1. Asadi, M., Ganjaeian, H., Javedani, M., & Ghaderi Hasab, M. (2021). Evaluation of the Relationship between Natural Factors and Subsidence in Ivanaki Plain Using Radar Imaging. Hydrogeology, 6(1), 13-22. (In Persian) https://doi.org/10.22034/hydro.2021.13016
2. Bakhtar, S., shafiei, A., & Azmi, A. (2024). Analysis of Factors Affecting the Optimal Management of Agricultural Water Resources (Case Study: Hassan Abad District, West Islamabad County). Geography and Environmental Sustainability, 14(2), 19-32. (In Persian) https://doi.org/10.22126/ges.2024.10349.2742
3. Bokhari, R., Shu, H., Tariq, A., Al-Ansari, N., Guluzade, R., Chen, T., Jamil, A., & Aslam, M. (2023). Land subsidence analysis using synthetic aperture radar data, Heliyon, 9(3). https://doi.org/10.1016/j.heliyon.2023.e14690
4. Bozzano, F., Esposito, C., Franchi, S., Mazzanti, P., Perissin, D., & Rocca, A. (2015). Understanding the subsidence process of a quaternary plain by combining geological and hydrogeological modelling with satellite InSAR data: the acque albule plain case study. Remote Sens. Environ, 168, 219–238. https://doi.org/10.1016/j.rse.2015.07.010
5. Chen, B., Gong, H., Li, X., Lei, K., Ke, Y., Duan, G., & Zhou, C. (2015). Spatial correlation between land subsidence and urbanization in Beijing, China. Natural Hazards, 75(3), 2637–2652. http://dx.doi.org/10.1007/s11069-014-1451-6
6. Delinom, R., Assegaf, A., Abidin, H. Z., & Taniguchi, M. (2009). The Contribution of Human Activities to Subsurface Environment Degradation in Greater Jakarta Area, Indonesia. Science of the Total Environment, 407(9), 3129-3141. http://dx.doi.org/10.1016/j.scitotenv.2008.10.003
7. Ebrahimi, A., Ghasemi, A., & Ganjaeian, H. (2020). Monitoring the Subsidence Rate of Pakdasht Urban Area Using Radar interferometry method. Geography and Human Relationships, 2(4), 29-41. (In Persian) https://dor.isc.ac/dor/20.1001.1.26453851.1399.2.4.3.1
8. Ganjaeian, H. (2024). Identification of sinkhole-prone areas using radar images (Case study: Qorveh Plain). Environmental erosion research, 14(2), 87-105. (In Persian) http://dx.doi.org/10.61186/jeer.14.2.6
9. Ganjaeian, H., Asadi, M., Menbari, F., & Ebrahimi, A. (2023). Analysis of Subsidence Status in Hamedan Urban Area using Radar and Satellite Images. Journal of Geography and Environmental Hazards, 11(4), 236-221. (In Persian) https://doi.org/10.22067/geoeh.2022.76383.1217
10. Ganjaeian, H., Menbari, F., Ghasemi, A., & Nosrati, M. (2023). Assessment and analysis of subsidence risk in Kaboudar Ahang-Famenin plain. Scientific- Research Quarterly of Geographical Data (SEPEHR), 31(124), 75-86. (In Persian) https://doi.org/10.22131/sepehr.2023.553000.2871
11. Ghorbani Mohammadabadi, S., Nejad hossini, R., & Ganjaeian, H. (2023). Analysis of the effective factors in the subsidence of the Ghahavand Plain Using radar and satellite images. Geography and Human Relationships, 5(4), 542-553. (In Persian) https://dor.isc.ac/dor/20.1001.1.26453851.1402.5.4.29.4
12. Iran Statistical Center. (2016). Semnan Province Population Report. (In Persian) https://amar.org.ir/
13. Khan, S. D., Faiz, M. I., Gadea, C. A., & Ahmad, A. (2023). Study of land subsidence by radar interferometry and hot spot analysis techniques in the Peshawar Basin, Pakista. The Egyptian Journal of Remote Sensing and Space Science, 26(1), 173-184. https://doi.org/10.1016/j.ejrs.2023.02.001
14. Kim, J.S., Kim, D.J., Kim, S.W., & Won, J.S. 2007. Moon, W.M. Monitoring of urban land surface subsidence using PSInSAR. Geosciences Journal, 11(1), 59-73. http://dx.doi.org/10.1007/BF02910381
