首页|New Machine Learning Study Findings Have Been Published by a Researcher at Pukyong National University (An Ensemble-Based Model for Specific Humidity Retrieval from Landsat-8 Satellite Data for South Korea)
New Machine Learning Study Findings Have Been Published by a Researcher at Pukyong National University (An Ensemble-Based Model for Specific Humidity Retrieval from Landsat-8 Satellite Data for South Korea)
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Investigators discuss new findings in artificial intelligence. According to news originating from Busan, South Korea, by NewsRx correspondents, research stated, “Specific humidity (SH) which means the amount of water vapor in 1kg of air, is used as an indicator of energy exchange between the atmosphere and the Earth’s surface.” Financial supporters for this research include Bk21 Four Project of The School of Integrated Science For Sustainable Earth & Environmental Disaster Pukyong National University. Our news reporters obtained a quote from the research from Pukyong National University: “SH is typically computed using microwave satellites. However, the spatial resolution of data for microwave satellite is too low. To overcome this disadvantage, we introduced new methods that applied data collected by the Landsat-8 satellite with high spatial resolution (30 m), a meteorological model, and observation data for South Korea in 2016-2017 to 4 machine learning techniques to develop an optimized technique for computing SH. Among the 4 machine learning techniques, the random forest-based method had the highest accuracy, with a coefficient of determination ® of 0.98, Root Mean Square Error (RMSE) of 0.001, bias of 0, and Relative Root Mean Square Error (RRMSE) of 11.16%.”
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