Fig. 1: Illustration of the experimental setup to sample the surface temperature of a patch of land. In this work, we address rapid sampling of environmental fields using static and mobile imaging sensors. Specifically, we demonstrate effective reconstruction of the surface temperature field of a patch of vegetation. Accurate monitoring of surface temperature is desirable for various applicatio...

[1] The influence of uncertainty in land surface temperature, air temperature, and wind speed on the estimation of sensible heat flux is analyzed using a Bayesian inference technique applied to the Surface Energy Balance System (SEBS) model. The Bayesian approach allows for an explicit quantification of the uncertainties in input variables: a source of error generally ignored in surface heat fl...

[1] We use statistical techniques to quantify the effect of interannual variations in vegetation within land covers on surface temperature in North America and Eurasia from satellite measures of surface greenness and ground based meteorological observations. During the winter, reductions in the extent of snow cover cause (in a statistical sense) temperature to rise. During the summer, increases...

Land surface temperature (LST) is a significant parameter for many applications. Many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. Each algorithm is developed for a limited study area andapplication. In this paper, as part of developing an optimal split-window m...

Observations from satellite microwave instruments have a large information content and are known to improve the quality of global analyses of the atmosphere. However, the use of these observations remains far from being optimal. Indeed, only microwave observations, for which the surface contribute the least, are currently assimilated. This restriction is mainly due to remaining uncertainties ab...

The objective of this work is to develop a Simple Land-Interface Model (SLIM) that captures the seasonal and interannual behavior of land–atmosphere coupling, as well as the subsequent subsurface temperature evolution. The model employs the one-dimensional thermal diffusion equation driven by a surface flux boundary condition. While the underlying physics is straightforward, the SLIM framework ...

Methods Ordinary least squares regression was used to develop relationships between forest extent and surface temperature. Forest extent was derived from the 900 m 2001 National Land Cover Database (NLCD 2001) and surface temperature data were from the MODIS 1 km 8-day composite (MYD11A2). Forest–surface temperature relationships were developed for winter, spring, summer, autumn and annually us...

the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

Land use/cover change has been recognized as an important component in regional and global climate. This study provides satellite observed impacts of agricultural activities on near surface climate. Land surface temperature products from NASA’s earth observing system (EOS) Terra and Aqua satellites are used. The intensive winter wheat field in the southern Great Plains greatly modifies the seas...