无人机在林业中的应用及前景展望
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Application and future development of unmanned aerial vehicle in forestry
  • 作者:张军国 ; 闫浩 ; 胡春鹤 ; 李婷婷 ; 于明
  • 英文作者:ZHANG Junguo;YAN Hao;HU Chunhe;LI Tingting;YU Ming;School of Technology,Beijing Forestry University,Key Lab of State Forestry and Grassland Administration for Forestry Equipment and Automation;
  • 关键词:无人机 ; 林业 ; 森林病虫害遥感监测 ; 林业火灾监测 ; 林业资源调查
  • 英文关键词:unmanned aerial vehicle;;forestry;;pest and insect monitoring;;wild fire monitoring;;forestry resource investigation
  • 中文刊名:LKKF
  • 英文刊名:Journal of Forestry Engineering
  • 机构:北京林业大学工学院林业装备与自动化国家林业和草原局重点实验室;
  • 出版日期:2019-01-17
  • 出版单位:林业工程学报
  • 年:2019
  • 期:v.4;No.19
  • 基金:中央高校基本科研业务费专项资金项目(2016ZCQ08,BLX2016-05)
  • 语种:中文;
  • 页:LKKF201901003
  • 页数:9
  • CN:01
  • ISSN:32-1862/S
  • 分类号:15-23
摘要
利用无人机对林业进行信息监测是提升林业信息化和精准化的重要方向,同时也是实现精准林业目标的有力途径。相较于传统林业监测方式,无人机可以实时准确地获取多尺度、多时相、高分辨率的影像数据,提升林区作业的智能化水平,满足智慧林业建设的需求。利用无人机平台搭载多种光学信息采集设备,结合无人机遥感技术并辅以GPS精确定位技术可以高效地实现特征目标信息的收集工作。为了更好地促进无人机技术在林业领域的普及与应用,笔者对无人机技术在林业行业的应用现状及发展前景进行了梳理总结。首先介绍了林用无人机的有关概念、分类及平台优势,重点对当前无人机在林业行业主流应用的实践进行了总结,主要涉及林业病虫害遥感监测、林业火灾监测、野生动植物监测与识别、林业资源调查、林业精准植保以及林业执法等,进而分析了当前无人机在林业领域应用中面临的挑战,同时对林用无人机在续航能力及通讯范围有限、受环境影响大、监管机制不完善等主要问题进行了探讨,为促进无人机技术在林业领域深层次应用提供了参考。
        Unmanned aerial vehicle(UAV) has been utilized as a promising platform in various industries globally.The utilization of the UAV has revolutionized many areas such as military,civil and rescue,agriculture,and forestry domains. Applying the UAV to forestry information collection is a crucial approach to contribute to the digitization and precision forestry management. Compared with the conventional monitoring and surveillance methods,the UAV has various advantages including effective data and material acquisition capability with high resolution advantage,which makes it an ideal tool for forestry monitoring. Applying the UAV technique into forestry industry can acquire multiple scales,multiple time phases and high-resolution information when compared with traditional monitoring methods,which greatly improves the automation level of forestry operations and meets the practical needs of intelligent forestry management. Practical applications achieved with the help of the UAV can greatly reduce the requirement for both time and cost. The UAV remote sensing technique combines the UAV platform,multiple external sensors and information acquisition equipment can effectively realize target information collection goal with the assistance of accurate GPS technology. To better facilitate the UAV application and popularization in forestry,this reviewsummarizes the current development conditions and conducts future development of the UAV applications in forestry industry. On the basis of concept,classification and advantage introductions,the mainstream application practices of the UAV are reviewed,including forestry pest and insect monitoring,wild fire monitoring,wild animal and plant monitoring and recognition,forestry resource investigation,mechanized conservation equipment and forestry enforcement. The most advanced techniques and methods in related cases are presented herein. By reviewing the classic research,detailed implementations are analyzed in terms of platform types, configuration categories, work scenarios and field requirements. Challenges in current development conditions such as limited endurance performance and communication range,easy vulnerability in forestry environment,and incomplete regulatory mechanism are presented. Besides,the possible applications in forestry practices were suggested,which can provides references for better and advanced development of the UAV in the future.
