Title :
Simulation of split-window algorithm performance
Author :
Axelsson, Sune R.J. ; Lundén, Bengt
Author_Institution :
Nat. Defence Res. Establ., Linkoping, Sweden
Abstract :
Various methods for correction of the atmospheric influence in the thermal IR-windows 3-5 μm and 10-13 μm, have been proposed. One such method is the split-window technique for correction of AVHRR data. From earlier work, there are significant variations in the suggested coefficients of this algorithm. Over land surfaces, variations in emissivity have also to be compensated for. In this paper, the optimum choice of coefficients is investigated against a set of standard atmospheres using a prediction model including the emissivity effects of a land surface. It is obvious from the results that instead of using fixed standard coefficients estimated over a wide spread of atmospheric conditions, the optimum coefficients should be computed based on the best guess of the present atmospheric path parameters and on estimated emissivity values of the individual pixels
Keywords :
atmospheric optics; atmospheric radiation; geophysical signal processing; geophysical techniques; infrared imaging; remote sensing; 3 to 13 mum; IR radiometry; atmosphere; atmospheric path parameters; correction; emissivity; geophysical measurement technique; infrared imaging; land surface; performance; satellite remote sensing; split-window algorithm; terrain mapping; thermal IR-window; thermal radiation; Absorption; Atmosphere; Atmospheric measurements; Atmospheric modeling; Atmospheric waves; Land surface; Land surface temperature; Ocean temperature; Satellites; Sea surface;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.615873