Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example

LIU Pei; DU Pei-jun; ZHAO Wei-chang; ZHANG Hua-peng

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Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example

- Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example
- Bulletin of Soiland Water Conservation Vol. 28, Issue 1, Pages: 45-50(2009)
- 作者机构：
  
  1. 中国矿业大学地理信息与遥感科学系,江苏,徐州,221008
  2. 江苏省资源环境信息工程重点实验室,江苏,徐州,221008
  3. 河北省煤田地质局物测地质队,河北,邢台,054000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2009
- 稿件说明：
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LIU Pei, DU Pei-jun, ZHAO Wei-chang, et al. Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example[J]. Bulletin of Soiland Water Conservation, 2009, 28(1): 45-50.
DOI：

LIU Pei, DU Pei-jun, ZHAO Wei-chang, et al. Relationship Between Land Use/Cover Change and Urban Thermal Environment Evolution--Taking Xuzhou City as an Example[J]. Bulletin of Soiland Water Conservation, 2009, 28(1): 45-50. DOI：

摘要

以1987

1994

2000和2005年共4期的Landsat TM遥感影像为数据源

利用先进的决策树分类法获取徐州市土地利用/覆盖信息

通过单通道算法反演地表亮温获取城市热场分布与热环境变化信息

采用土壤调节植被指数SAVI定量描述研究区植被覆盖变化

并综合采用这些信息对城市热环境演变与城市扩展、植被覆盖变化的关系进行了综合分析。结果表明

利用Landsat TM数据结合决策树分类方法

是获取土地覆盖/利用的有效方法。通过计算地表辐射亮温来研究城市热环境变化是合适的

SAVI等因子与城市热环境显著相关

能够有效地定量描述城市扩展及其生态环境响应。研究结果可服务于城市环境保护与人居环境改善。

Abstract

Using Landsat TM remotely sensed images captured in 1987

1994

2000

and 2005 as data source

land use/cover change(LUCC) information of Xuzhou City is obtained by decision-tree classification

urban thermal area distribution and thermal environment change are described by land surface temperature which is retrieved through mon-window arithmetic from thermal infrared bands

and then vegetation coverage change is quantitatively depicted by soil adjusted vegetation index(SAVI).Based on information on land cover

land surface temperature

and vegetation coverage

the relationships among vegetation coverage

urban expansion

and urban thermal environment change are comprehensively analyzed.Results show that using decision-tree algorithm is an effective method to obtain the data on land use and land cover.It is appropriate to use land surface radiance bright temperature for the analysis of urban heat environment change.The factors such as SAVI are significantly correlated with urban heat environment and can be used to quantitatively describe urban expansion and eco-environmental response.Research outcomes can be used for the protection of urban environment and the optimization of urban human settlement.

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