Please wait a minute...
 
国土资源遥感  2010, Vol. 22 Issue (2): 35-40    DOI: 10.6046/gtzyyg.2010.02.08
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
大气水分含量的空间异质性及其对地表温度反演的影响
陈峰1, 熊永柱1,2, 黄少鹏3, 叶红1
1.中国科学院城市环境研究所城市环境与健康重点实验室,厦门361021; 2.嘉应学院地理系,梅州514015; 3.密歇根州大学地质科学学院,安娜堡,密歇根州48109-1005,美国
Spatial Heterogeneity of Atmospheric Water Vapor and Its Influence on the
Retrieval of Land Surface Temperature Based on Remote Sensing Data
CHEN Feng 1, XIONG Yong-zhu 1,2, HUANG Shao-peng 3, YE Hong 1
1.Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021,China; 2.Department of Geography, Jiaying University, Meizhou 514015, China;3.Department of Geological Sciences, University of Michigan, Ann Arbor, MI 48109-1005, USA
全文: PDF(1015 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 

大气水分含量是影响单波段热红外地表温度反演的关键因素之一。研究大气水分含量空间异质性对地表温度反演的影响误差有助于单波段热红外数据的合理应用。以MODIS MOD 05_L2产品为数据源,探讨区域大气水分含量的空间异质性及其对Landsat地表温度反演的影响。在推导大气水分含量对地表温度反演误差模型的基础上,针对Landsat 5热红外波段,结合不同区域的大气水分含量分布状况,对大气水分含量的空间异质性可能引起的地表温度反演误差进行了模拟计算与对比分析。结果显示,大气水分含量空间异质性对地表温度反演的影响与大气水分含量及其异质性程度有关: 当大气水分含量的空间异质性相对较大时,误差值和误差范围都比较大,达到0.5~2℃,相对误差为2%~20%; 当大气水分含量空间分布较均匀时,误差值和误差范围为0.1~0.2℃,相对误差为0.5%~2%。可见,对于空间异质性程度较大的区域,区域面上大气参数的获得对地表温度的准确反演具有重要意义。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
曾琪明
焦健
郭红艳
王晓煜
关键词 线性地物耕地系数星载SAR图像    
Abstract

Atmospheric water vapor is one of the key factors affecting the retrieval of land surface temperature (LST) from the single-band infrared image. It is conductive to the rational usage of single-band infrared data to find out the influence of spatial heterogeneity of AWV on the retrieval of LST. With the MODIS MOD05_L2 products as data sources, this paper discussed the spatial heterogeneity of AWV at the regional scale and its impact on the retrieval of LST from Landsat image. Firstly, an error model was deduced with regard to the influence of AWV on the retrieval of LST from remote sensing data. Then, in order to explore the retrieval error of LST possibly caused by the spatial heterogeneity of AWV at the regional scale, the authors conducted simulation tests followed by comparative analyses under spatially different distribution conditions of AWV in several regions, particularly for the thermal infrared band of Landsat 5. Results obtained in this paper indicate that the retrieval error of LST caused by the spatial heterogeneity of AWV has to do with the value and the heterogeneity degree of AWV. For example, when AWV had relatively high heterogeneity, an error was relatively great, ranging from 0.5℃ to 2℃ with relative error from 2% to 20% accordingly; by contrast, when AWV was relatively uniform, error was comparatively insignificant and ranged from 0.1℃ to 0.2℃ with relative error from 0.5% to 2% accordingly. In conclusion, with regard to regions with a relatively high degree of atmospheric heterogeneity, it is vital to get atmospheric parameters properly at the regional scale so as to retrieve LST precisely from remote sensing data.

Key wordsLinear feature    Cultivation land coefficient    Space-borne SAR Image
     出版日期: 2010-06-29
引用本文:   
陈峰, 熊永柱, 黄少鹏, 叶红. 大气水分含量的空间异质性及其对地表温度反演的影响[J]. 国土资源遥感, 2010, 22(2): 35-40.
CHEN Feng, XIONG Yong-Zhu, HUANG Shao-Peng, YE Hong. Spatial Heterogeneity of Atmospheric Water Vapor and Its Influence on the
Retrieval of Land Surface Temperature Based on Remote Sensing Data. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(2): 35-40.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.02.08      或      https://www.gtzyyg.com/CN/Y2010/V22/I2/35
[1] 曾琪明, 焦健, 郭红艳, 王晓煜. 星载SAR图像的稻田耕地系数实验研究[J]. 国土资源遥感, 2003, 15(4): 13-16,34.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发