地球信息科学学报 ›› 2012, Vol. 14 ›› Issue (4): 481-489.doi: 10.3724/SP.J.1047.2012.00481

• 遥感技术与应用 • 上一篇    下一篇

城市绿量的遥感估算与热岛效应的相关分析——以北京市五环区域为例

邸苏闯, 吴文勇, 刘洪禄, 杨胜利, 潘兴瑶   

  1. 北京市水利科学研究所, 北京 100048
  • 收稿日期:2011-09-23 修回日期:2012-07-14 出版日期:2012-08-25 发布日期:2012-08-22
  • 作者简介:邸苏闯(1983-),男,汉族,河北深泽人,在读博士,工程师,研究方向:定量遥感、GIS技术在水文水资源领域的应用。E-mail:disuchuang@163.com
  • 基金资助:

    "十二五"国家科技支撑计划课题"节水灌溉技术应用模式"(2011BAD25B02)。

The Correlationship between Urban Greenness and Heat Island Effect with RS Technology:A Case Study within 5th Ring Road in Beijing

DI Suchuang, WU Wenyong, LIU Honglu, YANG Shengli, PAN Xingyao   

  1. Beijing Hydraulic Research Institute, Beijing 100048, China
  • Received:2011-09-23 Revised:2012-07-14 Online:2012-08-25 Published:2012-08-22

摘要:

本研究以遥感分析北京城市绿地对地表温度的影响,研究包括绿地提取、绿量估算、地表温度反演,地表温度和绿量相关分析。并以高精度Rapid Eye遥感影像,提取了五环内的绿地面积(197.3km2,占城区总面积的29.6%),且估算绿量总值为2450.7km2。同时用2009年7月20日的Landsat5 TM 6波段数据进行地表温度反演,低温区、中温区、次热岛和热岛区域所占的五环内城区面积的比例分别为12.3%,34.7%,40.4%和12.6%。绿量和地表温度呈负相关关系:y=-1278.7x+60650,城市绿地可以使城区平均温度降低2.6℃。

关键词: 热岛, 城市绿地, 归一化植被指数, 遥感, 绿量

Abstract:

Remote sensing technology was used to estimate the interrelationship between urban green land development and land surface temperature in Beijing. The processes involved green land identification, greenness evaluation, land surface temperature retrieval, and analysis of relationship between land surface temperature and greenness. The decision tree for hierarchical classification was built up to identify the green vegetation area according to reflectance value in different bands for land covers in urban area: water, built-ups, bare soil, high-density vegetation and low density vegetation. NDVI value was used to specify the vegetation area, for high-density vegetation area it was between 0.27 and 1.0, and for low-density area it was between 0.1and 0.26. With the help of Rapid Eye remote sensing image and on site investigation, the green land area was evaluated and it was 197.3 km2 accounting for 29.6% of total urban area.50 investigated quadrates were distributed in 10 parks, such as Summer Palace, Olympic Park, and so on. The correlation coefficient for greenness and NDVI is 0.73 based on Rapid Eye imagines, while it is 0.60 based on Landsat 5 TM imagines. The estimated greenness is 2450.7 km2 within 5th ring road of Beijing. The land surface temperature was retrieved from the Landsat 5 TM 6 remote sensing image, and it was between 31℃ to 46.2℃. The land surface temperature for water body and vegetation area was 4-6℃ lower than nearby built-ups. The proportion for low temperature region, middle temperature region, sub heat island region, and heat island region were 12.3%,34.7%,40.4%, and 12.6%, respectively. It shown a negative correlation between land surface temperature and greenness as y=-1278.7x+60650 (x represented land surface temperature(℃); y represented greenness(m2). The green land declined the land surface temperature by 2.6℃ in Beijing.

Key words: urban heat island, greenness, remote sensing, NDVI, urban greenland