Wu, Y, Shen, H and Xu, W 2013 Real-time sea surface air temperature retrieval over Southern Ocean using AMSR-E data. Journal of Remote Sensing, 17 (2). 467-475.
Full text not available from this repository.Abstract/Summary
The AMSR-E satellite data and in-situ data were applied to retrieve sea surface air temperature (Ta) over the Southern Ocean. The in-situ data were obtained from the 24~(th) -26~(th) Chinese Antarctic Expeditions during 2008-2010. First, Ta was used to analyze the relativity with the bright temperature (Tb) from the twelve channels of AMSR-E, and no high relativity was found between Ta and Tb from any of the channels. The highest relativity was 0.38 (with 23.8 GHz). The dataset for the modeling was obtained by using in-situ data to match up with Tb, and two methods were applied to build the retrieval model. In multi-parameters regression method, the Tbs from 12 channels were used to the model and the region was divided into two parts according to the latitude of 50°S. The retrieval results were compared with the in-situ data. The Root Mean Square Error (RMS) and relativity of high latitude zone were 0.96℃and 0.93, respectively. And those of low latitude zone were 1.29 ℃ and 0.96, respectively. Artificial neural network (ANN) method was applied to retrieve Ta.The RMS and relativity were 1.26 ℃ and 0.98, respectively.
Item Type: | Publication - Article |
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Subjects: | Earth Observation - Remote Sensing Ecology and Environment Marine Sciences |
Divisions: | Plymouth Marine Laboratory > Science Areas > Sea from Space (expired) |
Depositing User: | Mrs Julia Crocker |
Date made live: | 03 Mar 2014 11:41 |
Last Modified: | 06 Jun 2017 16:10 |
URI: | https://plymsea.ac.uk/id/eprint/5586 |
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