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- W2548830388 abstract "QUEST (Quick, Unbiased, and Efficient Statistical Tree) algorithm has been widely applied to the remote sensing characteristic classification, for its high speed and precision compared to other decision tree algorithms. This paper took Chaoyang, western Liaoning province as the study area and integrated RS (Remote Sensing), GIS (Geographic Information System) and QUEST to classify the groundwater potential. Initially, Five thematic layers, viz., lithology, geomorphology, slope, NDVI, NDWI were considered as the indicator factors. Then, 21 draining wells were investigated and divided into four classes, ‘Very Good’, ‘Good’, ‘Moderate’, ‘Poor’, and the decision tree was generated with QUEST method. Finally, four classes of groundwater potential zones were demarcated in the study area and verified with the yield of 14 wells, and the result was found satisfactory with the accuracy of 92.8%." @default.
- W2548830388 created "2016-11-11" @default.
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- W2548830388 date "2016-07-01" @default.
- W2548830388 modified "2023-10-16" @default.
- W2548830388 title "Classification of groundwater potential in Chaoyang area based on QUEST algorithm" @default.
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- W2548830388 doi "https://doi.org/10.1109/igarss.2016.7729225" @default.
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