Aplicaci\uf3n de un algoritmo de split-window para la estimaci\uf3n de la temperatura de la superficie terrestre desde datos AVHRR-NOAA

The estimation of land surface temperature, in partial to completely cloudless clear days, was estimated using data from the Advanced Very High Resolution Radiometer (AVHRR) sensor aboard the satellites of the series National Oceanic and Atmospheric Administration (NOAA) for application of an algorithm based the Split Window's method. The utilized algorithm presupposes corrections for emissivity and the total atmospheric water vapour, and it was validated with field measurements of surface temperature. To this end an LI-1000 data logger was installed at the Agrometeorology Station dependent of the National Institute of Agricultural Research, Carillanca Regional Research Center Carillanca, Araucan\ueda Region of the Araucan\ueda (38\ub041' S lat; 72\ub025' W long; 200 m.o.s.l.). The measurements of temperature were realized at time intervals of one hour. Obtained results showed that the application of the algorithm permits obtaining the land surface temperature with a high grade degree of confidence, having a root mean square error (RMSE) inferior to 1%.Estimaciones de temperatura de la superficie terrestre, en d\uedas parciales a completamente despejados, fueron realizadas a partir de los datos proporcionados por el sensor Advanced Very High Resolution Radiometer (AVHRR), a bordo de la serie de sat\ue9lites de la National Oceanic and Atmospheric Administration (NOAA) por aplicaci\uf3n de un algoritmo basado en el m\ue9todo de Split-Window. El algoritmo utilizado supone correcciones por emisividad y contenido de vapor de agua atmosf\ue9rico, y fue validado con mediciones de temperatura de la superficie terrestre realizadas en terreno. Para esto, un data logger LI-1000 se instal\uf3 en la Estaci\uf3n Agrometeorol\uf3gica dependiente del Instituto de Investigaciones Agropecuarias, Centro Regional de Investigaci\uf3n Carillanca, Regi\uf3n de la Araucan\ueda (38\ub041'lat. S; 72\ub025'long. O; 200 m.s.n.m). Las mediciones de temperatura se realizaron a intervalos temporales de una hora.Los resultados obtenidos muestran que la aplicaci\uf3n del algoritmo permite obtener la temperatura de la superficie terrestre con un alto grado de confianza, obteni\ue9ndose un error cuadrado medio de la predicci\uf3n (RMSE) inferior al 1%

Application of a split-window algorithm to estimate land surface temperature from NOAA-AVHRR data Aplicación de un algoritmo de split-window para la estimación de la temeratura de la superficie terrestre desde datos AVHRR-NOAA

The estimation of land surface temperature, in partial to completely cloudless clear days, was estimated using data from the Advanced Very High Resolution Radiometer (AVHRR) sensor aboard the satellites of the series National Oceanic and Atmospheric Administration (NOAA) for application of an algorithm based the Split Window's method. The utilized algorithm presupposes corrections for emissivity and the total atmospheric water vapour, and it was validated with field measurements of surface temperature. To this end an LI-1000 data logger was installed at the Agrometeorology Station dependent of the National Institute of Agricultural Research, Carillanca Regional Research Center Carillanca, Araucanía Region of the Araucanía (38°41' S lat; 72°25' W long; 200 m.o.s.l.). The measurements of temperature were realized at time intervals of one hour. Obtained results showed that the application of the algorithm permits obtaining the land surface temperature with a high grade degree of confiden