Zhang Tangtang, Wen Jun, Van der Velde Rogier, Meng Xianhong, Li Zhenchao, Liu Yuanyong, Liu Rong
Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, P. R. China.
International Institute for Geo-information Science and Earth Observation (ITC), 7500 AA Enschede, The Netherlands.
Sensors (Basel). 2008 Mar 16;8(3):1832-1845. doi: 10.3390/s8031832.
The total atmospheric water vapor content (TAWV) and land surfacetemperature (LST) play important roles in meteorology, hydrology, ecology and some otherdisciplines. In this paper, the ENVISAT/AATSR (The Advanced Along-Track ScanningRadiometer) thermal data are used to estimate the TAWV and LST over the Loess Plateauin China by using a practical split window algorithm. The distribution of the TAWV isaccord with that of the MODIS TAWV products, which indicates that the estimation of thetotal atmospheric water vapor content is reliable. Validations of the LST by comparingwith the ground measurements indicate that the maximum absolute derivation, themaximum 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 anew way to estimate the LST from AATSR data.
大气总水汽含量（TAWV）和陆地表面温度（LST）在气象学、水文学、生态学及其他一些学科中发挥着重要作用。本文利用ENVISAT/AATSR（先进沿轨扫描辐射计）热数据，通过实用的劈窗算法估算中国黄土高原地区的TAWV和LST。TAWV的分布与MODIS TAWV产品的分布一致，这表明大气总水汽含量的估算结果是可靠的。通过与地面测量值对比对LST进行验证，结果表明最大绝对偏差、最大相对误差和平均相对误差分别为4.0K、11.8%和5.0%，这表明反演结果是可信的；该算法可为从AATSR数据估算LST提供一种新方法。
