628
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Surface deformation detection and attribution in the Mountain-Oasis-Desert Landscape in north Tianshan Mountains

, ORCID Icon, , &
Article: 2270814 | Received 15 Jun 2023, Accepted 10 Oct 2023, Published online: 26 Oct 2023

References

  • Amelung, F., S. Jónsson, H. Zebker, and P. Segall. 2000. “Widespread Uplift and ‘Trapdoor’faulting on Galapagos Volcanoes Observed with Radar Interferometry.” Nature 407 (6807): 993–23.
  • Andaryani, S., V. Nourani, D. Trolle, M. Dehghani, and A. Mokhtari Asl. 2019. “Assessment of Land Use and Climate Change Effects on Land Subsidence Using a Hydrological Model and Radar Technique.” Canadian Journal of Fisheries and Aquatic Sciences 578:124070. https://doi.org/10.1016/j.jhydrol.2019.124070.
  • Azadnejad, S., M. Esmaeili, Y. Maghsoudi, S. Donohue, and M. Khoshlahjeh Azar. 2023. “Extending Polarimetric Optimization of Multi-Temporal InSar Techniques on Dual Polarized Sentinel-1 Data.” Advances in Space Research 72 (2): 349–360. https://doi.org/10.1016/j.asr.2023.03.009.
  • Baran, I., M. P. Stewart, B. M. Kampes, Z. Perski, and P. Lilly. 2003. “A Modification to the Goldstein Radar Interferogram Filter.” IEEE Transactions on Geoscience & Remote Sensing 41 (9): 2114–2118. https://doi.org/10.1109/TGRS.2003.817212.
  • Berardino, P., G. Fornaro, R. Lanari, and E. Sansosti. 2002. “A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms.” IEEE Transactions on Geoscience & Remote Sensing 40 (11): 2375–2383. https://doi.org/10.1109/tgrs.2002.803792.
  • Bing, Y., J. She, G. Liu, M. Deying, R. Zhang, Z. Zhou, and B. Zhang. 2022. “Coal Fire Identification and State Assessment by Integrating Multitemporal Thermal Infrared and InSar Remote Sensing Data: A Case Study of Midong District, Urumqi, China.” Isprs Journal of Photogrammetry & Remote Sensing 190:144–164. https://doi.org/10.1016/j.isprsjprs.2022.06.007.
  • Brian, L., C. S. J. Markham, and R. Irons James. 2013. “Landsat Data Continuity Mission, Now Landsat-8: Six Months On-Orbit.” In Paper presented at the Proceeding, San Diego, California, United States, SPIE. https://doi.org/10.1117/12.2025290.
  • Chen, J., W. Tonghua, D. Zou, L. Liu, W. Xiaodong, W. Gong, X. Zhu, et al. 2022. “Magnitudes and Patterns of Large-Scale Permafrost Ground Deformation Revealed by Sentinel-1 InSar on the Central Qinghai-Tibet Plateau.” Remote Sensing of Environment 268:112778. https://doi.org/10.1016/j.rse.2021.112778.
  • Chen, Y., L. Zhi, Y. Fan, H. Wang, and H. Deng. 2015. “Progress and Prospects of Climate Change Impacts on Hydrology in the Arid Region of Northwest China.” Environmental Research 139:11–19. https://doi.org/10.1016/j.envres.2014.12.029.
  • Conway, B. D. 2016. “Land Subsidence and Earth Fissures in South-Central and Southern Arizona, USA.” Hydrogeology Journal 24 (3): 649–655. https://doi.org/10.1007/s10040-015-1329-z.
  • Costantini, M., A. Farina, and F. Zirilli. 1999. “A Fast Phase Unwrapping Algorithm for SAR Interferometry.” IEEE Transactions on Geoscience & Remote Sensing 37 (1): 452–460. https://doi.org/10.1109/36.739085.
  • Cui, P., G. D. Z. Gordon, X. H. Zhu, and J. Q. Zhang. 2013. “Scale Amplification of Natural Debris Flows Caused by Cascading Landslide Dam Failures.” Geomorphology 182:173–189. https://doi.org/10.1016/j.geomorph.2012.11.009.
