Advertisement

Temporal and Spatial Changes of the Yellow River Delta Wetland Based on Multi-Source Data During 30 Years

  • Pifu Cong
  • Kexin Chen
  • Limei Qu
  • Jianbo Han
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 541)

Abstract

Estuary wetlands are important and vulnerable. In order to demonstrate the performance of the imaging data of Wide-band Imaging Spectrometer of Tiangong-2 in wetland classification and detect the changes of the Yellow River Delta wetland, we used object-oriented classification, landscape center of gravity transfer model and landscape index to depict the temporal and spatial changes of the Yellow River Delta wetland in the past 30 years from 1986 to 2016. Landsat 5 TM data in 1986 and imaging data of Wide-band Imaging Spectrometer of Tiangong-2 in 2016, as well as Landsat 8 OLI in 2016, were utilized. The imaging data of Wide-band Imaging Spectrometer of Tiangong-2 was fused with Landsat image by Gram-Schmidt spectral sharpening algorithm for analysis. It shows that: (1) After fusion with the higher resolution image, Tiangong-2 multi-spectral data is helpful for wetland study. (2) The natural wetlands decreased from 2404.24 km2 in 1986 to 1666.47 km2 in the past 30 years. Human-made wetlands increased from 42.41 km2 in 1986 to 836.58 km2 in 2016. (3) During the past 30 years, the gravity centers of natural wetlands, human-made wetlands and non-wetlands have been shifting towards the sea respectively. The shifting distance of human-made wetlands was larger. (4) The wetland landscape index indicated that the landscape pattern dominated by natural wetlands tended to be dominated by non-wetlands.

Keywords

Tiangong-2 Yellow River Delta wetland The Object-oriented classification Landscape center of gravity transfer model Landscape index 

Notes

Acknowledgements

This work is under the auspices of National Key R&D Program of China (No.2017YFC0505901). Thanks to China Manned Space Engineering for providing space science and application data products of Tiangong-2.

References

  1. 1.
    Rao, B.R.M., Dwivedi, R.S., Kushwaha, S.P.S., et al.: Monitoring the spatial extent of coastal wetlands using ERS-1 SAR data. Int. J. Remote Sens. 20(13), 2509–2517 (1999)CrossRefGoogle Scholar
  2. 2.
    Zhang, Z., Craft, C.B., Xue, Z., et al.: Regulating effects of climate, net primary productivity, and nitrogen on carbon sequestration rates in temperate wetlands. NorthEast China. Ecol. Indic. 70, 114–124 (2016)CrossRefGoogle Scholar
  3. 3.
    Wang, W.F., Luo, J.M., Wang, Y.J., et al.: Water conservation function in Zhalong saline wetland at local scale. J. Qiqihar Univ. 26(06), 71–75 (2010)Google Scholar
  4. 4.
    Zong, X.Y.: Analysis of wetland pattern and change in the Yellow River Delta. Taiyuan University of Technology (2009)Google Scholar
  5. 5.
    Li, S.Y., Zhang, W.F., Yang, S.: Intelligent fusion of multi-source high-resolution remote sensing images. J. Remote Sens. 21(3), 415–424 (2017)Google Scholar
  6. 6.
    Ozesmi, S.L., Bauer, M.E.: Satellite remote sensing of wetlands. Wetl. Ecol. Manag. 10(5), 381–402 (2002)CrossRefGoogle Scholar
  7. 7.
    Klemas, V.: Using remote sensing to select and monitor wetland restoration sites: an overview. J. Coast. Res. 29(4), 958–970 (2013)CrossRefGoogle Scholar
  8. 8.
    Liu, J., Feng, Q., Gong, J., et al.: Land-cover classification of the Yellow River Delta wetland based on multiple end-member spectral mixture analysis and a Random Forest classifier. Int. J. Remote Sens. 37(8), 1845–1867 (2016)CrossRefGoogle Scholar
  9. 9.
    Zhao, H., Zhang, H.Y., Li, N.N., et al.: RS-based research of Chinese wetland: status and trend. Geogr. Geo-Inf. Sci. 26(2), 62–66 (2010)Google Scholar
  10. 10.
    Liu, G., Zhang, L., Zhang, Q., et al.: Spatio - Temporal dynamics of wetland landscape patterns based on remote sensing in Yellow River Delta. Wetlands 34(4), 787–801 (2014)CrossRefGoogle Scholar
  11. 11.
    Han, M., Zhang, C., Lu, G., et al.: Gradient response of wetland landscape pattern to human activity intensity in the Yellow River Delta. J. Agric. Eng. 33(6), 265–274 (2017)Google Scholar
  12. 12.
    Zhao, G., Ye, S., Gao, M., et al.: Analysis of land use and shoreline changes at the Dawenliu Nature Reserve of Yellow River Delta based on remote sensing. J. Geo-Inf. Sci. 15(3), 408 (2013)Google Scholar
  13. 13.
    Zong, X.Y., Liu, G.H., Qiao, Y.L., et al.: Dynamic changes of wetland landscape pattern in the Yellow River Delta. J. Geo-Inf. Sci. 11(1), 91–97 (2009)Google Scholar
  14. 14.
    Chen, J., Wang, S.Y., Mao, Z.P.: Remote sensing monitoring of wetland changes in the Yellow River Delta from 1976 to 2008. Prog. Geogr. Sci. 30(5), 585–592 (2011)Google Scholar
  15. 15.
    Space application data promoting service platform for China Manned Space Engineering. http://www.msadc.cn. Last accessed 21 Sep 2018
  16. 16.
    Liu, K., Qin, B.Y., Mu, L.L., et al.: Monitoring and analysing of reclamation change based on multi-data remote sensing images: a case study of partial area of Liaoning province. Mar. Environ. Sci. 36(6), 911–917 (2017)Google Scholar
  17. 17.
    Cao, Y., Mo, L.J., Li, Y., et al.: Wetland landscapes ecological classification: research progress. Chin. J. Appl. Ecol. 20(12), 3084–3092 (2009)Google Scholar
  18. 18.
    Chang, X., Zhang, Q., Luo, M., et al.: Comparison of Qinzhou bay wetland landscape information extraction by three methods. In: ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences xl-4, pp. 21–28 (2014)CrossRefGoogle Scholar
  19. 19.
    Walter, V.: Object-based classification of remote sensing data for change detection. J. Shandong Jianzhu Univ. 58(3), 225–238 (2008)Google Scholar
  20. 20.
    Wang, X.L., Bao, Y.H.: Study on the methods of land use dynamic change research. Prog. Geogr. 18(1), 83–89 (1999)Google Scholar
  21. 21.
    Wu, J.G.: Landscape Ecology: Pattern, Process, Scale and Hierarchy, 2nd edn. Higher Education Press, Beijing (2007)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.National Marine Environmental Monitoring CenterDalian LiaoningChina
  2. 2.Liaoning Normal UniversityDalian LiaoningChina

Personalised recommendations