Monitoring and analysis of surface deformation of Tidal Flat in Maowei Sea on the basis of Sentinel active and passive remote sensing

  • role: First author第一作者
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

    Beibu Gulf Ocean Development Research Center, Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, Beibu Gulf University, Qinzhou 535000

  • Email:1589428897@qq.com
  • Introduction:明小勇,研究方向为遥感信息应用。E-mail: 1589428897@qq.com
MING Xiaoyong12,  
  • role: Corresponding author通信作者
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

    Beibu Gulf Ocean Development Research Center, Guangxi Key Laboratory of Marine Environmental Change and Disaster in Beibu Gulf, Beibu Gulf University, Qinzhou 535000

  • Email:tianyichao1314@yeah.net
  • Introduction:田义超,研究方向为资源环境遥感与GIS及海岸带生态环境监测。E-mail: tianyichao1314@yeah.net
TIAN Yichao12*,  
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

ZHANG Qiang1,  
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

TAO Jin1,  
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

ZHANG Yali1,  
  • Affiliation:

    Collage of Resources and Environment, Key Laboratory of Marine Geographic Information Resources Development and Utilization, Beibu Gulf University, Qinzhou 535000, China

LIN Junliang1

résumé

Tidal flats possess significant economic value, environmental importance, and ecological functions, yet their fragile environments are highly susceptible to degradation due to both natural factors and human activities. The changes in surface elevation of tidal flats have a direct impact on the stability of the ecological environment, making the monitoring of tidal flat surface deformation essential for understanding how these ecosystems respond to environmental changes and for predicting the evolution of tidal flat patterns, which in turn provides crucial data for the protection and restoration of the ecological environment. However, the measurement methods currently employed for tidal flat surface deformation are predominantly limited to traditional positioning techniques, which are constrained by the complex environmental factors inherent to tidal flats, thus impeding large-scale estimations. In this context, the emerging InSAR technology offers a promising solution to overcome these limitations. Therefore, this study aims to monitor the surface deformation of the Maowei Sea tidal flats by employing time-series InSAR technology, applying this advanced technique to coastal tidal flat areas. Specifically, we utilized the SBAS-InSAR technique in conjunction with PS feature points, drawing on 176 scenes of Sentinel-1A SAR image data from the study area to extract surface deformation information spanning from 2015 to 2022. By analyzing data on vegetation distribution, precipitation, sea level rise, and geological background within the study area, we conducted a comprehensive examination of the overall characteristics, spatiotemporal evolution trends, and influencing factors of surface deformation in the region.In conclusion, by employing the SBAS-InSAR technique in combination with PS feature points and Sentinel-1A data, this study successfully achieved refined monitoring of surface deformation within the study area, revealing long-term spatiotemporal changes in displacement rates and cumulative deformation over a seven-year period, thereby providing robust inversion results that offer valuable scientific insights for the protection and restoration of the Maowei Sea ecological environment.The results show that(1) The surface deformation of the tidal flat area demonstrates significant spatial heterogeneity, with distinct subsidence and uplift trends across different regions. Over the study period, the surface deformation rate within the study area ranged from -43.07 to 36.22 mm per annum, with deformation being unevenly distributed and generally exhibiting a slight uplift trend, while specific areas such as Jianshan and Mangrove Bay displayed a subsidence trend, in contrast to the uplift trend observed in the Kangxiling region. (2) Through time-series analysis of multiple feature points, it was revealed that the deformation in regions with severe subsidence is characterized by significant temporal heterogeneity, with some areas exhibiting periodic alternating uplift and subsidence, and an overall uneven subsidence trend over time, with a maximum subsidence of -‍184.9 mm observed over four years. (3) In terms of the factors influencing deformation, the study identifies biological activities, human activities, hydrological processes, sea level rise, and precipitation-induced geomorphological changes as the primary drivers of surface deformation in tidal flats, with these factors collectively contributing to the diversity and complexity of deformation patterns in the region.

mots-clés

remote sensing;Land subsidence;InSAR;Sentinel;time series analysis;Tidal flat;Maowei Sea Mangrove