  • Esmaeili, M., and M. Motagh. 2016. “Improved Persistent Scatterer Analysis Using Amplitude Dispersion Index Optimization of Dual Polarimetry Data.” Isprs Journal of Photogrammetry & Remote Sensing 117:108–114. https://doi.org/10.1016/j.isprsjprs.2016.03.018.
  • Fan, B., G. Luo, Z. H. Ch Zhang, C. Li, Y. Wang, and L. Bai. 2013. “Evaluation of Summer Precipitation of CFSR, ERA-Interim and MERRA Reanalyses in Xinjiang.” Geographical Research 32: 1602–1612. https://doi.org/10.11821/dlyj201309003.
  • Ferretti, A., A. Fumagalli, F. Novali, C. Prati, F. Rocca, and A. Rucci. 2011. “A New Algorithm for Processing Interferometric Data-Stacks: SqueeSar.” IEEE Transactions on Geoscience & Remote Sensing 49 (9): 3460–3470. https://doi.org/10.1109/tgrs.2011.2124465.
  • Ferretti, A., C. Prati, and F. Rocca. 2000. “Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry.” IEEE Transactions on Geoscience & Remote Sensing 38 (5): 2202–2212.
  • Fetter, C. W. 2018. Applied Hydrogeology. Waveland Press.
  • Fialko, Y. 2006. “Interseismic Strain Accumulation and the Earthquake Potential on the Southern San Andreas Fault System.” Nature 441 (7096): 968–971.
  • Fu, Q., B. Li, Y. Hou, X. Bi, and X. Zhang. 2017. “Effects of Land Use and Climate Change on Ecosystem Services in Central Asia’s Arid Regions: A Case Study in Altay Prefecture, China.” Science of the Total Environment 607-608:633–646. https://doi.org/10.1016/j.scitotenv.2017.06.241.
  • Gao, W. H., and R. Han. 2020. Xinjiang Statistical Yearbook. Beijing, China: China Statistics Press.
  • Hellwich, O., and H. Ebner. 2000. “Geocoding SAR Interferograms by Least Squares Adjustment.” Isprs Journal of Photogrammetry & Remote Sensing 55 (4): 277–288. https://doi.org/10.1016/S0924-2716(00)00025-3.
  • Höser, T. 2018. Analysing the Capabilities and Limitations of InSar Using Sentinel-1 Data for Landslide Detection and Monitoring. Germany: Department of Geography, University of Bonn Bonn.
  • Jin, H.-J., W. Qing-Bai, and V. E. Romanovsky. 2021. “Degrading Permafrost and Its Impacts.” Advances in Climate Change Research 12 (1): 1–5. https://doi.org/10.1016/j.accre.2021.01.007.
  • Junle, J., and R. B. Lohman. 2021. “Coherence-Guided InSar Deformation Analysis in the Presence of Ongoing Land Surface Changes in the Imperial Valley, California.” Remote Sensing of Environment 253:112160. https://doi.org/10.1016/j.rse.2020.112160.
  • Kamali, E., I. P. Muhagir, C. Loupasakis, A. Abuelgasim, K. Omari, and C. Kontoes. 2021. “Monitoring of Land Surface Subsidence Using Persistent Scatterer Interferometry Techniques and Ground Truth Data in Arid and Semi-Arid Regions, the Case of Remah, UAE.” Science of the Total Environment 776:145946. https://doi.org/10.1016/j.scitotenv.2021.145946.
  • Kang, Y., L. Zhong, C. Zhao, X. Yuankun, J.-W. Kim, and A. J. Gallegos. 2021. “InSar Monitoring of Creeping Landslides in Mountainous Regions: A Case Study in Eldorado National Forest, California.” Remote Sensing of Environment 258. https://doi.org/10.1016/j.rse.2021.112400.
  • Liu, Q., Z. Yang, H. Shi, and Z. Wang. 2019. “Ecological Risk Assessment of Geohazards in Natural World Heritage Sites: An Empirical Analysis of Bogda, Tianshan.” Open Geosciences 11 (1): 327–340. https://doi.org/10.1515/geo-2019-0026.
