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机构地区:[1]中国科学院南京土壤研究所,南京210008 [2]安徽工业大学,马鞍山243002
出 处:《遥感信息》2010年第1期79-83,共5页Remote Sensing Information
基 金:中国科学院知识创新工程重要方向性项目(KZCX2-YW-406-3);中国科学院知识创新工程重大项目(KSCX1-YW-09);国家科技支撑计划项目课题(2006BAD05B02);国家"863"计划重点大项目课题(2006AA100207);国家自然科学基金项目(40771097);国家重点基础研究发展计划项目课题(2005CB121108)资助
摘 要:以河南封丘TM影像及田间电磁感应调查为基础研究盐渍土的识别分级。通过分析遥感影像的光谱特征,得出几大地类的光谱亮度值和光谱指数差异;同时,利用电磁感应调查结果解译出土壤电导率作为辅助信息,用以辅助盐渍土的提取和分级,最后建立地类识别及盐渍土分级的标准进行决策树分类。研究结果表明,综合运用遥感和电磁感应技术,不仅能够有效的提取水体、城镇等非农用地,而且能够比较准确的识别农用地中的盐渍化土壤,尤其是中轻程度的盐渍化土壤,这对于有效评价该地区土壤盐渍化现状及指导农业生产具有积极意义。This paper is dealing with the interpretation and classification of the saline soils based on TM image of Fengqiu County,Henan Province and the electromagnetic induction. The differences of spectrum brightness of different land categories and the differences of spectral indices are explored by analyzing the spectral characteristics of remote sensing image.And the soil electrical conductivity,as the assistant information,interpreted by results of electromagnetic induction survey helps interpretation and classification of the saline soils.Then indicators of interpretation and classification are established,and the decision tree classification is executed.The research result shows that not only the non-agricultural lands such as the river,towns,but the saline soils,especially moderate saline soils and slight saline soils can be interpreted more accurately by comprehensive application of remote sensing and electromagnetic induction technologies.This has a positive significance in assessing situation of salinization of the study area and instructing the agricultural production.
分 类 号:TP751[自动化与计算机技术—检测技术与自动化装置]
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