Common requirements for cloud detection methods including the adjustability with respect to
incorrect results are clarified, and a method is proposed that satisfies the requirements by …

Land surface temperature (LST), derived from satellite thermal infrared (TIR) sensors, is a
key variable for characterization of urban heat island, modeling of surface energy balance …

Abstract The Leicester Along‐Track Scanning Radiometer (ATSR) and Sea and Land
Surface Temperature Radiometer (SLSTR) Processor for LAnd Surface Temperature …

Cloud detection and screening constitute critically important first steps required to derive
many satellite data products. Traditional threshold-based cloud mask algorithms require a …

The stability of a climate data record (CDR) is essential for evaluating long-term trends in
surface temperature using remote sensing products. In the case of a satellite-derived CDR of …

Land Surface Temperature (LST) is integral to our understanding of the radiative energy
budget of the Earth's surface since it provides the best approximation to the thermodynamic …

To determine aerosol optical thickness, AOT, and other geophysical parameters describing
conditions in the atmosphere and at the earth's surface by inversion of remote sensing …

Cloud detection is a source of significant errors in retrieval of sea surface temperature (SST).
We apply a Bayesian cloud detection scheme to 37 years of Advanced Very High Resolution …

Reflectance imagery is used to aid daytime cloud detection in thermal remote sensing. This
paper presents new approaches to utilization of reflectance for sea surface temperature …

Clouds remain one of the largest sources of uncertainty in remote sensing of surface
temperature in the infrared, but this uncertainty has not generally been quantified. We …