摘要
针对干旱区土壤盐渍化问题,以新疆渭干河-库车河绿洲为研究区,探讨电磁感应技术和光谱角分类法(SAM)相结合来识别典型干旱区盐渍土的可行性。以重度盐渍土为例,利用电磁感应仪EM38和采样数据,结合光谱角分类法和回归分析法,反演土壤电导率(EC1:5)的空间分布,识别重度盐渍土。结果表明:土壤表观电导率(ECa)与土壤电导率(EC1:5)具有较好的非线性相关性;垂直模式电导率(EMv)对土壤电导率(EC1:5)的解译精度优于水平模式电导率(ECh);研究区土壤盐分含量在区域尺度呈中等强度变异;电磁感应技术和光谱角分类法结合可以较好识别符合条件的盐渍土。该研究方法能够较好识别典型干旱区的盐渍土,为盐渍化评估、预防和治理提供了新的途径。
Taking into account the problem of soil salinization existing in arid region, this study was to discuss the feasibility of identifying saline soil using electromagnetic induction techniques and spectral angle mapper （SAM） in a typical arid region of Weigan-Kuqa River Oasis of Xin jiang Province. To severe saline soil, for example, using EM38 electromagnetic induction instrument and sampling data, combined with spectral angle mapper and regression analysis, get the spatial distribution of soil electrical conductivity （EC1：5） and identify severe saline soil. The result indicated that soil apparent electrical conductivity （ECa） has good non-linear correlation with Soil conductivity （EC1：5）; the interpretation accuracy of the vertical mode conductivity （EMv） to soil electrical conductivity （EC1：5） is better than the horizontal mode conductivity to; soil salt content showed moderate variation; the electromagnetic induction techniques and spectral angle mapper can identify eligible saline soil better together. This research method can identify the saline soil better in typical arid areas, and provide a new way for salinization assessment in different scales.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2012年第20期180-187,I0004,共9页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金项目(41161063
40961008)
国家自然科学青年基金(41001198)
霍英东教育基金项目(121018)
新疆自然科学基金项目(200821128)资助
关键词
土壤
含水率
电磁感应
光谱角分类
回归分析
识别
干旱区
soils, moisture, electromagnetic induction, spectral angle mapper, regression analysis, identify, arid areas
