[1]徐延芳.基于GEE的仙游县生态环境质量时空异质性分析[J].江苏林业科技,2024,51(02):21-27.[doi:10.3969/j.issn.1001-7380.2024.02.004]
 Xu Yanfang.Analysis of spatio-temporal heterogeneity of ecological environment quality in Xianyou County based on GEE[J].Journal of Jiangsu Forestry Science &Technology,2024,51(02):21-27.[doi:10.3969/j.issn.1001-7380.2024.02.004]
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基于GEE的仙游县生态环境质量时空异质性分析()
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《江苏林业科技》[ISSN:1001-7380/CN:32-1236/S]

卷:
第51卷
期数:
2024年02期
页码:
21-27
栏目:
试验研究
出版日期:
2024-04-30

文章信息/Info

Title:
Analysis of spatio-temporal heterogeneity of ecological environment quality in Xianyou County based on GEE
文章编号:
1001-7380(2024)02-0021-07
作者:
徐延芳
仙游县环境监察大队,福建 莆田 351200
Author(s):
Xu Yanfang
Environmental Supervision Group of Xianyou County, Putian City,Putian 351200,China
关键词:
RSEI生态环境时空分布空间自相关仙游县
Keywords:
RSEIEcological environmentSpatio-temporal distributionSpatial autocorrelationXianyou County
分类号:
F301;F327;P901;Q948.15+6
DOI:
10.3969/j.issn.1001-7380.2024.02.004
文献标志码:
A
摘要:
基于Google Earth Engine平台,构建遥感生态指数(RSEI)评价仙游县2000—2020年的生态环境状况,先将仙游县2000年,2010年和2020年的RSEI分成差、较差、中等、较好和好等5个等级进行分级检测,并将仙游县20 a的RSEI分为2000—2010年和2010—2020年2个研究阶段进行差值检测,以探究仙游县这20 a生态环境质量的时空分布特征,其次借助空间自相关分析工具揭示了仙游县RSEI的空间分布模式和聚类格局,最后结合土地利用数据分析土地利用变化对生态环境质量的影响。检测结果表明,仙游县2000年,2010年和2020年的RSEI总体上以好和较好等级为主,2个等级的占比和分别为76.09%,73.70%,89.94%,主要分布在仙游县的北部区域,而差和较差等级分布在中部和南部区域。在2个研究时期,改善的面积均大于退化的面积,说明仙游县的生态环境质量在逐渐上升;RSEI的空间分布以高—高聚集和低—低聚集为主,高—高聚集主要分布在仙游县的西北方向,低—低聚集主要分布在木兰溪流域附近。2000—2010年,由建设用地转向其他地类的面积占比最多,为27.21%,由林地转向其他地类的面积占比最少,为3.41%; 2010—2020年,由水域转向其他地类的面积占比最多,为69.64%,由林地转向其他地类的面积占比最少,为7.85%。耕地和林地在转换过程中,生态环境质量均得到了较大的改善,而耕地转为建设用地类型的退化占比分别为5.53%和6.78%,是生态等级退化最明显的类型。
Abstract:
Based on the Google Earth Engine platform, a remote sensing ecological index (RSEI) was constructed to evaluate the ecological environment status of Xianyou County in Fujian Province from 2000 to 2020. And the RSEI in 2000, 2010, and 2020 were first classified into five levels: poor, fair, moderate, good, and excellent. The RSEI for 20 years was also divided into two research stages: 2000—2010 and 2010—2020 for difference detection, to explore the spatio-temporal distribution characteristics of ecological environment quality. Then the spatial distribution pattern and clustering pattern of RSEI were revealed using spatial autocorrelation analysis tools. Finally, land use data was combined to analyze the impact of land use changes on ecological environment quality.The results showed that the overall RSEI of Xianyou County in 2000, 2010, and 2020 were mainly at good and excellent grades, accounting for 76.09%, 73.70%, and 89.94%, respectively. They were mainly distributed in the northern region, while poor and fair grades were distributed in the central and southern regions. In both research periods, the improved area was greater than the degraded area, indicating the ecological environment quality gradually improving. The spatial distribution of RSEI was mainly characterized by high-high clustering and low-low clustering. High-high clustering was mainly distributed in the northwest direction, while low-low clustering was mainly distributed near the Mulan River basin.From 2000 to 2010, the proportion of land converted from construction land to other land types was the highest at 27.21%, while the proportion of land converted from forest land to other land types was the lowest at 3.41%; From 2010 to 2020, the area transformation from water bodies to other land types accounted for the highest proportion at 69.64%, while the area from forest land to other land types accounted for the lowest proportion at 7.85%. During the conversion process, the ecological environment quality of cultivated land and forest land has been greatly improved, and the proportion of degradation from cultivated land to construction land was 5.53% and 6.78%, respectively, as the most obvious type of ecological grade degradation.

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备注/Memo

备注/Memo:
收稿日期:2024-01-24;修回日期:2024-02-21
作者简介:徐延芳(1975- ),女,莆田仙游人,助理工程师。研究方向:生态环境质量影响评价。
更新日期/Last Update: 2024-07-02