References

  1. 1.
    Augustinus P G E F. 1995. Geomorphology and sedimentology of mangroves. Developments in Sedimentology, 53: 333-357.
  2. 2.
    Berardino P, Fornaro G, Lanari R and Sansosti E. 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11): 2375-2383
  3. 3.
    Cahoon D R, Hensel P, Rybczyk J, McKee K L, Proffitt C E and Perez B C. 2003. Mass tree mortality leads to mangrove peat collapse at Bay Islands, Honduras after Hurricane Mitch. Journal of Ecology, 91(6): 1093-1105
  4. 4.
    Chen L Z. 2022. Application of surface elevation table for carbon budget assessments in coastal blue carbon ecosystems. Oceanologia et Limnologia Sinica, 53(2): 261-268
  5. 5.
    Cahoon D R, Reed D J and Day Jr J W. 1995. Estimating shallow subsidence in microtidal salt marshes of the southeastern United States: Kaye and Barghoorn revisited. Marine Geology, 128(1/2): 1-9
  6. 6.
    Cao C, Cai F, Qi H, Zheng Y and Lu H. (2021). Characteristics of underwater topography, geomorphology and sediment source in Qinzhou Bay.Water,13(10), 1392.
  7. 7.
    Chen Lyu Z. 2022. Application of surface elevation table for carbon budget assessments in coastal blue carbon ecosystems. Oceanologia et Limnologia Sinica, 53(2): 261-268.
  8. 8.
    Danielsen F, Sørensen M K, Olwig M F, Selvam V, Parish F, Burgess N D, Hiraishi T, Karunagaran V M, Rasmussen M S, Hansen L B, Quarto A and Suryadiputra N. 2005. The Asian tsunami: a protective role for coastal vegetation. Science, 310(5748): 643
  9. 9.
    Du Y, Feng G, Liu L, Fu H, Peng X, Wen D. Understanding Land Subsidence Along the Coastal Areas of Guangdong, China, by Analyzing Multi-Track MTInSAR Data. Remote Sensing. 2020; 12(2):299
  10. 10.
    Duke N C, Meynecke J O, Dittmann S, Ellison A M, Anger K, Berger U, Cannicci S, Diele K, Ewel K C, Field C D, Koedam N, Lee S Y, Marchand C, Nordhaus I and Dahdouh-Guebas F. 2007. A world without Mangroves? Science, 317(5834): 41-42
  11. 11.
    Dyer K R. 1998. The typology of intertidal mudflats. Geological Society, London, Special Publications, 139(1): 11-24
  12. 12.
    Fan H Q and Wang W Q. 2017. Some thematic issues for mangrove conservation in China. Journal of Xiamen University (Natural Science), 56(3): 323-330
  13. 13.
    Ferretti A, Prati C and Rocca F. 2001. Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1): 8-20
  14. 14.
    Furukawa K, Wolanski E and Mueller H. 1997. Currents and sediment transport in mangrove forests. Estuarine, Coastal and Shelf Science, 44(3): 301-310
  15. 15.
    Gabet E J and Dunne T. 2003. Sediment detachment by rain power. Water Resources Research, 39(1): 1002
  16. 16.
    Guo Y P, Chen Y J, Liao B W, Huang B, Jiang Z M and Wu F. 2021. Measurement and study on variations of surface elevation and accretion thickness of areas of mangrove forests in Dongzhaigang Bay and Qi’ao island. Wetland Science, 19(3): 353-359
  17. 17.
    Horstman E M, Dohmen-Janssen C M, Bouma T J and Hulscher S J M H. 2015. Tidal-scale flow routing and sedimentation in mangrove forests: combining field data and numerical modelling. Geomorphology, 228: 244-262
  18. 18.
    Hu S J, Niu Z G, Chen Y F, Li L F and Zhang H Y. 2017. Global wetlands: potential distribution, wetland loss, and status. Science of the Total Environment, 586: 319-327
  19. 19.
    Huang D D and Chen S. 2020. Review of the effects of low-tide rainfall-runoff on the particle transport in intertidal zone. Marine Environmental Science, 39(6): 968-976
  20. 20.
    Jiang Hui, Yu Xinghe. The depositional pattern and dynamic principle of chasmic stage in the northwestern margin of Beibu-gulf Basin[J]. China Petroleum Exploration, 2016, 21(4): 93-98
  21. 21.
    Krauss K W, Allen J A and Cahoon D R. 2003. Differential rates of vertical accretion and elevation change among aerial root types in Micronesian mangrove forests. Estuarine, Coastal and Shelf Science, 56(2): 251-259
