Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach

  • Liu P
  • Jia S
  • Han R
  • et al.
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Abstract

In this work, we present a processing chain for landscape pattern and ecological security status assessment and prediction based on cellular automata Markov (CA-Markov) and pressure status response pattern (PSRP) models using remotely sensed data (RSD) captured in 1986, 1996, 2006, 2016, and RSD simulated in 2026 over Zhengzhou city, Henan province, China. Three major findings can be withdrawn through the experiments. First, there is a significant changing of landscape type area, especially for building land. The area of building land is up to more than 5%, from 1986 to 2016. Secondly, the heterogeneity of landscape is increasing, and the diversity of landscape is becoming more and more diversifying and complex. Third, the changing trend of ecological security of Zhengzhou city shaped as decreasing and increasing gradually during the last 40 years. While the ecological security status, nowadays, appeared to a good trend by contrast of the previous stages. The predicted results with CA-Markov model show that the level of ecological security is still in moderate and has a trend of moving toward to the center in 2026.

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APA

Liu, P., Jia, S., Han, R., & Zhang, H. (2018). Landscape Pattern and Ecological Security Assessment and Prediction Using Remote Sensing Approach. Journal of Sensors, 2018, 1–14. https://doi.org/10.1155/2018/1058513

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