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Integrated evaluation on multi-scale land surface temperature grading and bio-temperature suitability-a case study in Tianjin China

机译:多尺度陆地表面温度分级和生物温度适宜性综合评价 - 以天津市为例

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摘要

The suitable thermal environment is a prerequisite for biological survival. In order to evaluate the change of land surface temperature (LST) and its effect on organisms, in this study, the Land satellite (Landsat) series data was used to invert the LST from 1988 to 2018 in Tianjin. The main surface features were extracted from the remotely sensed images using normalized difference vegetation index (NDVI), modified normalized difference water index (MNDWI) and normalized difference impervious surface index (NDISI). A multi-scale temperature grading method based on biological heat reaction was proposed to classify the LST. In terms of the suitability of the organism to temperature, the land surface temperature suitability (LSTS) model was established based on the niche suitability analysis method, and the suitability of organisms to temperature was evaluated based on the model. In the aspect of land area change, both the land surface temperature area (LSTA) model and the average relative contribution (ARC) were proposed to comprehensively evaluate the impact of the area change of surface features on LST. The results indicated that the temperature suitability of most organisms had decreased. The change of LST was related to the comprehensive change of surface features. In conclusion, the rise of LST had adverse effect on most organisms in Tianjin. Limiting the occupation of water area and cultivated land may inhibit the continuous rise in LST. Besides, the evaluation method novelty proposed in this study could provide new ideas to study the development trend of spatial objects in their environment thus would be applied widely.
机译:合适的热环境是生物生存的先决条件。为了评估土地表面温度(LST)的变化及其对生物体的影响,在本研究中,土地卫星(Landsat)系列数据用于从1988年到2018年在天津倒置LST。使用归一化差异植被指数(NDVI),改性归一化差异水指数(MNDWI)和归一化差异不透水表面指数(NDISI)从远程感测的图像中提取主表面特征。提出了一种基于生物热反应的多尺度温度分级方法,分类LST。就生物体的适用性而言,基于利基适用性分析方法建立了陆地温度适用性(LSTS)模型,基于该模型评估了生物体对温度的适用性。在土地面积变化方面,建议陆地温度面积(LSTA)模型和平均相对贡献(ARC)全面评估LST上表面特征的面积变化的影响。结果表明,大多数生物的温度适合性降低。 LST的变化与表面特征的综合变化有关。总之,LST的兴起对天津大多数生物产生不良影响。限制占用水域和耕地可能会抑制LST的连续上升。此外,本研究中提出的评价方法新颖性可以提供新的想法,以研究其环境中的空间物体的发展趋势。

著录项

  • 来源
    《International journal of remote sensing》 |2021年第2期|343-366|共24页
  • 作者单位

    Tianjin Chengjian Univ Sch Geol & Geomat Tianjin 300384 Peoples R China;

    Tianjin Chengjian Univ Sch Geol & Geomat Tianjin 300384 Peoples R China;

    Beijing Normal Univ Coll Global Change & Earth Syst Sci Beijing 100875 Peoples R China;

    Tianjin Chengjian Univ Sch Geol & Geomat Tianjin 300384 Peoples R China;

    Tianjin Chengjian Univ Sch Geol & Geomat Tianjin 300384 Peoples R China;

    Tianjin Chengjian Univ Sch Geol & Geomat Tianjin 300384 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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