  22. 22.
    Li G R, Zhao C Y, Wang B H, Liu X J and Chen H Y. 2022. Land subsidence monitoring and dynamic prediction of reclaimed islands with multi-temporal InSAR techniques in Xiamen and Zhangzhou cities, China. Remote Sensing, 14(12): 2930.
  23. 23.
    Li S S, Meng X W, Ge Z M and Zhang L Q. 2014. Vulnerability assessment on the mangrove ecosystems in Qinzhou bay under sea level rise. Acta Ecologica Sinica, 34(10): 2702-2711
  24. 24.
    Li Y, Yuan L, Zhao Z Y, Zhang J L, Wang X Y and Zhang L Q. 2021. Inversion of tidal flat topography based on unmanned aerial vehicle low-altitude remote sensing and field surveys. Remote Sensing for Natural Resources, 33(3): 80-88
  25. 25.
    Liang Y, Zhang B, Pan X Z and Shi D M. 2008. Current status and comprehensive control strategies of soil erosion for hilly region in the Southern China. Science of Soil and Water Conservation, 6(1): 22-27
  26. 26.
    Liu Q, Yue G S, Ding X B, Yang K, Feng G C and Xiong Z Q. 2019. Temporal and spatial characteristics analysis of deformation along Foshan subway using time series InSAR. Geomatics and Information Science of Wuhan University, 44(7): 1099-1106
  27. 27.
    Lin Q L. 2019. The Influence of Aerial Root/Belowground Root Structure on the Vertical Accretion and Elevation Change of Mangroves. Xiamen: Xiamen University (林秋莲. 2019. 红树植物地上/地下根系对滩面高程的影响. 厦门: 厦门大学)
  28. 28.
    Liu X J, Zhao C Y, Zhang Q, Yang C S and Zhang J. 2019. Characterizing and monitoring ground settlement of marine reclamation land of Xiamen new airport, China with sentinel-1 SAR datasets. Remote Sensing, 11(5): 585
  29. 29.
    Liu Y Q, Ling B W and Xu P F. 2009. On the wetland ecosystem protection of Maowei sea mangrove reserve in Qinzhou, Guangxi. Journal of Hebei Agricultural Sciences, 13(4): 97-99, 102
  30. 30.
    Lu B and Jiang X Z. 2013. Reclamation impacts on the evolution of the tidal flat at Chongming Eastern Beach in Changjiang estuary. Journal of Remote Sensing (in Chinese), 17(2): 335-349
  31. 31.
    Lu S L. 2021. Spatiotemporal Variation and Spatial Autocorrelation of Nutrient and Environmental Factors in Maowei Sea at Monthly Scale. Nanning: Nanning Normal University
  32. 32.
    Meng L L, Ling Z Y, Jiang W G, Zhong S Q, Chen Y L and Sun M. 2020. Mangrove information extraction based on the sentinel remote sensing data: a case study of Maoweihai bay of Guangxi. Geography and GEO-Information Science, 36(4): 41-47
  33. 33.
    Murray, N.J., Ma, Z. and Fuller, R.A. (2015), Status of Yellow Sea tidal flats. Austral Ecology, 40: 472-481 [DOI:https://doi.org/10.1111/aec.12211]Na J. 2021. Application of SBAS technology to the surface deformation monitoring in Northern Diqing Tibetan Autonomous Prefecture. Engineering of Surveying and Mapping, 30(4): 53-58
  34. 34.
    Pan C, Jiang L M, Sun Q S and Jiang Y N. 2020. Monitoring and analyzing Chengdu ground subsidence based on InSAR technology by using sentinel-1 radar image. Journal of Geodesy and Geodynamics, 40(2): 198-203
  35. 35.
    Ren C, Shi X J, Zhou L, Huang Y L, Liang Y J and Zhu Z L. 2020. Land subsidence detection and analysis along subway based on sentinel-1A time series interferometry synthetic aperture radar. Science Technology and Engineering, 20(2): 803-808
  36. 36.
    Sheng N, Xin K and Liao B W. 2021. Literature analysis concerning studies of ecological functions and values of mangrove wetland. Wetland Science and Management, 17(1): 47-50
  37. 37.
    Shi X G, Zhang L, Xu Q, Zhao K Y, Dong J, Jiang H J and Liao M S. 2019. Monitoring slope displacements of loess terrace using time series InSAR Analysis technique. Geomatics and Information Science of Wuhan University, 44(7): 1027-1034
  38. 38.
    Sun Y G, Zhao D Z, Guo W Y, Gao Y, Su X and Wei B Q. 2013. A review on the application of remote sensing in mangrove ecosystem monitoring. Acta Ecologica Sinica, 33(15): 4523-4538
