Forest and Grassland Resources Research >
Study on Extraction of Tree Crown Information from UAV Visible Light Image of Piceaschrenkiana var.tianschanica Forest
Received date: 2019-10-23
Revised date: 2019-12-04
Online published: 2020-05-18
The extraction method of forest tree crown parameter information obtained by high-precision light and miniature unmanned aerial vehicle(UAV)is an important basis for forest resource monitoring and ecological function evaluation.Taking the Piceaschrenkiana var.tianschanica,the dominant tree species in the mountainous forests of Xinjiang,as the research object.Collecting and preprocessing remote sensing images of UAV with the background of snow in the Nanshan Internship Forest Farm.The three methods(object-based method with spectral feature space,object-based method with spectral+texture as feature space and random forest method)were compared and analyzed to extract the accuracy of forest tree crown parameter information of Piceaschrenkiana var.tianschanica forest.The results show:the accuracy of the canopy density to be extracted by the three methods is higher than 93%,and object-based method with spectral+texture as feature space is the best,its accuracy reaches 93.73%.The R 2 of the visual interpretation result and the single tree crown area to be extracted by the three methods aremore than 0.91.Although the results to be extracted by random forest method are closest to the visual interpretation value,the object-based method obtains the complete single tree crown closure curve,so the object-based method with spectral+texture as the feature space is the best method for extracting the single tree crown area.The optimal segmentation scale for extracting canopy density and single tree crown area using object-based method is 29,and adding texture features reduces the accuracy of canopy density extraction by 0.66%,but optimizes the extraction effect of single tree crown area.Therefore,the UAV image is an effective way to extracting theforest tree crown parameter information accurately,quickly and automatically,and optimal extraction method can be selected according to different crown parameter information.
Zhongming JIN , Shanshan CAO , Lei WANG , Wei SUN . Study on Extraction of Tree Crown Information from UAV Visible Light Image of Piceaschrenkiana var.tianschanica Forest[J]. Forest and Grassland Resources Research, 2020 , 0(1) : 125 -135 . DOI: 10.13466/j.cnki.lyzygl.2020.01.016
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