Application of UAV Aerial Photo Data in Forest Information Extraction

doi:10.13466/j.cnki.lyzygl.2021.03.025

Abstract

Abstract:

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

CLC Number:

S771.8
TP75

SUN Yujiang, LI Fengtao, CHEN Xiangqin, ZHANG Lei, YANG Ning, ZHENG Da. Application of UAV Aerial Photo Data in Forest Information Extraction[J]. FOREST RESOURCES WANAGEMENT, 2021, (3): 160-164.

Figures/Tables 7

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区域名称	面积/hm²	数据提取		实际核查		误差率/%
区域名称	面积/hm²	提取数量/株	减少密度/(株/hm²)	砍伐数量/株	减少密度/(株/hm²)	误差率/%
区域1	0.0427	87	2039	90	2109	3.33
区域2	0.0160	33	2063	35	2188	5.71
区域3	0.0080	17	2125	15	1875	6.67
区域4	0.0127	26	2053	30	2368	13.30
区域5	0.0113	23	2029	25	2206	8.00
区域6	0.0140	20	1429	22	1571	9.09
平均值	0.0174	34.33	1956.20	36.17	2052.93	7.68