基于无人机遥感的森林参数信息提取研究进展
收稿日期: 2020-07-16
修回日期: 2020-09-06
网络出版日期: 2020-11-30
基金资助
中央级公益性科研院所基本科研业务费专项资金项目“经营单位水平森林资源高效监测技术研究”(CAFYBB-2018SZ008)
Research on Forest Parameter Information Extraction Progress Driven by UAV Remote Sensing Technology
Received date: 2020-07-16
Revised date: 2020-09-06
Online published: 2020-11-30
王娟 , 陈永富 , 陈巧 , 李华玉 , 张超 . 基于无人机遥感的森林参数信息提取研究进展[J]. 林草资源研究, 2020 , 0(5) : 144 -151 . DOI: 10.13466/j.cnki.lyzygl.2020.05.021
UAV driven remote sensing technology has become a useful supplement to satellite and helicopter based remote sensing thanks to its advantages of flexibility,timeliness and low cost,and has gradually become a new technical means for forest resources investigation and monitoring.The paper introduces the advantages in information extraction of forest parameters by using UAV,and systematically introduces the types and the application of sensors carried by UAV. The study expounds the relevant research progress of UAV based remote sensing to obtain forest parameters,such as crown width,tree height,biomass and volume. Finally,it discusses disadvantages of UAV in the extraction of forest parameter information,and also looks into the application of extracting forest parameter with UAV.
Key words: UAV remote sensing; forest parameters; sensors; information extraction
| [1] | 郭庆华, 吴芳芳, 胡天宇, 等. 无人机在生物多样性遥感监测中的应用现状与展望[J]. 生物多样性, 2016,24(11):1267-1278. |
| [2] | Carlos B, John H, James B, et al. Assessment of in-season cotton nitrogen status and lint yield prediction from unmanned aerial system imagery[J]. Remote Sensing, 2017,9(11):1149. |
| [3] | Jonathan L, Marc P D, Stéphanie B, et al. A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery[J]. Forests, 2013,4(4):922-944. |
| [4] | Diazvarela R A, Zarcotejada P J, Angileri V, et al. Automatic identification of agricultural terraces through object-oriented analysis of very high resolution DSMs and multispectral imagery obtained from an unmanned aerial vehicle[J]. Journal of Environmental Management, 2014,134(4):117-126. |
| [5] | Berni J A J, Zarco-tejada P J, Suarezi L, et al. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009,47(3):722-738. |
| [6] | Cao Jingjing, Leng Wanchun, Liu Kai, et al. Object-based mangrove species classification using Unmanned Aerial Vehicle hyperspectral images and digital surface models[J]. Remote Sensing, 2018,10(1):89-109. |
| [7] | Bendig J, Bolten A, Bareth G. Introducing a low-cost mini-UAV for thermal-and multispectral-imaging.International Archives of the Photogrammetry[J]. Remote Sensing and Spatial Information Sciences, 2012,39, 345-349. |
| [8] | Mathews A J, Jensen J. Visualizin and quantifying vineyard canopy LAI using an unmanned aerial vehicle(UAV)collected high density structure from motion point cloud[J]. Remote Sensing, 2013,5(5):2164-2183. |
| [9] | Panagiotidis D, Abdollahnejad A, Peter Surovy, et al. Determining tree height and crown diameter from high-resolution UAV imagery[J]. International Journal of Remote Sensing, 2016,38(8/9/10):2392-2410. |
| [10] | 蔡文峰, 李凤日. 基于VirtuoZo系统对林木冠幅信息的提取[J]. 森林工程, 2010,26(2):4-7. |
| [11] | 吴艳双, 张晓丽. 结合多尺度纹理特征的高光谱影像面向对象树种分类[J]. 北京林业大学学报, 2020,42(6):91-101. |
| [12] | 李赟, 温小荣, 佘光辉, 等. 基于UAV高分影像的杨树冠幅提取及相关性研究[J]. 林业科学研究, 2017,30(4):653-658. |
| [13] | 王枚梅, 林家元, 林沂, 等. 基于无人机可见光影像的亚高山针叶林树冠参数信息自动提取[J]. 林业资源管理, 2017(4):82-88. |
| [14] | 孙钊, 潘磊, 孙玉军. 基于无人机影像的高郁闭度杉木纯林树冠参数提取[J/OL]. 北京林业大学学报, (2020-05-13)[2020-06-30]. http://kns.cnki.net/kcms/d etail/11.1932.S.20200513.0909.00 1.html. |
