Case study of soil moisture effect on land surface temperature retrieval
作者： D. Sun , R.T. Pinker
关键词:
摘要: Land surface temperature (LST) is an important element of the climate system. Remote sensing methods for estimating LST have been developed in past and several them implemented at large-scales. Geostationary satellites are particular interest because they depict diurnal cycle. Soil moisture has a strong effect on magnitude via its influence emissivity; yet, information soil large scales meager. It to estimate what retrieval accuracy by remote sensing. In this study, newly algorithms land from geostationary will be applied GOES-8 observations during Southern Great Plains 1997 Hydrology Experiment (SGP-97) when both were made. The ground used first demonstrate cycle temperature, amplitude lag maxima. Subsequently, it was established that errors as derived measurements negative correlation with moisture, namely, increasing decrease moisture.
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