地理科学进展 ›› 2008, Vol. 27 ›› Issue (3): 166-172.doi: 10.11820/dlkxjz.2008.03.023

• 遥感技术与模型应用 • 上一篇    

遥感估算热惯量研究的回顾与展望

张霄羽1,2, 毕于运3, 李召良1   

  1. 1. 中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京100101;
    2. 中国科学院研究生院,北京100049;
    3. 中国农业科学院农业资源与农业区划研究所,北京100081
  • 收稿日期:2008-01-01 修回日期:2008-04-01 出版日期:2008-05-25 发布日期:2008-05-25
  • 通讯作者: E-mail:biyuyun@sina.com E-mail:biyuyun@sina.com
  • 作者简介:張霄羽(1973-),女,山西临汾人,博士研究生,主要从事热红外遥感时间序列数据分析方面研究. E- mail:zhangxy.05b@igsnrr.ac.cn
  • 基金资助:

    国家重点基础研究发展计划(2007CB714400)之专题(2007CB714402- 6).

Estimation of Thermal Iner tia from Remotely Sensed Data: Cur r ent Status and Futur e Per spective

ZHANG Xiaoyu1,2, BI Yuyun3, LI Zhaoliang1   

  1. 1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research,, Beijing 100101;
    2. Graduate School of the Chinese Academy of Sciences, Beijing 100049;
    3. Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081
  • Received:2008-01-01 Revised:2008-04-01 Online:2008-05-25 Published:2008-05-25

摘要:

热惯量是影响地表温度变化的一个重要因子,随着热红外数据反演地表温度算法的不断完善,遥感技术已 成为估算热惯量的主要手段。本文回顾了近些年来遥感估算热惯量研究的进展,对其中3 种主要方法即地表温度 日较差法、日出日落温差法及模型反演法进行了评述,重点讨论了地表温度日较差估算热惯量方法,并提出从加强 机理研究、尺度转换及采用多时相多光谱数据等方面进一步完善遥感估算热惯量方法、提高其估算精度的设想。

关键词: 地表温度, 热惯量, 遥感

Abstract:

Thermal inertia is one of the important factors affecting surface temperature change and can be used in several disciplines for such purposes as discrimination of geologic materials, soil moisture determination, identification of crop stress in moisture deficient areas et al. With the advancement of the algorithms to retrieve land surface temperature from thermal infrared data, accurately to estimate thermal inertia from satellite data. This paper reviews the main algorithms and approaches estimate the thermal inertia from thermal satellite data, including method of day/ night temperature difference, method of temperature difference between sunset and sunrise and method using the model inversion. Among these methods, the method of day/night temperature difference is analyzed in more detail. On the basis of the comprehensive analysis and review of the advantages and disadvantages of each method, this paper put forward some research directions in the future to improve the accuracy of thermal inertia estimated from space, including mechanism research, scale proplem and use of multi- temporal and multi- spectral data.

Key words: remote sensing, surface temperature, thermal inertia