  • Luo, G., Y. Feng, B. Zhang, and W. Cheng. 2010. “Sustainable Land-Use Patterns for Arid Lands: A Case Study in the Northern Slope Areas of the Tianshan Mountains.” Journal of Geographical Sciences 20 (4): 510–524. https://doi.org/10.1007/s11442-010-0510-5.
  • Luo, G. P., C. H. Zhou, X. Chen, and Y. Li. 2008. “A Methodology of Characterizing Status and Trend of Land Changes in Oases: A Case Study of Sangong River Watershed, Xinjiang, China.” Journal of Environmental Management 88 (4): 775–783. https://doi.org/10.1016/j.jenvman.2007.04.003.
  • Marta, B.-P., P. Ezquerro, G. Herrera, R. Tomás, C. Guardiola-Albert, J. M. Ruiz Hernández, J. A. Fernández Merodo, M. Marchamalo, and R. Martínez. 2017. “Mapping Groundwater Level and Aquifer Storage Variations from InSar Measurements in the Madrid Aquifer, Central Spain.” Canadian Journal of Fisheries and Aquatic Sciences 547: 678–689. https://doi.org/10.1016/j.jhydrol.2017.02.011.
  • Massonnet, D., and K. L. Feigl. 1998. “Radar Interferometry and Its Application to Changes in the Earth’s Surface.” Reviews of Geophysics 36 (4): 441–500.
  • Mimi, P., L. Zhong, C. Zhao, M. Motagh, L. Bai, B. D. Conway, and H. Chen. 2022. “Mapping Land Subsidence and Aquifer System Properties of the Willcox Basin, Arizona, from InSar Observations and Independent Component Analysis.” Remote Sensing of Environment 271: 112894. https://doi.org/10.1016/j.rse.2022.112894.
  • Moretto, S., F. Bozzano, and P. Mazzanti. 2021. “The Role of Satellite InSar for Landslide Forecasting: Limitations and Openings.” Remote Sensing 13 (18): 3735.
  • Navarro-Sanchez, V. D., J. M. Lopez-Sanchez, and F. Vicente-Guijalba. 2010. “A Contribution of Polarimetry to Satellite Differential SAR Interferometry: Increasing the Number of Pixel Candidates.” IEEE Geoscience & Remote Sensing Letters 7 (2): 276–280. https://doi.org/10.1109/LGRS.2009.2033013.
  • Niu, F., L. Anyuan, J. Luo, Z. Lin, G. Yin, M. Liu, H. Zheng, and H. Liu. 2017. “Soil Moisture, Ground Temperatures, and Deformation of a High-Speed Railway Embankment in Northeast China.” Cold Regions Science & Technology 133: 7–14. https://doi.org/10.1016/j.coldregions.2016.10.007.
  • Patton, A. I., S. L. Rathburn, and D. M. Capps. 2019. “Landslide Response to Climate Change in Permafrost Regions.” Geomorphology 340: 116–128. https://doi.org/10.1016/j.geomorph.2019.04.029.
  • Riel, B., M. Simons, D. Ponti, P. Agram, and R. Jolivet. 2018. “Quantifying Ground Deformation in the Los Angeles and Santa Ana Coastal Basins Due to Groundwater Withdrawal.” Water Resources Research 54 (5): 3557–3582. https://doi.org/10.1029/2017WR021978.
  • Rouyet, L., O. Karjalainen, P. Niittynen, J. Aalto, M. Luoto, T. R. Lauknes, Y. Larsen, and J. Hjort. 2021. “Environmental Controls of InSAR-Based Periglacial Ground Dynamics in a Sub-Arctic Landscape.” Journal of Geophysical Research: Earth Surface 126 (7): e2021JF006175. https://doi.org/10.1029/2021JF006175.
  • Shi, X., J. Wang, M. Jiang, S. Zhang, W. Yunlong, and Y. Zhong. 2022. “Extreme Rainfall-Related Accelerations in Landslides in Danba County, Sichuan Province, as Detected by InSar.” International Journal of Applied Earth Observation and Geoinformation 115:103109. https://doi.org/10.1016/j.jag.2022.103109.
