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作 者:韩霁昌[1,2,3] 李晓明[1,2,3]
机构地区:[1]陕西省地产开发服务总公司,陕西西安710075 [2]陕西省土地整治工程技术研究中心,陕西西安710075 [3]国土资源部退化及未利用土地整治工程重点实验室,陕西西安710075
出 处:《光谱学与光谱分析》2013年第7期1932-1935,共4页Spectroscopy and Spectral Analysis
基 金:陕西省自然科学基础研究计划项目(2012JQ5015);陕西省科学技术研究发展计划项目(2011K01-36);国家公益性行业科研专项经费项目(201311005)资助
摘 要:选取陕北拌沙改良盐碱地为研究对象,对盐碱地利用障碍因子进行高光谱遥感反演研究。通过实测研究区域的作物长势,采集土壤样品和土壤高光谱数据,并实验测定土壤理化性质分析盐碱地利用的障碍因子,研究盐碱地利用障碍因子的高光谱特征,建立其遥感定量反演模型,并进行精度检验。研究结果表明:土壤盐分含量是制约改良盐碱地利用的主要障碍因子,毛管孔隙度与土壤盐分含量具有良好相关性,也可以作为障碍因子之一;利用土壤的高光谱数据对土壤全盐含量及毛管孔隙度进行遥感定量反演具有良好的精度(回归分析决定系数R2分别为0.938和0.973);检验样点精度检验结果表明,盐分含量及毛管孔隙度的实测值与预测值均具有良好的相关性(k均接近于1,R2分别为0.840 4和0.796 5),反演精度较高。通过高光谱数据对盐碱地改良利用的障碍因子进行遥感定量反演,对于指导盐碱地的整治改良和利用具有重要的推动作用。In the present paper, the meliorated saline-alkaline land by mixing sand in the north of Shaanxi province was chosen as the study area. The growth situation of the corn in the study area was measured, and soil samples and hyperspectral data were collected. The barrier factors for saline-alkaline land use were obtained by analysing the properties of soil samples. And the hy- perspectral characteristics of the barrier factors were studied to elicit the quantitative inverse model, and the accuracy was veri- fied. The study results indicated that the salt content in soil was the primary factor restricting the saline-alkaline land use, and capillary porosity was also the barrier factor because of its good correlation with the salt content. The precisions of quantitative inverse model of salt content and capillary porosity with hyperspectral data were good (the determinate coefficients R2 were 0. 938 and 0. 973). The test result with testing points showed that there were good correlations between the measured value and predicted value of salt content and capillary porosity (the slope was near to 1, and R2 was 0. 840 4 and 0. 796 5), the accuracy was good. It is of great promotion for guiding the saline-alkaline land consolidation and use that the barrier factors for saline-al- kaline land use were interpreted quantitatively by hyperspectral data.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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