Title :
Robust water temperature retrieval using multi-spectral and multi-angular IR measurements
Author :
Tornow, Carmen ; Borel, Christoph C. ; Powers, Bill J.
Author_Institution :
Los Alamos Nat. Lab., NM, USA
Abstract :
Temperature retrievals over water surfaces are possible because of the almost constant emissivity of water. As an example the authors discuss the channel selection for a robust sea surface temperature retrieval under various atmospheric conditions (water vapor content, cirrus clouds and aerosols). The presented model uses simulated data from MODTRAN runs and detector noise. It is based on a linear regression fit of the measured radiances to the sea surface temperatures. Results indicate that the sea surface temperature can be retrieved to within less than one degree absolute accuracy using the nadir and one off-nadir measurement. The authors compare the procedure to inversion of an analytical model and discuss sensitivities of the model
Keywords :
infrared imaging; oceanographic techniques; radiometry; remote sensing; temperature measurement; IR radiometry; MODTRAN; SST; analytical model; atmospheric conditions; infrared method; inversion; linear regression fit; measurement technique; model; multi-spectral multi-angular; multiangular method; multispectral method; ocean sea surface temperature; off-nadir measurement; remote sensing; robust water temperature retrieval; Aerosols; Atmospheric modeling; Clouds; Content based retrieval; Noise robustness; Ocean temperature; Sea measurements; Sea surface; Surface fitting; Temperature sensors;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399146