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- W2005332444 abstract "Soil salinization is a most important factor to influence agriculture in arid area. There is a dire need to monitoring the soil salinization information based on Chinese own satellite data. In the study, a remote sensing classification method of soil salinization land based on knowledge discovery and decision-making process that is benefit to arise classification precision through a decision tree method has been constructed. The result shows that near 80% area of the entire county has suffered soil salinization with different grade. The percent of heavy, middle and light grades soil salinization area are 11.29, 20.53 and 49.01 respectively." @default.
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- W2005332444 date "2011-09-01" @default.
- W2005332444 modified "2023-09-27" @default.
- W2005332444 title "Extraction of Soil Salinization from Remote Sensing Information and LUCC Data Based on Knowledge Discovery over the Arid Area: A Case Study on Kuka County in Xinjiang" @default.
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- W2005332444 doi "https://doi.org/10.4028/www.scientific.net/amm.90-93.1706" @default.
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