Subalpine Coniferous Forest Crown Information Automatic Extraction Based on Optical UAV Remote Sensing Imagery

doi:10.13466/j.cnki.lyzygl.2017.04.013

Abstract

Abstract:

As the main part for trees to obtain light energy and convert energy,crown plays an important role in monitoring tree growth,estimating tree biomass and so on.Timely and accurate acquisition of crown parameter information can help to study tree growth status and forest dynamic changes,and improve forest management effectively.With superiorities of low cost,safety,flexible take-off and landing,ability to fly under cloud,hyper spatial image resolution,UAV (Unmanned Aerial Vehicle) remote sensing is very suitable for obtaining remote sensing imagery of crown of subalpine coniferous forest.We extracted tree crowns and crown parameters such as the transmeridional crown,north-south crown,number of trees per unit area,and density of subalpine coniferous forest in one region of Sichuan Gongga Mountains from fixed-wing UAV images based on object-based image analysis method.The visual interpretation result was taken as reference data to verify the precision.The results showed that extraction accuracies of transmeridional crown,north-south crown,number of trees per unit area,density were 0.77,0.86,0.99 and 0.92 respectively.This result indicated high effectiveness and reliability of forest crown information automatic extraction based on optical UAV remote imagery,and UAV remote sensing can meet the demands of evaluating subalpine coniferous forest growth status and monitoring dynamic changes.

Key words: UAV remote sensing, subalpine coniferous forest, crown parameters, object-based

CLC Number:

S757.2
TP79

WANG Meimei, LIN Jiayuan, LIN Yi, LI Yi. Subalpine Coniferous Forest Crown Information Automatic Extraction Based on Optical UAV Remote Sensing Imagery[J]. FOREST RESOURCES WANAGEMENT, 2017, (4): 82-88.

Figures/Tables 8

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Tab.1

Tab.2

References 20

[1]	覃先林, 李增元, 易浩若. 高空间分辨率卫星遥感影像树冠信息提取方法研究[J]. 遥感技术与应用, 2005,20(2):228-232.
[2]	林波, 刘庆. 四种亚高山针叶林树种的表型可塑性对不同光照强度的响应[J]. 生态学报, 2008,28(10):4665-4675.
[3]	Adam C, Vincent G, Everett A. Unmanned Aircraft Systems in Remote Sensing and Scientific Research:Classification and Considerations of Use[J]. Remote Sensing, 2012,4(6):1671-1692. doi: 10.3390/rs4061671
[4]	李德仁, 李明. 无人机遥感系统的研究进展与应用前景[J]. 武汉大学学报:信息科学版, 2014,39(5):505-513.
[5]	樊仲谋. 摄影测树原理与技术方法研究[D]. 北京:北京林业大学, 2015.
[6]	吕晓君, 王君, 喻卫国, 等. 无人机监测林业有害生物初探[J]. 湖北林业科技, 2016,45(4):30-33.
[7]	Hernández J G, Ferreiro E G, Sarmento A, et al. Using high resolution UAV imagery to estimate tree variables in Pinus pinea plantation in Portugal[J]. Forest Systems, 2016, 25(2):eSC09. doi: 10.5424/fs/2016252-08895
[8]	Panagiotidis D, Abdollahnejad A, Surový P, et al. Determining tree height and crown diameter from high-resolution UAV imagery[J]. International Journal of Remote Sensing, 2017,38(8-10):2392-2410. doi: 10.1080/01431161.2016.1264028
[9]	罗辑, 杨忠, 杨清伟. 贡嘎山森林生物量和生产力的研究[J]. 植物生态学报, 2000,24(2):191-196.
[10]	冉飞, 梁一鸣, 杨燕, 等. 贡嘎山雅家埂峨眉冷杉林线种群的时空动态[J]. 生态学报, 2014,34(23):6872-6878. doi: 10.5846/stxb201311252809
[11]	崔志祥, 申亚鹏, 马廷刚. PhotoScan近景影像数字三维建模中影像摄影方式的研究[J]. 测绘技术装备, 2016,18(4):10-12.
[12]	唐天琦. 面向对象的高分辨率遥感影像植被信息提取研究[D]. 长春:吉林大学, 2015.
[13]	面向对象影像分析中的尺度问题研究[D]. 北京:中国科学院遥感应用研究所, 2003.
[14]	张俊, 朱国龙, 李妍. 面向对象高分辨率影像信息提取中的尺度效应及最优尺度研究[J]. 测绘科学, 2011,36(2):107-109.
[15]	Drǎguţ L, Tiede D, Levick S R. ESP:a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data[J]. International Journal of Geographical Information Science, 2010,24(6):859-871. doi: 10.1080/13658810903174803
[16]	周春艳, 王萍, 张振勇, 等. 基于面向对象信息提取技术的城市用地分类[J]. 遥感技术与应用, 2008,23(1):31-35.
[17]	李莉. 面向对象的高分辨率遥感影像信息提取研究[D]. 成都:成都理工大学, 2012.
[18]	易凤佳, 李仁东, 常变蓉. 基于面向对象的长株潭地区遥感影像分类方法[J]. 华中师范大学学报:自科版, 2014,48(6):910-916.
[19]	何游云. 无人机遥感估测林木地上生物量的研究[D]. 北京:北京林业大学, 2016.
[20]	周艳飞, 张绘芳, 李霞, 等. 基于高分辨遥感数据的胡杨与柽柳树冠提取[J]. 遥感技术与应用, 2015,30(3):510-517. doi: 10.11873/j.issn.1004-0323.2015.3.0510

