Ecological Environment Assessment of Baiyangdian Wetland based on Remote Sensing Ecological Index

Authors

  • Lin Dong
  • Mo Zhao
  • Zishuo Hu
  • Zeming Liu
  • Xiaoyu Pi
  • Mengqian Li

DOI:

https://doi.org/10.6919/ICJE.202505_11(5).0027

Keywords:

Baiyangdian Wetland; RSEI; Ecological Environment.

Abstract

In order to study the ecological environment changes of Baiyangdian wetland, a total of six Landsat remote sensing images from 2003,2007,2011,2015,2019 and 2023 were selected, and the Principal Component Analysis method(PCA) was used to integrate four ecological indicators: greenness (NDVI),humidity (WET),dryness (NDBSI) and heat (LST) to construct a remote sensing ecological index model (RSEI),and to study and analyze the changes of ecological environment quality of Baiyangdian wetland from 2003 to 2023.The study revealed that the environment of Baiyangdian wetland is primarily influenced by vegetation coverage, with overall ecological quality demonstrating a fluctuating upward trend during this period. These findings can reflect the changes of ecological environment quality of Baiyangdian wetland to a certain extent and can provide a theoretical reference and scientific basis for the management and protection of wetland ecological environment.

Downloads

Download data is not yet available.

References

[1] Ren Ruili. Ecological Functions and Restoration Strategies of Wetland Systems[J]. Science and Technology Horizon, 2021, (10): 153-154.

[2] Li Lu. Functional Value of Wetlands in Environmental Protection[J]. Forestry Survey and Design, 2021, 50(06): 45-47.

[3] Zhao Huijuan, Cui Haopeng. Research on the Current Situation and Sustainable Development of Wetland Resource Protection[J]. Forestry Survey and Design, 2023, 52(05): 54-58.

[4] Chen Boming. Application of Remote Sensing in Environmental Monitoring and Law Enforcement[J]. Mining and Metallurgical Engineering, 2020, 40(04): 165-168+173.

[5] Yang Zekang. Spatiotemporal Evolution and Driving Force Analysis of the Ecological Environment in the Yellow River Basin[D]. Ningxia University, 2022.

[6] AWA, AHAZR, ADY. Remote Sensing Assessment of Water Storage and Flood Inflows in Hawizeh Wetland[J]. Environmental Monitoring and Assessment, 2023, 195(10): 1246-1246.

[7] Li Ting, Zhang Dongxiang, Zhang Desheng, et al. Vegetation Cover Changes in Zhalong Wetland from 2001 to 2022[J]. Forest Engineering, 2024, 40(04): 79-87.

[8] HJ/T 192-2006, Technical Specification for Ecological Environment Assessment (Trial)[S].

[9] Yao Yao, Wang Shixin, Zhou Yi, et al. Application of the Ecological Environment Index in National Quality Assessment[J]. Remote Sensing Information, 2012, 27(03): 93-98.

[10] Zhu Jinfeng, Zhou Yi, Wang Shixin, et al. Ecological Function Evaluation and Zoning of Baiyangdian Wetland[J]. Acta Ecologica Sinica, 2020, 40(02): 459-472.

[11] Yang Wei, Sun Lixin, Wang Xuan, et al. Evolution of Ecosystem Services in Baiyangdian Driven by Ecological Replenishment[J]. Journal of Agro-Environment Science, 2020, 39(05): 1077-1084.

[12] Tang Caihong, Chen Dongming, Yi Yujun, et al. Impact of Ecological Replenishment on Vegetation Patterns in Baiyangdian Wetland[J]. Lake Science, 2022, 34(04): 1197-1207.

[13] Li Hongxing, Huang Jiejun, Liang Youjia, et al. Ecological Environment Assessment of Wuhan Using the Remote Sensing Ecological Index[J]. Journal of Yunnan University (Natural Sciences), 2020, 42(01): 81-90.

[14] Chen Chaoxia. Ecological Environment Assessment of the "Xiangshi Suishen" City Group Using the Remote Sensing Ecological Index[D]. Hubei University, 2024.

Downloads

Published

2025-04-22

Issue

Section

Articles

How to Cite

Dong, Lin, Mo Zhao, Zishuo Hu, Zeming Liu, Xiaoyu Pi, and Mengqian Li. 2025. “Ecological Environment Assessment of Baiyangdian Wetland Based on Remote Sensing Ecological Index”. International Core Journal of Engineering 11 (5): 227-31. https://doi.org/10.6919/ICJE.202505_11(5).0027.