湖北农业科学 ›› 2026, Vol. 65 ›› Issue (8): 187-192.doi: 10.14088/j.cnki.issn0439-8114.2026.08.027

• 信息工程 • 上一篇    下一篇

基于多时相遥感生态指数的南宁市良庆区生态环境质量评价

余鹏程1, 徐洁1, 骆元家1, 谢光雄1, 任慈2, 张雨桐1, 蒋金丽1, 邝浩1   

  1. 1.柳州工学院土木建筑工程学院,广西 柳州 545616;
    2.广西大学土木建筑工程学院,南宁 530004
  • 收稿日期:2026-05-02 发布日期:2026-09-02
  • 通讯作者: 任 慈(1997-),女,辽宁锦州人,在读硕士研究生,研究方向为结构工程,(电话)17741839178(电子信箱)1335598767@qq.com。
  • 作者简介:余鹏程(1997-),男,河南信阳人,硕士,主要从事农业气象生态遥感研究,(电话)13352416955(电子信箱)924011360@qq.com;共同第一作者,徐 洁(2007-),女,河南南阳人,在读本科生,专业方向为生态遥感,(电话)15036231253(电子信箱)2178406925@qq.com
  • 基金资助:
    广西壮族自治区柳州工学院大学生创新创业训练计划资助项目(S202613639071)

Assessment of eco-environmental quality in Liangqing District, Nanning City based on multi-temporal remote sensing ecological index

YU Peng-cheng1, XU Jie1, LUO Yuan-jia1, XIE Guang-xiong1, REN Ci2, ZHANG Yu-tong1, JIANG Jin-li1, KUANG Hao1   

  1. 1. School of Civil and Architectural Engineering, Liuzhou Institute of Technology, Liuzhou 545616, Guangxi, China;
    2. School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
  • Received:2026-05-02 Online:2026-09-02

摘要: 为了进一步提升南宁市良庆区生态文明建设水平,精准评估快速城市化背景下该区域生态环境质量的时空演变特征,以2015年、2020年和2026年的Landsat遥感影像为数据源,基于遥感生态指数(RSEI)模型,整合绿度(NDVI)、湿度(WET)、干度(NDBSI)和热度(LST)4个生态指标,采用主成分分析法分配权重,对该区近10年的生态环境质量进行综合评价。结果表明,在时间维度上,良庆区RSEI均值从2015年的0.58上升至2020年的0.65,后下降至2026年的0.50,呈先上升后下降的趋势,生态环境质量变化速率为-0.007/年。2026年良庆区北部生态环境质量较差的区域受城市建设影响持续向南扩张,而中部、南部良好及以上区域相对集中,且较差区域面积缩减,局部生态有所改善。2015—2026年良庆区生态环境质量明显变好的区域主要集中在中部,并在北部及南部呈分散分布;而明显变差的区域则主要分布在北部城市群以南的区域及南部部分区域。

关键词: 多时相, 遥感生态指数, 生态环境质量, Landsat遥感影像, 南宁市良庆区

Abstract: In order to further improve the ecological civilization construction level of Liangqing District, Nanning City, and accurately assess the spatiotemporal evolution characteristics of eco-environmental quality in the area under the background of rapid urbanization, this study used Landsat remote sensing images from 2015, 2020, and 2026 as data sources, integrated four ecological indicators, i.e., greenness (NDVI), wetness (WET), dryness (NDBSI), and heat (LST), based on the Remote Sensing Ecological Index (RSEI) model, allocated weights using principal component analysis, and conducted a comprehensive evaluation of the eco-environmental quality of the area over the past 10 years. The results showed that, in the temporal dimension, the mean RSEI of Liangqing District increased from 0.58 in 2015 to 0.65 in 2020, then decreased to 0.50 in 2026, showing a trend of first increasing and then decreasing, and the change rate of eco-environmental quality was -0.007 per year. In 2026, areas with poor eco-environmental quality in the northern part of Liangqing District continued to expand southward under the influence of urban construction, while areas with good or better quality in the central and southern parts were relatively concentrated, the area of poor-quality regions decreased, and local ecology improved to some extent. From 2015 to 2026, the areas where eco-environmental quality significantly improved were mainly concentrated in the central part, with scattered distribution in the northern and southern parts, while the areas where it significantly deteriorated were mainly distributed in the region south of the northern urban agglomeration and some parts of the south.

Key words: multi-temporal, remote sensing ecological index, eco-environmental quality, Landsat remote sensing images, Liangqing District, Nanning City

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