自然资源学报 ›› 2014, Vol. 29 ›› Issue (3): 540-552.doi: 10.11849/zrzyxb.2014.03.017

• 综述 • 上一篇    

气温遥感估算方法研究综述

张丽文1,2, 黄敬峰1,2, 王秀珍3   

  1. 1. 浙江大学农业遥感与信息技术应用研究所, 杭州310058;
    2. 浙江省农业遥感与信息技术重点实验室, 杭州310058;
    3. 杭州师范大学遥感与地球科学研究院, 杭州310018
  • 收稿日期:2012-11-27 修回日期:2013-04-09 出版日期:2014-03-20 发布日期:2014-03-20
  • 作者简介:张丽文(1985-),女,湖北宜昌人,博士生,研究方向为农业遥感与农业气象研究。E-mail:flowerpapa@hotmail.com
  • 基金资助:

    公益性行业(气象)科研专项(GYHY201306036);国家科技支撑计划(2012BAH29B04)。

A Review on Air Temperature Estimation by Satellite Thermal Infrared Remote Sensing

ZHANG Li-wen1,2, HUANG Jing-feng1,2, WANG Xiu-zhen3   

  1. 1. Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China;
    2. Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058, China;
    3. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China
  • Received:2012-11-27 Revised:2013-04-09 Online:2014-03-20 Published:2014-03-20
  • About author:3

摘要:

气温作为重要的气候资源之一,在植被长势、农业灾害和气候变化研究中发挥着举足轻重的作用。目前大尺度农业、气候模型都需要空间分布的气温作为输入参数。除了用有限的台站数据空间插值获取气温栅格化数据外,遥感技术更为连贯精细的气温空间观测提供了有力的数据支持。为服务区域尺度气温相关的科研及业务工作,论文首先介绍了目前国内外气温遥感估算的主要方法,包括简单统计法、高级统计法、温度-植被指数分析法(TVX法)、地表能量平衡法及大气温度廓线外推法。再根据实际应用需要,重点总结比较了最高、最低和平均气温及不同时空尺度气温的遥感估算特点。最后讨论了气温遥感估算在实际应用中存在的问题并探讨了未来的研究趋势。

关键词: 农业资源利用, 遥感, 气温, 地表温度

Abstract:

As an important climate resource, near surface air temperature plays an essential role in driving the vegetation growth, monitoring agro-meteorological disasters and global change. The spatially continuous air temperature images, which can be better derived from remotely sensed data than interpolated of meteorological data from limited ground stations, are required as the important input parameters by several environmental models at the regional scale. To serve and support the scientific research and business work concerning the distribution of air temperature at regional scale, in this paper, we firstly introduced the main five categories of methods to estimate air temperature from remotely sensed thermal data, including simple statistical approaches, the advanced statistical approaches, the temperaturevegetation index (TVX), the method based on surface energy balance and the one based on temperature lapse rate. Then, the approaches of maximum, minimum and mean air temperatures estimation were discussed in more details, followed by the comparison of air temperature estimation at different temporal and spatial scales. Finally, the problems and prospects for remotely sensed estimation of air temperature were summarized.

Key words: land surface temperature, remote sensing, agricultural resource utilization, air temperature

中图分类号: 

  • P407.6