FOREST RESOURCES WANAGEMENT ›› 2020›› Issue (5): 144-151.doi: 10.13466/j.cnki.lyzygl.2020.05.021
WANG Juan1,2(), CHEN Yongfu2, CHEN Qiao2, LI Huayu1,2, ZHANG Chao1()
Received:
2020-07-16
Revised:
2020-09-06
Online:
2020-10-28
Published:
2020-11-30
Contact:
ZHANG Chao
E-mail:635962936@qq.com;zhchgis@126.com
CLC Number:
WANG Juan, CHEN Yongfu, CHEN Qiao, LI Huayu, ZHANG Chao. Research on Forest Parameter Information Extraction Progress Driven by UAV Remote Sensing Technology[J]. FOREST RESOURCES WANAGEMENT, 2020, (5): 144-151.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.lyzygl.com.cn/EN/10.13466/j.cnki.lyzygl.2020.05.021
[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.
doi: 10.3390/rs9111149 |
[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.
doi: 10.3390/f4040922 |
[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.
doi: 10.1016/j.jenvman.2014.01.006 |
[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.
doi: 10.1109/TGRS.2008.2010457 |
[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.
doi: 10.3390/rs10010089 |
[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.
doi: 10.3390/rs5052164 |
[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.
doi: 10.1080/01431161.2016.1264028 |
[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.
doi: 10.1016/j.rse.2013.04.005 |
[23] |
Stefano P, ϕrka Hans, Terje G, et al. Inventory of Small Forest Areas Using an Unmanned Aerial System[J]. Remote Sensing, 2015,7(8):9632-9654.
doi: 10.3390/rs70809632 |
[24] | Karpina M, Jarzᶏbek-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.
doi: 10.1016/j.isprsjprs.2010.08.002 |
[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.
doi: 10.1109/TGRS.2014.2315649 |
[28] |
Lin Y, Hyyppä J, Jaakkola A. Mini-UAV-borne LIDAR for fine-scale mapping[J]. IEEE Geoscience and Remote Sensing Letters, 2011,8(3):426-430.
doi: 10.1109/LGRS.2010.2079913 |
[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.
doi: 10.3390/rs4061519 |
[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.
doi: 10.17521/cjpe.2015.0066 |
[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.
doi: 10.3390/f6113882 |
[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.
doi: 10.1016/j.biocon.2015.03.031 |
[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.
doi: 10.1080/01431161.2016.1219425 |
[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. |
[1] | ZHU Zan, WANG Yongjun, WANG Jianqi, XU Yulan, QIU Xinqi, WAN Xi. Construction of a Carbon Storage Measurement Model for Eucalyptus Canopy in Guangxi Based on Drone Oblique Photography [J]. Forest and Grassland Resources Research, 2024, 0(1): 88-94. |
[2] | XIE Xiansheng, SU Hongxin, YANG Yuanzheng, LI Chunhai, LU Feng, LUO Weisheng, XU Zhanyong. Estimation of Forest Parameters of Guangxi Eucalyptus Plantation Based on Terrestrial Laser Scanning [J]. FOREST RESOURCES WANAGEMENT, 2022, 0(2): 100-108. |
[3] | QIU Shiping, WEI Mingxin, MA Yisha. Study on Automatic Extraction of Fast-Growing Eucalyptus Stand Parameters Based on UAV Remote Sensing Images [J]. FOREST RESOURCES WANAGEMENT, 2021, 0(3): 114-119. |
[4] | 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, 0(3): 160-164. |
[5] | Zhongming JIN, Shanshan CAO, Lei WANG, Wei SUN. Study on Extraction of Tree Crown Information from UAV Visible Light Image of Piceaschrenkiana var.tianschanica Forest [J]. FOREST RESOURCES WANAGEMENT, 2020, 0(1): 125-135. |
[6] | LU Xianjian, HUANG Yuhui, YAN Hongbo, ZHOU Lv, WU Chenlong, ZHOU Bin, LUO Le. Study on Rapid Extraction of Eucalyptus Vegetation Information in Guangxi Based on GEE [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(5): 52-60. |
[7] | WANG Lin, LI Mingyang, FANG Zihan, LI Chao, QIAN Chunhua, XU Zhenyu. Plantation Forest Parameter Estimation Based on UAV Data [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(5): 61-67. |
[8] | LIU Qianfei, LONG Xiaomin, DENG Zhongjian, YE Jiangxia. Application of Unmanned Aerial Vehicle in Quick Construction of Visual Scenes for National Forest Parks [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(2): 116-122. |
[9] | ZHU Yali, ZHANG Huifang, ZHANG Jinglu, DI lixiati·Baoerhan. Establishment of the Model for Estimating Aboveground Biomass of Populus euphratica Based on UAV Remote Sensing [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(2): 80-87. |
[10] | QIAO Zhengnian, MA Jun, XU Yannan. Application of UAV Remote Sensing in Measuring Canopy [J]. FOREST RESOURCES WANAGEMENT, 2019, 0(1): 78-84. |
[11] | 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, 0(4): 82-88. |
[12] | ZHOU Mei, LI Chungan, DAI Huabing. Mapping of Young Mangrove Forest by Using Remote Sensing—A Case Study in the Maoweihai Bay in Guangxi [J]. FOREST RESOURCES WANAGEMENT, 2016, 0(6): 26-30. |
[13] | DUAN Zhugeng, XIAO Huashun. Review of Methods for Forest Parameter Estimation with LiDAR [J]. FOREST RESOURCES WANAGEMENT, 2011, 0(4): 117-121. |
[14] | LIU Xiaoshuang, HUANG Jianwen, JU Hongbo. Study on Extraction of Forest Parameters by High Spatial Resolution Remote Sensing [J]. FOREST RESOURCES WANAGEMENT, 2009, 0(2): 111-117. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||