15. Li, W., Wang, Y., Wang, G., Liang, Y., Li, C., & Svenning, J.C. (2023). How do rotifer communities respond to floating photovoltaic systems in the subsidence wetlands created by underground coal mining in China? Journal of Environmental Management, 339(6). http://dx.doi.org/10.1016/j.jenvman.2023.117816
16. Malik, K., Kumar, D., Perissin, D., & Pradhan, B. (2022). Estimation of ground subsidence of New Delhi, India using PS-InSAR technique and Multi-sensor Radar data, Estimation of ground subsidence of New Delhi, India using PS-InSAR technique and Multi-sensor Radar data. Advances in Space Research, 69(4), 1863-1882. https://doi.org/10.1016/j.asr.2021.08.032
17. Mohammahkhan, S., Ganjaeian, H., Garosi, L., & Zanganetabar, Z. (2020). Assessing the impact of groundwater drop on the subsidence rate using the Sentinel-1 Radar images - Case study: Qorveh Plain. Scientific- Research Quarterly of Geographical Data (SEPEHR), 28(112), 219-229. (In Persian) https://doi.org/10.22131/sepehr.2020.38617
18. Mohammahkhan, S., Ganjaeian, H., Shahri, S., & Abbaszade, A. (2019). Predicting the trend of urban development toward hazardous areas using multi temporal images (Case Study: Marivan City). Scientific- Research Quarterly of Geographical Data (SEPEHR), 28(110), 107-117. (In Persian) https://doi.org/10.22131/sepehr.2019.36615
19. Negahban, S., Ganjaeian, H., Ebrahimi, A. & Emami, K. (2019). Monitoring and predicting the trend of changes in residential areas using multi-timed images (Case study: Songhor city). Journal of the Earth and Space Physics, 45(2), 343-354. (In Persian) https://doi.org/10.22059/jesphys.2019.275076.1007084
20. Negahban, S., Ganjaeian, H., Ebrahimi, A., & Gheysarian, S.S. (2025). Analysis of the Roles of Environmental Factors in the Occurrence of Floods Using the Google Earth Engine System (Case Study: West of Golestan Province). Geography and Environmental Planning, 35(4), 1-18. (In Persian) https://doi.org/10.22108/gep.2024.142342.1659
21. Negahban, S., Ganjaeian, H., Feraydooni Kordestani, M., & Cheshmeh sefidi, Z. (2019). Assessing the physical development of cities and extending to geomorphological prohibited areas Using LCM (Case Study: Sanandaj City). Journal of Natural Environmental Hazards, 8(20), 39-52. (In Persian) https://doi.org/10.22111/jneh.2018.21943.1317
22. Negahban, S., Peysoozi, T., Ganjaeian, H., & Norozi, M. (2021). Identify areas prone to landslide and vertical displacement using Radar images (Case study: Lavasan urban area and urban margin). Journal of Geography and Environmental Hazards, 10(3), 1-18. (In Persian) https://doi.org/10.22067/geoeh.2021.71728.1094
23. Pireh, M., & Ganjaeian, H. (2024). Analysis of landslides occurred in connection with environmental factors (Case study: Sanandaj County). Geography and Human Relationships, 7(3), 262-278. (In Persian) https://doi.org/10.22034/gahr.2025.458065.2135
24. Raspini, E., Caleca, F., Del Soldato, M., Festa, D., Confuorto, P., & Bianchini, S. (2022). Review of satellite radar interferometry for subsidence analysis. Earth-Science Reviews, 235. http://dx.doi.org/10.1016/j.earscirev.2022.104239
25. Safari Namivandi, M., Ganjaeian, H., Ebrahimi, A., & Ebadinezhad, S. 2023. Evaluation of desertification risk potential using DVI model (Case study: northern regions of Semnan province). Journal of Arid Regions Geographic Studies, 14(53), 17-1. (In Persian) https://doi.org/10.22034/jargs.2023.397791.1032
26. Safari Namivandi, M., Ganjaeian, H., Nosrati, M., & Mohammadian, K. (2024). Identification of flooded areas and analysis of factors influencing its occurrence (Case study: Southeast of Sistan and Baluchestan province). Quantitative Geomorphological Research, 13(2), 181-194. (In Persian) https://doi.org/10.22034/gmpj.2024.449586.1494
