Downscaling NLDAS-2 daily maximum air temperatures using MODIS land surface temperatures

A global comparison between station air temperatures and MODIS land surface temperatures reveals the cooling role of forests

Estimating Daily Land Surface Temperatures in Mountainous Environments by Reconstructed MODIS LST Data

Continuous monitoring of extreme environments, such as the European Alps, is hampered by the sparse and/or irregular distribution of meteorological stations, the difficulties in performing ground surveys and the complexity of interpolating existing station data. Remotely sensed Land Surface Temperature (LST) is therefore of major interest for a variety of environmental and ecological applicatio...

Improving the Downscaling of Diurnal Land Surface Temperatures Using the Annual Cycle Parameters as Disaggregation Kernels

The downscaling of geostationary diurnal thermal data can ease the lack of land surface temperature (LST) datasets that combine high spatial and temporal resolution. However, the downscaling of diurnal LST data is more demanding than single scenes. This is because the spatiotemporal interrelationships of the original LST data have to be preserved and accurately reproduced by the downscaled LST ...

Space-time interpolation of daily air temperatures

We propose a model to describe the mean function as well as the spatio-temporal covariance structure of 15 years of both maximum and minimum daily temperature data from 190 stations throughout the region of Catalonia (Spain), with daily data covering the period 1994-2008. Our aim is threefold: (a) estimation of the long-term trend of maximum and minimum temperatures; (b) assessing the spatial a...

Downscaling land surface temperatures with multi-spectral and multi-resolution images

Land surface temperature (LST) plays an important role in many fields. However, the limited spatial resolution of current thermal sensors impedes the utilization of LSTs. Based on a theoretical framework of thermal sharpening, this report presents an Enhanced Generalized Theoretical Framework (EGTF) to downscale LSTs using multi-spectral (MS) and multi-resolution images. MS proxy-sharpening and...