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首页> 外文期刊>Environmental Geology >Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data
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Land surface temperature relation with normalized satellite indices for the estimation of spatio-temporal trends in temperature among various land use land cover classes of an arid Potohar region using Landsat data

机译：地表温度与归一化卫星指数的关系，用于利用Landsat数据估算干旱Potohar地区各种土地利用地被覆类别之间温度的时空趋势

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摘要

In terrestrial landscape architecture, land surface temperature (LST) is a key estimator of local climate, vegetation growth, and urban transition. It also represents the environmental factors that influence the land cover patterns using temperature variation over land use land cover (LULC) classes. In the present study, various geospatial techniques have been implemented to analyze the spatio-temporal trends in temperature among different LULC of an arid Potohar region of Pakistan using Landsat 7 (ETM+) and 8 (OLI & TIRS) and the relationship between different normalized satellite indices and LST. Results of the seasonal fluctuation in winter showed temperature range of 0-57, 0-50, 04-31 and 7-39 degrees C for the year 2000, 2005, 2010, and 2015, respectively, while the summer exhibited the temperature range of 24-48, 27- 57, 22-48, and 12-41 degrees C for the year 2000, 2005, 2010, and 2015, respectively. The analysis established a direct correlation between LST and normalized difference vegetation index and normalized difference water index, and an indirect correlation among LST and normalized difference soil index, normalized difference built-up index and built-up index. The findings are critically important for planning and development division for sustainable use of land resources for urbanization extension projects. Future research will highlight the change in the area occupied by different land featured classes and their impacts on LST over a specified period.
机译：在陆地景观建筑中，地表温度（LST）是当地气候，植被生长和城市转型的关键估算器。它还代表了在土地利用土地覆盖（LULC）类上使用温度变化来影响土地覆盖格局的环境因素。在本研究中，已使用Landsat 7（ETM +）和8（OLI＆TIRS）以及巴基斯坦的干旱卫星，研究了各种地理空间技术来分析温度的时空趋势，以及不同归一化卫星之间的关系。索引和LST。冬季的季节性波动结果表明，2000年，2005年，2010年和2015年的温度范围分别为0-57、0-50、04-31和7-39℃，而夏季的温度范围为0-57℃。 2000、2005、2010和2015年的温度分别为24-48、27-57、22-48和12-41摄氏度。分析建立了LST与归一化差异植被指数和归一化差异水指数之间的直接关联，以及LST与归一化差异土壤指数，归一化差异累积指数和集结指数之间的间接关联。这些发现对于可持续发展的土地资源用于城市化扩展项目的规划和开发部门至关重要。未来的研究将重点介绍在特定时期内不同土地特征类别所占面积的变化及其对土地利用税的影响。

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  • 来源
    《Environmental Geology》 |2020年第1期|40.1-40.15|共15页
  • 作者

    Tariq Aqil; Riaz Iqra; Ahmad Zulfiqar; Yang Bisheng; Amin Muhammad; Kausar Rukhsana; Andleeb Shaista; Farooqi Muhammad Aslam; Rafiq Muhammad;

  • 作者单位

    Wuhan Univ State Key Lab Informat Engn Surveying Mapping & R Wuhan 430079 Hubei Peoples R China;

    PMAS Arid Agr Univ IGEO Rawalpindi 46300 Pakistan|Int Islamic Univ Islamabad Dept Environm Sci Islamabad 44000 Pakistan;

    Wuhan Univ State Key Lab Water Resources & Water Hydropower Wuhan 430072 Hubei Peoples R China;

    PMAS Arid Agr Univ IGEO Rawalpindi 46300 Pakistan;

    Int Islamic Univ Islamabad Dept Environm Sci Islamabad 44000 Pakistan;

    Pir Mehr Ali Shah Arid Agr Univ Dept Wildlife Management & Environm Sci Rawalpindi Pakistan;

    Islamia Univ Bahawalpur Dept Entomol UCA & ES Bahawalpur 63100 Pakistan;

    Fed Urdu Univ Arts Sci & Technol Dept Comp Sci Islamabad 44000 Pakistan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    LST; LULC; Landsat; GIS indices; Remote sensing;

    机译：LST;LULC;陆地卫星GIS索引;遥感;

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