| 热红外遥感反演地表温度研究现状 |
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| 引用本文： | 朱怀松,刘晓锰,裴欢.热红外遥感反演地表温度研究现状[J].甘肃气象,2007,25(2):17-21. |
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| 作者姓名： | 朱怀松 刘晓锰 裴欢 |
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| 作者单位： | 新疆乌鲁木齐市环境信息中心 新疆乌鲁木齐830063(朱怀松)，新疆乌苏市水利局 新疆乌苏833000(刘晓锰)，南京大学国际地球系统科学研究所 江苏南京210093(裴欢) |
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| 摘 要： | 地球表面温度是一个重要的水文、气象参数,它影响着大气、海、陆之间的感热和潜热交换,是诸多研究领域不可或缺的基础资料,精确定量反演陆面温度的成果将推动旱灾预报和作物缺水研究、农作物产量估算、数值天气预报、全球气候变化和全球碳平衡等领域研究的进展。因此,利用卫星遥感资料进行地表温度的反演已成为目前遥感定量研究中的重要任务之一。本文阐述了遥感反演地表温度的原理及各种方法,对各种方法所要解决的关键问题及优缺点做了评述,最后展望了遥感反演地表温度的发展趋势。
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| 关 键 词： | 地表温度 单窗算法 劈窗算法 组分温度反演 |
| 文章编号： | 1006-7639（2007）-02-0017-05 |
| 修稿时间： | 2007-03-192007-05-07 |
Summary on Retrieval of Land Surface Temperature Using Thermal Infrared Remote Sensing |
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| ZHU Huaisong,LIU Xiaomeng,PEI Huan.Summary on Retrieval of Land Surface Temperature Using Thermal Infrared Remote Sensing[J].Gansu Meteorology,2007,25(2):17-21. |
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| Authors: | ZHU Huaisong LIU Xiaomeng PEI Huan |
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| Institution: | 1. Environment Information Center in Urumqi, Urumqi 830036, China ; 2. Water Conservancy Bureau in Wusu, Wusu 833000,Chinas3. International Institute for Earth System Science,Nanjing University ,Nanjing 210093, China |
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| Abstract: | The land surface temperature is an important parameter to hydrology and meteorology,it affects the exchange of sensible and latent heats between atmosphere,sea and land,and it cannot be lack in many research fields.To retrieve land surface temperature exactly and quantificationally will promote the development of research areas such as drought forecasting,crop yield estimating,numerical weather forecast,global climate change and carbon balance.Therefore,retrieval of land surface temperature using thermal infrared remote sensing becomes one of the most important tasks in quantificational remote sensing study.This article introduces the theory and methods of land surface temperature retrieval,and reviews their merit and insufficiency as well as the key questions in each method.Finally,it prospects the developing trend of land surface temperature retrieval. |
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| Keywords: | land surface temperature single-window algorithm split-window algorithm retrieval of component temperature |
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