Application of UAV Remote Sensing in Measuring Canopy

doi:10.13466/j.cnki.lyzygl.2019.01.013

Abstract

Abstract:

UAV remote sensing technology provides a fast measurement method for forest crown acquisition.Taking the Dongtai Forest Farm as the research area,we manually measured the single-wood crown amplitude of the poplar plantation plot,used the UAV remote sensing technology aerial survey to obtain the high-definition image map corresponding to the poplar plot and used Agisoft PhotoScan software to sample the image.The splicing modeling was carried out,and the amplitude of the single-wood crown of the sample was quickly extracted by using ENVI software.The crown amplitude values obtained by the two methods were compared and fitted to obtain a linear regression model.The correlation coefficient of the two was R=0.89,the root mean square error.RMSE=0.60,relative error RE%=7.93%,the model fitting effect is better.The results show that it is feasible to measure the single-wood crown by the remote sensing technology of the drone,and the estimation accuracy is high.Compared with the manual field measurement,the cost is lower,the time is shorter,and the flexibility is higher.Certain work advantages are worthy of being widely promoted.

Key words: crown measurement, UAV Remote Sensing, Linear model, precision analysis, Dongtai Forest Farm

CLC Number:

TP79

QIAO Zhengnian, MA Jun, XU Yannan. Application of UAV Remote Sensing in Measuring Canopy[J]. FOREST RESOURCES WANAGEMENT, 2019, (1): 78-84.

Figures/Tables 12

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序号	人工实地调查值			无人机目视解译值
序号	东西	南北	平均	东西	南北	平均
1	8.10	11.70	9.90	7.30	10.10	8.70
2	10.60	7.30	8.95	7.80	7.40	7.60
3	10.50	7.50	9.00	10.80	8.20	9.50
4	11.20	5.70	8.45	11.90	6.40	9.15
5	4.40	7.30	5.85	5.90	8.40	7.15
6	8.80	5.80	7.30	6.00	6.50	6.25
7	11.80	7.80	9.80	11.30	7.60	9.45
8	5.10	1.60	3.35	4.60	4.50	4.55
?	?	?	?	?	?	?
206	6.30	6.10	6.20	7.10	6.10	6.60
207	6.50	5.10	5.80	8.00	6.20	7.10
208	4.80	5.60	5.20	5.20	5.20	5.20
209	6.10	5.20	5.65	5.80	5.20	5.50
210	4.60	5.30	4.95	5.10	6.10	5.60
211	5.10	5.90	5.50	7.90	5.80	6.85
212	5.30	6.60	5.95	7.80	5.90	6.85
213	5.20	3.50	4.35	5.20	4.10	4.65