  39. 39.
    Tan X L and Zhang Q M. 1997. Mangrove beaches’ accretion rate and effects of relative sea-level rise on mangroves in China. Marine Science Bulletin, 16(4): 29-35
  40. 40.
    Tosi L, Da Lio C, Strozzi T and Teatini P. 2016. Combining L- and X-band SAR interferometry to assess ground displacements in heterogeneous coastal environments: the Po River Delta and Venice Lagoon, Italy. Remote Sensing, 8(4): 308
  41. 41.
    Van der Wegen M, Jaffe B, Foxgrover A and Roelvink D. 2017. Mudflat morphodynamics and the impact of sea level rise in South San Francisco Bay. Estuaries and Coasts, 40(1): 37-49
  42. 42.
    Wang G D, Lyu X G, Liu X T, He X Y and Jiang M. 2019. Advances in researches on effects of vegetation on surface elevation change in coastal wetland ecosystems. Wetland Science, 17(3): 261-266
  43. 43.
    Wang K. 2001. Effects of plant roots on soil anti-erosion. Ecology and Environment Sciences, 10(3): 250-252
  44. 44.
    Wang Z W, Yue G Y and Wu X D. 2021. Ground surface deformation characteristics of different alpine-grassland types in the permafrost zones of Qinghai-Tibet Plateau. Acta Ecologica Sinica, 41(6): 2398-2407
  45. 45.
    Wu Y Q and Liu Z L. 2019. Research progress on methods of automatic coastline extraction based on remote sensing images. National Remote Sensing Bulletin, 23(4): 582-602
  46. 46.
    Xia C S, Chen Z H, Wei C X, Xue Y H, Zhang D, Song W J and Zhang L. 2020. Study on hydrodynamic influence induced by comprehensive regulation of the Maowei Sea in Qinzhou, Guangxi Province. Coastal Engineering, 39(3): 157-168
  47. 47.
    Xu J N and Lei T. 2016. Surface elevation table and its application to wetland monitoring and research. World Forestry Research, 29(2): 23-27
  48. 48.
    Xu Q, Pu C H, Zhao K Y, He P, Zhang H Y and Liu J L. 2021. Time series InSAR monitoring and analysis of spatiotemporal evolution characteristics of land subsidence in Yan’an new district. Geomatics and Information Science of Wuhan University, 46(7): 957-969
  49. 49.
    Xue Z H and Qian S Y. 2022. Fusion of Landsat 8 and Sentinel-2 data for mangrove phenology information extraction and classification. National Remote Sensing Bulletin, 26(6): 1121-1142
  50. 50.
    Yan K, Pang G T and Li W. 2022. Characteristics and sources of organic matter in surface sediments of the intertidal zone in Maowei sea, Guangxi. Marine Environmental Science, 41(2): 303-308
  51. 51.
    Yang S C, Lu W X, Zou Z and Li S. 2017. Mangrove wetlands: distribution, species composition and protection in China. Subtropical Plant Science, 46(4): 301-310
  52. 52.
    Yang W, He Y, Zhang L F, Wang W H, Chen Y D and Chen Y. 2022. InSAR monitoring of 3D surface deformation in Jinchuan mining area, Gansu Province. Remote Sensing for Natural Resources, 34(1): 177-188
  53. 53.
    Yu Q B, Wang Q, Yan X X, Yang T L, Song S Y, Yao M, Zhou K and Huang X L. 2020. Ground deformation of the Chongming east shoal reclamation area in shanghai based on SBAS-InSAR and laboratory tests. Remote Sensing, 12(6): 1016
  54. 54.
    Zhang L, Ding X L, Lu Z, Jung H S, Hu J and Feng G C. 2014. A novel multitemporal InSAR model for joint estimation of deformation rates and orbital errors. IEEE Transactions on Geoscience and Remote Sensing, 52(6): 3529-3540
  55. 55.
    Zhang R S. 1987. Progress of studies on sedimentary dynamics of tidal mud flat. Advances in Marine Science, (2): 71-79
  56. 56.
    Zhang Z J, Wang C, Wang M M, Wang Z W and Zhang H. 2018. Surface deformation monitoring in Zhengzhou city from 2014 to 2016 using time-series InSAR. Remote Sensing, 10(11): 1731
  57. 57.
    Zhi C, Wu W T and Su H. 2022. Mapping the intertidal wetlands of Fujian Province based on tidal dynamics and vegetational phonology. National Remote Sensing Bulletin, 26(2): 373-385

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