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文章摘要
基于遥感的区域人居环境指数构建及其应用
Construction and Application of Regional Habitat Environment Index Based on Remote Sensing
  
DOI:
中文关键词: 区域人居环境指数(RHEI)  遥感  主成分分析  区域治理  福建省
英文关键词: Regional habitat environment index(RHEI)  Remote sensing  Principal component analysis  Regional governance  Fujian Province
基金项目:国家自然科学基金资助项目(42071300);国家社会科学基金资助项目(20BSH113);福建省自然科学基金资助项目(2016J01188);福建省海岛资源生态监测与保护利用重点实验室开放课题基金资助项目(2023ZD03);福建省资源环境监测与可持续经营利用重点实验室开放基金资助项目(ZD202102)
作者单位
陈秋霞 福建农林大学公共管理学院 
杨远垚 福州大学环境与安全工程学院福州大学地理与生态环境研究院 
许章华 福州大学环境与安全工程学院福州大学地理与生态环境研究院 
黄森慰 福建农林大学公共管理学院 
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中文摘要:
      基于生态宜居和以人为本双重理念,选取区域绿度、区域热度、区域蓝度、区域亮度、区域透明度和区域起伏度等6个指标,利用主成分分析法构建基于遥感的区域人居环境指数(RHEI)。以福建省为例,分季度测算其RHEI,揭示区域人居环境的时空差异。结果表明:福建省RHEI随着季节变化逐渐降低,呈现东南低西北高、沿海岸线向内陆上升的空间分布格局。通过比较各指标的回归模型系数,发现区域蓝度对区域人居环境的影响最大,区域透明度的影响最小。由年度均值回归模型预测,未来每增加0.166单位的区域蓝度或减少0.278单位的区域热度,能提升0.1单位的人居环境质量。
英文摘要:
      Based on the dual concepts of ecological livability and people-oriented, this paper selected six indexes including regional greenness, regional heat, regional blueness, regional brightness, regional transparency and regional undulation to construct regional habitat environment index (RHEI) based on remote sensing by principal component analysis. Taking Fujian Province as an example, RHEI was calculated quarterly to reveal the spatial and temporal differences of regional habitat environment. The results showed that the RHEI in Fujian Province gradually decreased with seasonal changes, showing a spatial distribution pattern of low in the southeast and high in the northwest, and rising inland along the coastline. By comparing the regression model coefficients of each index, it was found that regional blueness had the greatest influence on regional habitat, while regional transparency had the least influence. Based on the annual mean regression model, every 0.166 units increase in regional blueness or 0.278 units decrease in regional heat in the future could improve the quality of habitat environment by 0.1 units.
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