27. Salari, M., Nayeri, H., Amani, K. & Ganjaeian, H. (2017). Locating Suitable Directions for Kamyaran Urban Development through a Hazardology Approach based on the Application of Geomorphologically Restricted Areas. Environmental Management Hazards, 4(4), 419-436. (In Persian) https://doi.org/10.22059/jhsci.2018.252694.341
28. Salari, M., Nayyeri, H., Ganjaeian, H., & Amani, K. (2020). Assessment and Prediction of the process of expansion of residential areas with Geomorphological Approach and Environmental Management (Case Study: Paveh City). Quantitative Geomorphological Research, 9(1), 86-101. (In Persian) https://doi.org/10.22034/gmpj.2020.109536
29. Shafiee, A., & Azmi, A. (2024). Assessment of the effects of sustainable agriculture on water and soil resources (Case study: Homil District of Islamabad Gharb County). Agricultural Economics Research, 16(2), 15-29. (In Persian) https://doi.org/10.30495/jae.2023.31328.2367
30. Shi, X., Chen, C., Dat, K., Deng, J., Wen, N., Yin, Y., & Dong, X. (2022). Monitoring and Predicting the Subsidence of Dalian Jinzhou Bay International Airport, China by Integrating InSAR Observation and Terzaghi Consolidation Theory. Remote Sens, 14(10). https://doi.org/10.3390/rs14102332
31. Thapa, S., Chatterjee, R.S., Singh, K.B., & Kumar, D. (2016). Land subsidence monitoring using ps-insar technique for l-band sar data. Int Arch Photogramm Remote Sens Spatial Inf Sci, 40. https://doi.org/10.5194/isprs-archives-XLI-B7-995-2016
32. Wagstaff, D.A., Elek, E., Kulis, S., & Marsiglia, F. (2009). Using a nonparametric bootstrap to obtain a confidence interval for Pearson's r with cluster randomized data: a case study. J Prim Prev. 30(5), 497-512. https://doi.org/10.1007/s10935-009-0191-y
33. Wang, H., Jia, C., Ding, P., Feng, K., Yang, X., & Zhu, X. (2022). Analysis and Prediction of Regional Land Subsidence with InSAR Technology and Machine Learning Algorithm, Civil Engineering, 25. https://doi.org/10.1007/s12205-022-1067-4
34. Wang, Y., Gong, H., Zhou, C., Wang, Q., Wang, H., & Zhang, J. (2025). Decomposition and attribution analysis of the coupled evolution characteristics of groundwater and land subsidence in the Beijing-Tianjin-Hebei Plain. Journal of Hydrology: Regional Studies, 59. https://doi.org/10.1016/j.ejrh.2025.102393
35. Yan, D., Lewis, C., & Stocking, M. (2004). Adaptive Testing With Regression Trees in the Presence of Multidimensionality. Journal of Educational and Behavioral Statistics, 29(3), 293-316. https://doi.org/10.3102/10769986029003293
36. Yastika, P.E., Shimizu, N., & Abidin, H.Z. (2019). Monitoring of long-term land subsidence from 2003 to 2017 in coastal area of Semarang, Indonesia by SBAS DInSAR analyses using Envisat-ASAR, ALOS-PALSAR, and Sentinel-1A SAR data. Advances in Space Research, 63(5). 1719-1736. https://ui.adsabs.harvard.edu/link_gateway/2019AdSpR..63.1719Y/doi:10.1016/j.asr.2018.11.008
37. Zhao, Q., Ma. G., Wang. Q., Yang. T., Liu, M., Gao, W., Falabella, F., Mastro, P., & A, Pepe. (2019). Generation of long-term InSAR ground displacement time-series through a novel multi-sensor data merging technique: The case study of the Shanghai coastal area. ISPRS Journal of Photogrammetry and Remote Sensing, 154, 10-27. https://doi.org/10.1016/j.isprsjprs.2019.05.005
38. Zhu, M., Yu, X., Tan, H., Yuan, J., Chen, K., Xie, S., Han, Y., & Long, W. (2020). High-precision monitoring and prediction of mining area surface subsidence using SBAS-InSAR and CNN-BiGRU-attention model. Sci Rep, 14, 28968. https://doi.org/10.1038/s41598-024-80446-7