棉田土壤水分的高光谱定量遥感模型

发布时间：2018-02-06 05:58

  本文关键词： 植被覆盖 土壤 水分含量 土层深度 高光谱遥感　出处：《土壤通报》2016年02期 　论文类型：期刊论文

【摘要】：在棉花大田水分试验的基础上,采用自主设计的不同土层取样方法,同步获取了棉花冠层高光谱数据和不同深度土壤的水分含量数据以及棉花冠层水分含量数据,分析了棉花冠层含水量与土壤含水量之间的关系、棉花冠层高光谱数据与土壤含水量之间的相关性,构建了基于棉花冠层高光谱数据的土壤水分含量反演模型。结果表明:不同土层的水分含量具有较大差异,棉花冠层对不同土层水分含量的响应程度不同,0~30 cm土层水分含量与棉花冠层含水量的相关性最强,决定系数达到0.58;棉花冠层反射率与土壤水含量在可见光波段呈负相关,近红外波段呈正相关;在所有以棉花冠层高光谱数据的不同变换形式构建的不同土层含水量的PLSR反演模型中,以反射率倒数对数所建的模型对0~30 cm土层和以反射率对数所建模型对0~10 cm土层含水量的预测RPD均达到2.0以上,具有较好的预测能力,其余模型的预测效果不理想。
[Abstract]:On the basis of water experiment in cotton field, different soil sampling methods were adopted. The hyperspectral data of cotton canopy, soil moisture content data of different depths and cotton canopy water content data were obtained simultaneously, and the relationship between cotton canopy water content and soil water content was analyzed. Based on the correlation between cotton canopy hyperspectral data and soil moisture content, an inversion model of soil moisture content based on cotton canopy hyperspectral data was constructed. The results showed that there were significant differences in soil moisture content among different soil layers. The response degree of cotton canopy to different soil water content was different. The correlation between cotton canopy moisture content and cotton canopy water content was the strongest, and the determining coefficient was 0.58. There was a negative correlation between cotton canopy reflectance and soil water content in visible light band and a positive correlation in near infrared band. In all the PLSR inversion models of different soil moisture content constructed by different transformation form of cotton canopy hyperspectral data. The predicted RPD of 0 ~ 30 cm soil layer and 0 ~ 10 cm soil layer by the model based on the reciprocal logarithm of reflectance is above 2.0. It has better prediction ability, and the other models have not good prediction effect.
【作者单位】： 塔里木大学经济与管理学院资源与环境经济研究所;塔里木大学植物科学学院;
【基金】：国家自然科学基金项目(41061031,41261083,41361048)资助
【分类号】：S152.7;TP79
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本文编号：1493750