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作 者:朱高飞[1] 盛建东[1] 范燕敏[1] 武红旗[1] 付彦博[1]
机构地区:[1]新疆农业大学草业与环境科学学院,新疆乌鲁木齐830052
出 处:《农业网络信息》2013年第6期20-25,共6页Agriculture Network Information
基 金:国家公益性行业(农业)科研专项经费项目(编号:200903001);国家自然科学基金项目(编号:41261057);新疆土壤学重点学科基金项目资助
摘 要:针对目前干旱半干旱区存在的土壤盐渍化问题,以北疆典型盐渍化地区玛纳斯县北五岔镇为研究区,对土壤样品总盐含量及其光谱反射率进行测量。通过对土壤光谱曲线进行去包络线和一阶微分处理,分析了土壤光谱反射率曲线与土壤盐渍化程度之间的关系,确定了反映盐渍化程度较为敏感的波段347~377nm和1800~1911nm,并建立了高光谱定量预测模型,该模型可用于土壤盐渍化程度评价。研究结果对在干旱半干旱区高光谱数据反演土壤含盐量提供参考依据。Focused on the soil salinization widely distributed in the arid and semi-arid region of China,with Beiwucha town in Manas county,northern Xinjiang taken as the study area,the total salt content and the spectral reflectance of saline soil were measured.Using continuum-removed and first derivate methods,the relations between soil salinization level and soil spectrum were analyzed.Sensitive bands which reflected soil salinization level involved 347-377 nm and 1800-1911 nm.Hyperspectral quantitative prediction model was constructed to assess the degree of soil salinization.This study could provide a reference basis for assessing soil salinity with hyperspectral data in the arid and semi-arid region.
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