基于归一化光谱指数的土壤有机质含量空间分布状况研究

Spatial Distribution of Soil Organic Matter Content Based on Hyperspectral Index NDI

  • 摘要: 【目的】研究土壤主要养分含量特征信息的光谱预测值,使其更具直观性、空间性及科学性,为大尺度对农田的土壤养分空间分布状况获取、评价与科学管理提供依据。【方法】利用ArcGIS 9.3的普通克里格(Ordinary Kriging)插值方法,对小面积及大尺度试验区的土壤样本点进行有机质反演插值填图,并将实验室化学测定土壤有机质含量的实测值与其高光谱模型预测值进行Kriging插值填图比较,分析土壤有机质含量的实测值与预测值的空间分布状况差异。【结果】从小面积试验区到大尺度条田地块插值后的空间分布情况来看,土壤有机质含量的光谱预测值(基于归一化光谱指数NDI495,485预测)与实测值之间具有较好的相似性,预测效果较好。【结论】通过土壤有机质含量信息状况的空间分布填图来确定农田分区基本管理单元的适宜尺度,为实施大区域农田养分分区精量管理的划分,提出科学的平衡施肥方案,为适合新疆及兵团特色的精准农业管理、土壤养分快速探测、精量施肥等技术提供技术理论支持。

     

    Abstract: 【Objective】 To make the spectral prediction value of the main nutrient content information of the soil more intuitive, spatial and scientific, the spatial distribution of soil nutrients in farmland can be obtained, evaluated and scientifically managed in the future. 【Method】In this paper, the ordinary Kriging Krigingof ArcGIS 9.3 was used. The soil sample points in small area and large scale experimental area were interpolated by organic matter inversion method. The soil organic matter content measured by laboratory chemistry was compared with the predicted value of hyperspectral model by Kriging interpolation mapping. The difference of spatial distribution between the measured value and the predicted value of soil organic matter content was further analyzed.【Result】According to the spatial distribution of soil organic matter content after interpolation from small area test area to large scale strip plot, there is a good similarity between the spectral prediction value (based on normalized spectral index NDI 495,485 prediction) and the measured value of soil organic matter content, and the effect of prediction was better.【Conclusion】The results showed that the suitable scale of the basic management unit of farmland zoning could be determined by mapping the spatial distribution of soil organic matter content information, and the division of precision management of farmland nutrient zoning in the future would be carried out. The scientific balanced fertilization scheme is put forward, which provides technical and theoretical support for the exploration of precision agriculture management, rapid soil nutrient detection and precision fertilization, which are suitable for Xinjiang and Xinjiang Production and Construction Coprs in the future.

     

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