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“Source–sink” landscape pattern analysis of nonpoint source pollution using remote sensing techniques

  • X. Zhang
  • Q. Y. Wu
  • J. T. Cui
  • Y. Q. Liu
  • W. S. Wang
Review
  • 102 Downloads

Abstract

Research on the “source–sink” landscape pattern of nonpoint source pollution is of great significance to natural resource management, environmental protection, water quality improvement, nonpoint source pollution prevention and control, and ecological security pattern construction. Remote sensing has proven by many scholars as a practical and effective technique to study landscape patterns and nonpoint source pollution. However, there are still many obstacles to the application of remote sensing technology, such as classification errors, scale effects and the issue, whereby landscape metrics cannot describe the landscape information comprehensively. In view of the characteristics of the macroscale and multi-scale of remote sensing, the analysis of landscape patterns is the basis for the study of the relationship research between patterns and ecological processes, and it is also the key to the study of landscape dynamics and functions. This paper attempts to summarize the representative results and the challenges of remote sensing in the study of the source and sink landscape of the nonpoint source pollution landscape and provide corresponding solutions as a reference for future research.

Keywords

Land use classification Multi-satellite Watersheds Ecological process Water quality 

Notes

Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive comments and suggestions. The study is funded by the Natural Science Foundation of China (Grant No. 61473286) and the National Science & Technology Program of China (grant No. 2017YFB0504201).

Author’s contribution

XZ, YL and WW are the directors of the corresponding contents.

Compliance with ethical standard

Conflict of interest

The author declares no conflict of interest.

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© Islamic Azad University (IAU) 2018

Authors and Affiliations

  1. 1.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina
  2. 2.Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqiChina

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