湖北农业科学 ›› 2025, Vol. 64 ›› Issue (12): 89-98.doi: 10.14088/j.cnki.issn0439-8114.2025.12.016

• 资源·环境 • 上一篇    下一篇

基于遥感生态指数的绥江县土地生态质量动态评价

潘永平, 高成杰, 晁江琴, 蔺吉庆   

  1. 昭通学院地理科学与旅游学院,云南 昭通 657000
  • 收稿日期:2025-06-18 发布日期:2025-12-30
  • 通讯作者: 蔺吉庆(1988-),男,吉林榆树人,讲师,博士,主要从事区域地质调查及旅游地质等相关教学与研究工作,(电子信箱)510822237@qq.com。
  • 作者简介:潘永平(1988-),男,云南呈贡人,讲师,硕士,主要从事资源环境与人口经济、土地生态系统管理与评价等研究,(电子信箱)shijilingpaozhe@163.com。
  • 基金资助:
    云南省教育厅青年人才基础研究项目(2024J1055); 云南省科技厅科技计划项目—云南省地方本科高校(部分)基础研究联合专项(202101BA070001-145)

Dynamic evaluation of land ecological quality in Suijiang County based on remote sensing ecological index

PAN Yong-ping, GAO Cheng-jie, CHAO Jiang-qin, LIN Ji-qing   

  1. Schoolof Geographical Science and Tourism, Zhaotong University, Zhaotong 657000, Yunnan, China
  • Received:2025-06-18 Online:2025-12-30

摘要: 基于2000年、2010年、2020年3期遥感影像数据,通过Landsat系列卫星影像,提取绿度指数(NDVI)、湿度指数(WET)、干度指数(NDBSI)和热度指数(LST)4项核心指标,利用主成分分析构建遥感生态指数(RSEI),对云南省绥江县土地生态质量进行综合评价,揭示其时空演变特征及驱动机制。结果表明,2000—2020年,绥江县RSEI平均值从0.61降至0.47,生态质量整体呈退化趋势;2010年后绥江县植被恢复成效显著,绿度指数不断提升;建设用地扩张与气候干热化致使干度指数大幅升高、湿度指数持续下降;绥江县生态退化区域集中于金沙江沿岸及建设用地扩张区,高海拔区域因植被保护较好,仍维持较高生态质量。

关键词: 遥感生态指数, 土地生态质量, 绿度指数, 湿度指数, 干度指数, 热度指数, 绥江县

Abstract: Based on the remote sensing image data of 2000, 2010, and 2020, the four core indicators of green degree index (NDVI), humidity index (WET), dryness index (NDBSI), and heat index (LST) were extracted through Landsat series satellite images, and the remote sensing ecological index (RSEI) was constructed using the principal component analysis to comprehensively evaluate the land ecological quality of Suijiang County, Yunnan Province, and reveal its spatial and temporal evolution characteristics and driving mechanisms. The results showed that,from 2000 to 2020, the average RSEI of Suijiang County decreased from 0.61 to 0.47, and the ecological quality showed a trend of overall degradation. After 2010, the vegetation restoration effect of Suijiang County was remarkable, and the green degree index continued to increase. The expansion of construction land and the dry and hot climate led to a significant increase in the dryness index and a continuous decline in the humidity index. The ecological degradation of Suijiang County was concentrated in the Jinsha River coastal areas and the areas with the expansion of construction land, while the high-altitude areas with good vegetation protection still maintained high ecological quality.

Key words: remote sensing ecological index, land ecological quality, green degree index, humidity index, dryness index, heat index, Suijiang County

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