利用数字土壤制图技术评价森林立地质量

目的]为了提升森林立地质量评价的精准性,探讨利用数字土壤制图技术对森林立地质量进行评价,助力精准林业的发展.方法]以济源南山林场为研究区,以地形因子为预测因子,运用模糊C均值聚类方法(FCM算法)对立地评价所需的主要土壤属性进行预测制图,并在利用遥感影像数据获取林地其他立地环境因子分布图的基础上,应用灰色关联度法对...

Evaluation of Forest Site Quality Using Digital Soil Mapping

  Objective  In order to improve the accuracy of forest site quality evaluation and help the development of precision forestry.  Method  This study takes Jiyuan Nanshan Forest Farm as the study area, takes the topographic factor as the prediction factor, uses the fuzzy c-means clustering method (FCM) to predict and map the main soil attributes required for site evaluation, and applies the grey correlation method to comprehensively evaluate the forest site quality on the basis of obtaining the distribution map of other site environmental factors by using remote sensing image data.  Result  The results showed that the forest site quality grade was mainly grade 4, and the forest land area rated as grade 4 accounts for 54.38% of the total area, followed by grade 3, accounting for 26.91% . The forest land areas of grade 1, grade 2 and grade 5 were small, accounting for 5.27%, 8.96% and 4.48% , respectively.  Conclusion  The results showed that using the digital soil mapping technology based on FCM method could obtain a high-precision soil attribute distribution map with fewer sampling points, provide relatively rich soil spatial information for forest site quality evaluation, and is a new way for evaluating forest site quality.