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Mapping the urban thermal pattern of the Salt Lake Valley using advanced thermal land applications sensor airborne data (Utah).

机译:使用先进的热陆应用传感器机载数据(犹他州)绘制盐湖谷的城市热型图。

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摘要

An environmental consequence of urbanization is the urban heat island effect (a situation where urban areas are warmer than surrounding rural areas), which results from the replacement of natural landscapes with impervious surfaces such as concrete and asphalt. The heat retention from impervious surfaces causes a disruption of the surface energy balance, and can exacerbate existing air pollution conditions. In order to better understand the urban microclimate, a greater understanding of the urban thermal pattern, including the thermal properties of individual land covers, is needed. This study utilizes ATLAS (Advanced Thermal Land Applications Sensor) thermal data, a high spatial resolution (10-m) airborne-sensor dataset appropriate for an environment containing a concentration of diverse land covers, in combination with Landsat TM data to examine the overall thermal pattern of the Salt Lake Valley at two levels: (1) the community level and (2) the valley-wide level. The thermal properties of individual land covers are identified, and then used to identify thermal properties of various land uses at both levels. The UTP (Urban Thermal Pattern) of the Salt Lake Valley is then compared to remotely-sensed data at the climate modeling scale, namely 1.1-km ground resolution Landsat TM data.; Results show that a heat island is evident at both the community and the valley-wide level where there is a dominance of impervious surfaces. ATLAS data perform well in community-level studies in terms of land cover and thermal exchanges, but other more coarse-resolution data sets are more appropriate for large-area thermal studies. Remote sensing data, with a variety of spatial and temporal resolutions available, provide an excellent opportunity to examine the holistic nature of the urban microclimate.
机译:城市化的环境后果是城市热岛效应(这种情况是城市地区比周围农村地区更热),这是由于用不透水的表面(例如混凝土和沥青)代替了自然景观。不可渗透表面的热量保留会破坏表面能平衡,并加剧现有的空气污染状况。为了更好地理解城市的小气候,需要对城市的热模式,包括各个土地覆盖物的热特性,有更深入的了解。这项研究利用了ATLAS(先进的热土地应用传感器)热数据,适用于包含各种土地覆盖物浓度的环境的高空间分辨率(10-m)机载传感器数据集,并结合Landsat TM数据来检查整体热盐湖谷的格局在两个层面上:(1)社区层面和(2)整个山谷层面。确定各个土地覆被的热性质,然后将其用于识别两个级别上各种土地用途的热性质。然后,将盐湖谷的UTP(城市热模式)与气候模型规模的遥感数据(即1.1公里地面分辨率Landsat TM数据)进行比较。结果表明,热岛在社区和整个山谷范围内都很明显,在这些地方不透水的表面占主导地位。在社区一级的土地覆盖和热交换研究中,ATLAS数据表现良好,但其他分辨率更高的数据集更适合于大面积热研究。具有各种可用的时空分辨率的遥感数据为检查城市微气候的整体性质提供了极好的机会。

著录项

  • 作者

    Gluch, Renee Marie.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Geography.; Remote Sensing.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 85 p.
  • 总页数 85
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自然地理学;遥感技术;
  • 关键词

  • 入库时间 2022-08-17 11:44:49

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