  • Shi, X., and H. Xie. 2023. “Characterization of Landslide Displacements in an Active Fault Zone in Northwest China.” Earth Surface Processes and Landforms. n/a (n/a). https://doi.org/10.1002/esp.5594.
  • Shi, M., H. Yang, B. Wang, J. Peng, Z. Gao, and B. Zhang. 2021. “Improving Boundary Constraint of Probability Integral Method in SBAS-Insar for Deformation Monitoring in Mining Areas.” Remote Sensing 13 (8): 1497.
  • Shi, X., C. Yang, L. Zhang, H. Jiang, M. Liao, L. Zhang, and X. Liu. 2019. “Mapping and Characterizing Displacements of Active Loess Slopes Along the Upstream Yellow River with Multi-Temporal InSar Datasets.” Science of the Total Environment 674:200–210. https://doi.org/10.1016/j.scitotenv.2019.04.140.
  • Shi, X., L. Zhang, T. Balz, and M. Liao. 2015. “Landslide Deformation Monitoring Using Point-Like Target Offset Tracking with Multi-Mode High-Resolution TerraSAR-X Data.” Isprs Journal of Photogrammetry & Remote Sensing 105:128–140. https://doi.org/10.1016/j.isprsjprs.2015.03.017.
  • Takaku, J., T. Tadono, K. Tsutsui, and M. Ichikawa. 2016. “VALIDATION of “AW3D” GLOBAL DSM GENERATED from ALOS PRISM.” ISPRS Ann Photogramm Remote Sens Spatial Inf Sci III-4:25–31. https://doi.org/10.5194/isprs-annals-III-4-25-2016.
  • Tang, W., X. Zhao, B. Gang, M. Chen, S. Cheng, M. Liao, and Y. Wenjun. 2023. “Quantifying Seasonal Ground Deformation in Taiyuan Basin, China, by Sentinel-1 InSar Time Series Analysis.” Canadian Journal of Fisheries and Aquatic Sciences 622:129654. https://doi.org/10.1016/j.jhydrol.2023.129654.
  • Tan, B., F. Zhang, Q. Zhang, H. Wei, and Z. Shao. 2019. “Firefighting of Subsurface Coal Fires with Comprehensive Techniques for Detection and Control: A Case Study of the Fukang Coal Fire in the Xinjiang Region of China.” Environmental Science and Pollution Research 26 (29): 29570–29584. https://doi.org/10.1007/s11356-019-06129-3.
  • Tong, X., and D. Schmidt. 2016. “Active Movement of the Cascade Landslide Complex in Washington from a Coherence-Based InSar Time Series Method.” Remote Sensing of Environment 186:405–415. https://doi.org/10.1016/j.rse.2016.09.008.
  • Wang, L., K. Deng, and M. Zheng. 2020. “Research on Ground Deformation Monitoring Method in Mining Areas Using the Probability Integral Model Fusion D-Insar, Sub-Band InSar and Offset-Tracking.” International Journal of Applied Earth Observation and Geoinformation 85:101981. https://doi.org/10.1016/j.jag.2019.101981.
  • Wang, Y., G. Feng, L. Zhiwei, X. Wenbin, H. Wang, H. Jun, S. Liu, and H. Lijia. 2022. “Estimating the Long-Term Deformation and Permanent Loss of Aquifer in the Southern Junggar Basin, China, Using InSar.” Canadian Journal of Fisheries and Aquatic Sciences 614:128604. https://doi.org/10.1016/j.jhydrol.2022.128604.
  • Wang, Y., G. Feng, L. Zhiwei, X. Wenbin, J. Zhu, H. Lijia, Z. Xiong, and X. Qiao. 2022. “Retrieving the Displacements of the Hutubi (China) Underground Gas Storage During 2003–2020 from Multi-Track InSar.” Remote Sensing of Environment 268:112768. https://doi.org/10.1016/j.rse.2021.112768.
  • Wang, C. L., C. X. Jiang, Q. Xie, and T. Feng. 2007. “Change in Microstructure of Salty Soil During Crystallization.” Journal of Southwest Jiaotong University 42 (1): 66–69.
