首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于MODIS数据的旅游温湿指数时空分布研究
引用本文:谢雯,任黎秀,姜立鹏.基于MODIS数据的旅游温湿指数时空分布研究[J].地理与地理信息科学,2006,22(5):31-35.
作者姓名:谢雯  任黎秀  姜立鹏
作者单位:1. 南京大学城市与资源学系,江苏,南京,210093
2. 南京大学城市与资源学系,江苏,南京,210093;南京大学国际地球系统科学研究所,江苏,南京,210093
摘    要:旅游舒适度对旅游气候资源评价以及气候条件与旅游活动关系研究等具有重要意义,而温湿指数是衡量旅游舒适度的一项重要指标。提出适用于MODIS遥感数据的旅游温湿指数模型,介绍模型所需参数地表温度和地面水气压的遥感反演方法。利用该模型计算我国2003年12个月的旅游温湿指数,并分析其时空分布特征。

关 键 词:旅游  温湿指数  遥感  MODIS  时空分布
文章编号:1672-0504(2006)05-0031-05
修稿时间:2006年3月29日

A Study on Spatial and Temporal Distribution of Temperature-Humidity Index in China Based on MODIS Data
XIE Wen,REN Li-xiu,JIANG Li-peng.A Study on Spatial and Temporal Distribution of Temperature-Humidity Index in China Based on MODIS Data[J].Geography and Geo-Information Science,2006,22(5):31-35.
Authors:XIE Wen  REN Li-xiu  JIANG Li-peng
Abstract:Tourism comfort index plays an important role in the assessment of the touring climate resources,the study of the relationship between climatic conditions and tourism activities and so on.The temperature-humidity index(THI) is an important indicator of tourism comfort indexes.So it is of great significance to research the THI.This paper intended to present a method of calculating THI by satellite remote sensing data,which could avoid the drawback of points replacing surfaces of the traditional method using meteorological data.First of all,a THI model based on land surface temperature(LST) and ground water vapor pressure(e) was proposed.Then the method of calculating LST and e by EOD/MODIS image data was introduced.The LST would be retrieved from MODIS 31and 32 bands using split window algorithm.The ground water vapor pressure would be calculated by atmospheric water content,which can be derived from MODIS 2 and 19 bands,using empirical equations.At last,the THI monthly in China in 2003 had been calculated using this model.The results reflected the actual characteristic of spatial-temporal distribution of THI in China.
Keywords:tourism  temperature-humidity index(THI)  remote sensing  MODIS  spatial-temporal distribution
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号