Title :
Two-year global simulation of L-band brightness temperatures over land
Author :
Pellarin, Thierry ; Wigneron, Jean-Pierre ; Calvet, Jean-Christophe ; Berger, Michael ; Douville, Hervé ; Ferrazzoli, Paolo ; Kerr, Yann H. ; Lopez-Baeza, Ernesto ; Pulliainen, Jouni ; Simmonds, Lester P. ; Waldteufel, Philippe
Author_Institution :
Meteo-France/CNRM, Toulouse, France
Abstract :
This letter presents a synthetic L-band (1.4 GHz) multiangular brightness temperature dataset over land surfaces that was simulated at a half-degree resolution and at the global scale. The microwave emission of various land-covers (herbaceous and woody vegetation, frozen and unfrozen bare soil, snow, etc.) was computed using a simple model [L-band Microwave Emission of the Biosphere (L-MEB)] based on radiative transfer equations. The soil and vegetation characteristics needed to initialize the L-MEB model were derived from existing land-cover maps. Continuous simulations from a land-surface scheme for 1987 and 1988 provided time series of the main variables driving the L-MEB model: soil temperature at the surface and at depth, surface soil moisture, proportion of frozen surface soil moisture, and snow cover characteristics. The obtained global maps constitute a useful dataset for a first evaluation of the sensitivity of future satellite-based L-band radiometry data to soil moisture.
Keywords :
brightness; moisture measurement; radiometry; remote sensing; soil; terrain mapping; vegetation mapping; 1.4 GHz; L-MEB model; L-band Microwave Emission of the Biosphere; frozen bare soil; frozen surface soil moisture; global maps; herbaceous vegetation; land cover maps; land surfaces; microwave emission; radiative transfer equations; snow cover characteristics; soil characteristics; soil temperature; surface soil moisture; synthetic L-band multiangular brightness temperature dataset; unfrozen bare soil; vegetation characteristics; woody vegetation; Biosphere; Brightness temperature; Computational modeling; Equations; L-band; Land surface; Moisture; Snow; Surface soil; Vegetation mapping;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2003.815417