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POINT PATTERN ANALYSIS AND REMOTE SENSING TECHNIQUES APPLIED TO EXPLAIN THE FORM OF THE URBAN HEAT ISLAND.

机译:点模式分析和遥感技术用于解释城市热岛的形式。

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摘要

The relationship between the form of the Urban Heat Island (UHI) and the pattern and quantity of urban vegetation was investigated. Although, earlier empirical studies have investigated the relationship between land-use and the form of the UHI, an explicit description of surface types and their spatial arrangement was sought in order to explain a greater amount of the variance in the UHI. The effect of surface type patterns on the energy budget of urban spaces has been suggested throughout the literature.;A digitized NASA CIR (1:120,000 scale) photograph provided the data base for the determination of pattern and quantity of vegetation in a spatial unit. An IR/G spectral ratio was utilized to classify 10,000 pixels, depicting a 600 m x 600 m ground scene, to vegetated and non-vegetated cells on a computerized vegetation map. By repeatedly sampling the map (5000x) with a 5 cell x 5 cell quadrat a number of measures of the arrangement (pattern), as well as the quantity, of vegetation in each of the 34 spatial units was obtained using Quadrat Analysis.;The UHI was found to exhibit a characteristic form depending on the length of urbanized surface air traveled over before being sampled. The magnitude of the UHI was most sensitive to nighttime meteorological conditions.;A methodology utilizing Remote Sensing and Quadrat Analysis was developed to describe the pattern and quantity of vegetation in 600 m x 600 m spatial units. A linear combination of variables, describing the distance from non-developed countryside, pattern of vegetation, quantity of vegetation, and meteorological conditions, explained 84% of the temporal and spatial variability of the Syracuse, N.Y. UHI for nine nights at 34 sampling stations.
机译:研究了城市热岛(UHI)的形式与城市植被的格局和数量之间的关系。尽管较早的实证研究已经研究了土地利用与UHI形式之间的关系,但仍在寻求对地表类型及其空间排列的明确描述,以解释UHI中更多的变化。整个文献都提出了地表型格局对城市空间能源收支的影响。一张数字化的NASA CIR(1:120,000比例)照片为确定空间单元中的格局和植被数量提供了数据库。利用IR / G光谱比将10,000个像素分类为600 m x 600 m的地面场景,以分类到计算机化植被图上的植被和非植被细胞。通过使用5单元x 5单元四边形重复采样地图(5000x),使用四边形分析获得了34个空间单元中每一个的植被布置(模式)和数量的度量。发现UHI表现出一种特征形式,这取决于在采样前经过的城市化地面空气的长度。 UHI的大小对夜间气象条件最为敏感。;开发了一种利用遥感和Quadrat分析的方法来描述600 m x 600 m空间单位中的植被格局和数量。变量的线性组合描述了与不发达乡村的距离,植被的格局,植被的数量以及气象条件,解释了纽约州锡拉丘兹UHI在34个采样站连续9个晚上的时空变化的84%。

著录项

  • 作者

    FLYNN, JOHN JAMES.;

  • 作者单位

    State University of New York College of Environmental Science and Forestry.;

  • 授予单位 State University of New York College of Environmental Science and Forestry.;
  • 学科 Forestry.;Geographic information science.
  • 学位 Ph.D.
  • 年度 1980
  • 页码 218 p.
  • 总页数 218
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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