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有机质是土壤重要组成部分,是衡量土壤肥力的重要指标。对土壤有机质空间制图,不仅可以了解土壤质量动态变化,而且对土壤区域变异性研究具有重要意义。对现今土壤有机质预测性制图的主要方法,包括地统计学、土壤-景观关系理论和遥感反演三种方法,分别进行了阐述,对其优缺点进行分析比较,以此明确各方法的使用特点和运用环境,并对土壤预测性空间制图中存在的问题进行分析,展望了土壤有机质预测性制图未来的研究趋势,以此为精准农业的实施和农业的可持续发展,提供基本的信息及建议。
Organic matter is an important part of soil and is an important indicator of soil fertility. Mapping of soil organic matter space can not only understand the dynamic changes of soil quality, but also have important significance for the study of soil regional variability. The main methods of predictive mapping of soil organic matter today, including geostatistics, soil-landscape relationship theory and remote sensing inversion, are described respectively, and their advantages and disadvantages are analyzed and compared in order to clarify the characteristics of each method And use of the environment, and analysis of the problems in soil predictive space mapping, and the future research trends of predictive mapping of soil organic matter are forecasted, providing basic information and advice for the implementation of precision agriculture and the sustainable development of agriculture .