基于RSEI改进模型的生态环境质量评价及驱动机制研究 ──以湖南省桃江县为例
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中国地质调查局长沙自然资源综合调查中心

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中国地质调查局项目(DD20230478);湖南省重点研发计划项目(2023SK2066)


Ecological environment quality evaluation and driving mechanism research using a modified RSEI model: A case study of Taojiang County, Hunan Province
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1. Changsha Center of Natural Resources Comprehensive Survey,China Geological Survey

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    摘要:

    [目的] 为了更好对丘陵地区生态质量进行监测和评价,构建一个更精确的中高植被地区遥感生态指数十分必要,并探索其生态质量影响因素,为桃江县兼顾发展与生态提供科学支撑。 [方法] 针对植被指数(NDVI)在植被茂密区的饱和性缺陷,本文在湿度、干度、热度因子基础上,引入核归一化植被指数(kNDVI),构建了改进型遥感生态指数(Modified Remote Sensing Ecology Index,MRSEI)。借助MRSEI量化了桃江县2000-2021年生态环境质量时序变化,并引入最优化参数的地理探测器模型对植被覆盖度、降水、气温、土地利用、海拔、人口密度等6个影响因子进行了驱动力分析。[结果] (1)与遥感生态指数相比,改进的遥感生态指数模型能够避免高植被覆盖区NDVI饱和性缺陷问题,可以更准确地监测桃江县生态环境;(2)研究区2000至2021年5期的MRSEI均值分别为0.77、0.84、0.83、0.75和0.79,生态环境质量整体表现良好,具有转好-转差-转好的变化特征;(3)从生态环境质量成因分析来看,土地利用是影响研究区生态环境质量的关键因子,交互式探测中,土地利用和海拔交互作用最强。[结论] 综合而言,桃江县生态环境质量变化主要受到自然和人为因素双重影响。研究结果可为桃江县开展有效的生态环境保护修复措施提供技术参考。

    Abstract:

    [Objective] To In order to better monitor and evaluate the ecological quality of hilly areas, it is necessary to construct a accurate remote sensing ecological index of middle and high vegetation areas, and explore the influencing factors of its ecological quality, so as to provide scientific support for the balance between development and ecology in Taojiang County. [Method] To address the saturation issue of the Normalized Difference Vegetation Index (NDVI) in densely vegetated areas, this study introduces the kernel Normalized Difference Vegetation Index (kNDVI) and integrates it with humidity, dryness, and heat factors to formulate a Modified Remote Sensing Ecology Index (MRSEI). Utilizing this index, the ecological environment quality and its temporal variation in Taojiang County from 2000 to 2021 were quantified. Additionally, a parameter optimized geographic detector model was employed to analyze the driving forces of six influencing factors, including vegetation coverage, precipitation, temperature, land use, altitude, and population density. [Result] (1) Compared with the RSEI model, the MRSEI model can effectively address the issue of NDVI saturation in areas with high vegetation cover, enabling a more precise monitoring of the ecological environment in Taojiang County; (2) The average RSEI values for the five periods from 2000 to 2021 in the study area were 0.77, 0.84, 0.83, 0.75 and 0.79, respectively, indicating a satisfactory performance in ecological environment quality with a trend of improvement-deterioration-improvement; (3) From the analysis of the factors influencing ecological environment quality, land use emerges as a key factor determinant in the study area. In the factor interactive detection analysis, the interaction between land use and elevation were strongest. [Conclusion] In summary, variation of the ecological environment quality in Taojiang County is primarily influenced by a combination of natural and anthropogenic factors. The research results can provide technical reference for carrying out effective ecological environment protection and restoration measures in Taojiang County.

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  • 收稿日期:2023-11-08
  • 最后修改日期:2024-01-09
  • 录用日期:2024-01-10
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