Estimation of the Total Atmospheric Water Vapor Content and Land Surface Temperature Based on AATSR Thermal Data

Sensors

Tangtang Zhang¹  Jun Wen¹  Rogier van der Velde²  Xianhong Meng¹  Zhenchao Li¹  Yuanyong Liu¹ 

[1] Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, P. R. China;International Institute for Geo-information Science and Earth Observation (ITC), 7500 AA Enschede, The Netherlands; E-mail:

关键词: Land surface temperature;    Total atmospheric water vapor content;    AATSR;    Retrieval;    MODIS;    the Loess Plateau;   

DOI  :  10.3390/s8031832

来源: mdpi

【 摘 要 】

The total atmospheric water vapor content (TAWV) and land surface temperature (LST) play important roles in meteorology, hydrology, ecology and some other disciplines. In this paper, the ENVISAT/AATSR (The Advanced Along-Track Scanning Radiometer) thermal data are used to estimate the TAWV and LST over the Loess Plateau in China by using a practical split window algorithm. The distribution of the TAWV is accord with that of the MODIS TAWV products, which indicates that the estimation of the total atmospheric water vapor content is reliable. Validations of the LST by comparing with the ground measurements indicate that the maximum absolute derivation, the maximum relative error and the average relative error is 4.0K, 11.8% and 5.0% respectively, which shows that the retrievals are believable; this algorithm can provide a new way to estimate the LST from AATSR data.

【 授权许可】

Unknown   
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