景谷县森林蓄积量遥感估测及其动态变化分析

以云南省景谷县为研究区,基于Landsat5和Landsat8遥感数据,利用2012年和2017年两期全国森林资源连续清查实地调查数据,建立多元逐步回归和随机森林模型对景谷县森林蓄积量进行遥感估测对比研究。结果显示:综合建模精度来看,随机森林法在相同样地数量条件下具有更好的估测效果;从估测结果与林地保护利用规划和林地变更数据结果相比较,随机森林法估测值接近真实值,估测精度较高。

Remote Sensing Estimation and Dynamic Change Analysis of Forest Volume in Jinggu County

The multiple stepwise regression and random forest models were established to study the remote sensing estimation and dynamic change of forest volume in Jinggu County of Yunnan Province based on the data of Landsat5 and Landsat8 and the continuous forest inventory in 2012 and 2017.The results showed that in terms of comprehensive modeling accuracy,the estimation effect of random forest method was better under the same condition;compared with the results of the second adjustment,the estimated value of the random forest method was closer to the real value,which showed that the estimation accuracy of the model was higher.