Shuitu baochi tongbao (Apr 2023)

County Scale Ecological Environmental Monitoring and Evaluation Based on Spatial Information Technology

  • Ling He,
  • Zhe Du

DOI
https://doi.org/10.13961/j.cnki.stbctb.2023.02.016
Journal volume & issue
Vol. 43, no. 2
pp. 129 – 138

Abstract

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[Objective] An accurate acquisition method for ecological environmental monitoring data was studied to construct an evaluation index system of ecological environmental quality in order to provide a basis for precise protection of the ecological environment. [Methods] We used a variety of models and methods (such as the InVEST model, a bare soil vegetation index model, and a comprehensive index method) based on multi-source remote sensing image data. An eco-environmental quality index system was constructed that included four first-level indicators (ecosystem quality, ecosystem services, habitat pressure, and environmental quality) and 14 second-level indicators (such as vegetation cover, carbon sequestration capacity, road pressure index, and haze index) to analyze the ecological environmental quality of Fuping County, Hebei Province. [Results] ① The general and poor ecosystem quality areas were the most widely distributed, and were concentrated in the reservoir area in the east and in the middle and low mountain areas in the west. ② The areas with poor ecosystem services were the largest, and were concentrated in the central and eastern parts of the county. ③ The proportion of areas with poor habitat pressure was the highest, and the area was mainly unused land. ④ The area with good environmental quality was widely distributed over the entire region. ⑤ The eco-environmental quality in Fuping County was generally good, and the general quality area was widely distributed, accounting for 77.04% of the total area, comprised mainly of cultivated land, grassland, and unused land. [Conclusion] The ecological environmental monitoring and evaluation method based on spatial information technology and multi-source remote sensing data can quickly and effectively reflect the county eco-environmental quality.

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