Paper 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
  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.

  Info
Periodical
Edited by
Xuejun Zhou
Pages
1706-1710
DOI
10.4028/www.scientific.net/AMM.90-93.1706
Citation
Q. Q. Wang, Y. F. Hu, W. L. Song, F. Wang, "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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