Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48682
Title: Validation of MODIS and AVHRR/3 sea surface temperature retrieval algorithms
Authors: Marcello, Javier 
Eugenio, Francisco 
Hernández, Alonso 
UNESCO Clasification: 250616 Teledetección (Geología)
2510 Oceanografía
Keywords: Ocean temperature
MODIS
Sea surface
Atmosphere
Radiometers
Atmospheric measurements
Sea measurements
Thermal variables measurement
Issue Date: 2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Abstract: Sea surface temperature (SST) is one of the main factors in the understanding of the interaction between the oceans and the atmosphere, so the development of algorithms for the production of reliable SST data sets from space borne infrared radiometers has been pursued since late 1960's. Unfortunately the thermal structure in the upper 10 m of the ocean is complex and highly variable, so SST may be significantly different depending on the vertical depth of the in situ measurement, the local time of day, local conditions at the air-sea interface and the instrument used. In this context, the validation of the AVHRR/3 and MODIS atmospheric correction algorithms for the retrieval of sea surface temperature from the Canary Islands-Azores-Gibraltar area is performed by using in situ temperature measurements, derived from the ARGO data collection system and by the oceanographic service of the University of Las Palmas Gran Canaria, over the period from December 2000 to September 2003. The improvements and restrictions introduced in the systematic procedure to generate the match-up database have lead to a very high quality comparison data set. Finally, error analysis shows that SST can be retrieved with accuracies better than 0.6degC and, specifically, the MODIS mid-infrared algorithm achieves an excellent performance at night-time with accuracies to the order of 0.35degC
URI: http://hdl.handle.net/10553/48682
ISBN: 0-7803-8742-2
DOI: 10.1109/IGARSS.2004.1368535
Source: International Geoscience and Remote Sensing Symposium (IGARSS),v. 2, p. 839-842
Appears in Collections:Actas de congresos
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