土壤重金属污染对森林郁闭度遥感估算数据的影响分析研究

Analysis on Influence of Soil Heavy Metal Pollution on Remote Sensing Estimation Data of Forest Canopy Density

为了研究土壤重金属污染对森林郁闭度遥感估算数据产生的影响设计影响分析实验,选择适宜的森林作为实验环境,并分析实验环境的地理位置、气候以及林业资源。准备实验材料,并将重金属污染源萃取调制成为溶液状态,与样本土壤充分搅拌投放到实验环境中。运用安装的遥感设备估算森林郁闭度,并检验不同土壤重金属污染环境下,郁闭度遥感估算数据的精度和准确率。通过检验得出影响分析实验的实验结论:相比较而言存在污染比不存在污染的估算误差高0.09,且土壤重金属污染程度越高,对森林郁闭度遥感估算数据的影响越大。

In order to study the impact of soil heavy metal pollution on remote sensing estimation data of forest canopy density,the impact analysis experiments were designed.Suitable forests were selected as the experimental environment,and the geographical location,climate and forestry resources of the experimental environment were analyzed.The study prepares the experimental materials,extract and prepare the heavy metal pollution sources into a solution state,mix them with the sample soil and put them into the experimental environment.The remote sensing equipment installed was used to estimate forest canopy density,and the accuracy and accuracy of remote sensing data were tested under different soil heavy metal pollution environment.The conclusion of the impact analysis experiment was drawn through testing:the estimation error of the presence of pollution was 0.09 higher than that of the absence of pollution,and the higher the degree of soil heavy metal pollution was,the greater the influence on the remote sensing estimation data of forest canopy density.