Land surface soil moisture (SSM) is crucial in research and applications in hydrology, ecology, and meteorology. A novel SSM retrieval model, based on the diurnal cycles of land surface temperature (LST) and net surface shortwave radiation (NSSR), has recently been reported. It suggests a promising avenue for the retrieval of regional SSM using LST and NSSR derived from geostationary satellites...

Land surface temperature (LST) is an essential factor in many areas like global climate change studies, urban land use/land cover, geo-/biophysical and also a key input for climate models. LANDSAT 8, the latest satellite from LANDSAT series, has given lot of possibilities to study the land processes using remote sensing. In this study an attempt has been made to estimate LST over Chittoor distr...

This study analyzed the scaling problem of land surface temperature (LST) data retrieved with the Temperature Emissivity Separation (TES) algorithm. We compiled a remotely sensed dataset that included Thermal Airborne Hyperspectral Imager (TASI) and satellite-based Advanced Spaceborne Thermal Emission Reflection (ASTER) data, which were acquired simultaneously. This dataset provided the range o...

Satellite-based temperature measurements are an important indicator for global climate change studies over large areas. Records from Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Very High Resolution Radiometer (AVHRR) and (Advanced) Along Track Scanning Radiometer ((A)ATSR) are providing long-term time series information. Assessing the quality of remote sensing-based temperat...

The Advanced Along-Track Scanning Radiometer (AATSR), onboard ESA’s Envisat Satellite, is a precision radiometer that provides data from which global observations of land surface temperature (LST) can be derived. These LST data are retrieved using a nadir-only split window algorithm, with a target accuracy of 2.5 K during the day and 1.0 K at night. The algorithm will also be applied operationa...

This study demonstrated the potentiality of the use of remote sensing and geospatial techniques for urban climate analysis with a case study of Abu Dhabi city area. A first analysis assessed the variation of Land Surface Temperature (LST) at different spatial scales its relationship with land cover, Normalized Difference Vegetation Index (NDVI), and percentage of Impervious Surface Area (ISA) h...

[1] The time series of clear-sky Land Surface Temperatures (LST) for one year, 2001, obtained from pyrgeometric observations at five selected US surface radiation (SURFRAD) stations and independently retrieved for the locations of these stations from Infrared Imager hourly observations of two geostationary satellites, GOES-8 and GOES-10, are presented as a sum of time-dependent expected value (...

Continuous land-surface temperature (LST) observations from ground-based stations are an important reference dataset for validating remote-sensing LST products. However, a lack of evaluations of the representativeness of station observations limits the reliability of validation results. In this study, a new practical validation scheme is presented for validating remote-sensing LST products that...

Estimating evapotranspiration is essential for understanding the water cycle of natural systems and for the management of the water resources in landscape systems. This paper presents a procedure to calculate the evapotranspiration using the remote sensing data and Grid Computing. Evapotranspiration was retrieved during satellite overpass and integrated for 24 hours on pixel-by-pixel base for d...