the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

39 40 Land skin temperature (Ts) is an important parameter in the energy exchange 41 between the land surface and atmosphere. Here hourly Ts from the Community Land 42 Model Version 4.0, MODIS satellite observations, and in-situ observations in 2003 43 were compared. Compared with the in-situ observations over four semi-arid stations, 44 both MODIS and modeled Ts show negative biases, but MODIS...

extended abstract   introduction the most important indicator of climate in a region is vegetation community. climate can be different over large areas, because of changes in vegetation community. vegetation influences weather and climate in its surrounding areas mostly by way of evapotranspiration and albedo so they play a role in the earth’s energy balance. these effects on the earth’s energy...

a considerable part of precipitation falls in the form of snow in golestan watershed. in turn, snowmelt plays a significant role in surface runoff, groundwater feeding and flood propagation in this area. snow cover area (sca) as an indicator of stored water can be implemented for temporal and spatial monitoring of snowmelt in the hydrological models. to monitor spatial and temporal variation of...

Remote sensing can provide estimates of spatially distributed actual evapotranspiration (ET) at different spatial scales. Methods that combine remotely sensed observations with other ground-based information on land and atmospheric properties usually allow improved estimates of spatially distributed evapotranspiration (ET) than when remotely sensed data are used alone. Spatial resolution of rem...

due to the hard climatic conditions of the yardang region in the lut desert, not much information about land surface temperatures of this region, one of the extremely arid cli-matic zones of iran, has been extracted. therefore, in this study in order to obtain some information about important surface features of the lut desert (marl, grey sand, bright sand and salt affected land), field tempera...

Two approaches for estimation of remotely sensed land surface temperature, Ts, based on MSG-SEVIRI data have been tested in a semi-arid environment in West Africa. A local algorithm, based on in situ measured Ts and a regional algorithm, based on MODIS LST products. They are both based on the split-window technique and show encouraging results, however applications are limited to the region for...

In this study we examine the relationship between remotely sensed, in situ and modelled land surface temperature (LST) over a heterogeneous land-cover (LC) enclosed in alpine terrain. This relationship can help to understand to what extent the remotely sensed data can be used to improve model simulations of land surface parameters such as LST in mountainous areas. LST from the MODerate resoluti...

Using remotely sensed satellite products is the most efficient way to monitor global land, water, and forest resource changes, which are believed to be the main factors for understanding global climate change and its impacts. A reliable remotely sensed product should be retrieved quantitatively through models or statistical methods. However, producing global products requires a complex computin...

Phenology response to climatic variables is a vital indicator for understanding changes in biosphere processes as related to possible climate change. We investigated global phenology relationships to precipitation and land surface temperature (LST) at high spatial and temporal resolution for calendar years 2008–2011. We used cross-correlation between MODIS Enhanced Vegetation Index (EVI), MODIS...