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2024 Vol. 47, No. 4
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WANG Yanyan, LIU Bin, HAN Jian, REN Junru, CHENG Tenghui. 2024. Remote sensing evaluation of eco-environmental quality in Chengde City from 2013 to 2022. North China Geology, 47(4): 47-56. doi: 10.19948/j.12-1471/P.2024.04.05
Citation: WANG Yanyan, LIU Bin, HAN Jian, REN Junru, CHENG Tenghui. 2024. Remote sensing evaluation of eco-environmental quality in Chengde City from 2013 to 2022. North China Geology, 47(4): 47-56. doi: 10.19948/j.12-1471/P.2024.04.05
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Remote sensing evaluation of eco-environmental quality in Chengde City from 2013 to 2022

  • 1. 514 Brjgade Of North China Geological Exploration Bureau, Chengde Hebei 067000, China;

  • 2. Hebei Huakan Resource Environmental Survey Co., Ltd, Chengde Hebei 067000, China;

  • 3. Hebei Key Laboratory of Geological Resources Exploration and Ecological Protection, Chengde Hebei 067000, China

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  • Corresponding author: LIU Bin  
Received Date:  16 July 2024
    Abstract
  • This paper is the result of ecological environment.[Objective] Ecological environment is the foundation for the survival and development of human beings. Remote sensing technology is used to evaluate and analyze the quality and status of the ecological environment in Chengde City provides scientific basis and technical support for the protection and governance of the ecological environment in Chengde City. [Methods]This study is based on Landsat series remote sensing images, and uses ENVI software to calculate four indicators reflecting the ecological environment: greenness, wetness, dryness, and heat. In addition, the principal component analysis method is used to construct a remote sensing ecological index model to evaluate the ecological environment quality of Chengde City. [Results] The remote sensing ecological index model was constructed by using four indicators calculated from remote sensing images of Chengde City in 2013, 2016, 2019, and 2022, and further analyzed, showing that:(1)The first principal component index in the principal component analysis was used to construct the RSEI model. NDVI (representing greenness) and WET (representing wetness) had a positive effect on the ecological environment quality, while NDBSI (representing dryness) and LST(representing heat) had a negative effect on the ecological environment quality. (2) From 2013 to 2022, the average RSEI value of Chengde City increased from 0.625 to 0.640, and the ecological environment quality showed an overall upward trend, and the ecological environment was basically improved. (3) From 2013 to 2022, the area of ecological environment deterioration in Chengde city is 2 405.562 3 km2, accounting for about 6.07%of the total area; The unchanged area is 28 769.067 km2, accounting for 75.54%of the total area.The improved area is 8 483.1885 km2, accounting for 21.39% of the total area. [Conclusions] From 2013 to 2022, the overall ecological environment quality of Chengde City has shown a significant initial improvement trend. This study can provide a reference basis for regional environmental protection work in Chengde City.
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