中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Evaluation of the VI-T-s method for estimating the land surface moisture index and air temperature using ASTER and MODIS data in the North China Plain

文献类型:期刊论文

作者Sun, Zhigang2; Wang, Qinxue1; Matsushita, Bunkei3; Fukushima, Takehiko3; Ouyang, Zhu4; Watanabe, Masataka5; Gebremichael, Mekonnen2
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期2011
卷号32期号:22页码:7257-7278
文献子类Article
英文摘要Two conditions are required when a remotely sensed vegetation index-land surface temperature (VI-T-s) diagram is used to estimate the land surface moisture index (LSMI) and air temperature (T-a). First, a suitable sampling window size is required to define an ideal VI-T-s diagram. Second, T-a must be homogeneous across the sampling window. In this study, the Shannon diversity index (SDI) and the semivariogram method were used to evaluate the VI-T-s diagram for estimating LSMI and T-a from Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) and MODerate-resolution Imaging Spectroradiometer (MODIS) datasets. The results show that T-a is homogeneous across a sampling window with a width of several tens of kilometres (46.0-83.6 km) based on the semivariogram method and spatial autocorrelation analysis of the T-a from 83 meteorological stations in the North China Plain (NCP) in 2003. When the SDIs of VI and T-s are respectively larger than 77% and 63% of their maximums within predetermined sampling windows, LSMI estimations by ASTER and T-a estimations by ASTER and MODIS are reliable.
WOS关键词SOIL-WATER CONTENT ; SPECTRAL VEGETATION INDEX ; REMOTE-SENSING ALGORITHM ; NORMALIZED DIFFERENCE ; SATELLITE DATA ; LANDSCAPE ; EVAPOTRANSPIRATION ; FLUXES ; COVER ; AVHRR
语种英语
WOS记录号WOS:000298372800019
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/68029]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Qinxue
作者单位1.Natl Inst Environm Studies, Tsukuba, Ibaraki 3058506, Japan
2.Univ Connecticut, Unit 2037, Storrs, CT 06269 USA
3.Univ Tsukuba, Grad Sch Life & Environm Sci, Tsukuba, Ibaraki 3058571, Japan
4.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Beijing 100101, Peoples R China
5.Keio Univ, Grad Sch Media & Governance, Fujisawa, Kanagawa 2528520, Japan
推荐引用方式
GB/T 7714
Sun, Zhigang,Wang, Qinxue,Matsushita, Bunkei,et al. Evaluation of the VI-T-s method for estimating the land surface moisture index and air temperature using ASTER and MODIS data in the North China Plain[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2011,32(22):7257-7278.
APA Sun, Zhigang.,Wang, Qinxue.,Matsushita, Bunkei.,Fukushima, Takehiko.,Ouyang, Zhu.,...&Gebremichael, Mekonnen.(2011).Evaluation of the VI-T-s method for estimating the land surface moisture index and air temperature using ASTER and MODIS data in the North China Plain.INTERNATIONAL JOURNAL OF REMOTE SENSING,32(22),7257-7278.
MLA Sun, Zhigang,et al."Evaluation of the VI-T-s method for estimating the land surface moisture index and air temperature using ASTER and MODIS data in the North China Plain".INTERNATIONAL JOURNAL OF REMOTE SENSING 32.22(2011):7257-7278.

入库方式: OAI收割

来源:地理科学与资源研究所

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