为了解决盗伐林木材积测定困难的问题,以普通数码相机或3D数码相机为信息采集手段,采用现代近景摄影测量技术,通过计算机相关程序进行图像处理,提取立木测树因子数据信息,编写地径-胸径拟合程序,利用已有的地方各树种的一元材积数学模型库进行立木胸径、材积的预测,并以北京地区25株速生杨的地径、胸径、材积的摄影测量值与外业实测值为例对模型进行验证。结果表明:北京市速生杨一元材积模型为V=0.000 065 678D1.31.941 06[22.126×(1-e-0.072 04D1.3)1.373 8]0.849 29,利用数字摄影测量方法进行盗伐林木材积的计算,所获取的立木地径、胸径、材积参数与实际外业测量参数平均误差分别为1.94%、3.49%、6.82%,以该方法能够获取较为准确的地径、胸径和材积数据。
Abstract
In order to solve the difficult problem of forest logging volume determination,taking ordinary digital camera(or 3D digital camera)as its information acquisition means, this research processes the images taken from modern close range photogrammetry technologies with related computer software, extracts the information of standing tree measurement factors and compiles a basal diameter-DBH fitting software based on the existing local single entry volume mathematical model to predict breast diameter and timber volume and other related information such as tree species, DBH, material values and uses 25 strains of poplar basal diameter, DBH and volume comparing with the value measured outside as thesample to verify the model.The results showed that the poplar unitary volume model of in Beijing is V=0.000 065 678D1.31.941 06[22.126·(1-e-0.072 04D1.3)1.373 8]0.849 29,there is almost no difference between the result calculated from the close range photogrammetry technologies and the value measured outside,the average error is 1.94%,3.49%,6.82%. This method can obtain the accurate value of basal diameter,DBH and volume.
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基金
收稿日期:2014-08-10 修回日期:2015-01-20
基金项目:国家自然科学基金项目(41371001); “十二五”国家科技支撑计划(2012BAH34B01)
第一作者:于景鑫,硕士生。*通信作者:冯仲科,教授。E-mail: fengzhongke@126.com。
引文格式:于景鑫,刘金成,冯仲科. 森林盗伐的数字摄影测量方法及应用[J]. 南京林业大学学报:自然科学版,2015,39(5):87-92.
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