Forest and Grassland Resources Research >
Application of UAV Aerial Photo Data in Forest Information Extraction
Received date: 2021-03-19
Revised date: 2021-04-14
Online published: 2021-08-04
In this study,the UAV images of pine forest in Shazikou Street,Laoshan District,Qingdao City,Shandong Province were captured in the spring and autumn of 2020.The optimal scale for the segmentation of DOM images was confirmed with ESP auxiliary tools.Decision trees for identifying the changing area were constructed using fuzzy classification.The watershed algorithm was used to rapidly extract the changes in the number of living trees in the pine forest.The results showed that the number of living trees decreased by 205 in 6 locations of the study area.Based on field surveys,217 trees were reduced,and the accuracy for detecting the changes of living trees was 92.3%.These results demonstrated that high-resolution UAV images could facilitate the rapid and accurate monitor of changes of trees in forests,thereby having great potential for forestry resource investigation,pinewood nematode disease monitoring and disaster assessment,especially for areas with high altitude and dangerous road,it can replace manual survey.
Key words： UAV; segmentation scale; decision tree; watershed algorithm; information extraction
Yujiang SUN , Fengtao LI , Xiangqin CHEN , Lei ZHANG , Ning YANG , Da ZHENG . Application of UAV Aerial Photo Data in Forest Information Extraction[J]. Forest and Grassland Resources Research, 2021 , 0(3) : 160 -164 . DOI: 10.13466/j.cnki.lyzygl.2021.03.025
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