Monthly night averaged land surface temperature (LST) MODIS imagery was analyzed throughout a year-period (2006), in an attempt to segment the terrain of Egypt into regions with different LST seasonal variability, and represent them parametrically. Regions with distinct spatial and temporal LST patterns were outlined using several clustering techniques capturing aspects of spatial, temporal and...

Information on land surface temperature (LST) is important for understanding climate change, modeling the hydrological and biogeochemical cycles, and is a prime candidate parameter for Numerical Weather Prediction assimilation models. In particular, the LST data derived from geostationary operational environmental satellite (GOES) provides unique opportunity for studying LST diurnal variation. ...

This paper proposes a practical split-window algorithm (SWA) for retrieving land surface temperature (LST) from Landsat-8 Thermal Infrared Sensor (TIRS) data. This SWA has a universal applicability and a set of parameters that can be applied when retrieving LSTs year-round. The atmospheric transmittance and the land surface emissivity (LSE), the essential SWA input parameters, of the Landsat-8 ...

Land surface temperature (LST) is important factor in global change studies, in estimating radiation budgets in heat balance studies and as a control for climate models. The knowledge of surface temperature is important to a range of issues and themes in earth sciences central to urban climatology, global environmental change, and human-environment interactions. In the study an attempt has been...

A pilot study was designed to analyze a potential association between dengue hemorrhagic fever (DHF) incidence and, temperature computed by satellite. DHF is a mosquito transmitted disease, and water vapor and humidity are known to have a positive effect on mosquito life by increasing survival time and shortening the development cycle. Among other available satellite data, Land Surface Temperat...

The effect of urbanization on the urban thermal environment (UTE) has attracted increasing research attention for its significant relationship to local climatic change and habitat comfort. Using quantitative thermal remote sensing and spatial statistics methods, here we analyze four Landsat TM/ETM+ images of Guangzhou in South China acquired respectively on 13 October 1990, 2 January 2000, 23 N...

Remote sensing observations over the Marseille-Berre area were analyzed as part of the UBL/CLU ESCOMPTE experiment conducted in Marseille (France) in 2001. One hundred and fifty nine NOAA-AVHRR images, with a 1 km spatial resolution, were extracted over the period of June 4 to July 13 2001. Land Surface Temperatures (LST) and a fractional vegetation index were derived from the images. The tempo...

Since March 2004, an operational land surface temperature (LST) product has been derived from data recorded by ESA’s Advanced Along-Track Scanning Radiometer (AATSR onboard Envisat). The algorithm, which utilises a nadir-only split window retrieval, will also be applied operationally to data recorded by the AATSR’s predecessors, ATSR-1 (ERS-1) and ATSR-2 (ERS-2), leading to a > 15-year record o...

This study proposes a modified vegetation-dependent temperature-vegetation dryness index (TVDI) model for analyzing regional drought disasters in the Beijing-Tianjin-Hebei Metropolitan Region (BTHMR) of China. First, MODIS monthly normalized difference vegetation index (NDVI), land surface temperature (LST) data and land use/cover data (Land cover type2) were pre-processed as a consistent big d...

We present a methodology to validate land surface temperature (LST) retrieved from Advanced AlongTrack Scanning Radiometer (AATSR) data in heterogeneous areas. To this end, a set of algorithms based on Split-Window (SW) and Dual-Angle (DA) techniques has been proposed and evaluated with in situ measurements of LST obtained from field campaigns made in heterogeneous areas. These campaigns were c...