变量	单元面积树木数	郁闭度
提取值	0.0074	0.3138
参考值	0.0073	0.2896
精度	0.99	0.92

树冠编号	提取值/m			参考值/m			精度
树冠编号	南北冠幅	东西冠幅	均值	南北冠幅	东西冠幅	均值	南北冠幅	东西冠幅	均值
1	2.44	2.23	2.34	2.44	2.01	2.23	1.00	0.90	0.95
2	2.66	2.68	2.67	2.44	2.31	2.38	0.92	0.86	0.88
3	3.02	3.22	3.12	3.02	2.98	3.00	1.00	0.93	0.96
4	2.22	2.19	2.21	2.44	1.86	2.15	0.91	0.85	0.97
5	3.84	3.45	3.64	3.36	3.03	3.20	0.88	0.88	0.88
6	3.87	3.65	3.76	3.66	3.07	3.36	0.95	0.84	0.90
7	2.98	3.28	3.13	2.40	3.01	2.70	0.80	0.92	0.86
8	3.02	3.03	3.02	3.35	3.52	3.43	0.90	0.86	0.88
9	3.66	4.16	3.91	3.16	3.44	3.30	0.86	0.83	0.84
10	3.02	3.02	3.02	3.02	3.02	3.02	1.00	1.00	1.00
11	4.89	4.15	4.52	4.47	3.44	3.96	0.91	0.83	0.87
12	5.83	5.18	5.51	4.67	4.15	4.41	0.80	0.80	0.80
13	3.65	4.03	3.84	4.00	4.04	4.02	0.91	1.00	0.96
14	4.83	4.58	4.71	4.47	4.05	4.26	0.93	0.88	0.91
15	4.59	4.15	4.37	4.59	4.13	4.36	1.00	1.00	0.99
16	3.03	3.18	3.11	3.11	3.19	3.15	0.97	1.00	0.99
17	3.24	3.64	3.44	3.23	3.33	3.28	1.00	0.91	0.95
18	4.48	4.18	4.33	3.96	4.17	4.06	0.88	1.00	0.94
19	4.26	4.35	4.30	3.66	3.32	3.49	0.86	0.76	0.81
20	3.89	3.33	3.61	3.89	3.24	3.56	1.00	0.97	0.99