油松毛虫灾害遥感监测及其影响因子分析

发布时间：2018-12-06 08:54

【摘要】：辽宁西部大面积的油松(Pinus tabulaeformis)人工林长期受到油松毛虫(Dendrolimus tabulaeformis)的危害,通过遥感技术,可以及时、高效、精准地对此大面积灾害进行监测,并获知地形、气象因子对其的影响。本文利用遥感和地理信息系统(GIS)技术,使用TM、ETM+数据,通过近红外与红光波段反射率的比值RVI,对油松的受灾程度进行了有效监测。前人的研究发现:油松毛虫易在干燥、温暖的环境爆发,本文将监测分类结果与地形、气象数据叠加后,分析发现结果亦与油松毛虫的生物学特性相吻合,由此逆向证明了监测结果的可靠性。通过对影像灰度直方图的分析,发现近红外波段对轻度的虫害敏感;红光波段对重度的虫害敏感。对影响因子的分析发现:油松毛虫在阳坡,坡度缓的地区危害更剧烈;在日照时数长、降雨少、积温低的地区,油松的受灾程度更重。此结论为预测虫害爆发的概率提供了依据。本研究表明:在森林灾害的遥感工作中,利用监测对象的生物生态学特性,可以在实地调查数据不足,难以直接对监测结果进行评价的情况下,判断结果的可靠性。利用此方法,一定程度上可以减少调查的工作量,降低外业的难度。
[Abstract]:A large area of Pinus tabulaeformis (Pinus tabulaeformis) plantation in western Liaoning Province has long been endangered by the pine caterpillar (Dendrolimus tabulaeformis). Through remote sensing technology, the large-scale disaster can be monitored in time, efficiently and accurately, and the terrain can be obtained. The influence of meteorological factors on it. In this paper, the disaster degree of Pinus tabulaeformis is effectively monitored by using remote sensing and GIS (GIS) technology, using TM,ETM data and the ratio of reflectance of near infrared to red light band RVI,. Previous studies have found that Dendrolimus tabulaeformis is prone to erupt in dry and warm environments. In this paper, the results of monitoring and classification are superimposed with the topographical data, and the results are in agreement with the biological characteristics of Dendrolimus tabulaeformis. The reliability of the monitoring results is proved in reverse. By analyzing the gray histogram of the image, it is found that the near infrared band is sensitive to light pests, and the red band is sensitive to severe insect pests. The analysis of influencing factors showed that the damage of pine caterpillar was more severe in sunny slope where the slope was slow, and in areas with long sunshine hours, less rainfall and low accumulated temperature, the damage degree of Pinus tabulaeformis was more serious. This conclusion provides a basis for predicting the probability of pest outbreak. This study shows that in the remote sensing work of forest disasters, the reliability of the monitoring results can be judged by using the biological and ecological characteristics of the monitoring objects when the field survey data are insufficient and it is difficult to directly evaluate the monitoring results. Using this method, the workload of investigation can be reduced to some extent, and the difficulty of field work can be reduced.
【作者单位】：北京林业大学林学院精准林业北京市重点实验室;
【基金】：国家林业局林业公益性行业科研专项(编号:201404401)~~
【分类号】：TP79

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