22/2670
· Ge, L., Ng, A. H.-M., Li, X., Abidin, H. Z., & Gumilar, I. (2014). Land subsidence characteristics of bandung basin as revealed by ENVISAT ASAR and ALOS PALSAR interferometry. Remote Sensing of Environment, 154, 46-60. https://doi.org/https://doi.org/10.1016/j.rse.2014.08.004
· Gupta, R. P. (2003). Remote Sensing Geology (2 ed.). Springer. https://doi.org/https://doi.org/10.1007/978-3-662-05283-9
· HDX. (2019). The Humanitarian Data Exchange. United Nations Office for the Coordination of Humanitarian Affairs (OCHA). Retrieved 2024/3/8 from https://data.humdata.org/dataset
· Karami Moghadam, M., Moradi Motlagh, E., Sabzevari, T., & Mohammadpour, R. (2021). Application of remote sensing and GIS techniques in SCS-CN model (case study: balarood basin, Khuzestan). Environment and Water Engineering, 7(1), 157-169. https://doi.org/10.22034/jewe.2020.252569.1441
· Karimzadeh, S., & Matsuoka, M. (2020). Ground displacement and building damage estimation of the 2017 Kermanshah earthquake using SAR remote sensing. Advance Researches in Civil Engineering, 2(1), 49-56.
· Maghsoudi, Y., Amani, R., & Ahmadi, H. (2019). A study of land subsidence in west of Tehran using Sentinel-1 images and permanent scatterers interferometry. Iran-Water Resources Research, 15(1), 299-313. https://www.iwrr.ir/article_80494.html
· Mishra, B., & Susaki, J. (2014). Optical and SAR data integration for automatic change pattern detection. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-7, 39-46. https://doi.org/10.5194/isprsannals-II-7-39-2014
· Mokhtari, d., Valizadeh Kamran, K., & Moradi Motlagh, E. (2020). The Role of interpolation methods for the production of R factor to estimate soil erosion of basins using RUSLE model (case study: balarood basin). Quantitative Geomorphological Research, 8(3), 222-241. https://www.geomorphologyjournal.ir/article_102803.html
· Moradi Motlagh, E. (2016). Monitoring the changes of Hawizeh marshes using the object-oriented method and Landsat 5 and 8 satellite images between 1986 and 2016. International Conference on Ceographic and Environmental Impacts of Urmia Lake Conditions, Tabriz, Iran.
· Nayebzadeh, F., Madadi, A., & Azizi, G. (2018). The evaluation of tectonic activity in Eshtehard plain basin with interferometry. Geography and Environmental Sustainability, 8(1), 15-27. https://ges.razi.ac.ir/article_894_a217055826cbd02d0bc0926603eca09a.pdf
· Osmanoğlu, B., Sunar, F., Wdowinski, S., & Cabral-Cano, E. (2016). Time series analysis of insar data: methods and trends. ISPRS Journal of Photogrammetry and Remote Sensing, 115, 90-102.
· Pawluszek-Filipiak, K., & Borkowski, A. (2020). Integration of DInSAR and SBAS techniques to determine mining-related deformations using Sentinel-1 data: The case study of Rydułtowy mine in Poland. Remote Sensing, 12(2), 242.
· Qiao, X., Chu, T., Tissot, P., & Holland, S. (2023). Sentinel-1 InSAR-derived land subsidence assessment along the Texas gulf coast. International Journal of Applied Earth Observation and Geoinformation, 125, 103544. https://doi.org/https://doi.org/10.1016/j.jag.2023.103544
· Rahmatinia, V., Moradi, E., Jafari, M., & Mehrabi, M. R. (2023). Lotting out the minefields by means of remote sensing sources and GIS Techniques (case study: the common border region of Iraq with the cities of Dehloran, Shush and Dasht-e-Azadegan). Military Science and Tactics, 19(65), 113-141. https://doi.org/10.22034/qjmst.2024.560739.1762
· Richard, B., & Philipp, H. (1998). Synthetic aperture radar interferometry. Inverse Problems, 14(4), R1. https://doi.org/10.1088/0266-5611/14/4/001
· Serhii, A. S., Vyshnevskyi, V. I., & Olena, P. B. (2022). The use of remote sensing data for investigation of environmental consequences of Russia-Ukraine war. Journal of Landscape Ecology, 15(3), 36-53.
· Valerio, E., Tizzani, P., Carminati, E., Doglioni, C., Pepe, S., Petricca, P., Luca, C., Bignami, C., Solaro, G., Castaldo, R., De Novellis, V., & Lanari, R. (2018). Ground deformation and source geometry of the 30 October 2016 Mw 6.5 Norcia earthquake (central Italy) investigated through seismological data, DInSAR Measurements, and Numerical Modelling. Remote Sensing, 10, 1901. https://doi.org/10.3390/rs10121901
· Villarroel, C. D., Tamburini Beliveau, G., Forte, A. P., Monserrat, O., & Morvillo, M. (2018). DInSAR for a regional inventory of active rock glaciers in the dry andes mountains of Argentina and Chile with Sentinel-1 data. Remote Sensing, 10(10), 1588.
· Zan, F. D., & Guarnieri, A. M. (2006). TOPSAR: Terrain observation by progressive scans. IEEE Transactions on Geoscience and Remote Sensing, 44(9), 2352-2360. https://doi.org/10.1109/TGRS.2006.873853
· Zebker, H. A., Rosen, P. A., & Hensley, S. (1997). Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps. Journal of geophysical research: solid earth, 102(B4), 7547-7563.
· Zebker, H. A., & Villasenor, J. (1992). Decorrelation in interferometric radar echoes. IEEE Transactions on Geoscience and Remote Sensing, 30(5), 950-959. https://doi.org/10.1109/36.175330
· Zhou, L., Guo, J., Hu, J., Li, J., Xu, Y., Pan, Y., & Shi, M. (2017). Wuhan surface subsidence analysis in 2015–2016 based on Sentinel-1A data by SBAS-InSAR. Remote Sensing, 9(10), 982.
