基于MODIS资料研究广州市热环境

邓玉娇; 刘诚; 林锦祥

基于MODIS资料研究广州市热环境

1.
中国科学院广州地球化学研究所, 广东, 广州, 510640;广州气象卫星地面站, 广东, 广州, 510640
2.
国家卫星气象中心, 北京, 100081
3.
广州气象卫星地面站, 广东, 广州, 510640

基金项目: 广州市科技攻关引导项目(编号:2003-Z3-E0151)资助

计量
- 文章访问数: 889
- HTML全文浏览量: 0
- PDF下载量: 1172
- 被引次数: 0
出版历程
- 收稿日期: 2006-01-18
- 修回日期: 2006-11-08

RESEARCH INTO THERMAL ENVIRONMENT IN GUANGZHOU BASED ON MODIS DATA

1.
Guangzhou Institute of Geochemistry, the Chinese Academy of Sciences, Guangzhou, Guangdong 510640, China;Guangzhou Meteorological Satellite station, Guangzhou, Guangdong 510640, China
2.
National Satellite Meteorological Center, Beijing 100081, China
3.
Guangzhou Meteorological Satellite station, Guangzhou, Guangdong 510640, China

摘要

摘要: 利用MODIS资料,采用推广分裂窗方法,对广州市热环境进行研究。通过实测数据与反演数据进行比较分析,表明该方法的数据精度基本满足研究要求。研究结果表明,广州市的高温区主要发生在荔湾、越秀、海珠、黄埔、天河等城区,这些区域建筑密集、人口集中、下垫面升温快;低温区域多发生在植被覆盖度高、水系分布密集、人为活动较为稀少的郊区。保护现有的水体面积和增加城市绿地面积是改善区域热环境的行之有效的办法。
- MODIS /
- 城市热环境 /
- 推广分裂窗方法 /
- 广州市
Abstract: The paper uses MODIS data and the split-windows method to research into the thermal environment of Guangzhou City. Comparing the land surface temperature retrieved from MODIS data with the meteorological measurement data shows that the data precision through the split-windows method basically satisfies the research requirement. The result shows that most high-temperature regions are urban districts,such as Liwan,Yuexiu,Haizhu,Huangpu and Tianhe,which have dense buildings,concentrated population and underlying land surface that is rapidly heated. Most low-temperature regions are suburban areas with good vegetation,dense river system,and few human activities. An effective method to improve the regional thermal environment is to protect the area of existing water and increase the greenbelt of the city.
- MODIS /
- Urban Thermal Environment /
- Revised Split-windows Method /
- Guangzhou City

HTML全文

参考文献(9)

[1]	刘莉利,郑祖光.我国1月和7月气温变化的分析[J].热带气象学报,2004,20(1):151-160.
[2]	罗秋红,纪忠萍.广东省盛夏气温异常的成因初探[J].热带气象学报,2005,21(4):427-434.
[3]	陈云浩,李京,李晓兵.城市热环境遥感分析——格局、过程、模拟与影响[M].北京:科学出版社,2004:1-5.
[4]	刘玉洁,杨忠东.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001:198-201.
[5]	覃志豪,高懋芳,秦晓敏,等.农业旱灾监测中的地表温度遥感反演方法[J].自然灾害学报,2005,14(4):64-71.
[6]	PRICE J C.Land Surface Temperature Measurements from the Split Window Channels of the NOAA-7 AVHRR[J].Journal of Geophysical Research,1984,89:7 231-7 237.
[7]	BECKER F,LI Z L.Toward A Local Split Window Method Over Land Surface[J].International Journal of Remote Sensing,1990,3:369-393.
[8]	COLL C,CASELLES V,SOBRINO J A,et al.On the Atmospheric Dependence of the Split-window Equation for Land Surfce Temperature[J].International Journal of Remote Sensing,1994,15:105-122.
[9]	WAN Zhengming,DOSIER J.A Generalized Split-window Algorithm for Retrieving Land Surface Temperature from Space[J].IEEE Transactionson Geoscience and Remote Sensing,1996,34(4):892-905.