  • Wang, Z., J. Pan, Q. Hou, Y. Bensheng, L. Meng, and Q. Niu. 2018. “Anisotropic Characteristics of Low-Rank Coal Fractures in the Fukang Mining Area, China.” Fuel 211:182–193. https://doi.org/10.1016/j.fuel.2017.09.067.
  • Yao, J., Y. Chen, X. Guan, Y. Zhao, J. Chen, and W. Mao. 2022. “Recent Climate and Hydrological Changes in a Mountain–Basin System in Xinjiang, China.” Earth Science Review 226:103957. https://doi.org/10.1016/j.earscirev.2022.103957.
  • Yao, C. H., and Q. Hui Yao. 2013a. “The Hydrogeological Feature and Geological Hazard Prevention of M Coal Mine in Xinjiang Fukang.” Applied Mechanics & Materials 405-408:562–565. https://doi.org/10.4028/www.scientific.net/AMM.405-408.562.
  • Yao, C. H., and Q. Hui Yao. 2013b. “The Hydrogeological Feature and Geological Hazard Prevention of M Coal Mine in Xinjiang Fukang.” Applied Mechanics & Materials 405: 562–565. https://doi.org/10.4028/www.scientific.net/AMM.405-408.562.
  • Yin, X., Q. Feng, X. Zheng, W. Xue, M. Zhu, F. Sun, and L. Yan. 2021. “Assessing the Impacts of Irrigated Agriculture on Hydrological Regimes in an Oasis-Desert System.” Canadian Journal of Fisheries and Aquatic Sciences 594:125976. https://doi.org/10.1016/j.jhydrol.2021.125976.
  • Yin, X., Q. Feng, X. Zheng, M. Zhu, W. Xue, Y. Guo, W. Min, and L. Yan. 2021. “Spatio-Temporal Dynamics and Eco-Hydrological Controls of Water and Salt Migration within and Among Different Land Uses in an Oasis-Desert System.” Science of the Total Environment 772:145572. https://doi.org/10.1016/j.scitotenv.2021.145572.
  • You, H. C., L. S. Ren, and Y. M. Zhang. 2003. “Structural Geometry and Activities of the Fukang-Jimsar Fualt Zone, Xinjiang.” Seismology and Geology 25 (3): 375–384.
  • Zeng, R. Q., X. M. Meng, F. Y. Zhang, S. Y. Wang, Z. J. Cui, M. S. Zhang, Y. Zhang, and G. Chen. 2016. “Characterizing Hydrological Processes on Loess Slopes Using Electrical Resistivity Tomography – a Case Study of the Heifangtai Terrace, Northwest China.” Canadian Journal of Fisheries and Aquatic Sciences 541:742–753. https://doi.org/10.1016/j.jhydrol.2016.07.033.
  • Zengyun, H., C. Zhang, Q. Hu, and H. Tian. 2014. “Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets.” Journal of Climate 27 (3): 1143–1167. https://doi.org/10.1175/jcli-d-13-00064.1.
  • Zhang, Q., G. Luo, L. Li, M. Zhang, N. Lv, and X. Wang. 2016. “Modern Oasis Evolution Analysis Based on Land-Use and Land-Cover Change: A Case Study in Sangong River Basin on the Northern Slope of Tianshan Mountains.” Acta Geographica Sinica 71 (7): 1157–1171.
  • Zhang, H.-W., X.-Y. Wang, X. Zhao, and P.-F. Liu. 2020. “In-Situ Experiment Investigations of Hydrothermal Process of Highway in Deep Seasonal Frozen Soil Regions of Inner Mongolia, China.” Journal of Central South University 27 (7): 2082–2093.
  • Zhao, C., C. Liu, Q. Zhang, L. Zhong, and C. Yang. 2018. “Deformation of Linfen-Yuncheng Basin (China) and Its Mechanisms Revealed by Π-RATE InSar Technique.” Remote Sensing of Environment 218:221–230. https://doi.org/10.1016/j.rse.2018.09.021.
  • Zhu, Z., X. Tang, G. Yuan, X. Zhang, X. Sun, and X. X. Chang. 2017. “A Dataset of Groundwater Level in Chinese Ecosystem Research Network (2005–2014).” China Scientific Data 1: 45–65. https://doi.org/10.11922/csdata.170.2016.0099.