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

Abstract:

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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.

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Periodical:

Edited by:

Xuejun Zhou

Pages:

1706-1710

DOI:

10.4028/www.scientific.net/AMM.90-93.1706

Citation:

Q. Q. Wang et al., "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", Applied Mechanics and Materials, Vols. 90-93, pp. 1706-1710, 2011

Online since:

September 2011

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$35.00

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