| [15] | 韦雪花. 轻小型航空遥感森林几何参数提取研究[D]. 北京:北京林业大学, 2013. |
| [16] | 李丹, 张俊杰, 赵梦溪. 基于FCM和分水岭算法的无人机影像中林分因子提取[J]. 林业科学, 2019,55(5):180-187. |
| [17] | Mu Y, Fujii Y, Takata D, et al. Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle[J]. Horticulture Researc, 2018,5(1):74-84. |
| [18] | 全迎, 李明泽, 甄贞, 等. 运用无人机激光雷达数据提取落叶松树冠特征因子及树冠轮廓模拟[J]. 东北林业大学学报, 2019,47(11):52-58. |
| [19] | 谢巧雅, 余坤勇, 邓洋波, 等. 杉木人工林冠层高度无人机遥感估测[J]. 浙江农林大学学报, 2019,36(2):335-342. |
| [20] | 杨坤, 赵艳玲, 张建勇, 等. 利用无人机高分辨率影像进行树木高度提取[J]. 北京林业大学学报, 2017,39(8):17-23. |
| [21] | 刘江俊, 高海力, 方陆明, 等. 基于无人机影像的树顶点和树高提取及其影响因素分析[J]. 林业资源管理, 2019(4):107-116. |
| [22] | Dandois J P, Ellise E C. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision[J]. Remote Sensing of Environment, 2013,136(5):259-276. |
| [23] | Stefano P, ?rka Hans, Terje G, et al. Inventory of Small Forest Areas Using an Unmanned Aerial System[J]. Remote Sensing, 2015,7(8):9632-9654. |
| [24] | Karpina M, Jarz?bek-Rychard M, Tymków P, et al. UAV-based automatic tree growth measurement for biomass estimation[R]. International Society for Photogrammetryand Remote Sensing.XLI-B8, 2016, 685-688. |
| [25] | 杨凡, 杨贵军, 李振海, 等. 低矮植被的无人机激光雷达测高精度分析[J]. 测绘科学, 2017,42(9):151-157. |
| [26] | Jaakkola A, Hyyppae J, Kukko A, et al. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2010,65(6):514-522. |
| [27] | Wallace L, Lucieer A, Watson C S. Evaluating Tree Detection and Segmentation Routines on Very High Resolution UAV LiDAR Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014,52(12):7619-7628. |
| [28] | Lin Y, Hyypp? J, Jaakkola A. Mini-UAV-borne LIDAR for fine-scale mapping[J]. IEEE Geoscience and Remote Sensing Letters, 2011,8(3):426-430. |
| [29] | Wallace L, Lucieer A, Watson C S, et al. Development of a UAV-LiDAR system with application to forest inventory[J]. Remote Sensing, 2012,4(6):1519-1543. |
| [30] | 张吴明, 李丹, 陈一铭, 等. 联合地基激光雷达与无人机摄影测量技术提取树高研究[J]. 北京师范大学学报:自然科学版, 2018,54(6):764-771. |
| [31] | 许子乾, 曹林, 阮宏华, 等. 集成高分辨率UAV影像与激光雷达点云的亚热带森林林分特征反演[J]. 植物生态学报, 2015,39(7):694-703. |
| [32] | 欧光龙. 气候变化背景下思茅松天然林生物量模型构建[D]. 哈尔滨:东北林业大学, 2014. |
| [33] | 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. |
| [34] | 朱雅丽, 张绘芳, 张景路, 等. 基于无人机遥感的胡杨地上生物量估测模型构建[J]. 林业资源管理, 2019(2):80-87. |
| [35] | Ota T, Ogawa M, Shimizu K, et al. Aboveground biomass estimation using structure from motion approach with aerial photographys in a seasonal tropical forest[J]. Forests, 2015,6(11):3882-3898. |
| [36] | Zahawi R A, Dandois J P, Holl K D, et al. Using lightweight unmanned aerial vehicles to monitor tropical forest recovery[J]. Biological Conservation, 2015,186:287-295. |
| [37] | 李赟. 基于UAV高分影像的林木冠幅提取与蓄积量估测研究[D]. 南京:南京林业大学, 2017. |
| [38] | 陈忠明. 基于无人机影像的杉木蓄积量反演研究[D]. 长沙:中南林业科技大学, 2019. |
| [39] | 李亚东, 曹明兰, 李长青, 等. 无人机森林航摄影像三维点云估测林分蓄积量研究[J]. 中南林业科技大学学报, 2019,39(3):56-60. |
| [40] | Goodbody T R H, Coops N C, Crawford P, et al. Updating residual stem volume estimates using ALS and UAV-acquired stereo-photogrammetric point clouds[J]. International Journal of Remote Sensing, 2017,38(8/9/10):2938-2953. |
| [41] | 解宇阳, 王彬, 姚扬, 等. 基于无人机激光雷达遥感的亚热带常绿阔叶林群落垂直结构分析[J]. 生态学报, 2020,40(3):940-951. |
| [42] | 林志玮, 丁启禄, 黄嘉航, 等. 基于DenseNet的无人机光学图像树种分类研究[J]. 遥感技术与应用, 2019,34(4):704-711. |
| [43] | 刘清旺, 李世明, 李增元, 等. 无人机激光雷达与摄影测量林业应用研究进展[J]. 林业科学, 2017,53(7):134-148. |
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