太阳成8722(中国)有限公司-GREEN NO.1

旧版入口
|
English
学院新闻
博士生吴鹏海的论文在INTERNATIONAL JOURNAL OF DIGITAL EARTH刊出
发布时间:2014-01-17     发布者:yz         审核者:     浏览次数:

标题:mLand-surface temperature retrieval at high spatial and temporal resolutions based on multi-sensor fusion作者:Wu, Penghai; Shen, Huanfeng; Ai, Tinghua; Liu, Yaolin

来源出版物:INTERNATIONAL JOURNAL OF DIGITAL EARTH 卷:6 特刊:S1 页:113-133 DOI:10.1080/17538947.2013.783131出版年:DEC 9 2013

摘要:Land-surface temperature (LST) is of great significance for the estimation of radiation and energy budgets associated with land-surface processes. However, the available satellite LST products have either low spatial resolution or low temporal resolution, which constrains their potential applications. This paper proposes a spatiotemporal fusion method for retrieving LST at high spatial and temporal resolutions. One important characteristic of the proposed method is the consideration of the sensor observation differences between different land-cover types. The other main contribution is that the spatial correlations between different pixels are effectively considered by the use of a variation-based model. The method was tested and assessed quantitatively using the different sensors of Landsat TM/ETM+, moderate resolution imaging spectroradiometer and the geostationary operational environmental satellite imager. The validation results indicate that the proposed multisensor fusion method is accurate to about 2.5 K.

入藏号:

文献类型:Article

语种:English

作者关键词:land-surface temperature, image fusion, remote sensing, resolution

扩展关键词:IMAGE FUSION; SATELLITE IMAGERY; LANDSAT DATA; MODIS DATA; GEOSTATIONARY; REFLECTANCE; GENERATION; ALGORITHM; EVAPOTRANSPIRATION; EMISSIVITY

通讯作者地址:Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址:Shen, Huanfeng;shenhf@whu.edu.cn

地址:

[Wu, Penghai; Shen, Huanfeng; Ai, Tinghua; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

研究方向:Physical Geography; Remote Sensing

ISSN:1753-8947

Baidu
sogou