PROGRESS IN GEOGRAPHY ›› 2009, Vol. 28 ›› Issue (5): 798-804.doi: 10.11820/dlkxjz.2009.05.019

• Original Articles • Previous Articles     Next Articles

The Research of NDVI-based Urban Green Space Landscape Pattern and Thermal Environment

LIU Yanhong|GUO Jinping   

  1. The Forestry College, Shanxi Agricultural University, Taigu 030801
  • Online:2009-09-25 Published:2009-09-25


With the aid of RS and GIS, taking Taiyuan City as a case, which is a national important energy industrial city, landscape ecological theory and method is used to the three periods of TM/ETM data include 1986, 1995 and 2001.It takes vegetation index(NDVI) and surface radiant temperature as urban green land and the hot environment effect’s index, by this to analyze the green space landscape pattern and the hot environmental change characteristics and their relationship, and seek the effective way to improve the ecological benefits of urban green space. It can provide some experience for the future city landscape green building. The result shows that green land of better vegetation cover with the larger NDVI is decreasing, instead of hard landscape of lower vegetation cover with the smaller NDVI. The aggravation of green landscape fragmentation degree and the scattered distribution of elements of the landscape are obvious at landscape scale. The increase in the diversity of landscape is on the premise of a large number of artificial interference. The dominance of various types of landscape diminishes and the distribution tends to uniform. At the same time, there is a negative correlation between NDVI and surface radiant temperature. The effects of thermal environment in landscape pattern enhance with the increase of fragmentation degree, the dominance of landscape reduction and the increase in diversity. Urban green spatial distribution has a significant impact on thermal environment, in which mixed pattern is most obvious to cooling effect.

Key words: green space landscape pattern, remote sensing, surface radiant temperature, vegetation index NDVI