DocumentCode :
299341
Title :
Investigating the Along-Track Scanning Radiometer´s sea surface temperature precision
Author :
Harris, A.R. ; Saunders, M.A. ; Foot, J.S. ; Smith, KP ; Mutlow, C.T.
Author_Institution :
Dept. of Space & Climate Phys., Univ. Coll. London, UK
Volume :
2
fYear :
34881
fDate :
10-14 Jul1995
Firstpage :
1384
Abstract :
The Along-Track Scanning Radiometer (ATSR), flying on ESA´s first remote sensing satellite, ERS-1, has been designed to retrieve sea surface temperature (SST) to a precision of <0.25 K, which is more than twice the accuracy of any previously flown radiometer. In a recent global validation study against drifting buoys, Harris et al. achieve an ATSR SST precision of just 0.25 K using a retrieval algorithm incorporating only the 3.7 μm and 11 μm nadir view channels with spatially averaged (½°×½° in latitude and longitude) 1 km data. The present authors now extend this study to investigate whether this precision may be further improved by using straight 1 km match-up retrievals. Sub-pixel cloud and noise contamination of the standard ATSR dual-view SST product are two factors affecting the 1 km precision. They find that screening of the subpixel cloud improves the 1 km retrieval precision from 0.33 to 0.26 K, and that the instrumental noise contamination of the standard SST product can be effectively removed by smoothing the atmospheric correction over a matrix of 19×19 pixels
Keywords :
infrared imaging; oceanographic techniques; radiometry; remote sensing; temperature measurement; 1 km match-up retrieval; 3 to 11 mum; ATSR; Along-Track Scanning Radiometer; ERS-1; IR radiometry; SST; accuracy; far infrared; measurement technique; ocean thermal structure; precision; retrieval algorithm; satellite remote sensing; sea surface temperature; Clouds; Contamination; Information retrieval; Instruments; Ocean temperature; Radiometry; Remote sensing; Satellite broadcasting; Sea surface; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
Type :
conf
DOI :
10.1109/IGARSS.1995.521757
Filename :
521757
Link To Document :
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