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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。
Based on the field experiment of cotton field, the data of cotton canopy hyperspectral data and soil moisture content at different depths and the moisture content of cotton canopy were obtained synchronously with different soil sampling methods independently designed. The effects of cotton canopy content The relationship between the water content and the soil water content, the correlation between the cotton canopy hyperspectral data and the soil water content, and the soil moisture content inversion model based on the cotton canopy hyperspectral data were constructed. The results showed that the moisture content of different soil layers was quite different. The response of cotton canopy to different soil moisture contents was different. The correlation between moisture content of 0-30 cm soil layer and cotton canopy water content was the strongest. The coefficient of determination Reached 0.58. There was a negative correlation between soil canopy reflectance and soil water content in the visible and near-infrared bands. In all PLSR inversion models with different soil moisture content constructed by different transform forms of cotton canopy hyperspectral data, , The predicted RPDs of water content in 0 ~ 10 cm soil layer of 0 ~ 30 cm soil layer and logarithm model with reflectivity logarithm were all above 2.0 with good logarithm Ability, the prediction of the remaining models is not satisfactory.