遥感估算热惯量研究的回顾与展望
Estimation of Thermal Inertia from Remotely Sensed Data： Current Status and Future Perspective
查看参考文献38篇
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文摘
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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。 |
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其他语种文摘
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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. |
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来源
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地理科学进展
,2008,27(3):166-172 【核心库】
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关键词
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遥感
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热惯量
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地表温度
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地址
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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
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中国农业科学院农业资源与农业区划研究所, 北京, 100081
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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大气科学(气象学);公路运输 |
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基金
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国家973计划
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文献收藏号
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CSCD:3352950
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