Quantification of the Scale Effect in Downscaling Remotely Sensed Land Surface Temperature

Quantification of the Scale Effect in Downscaling Remotely Sensed Land Surface Temperature

Most current statistical models for downscaling the remotely sensed land surface temperature (LST) are based on the assumption of the scale-invariant LST-descriptors relationship, which is being debated and requires an in-depth examination. Additionally, research on downscaling LST to high or very high resolutions (~10 m) is still rare. Here, a simple analytical model was developed to quantify ...

Modelling directional effects on remotely sensed land surface temperature

Article history: Received 7 May 2016 Received in revised form 10 November 2016 Accepted 13 December 2016 Available online 20 December 2016 Land surface temperature (LST) is a markedly directional variable and its remotely sensedmeasurement may be strongly affected by viewing and illumination geometries. This study proposes the use of LST products collocated in space and time, but obtained with ...

Remotely sensed land-surface energy fluxes

Introduction Conclusions References

A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature

The partitioning of available energy between sensible heat and latent heat is important for precise water resources planning and management in the context of global climate change. Land surface temperature (LST) is a key variable in energy balance process and remotely sensed LST is widely used for estimating surface heat fluxes at regional scale. However, the inequality between LST and aerodyna...

Comparison of model land skin temperature with remotely sensed estimates and assessment of surface-atmosphere coupling