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• W82184066 endingPage "143" @default.
• W82184066 startingPage "93" @default.
• W82184066 abstract "Land surface temperature (LST) is not only a good indicator of both the energy equilibrium of the earth’s surface and greenhouse effects but also one of the key variables controlling fundamental biospheric and geospheric interactions between the earth’s surface and its atmosphere (Sellers et al. 1988; Prata et al. 1995; Brunsell and Gillies 2003; Zhang et al. 2008). As the direct driving force in the exchange of longwave radiation and turbulent heat fluxes in the surface–atmosphere interface, it can play either a direct role such as when estimating longwave fluxes or an indirect role such as when estimating latent and sensible heat fluxes (Mannstein 1987; Sellers et al. 1988). Moreover, many other applications, such as evapotranspiration modeling (Serafini 1987; Bussieres et al. 1990; Su 2002; Kalma et al. 2008), soil moisture estimating (Price 1990), urban climatic, hydrological, vegetation monitoring, environmental studies (Bastiaanssen et al. 1998; Kogan 2001; Su 2002; Arnfield 2003; Voogt and Oke 2003; Weng et al. 2004; Weng 2009; Hansen et al. 2010), and biogeochemical studying (Schmugge and André 1991; Running et al. 1994), rely on the knowledge of LST by providing information on the temporal and spatial variations of the surface equilibrium state (Kerr et al. 2000), and it has been recognized as one of the high-priority parameters of the International Geosphere and Biosphere Program (IGBP) (Townshend et al. 1994). Because of the strong heterogeneity of land surface characteristics in vegetation, topography, and soil (Liu et al. 2006; Neteler 2010), the LST changes rapidly in space as well as in time (Vauclin et al. 1982; Prata et al. 1995). An adequate characterization of the LST distribution and its temporal evolution, therefore, requires measurements with detailed spatial and temporal sampling. These measurements cannot be obtained using ground-based systems due to the complexity and inaccuracy of conventional LST measurements and the errors in spatial scaling resulting from inadequate sampling and inaccurate scaling methods. With the development of remote sensing from space, satellite data offer the only possibility for measuring the LST at the largest scales with sufficient high temporal resolution and with complete spatially averaged rather than point values. Consequently, the retrieval of LST from satellite measurements is of increasing attraction with respect to current earth observations.KeywordsLand Surface TemperatureAdvance Very High Resolution RadiometerAdvance Very High Resolution RadiometerAtmospheric ProfileView Zenith AngleThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W82184066 created "2016-06-24" @default.
• W82184066 creator A5058040417 @default.
• W82184066 creator A5074919470 @default.
• W82184066 date "2013-12-04" @default.
• W82184066 modified "2023-09-25" @default.
• W82184066 title "Land Surface Temperature Retrieval from Thermal Infrared Data" @default.
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