引文
[1]GAMBELLA F,SISTU L,PICCIRILLI D,et al. Forest and UAV:a bibliometric review[J]. Contemporary Engineering Sciences,2016,9(28):1359-1370.
    [2]PAJARES G. Overview and current status of remote sensing applications based on unmanned aerial vehicles(UAVs)[J]. Photogrammetric Engineering&Remote Sensing, 2015,81(4):281-330.
    [3]NEX F,REMONDINO F. UAV for 3D mapping applications:a review[J]. Applied Geomatics,2014,6(1):1-15.
    [4]BANU T B G B. The use of drones in forestry[J]. Journal of Environmental Science and Engineering,2016,B5:557-562.
    [5]WATTS A C,AMBROSIA V G,HINKLEY E A. Unmanned aircraft systems in remote sensing and scientific research:classification and considerations of use[J]. Remote Sensing,2012,4(6):1671-1692.
    [6]ARJOMANDI A,AGOSTINO S,MAMMONE M,et al. Classification of unmanned aerial vehicle,report for mechanical engineering class[R]. Adelaide, Australia:University of Adelaide,2006.
    [7]YAYLI U C,KIMET C,DURU A,et al. Design optimization of a fixed wing aircraft[J]. Advances in Aircraft and Spacecraft Science,2017,4(1):65-80.
    [8] TANG L,SHAO G. Drone remote sensing for forestry research and practices[J]. Journal of Forestry Research,2015,26(4):791-797.
    [9]GUPTA S G,GHONGE M M P M,JAWANDHIYA. Review of unmanned aircraft system(UAS)[J]. International Journal of Advanced Research in Computer Engineering&Technology,2013,2(4):1646-1658.
    [10]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.LIU Q W,LI S M,LI Z Y,et al. Review on the applications of UAV-Based Li DAR and photogrammetry in forestry[J]. Scientia Silvae Sinicae,2017,53(7):134-148.
    [11]RASMUSSEN J,NIELSEN J,GARCIA-RUIZ F,et al. Potential uses of small unmanned aircraft systems(UAS)in weed research[J]. Weed Research,2013,53(4):242-248.
    [12]TOTH C,JZ'KW G. Remote sensing platforms and sensors:a survey[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2016,115:22-36.
    [13]TRISTANR H,NICHOLASC,PETERL,et al. Unmanned aerial systems for precision forest inventory purposes:a review and case study[J]. Forestry Chronicle,2017,93(1):71-81.
    [14]汪沛,罗锡文,周志艳,等.基于微小型无人机的遥感信息获取关键技术综述[J].农业工程学报,2014,30(18):1-12.WANG P,LUO X W,ZHOU Z Y,et al. Key technology for remote sensing information acquisition based on micro UAV[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(18):1-12.
    [15]WHITEHEAD K,HUGENHOLTZ C H,MYSHAK S,et al. Remote sensing of the environment with small unmanned aircraft systems(UASs),part 2:scientific and commercial applications.[J].Journal of Unmanned Vehicle System,2014,2(3):69-85.
    [16]DASH J P,WATT M S,PEARSE G D,et al. Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak[J]. International Journal of Photogrammetry&Remote Sensing,2017,131:1-14.
    [17]YUAN C,ZHANG Y,LIU Z. A survey on technologies for automatic forest fire monitoring, detection,and fighting using unmanned aerial vehicels and remote sensing techniques.[J]. Canadian Journal of Forest Research,2015,45(7):783-792.
    [18]SUAREZ J,SMITH S,BULL G,et al. The use of remote sensing techniques in operational forestry[J]. Quarterly Journal of Forestry,2005,99(1):31-42.
    [19]JAWHAR I,MOHAMED N,AL-JAROODI J,et al. Communication and networking of UAV-based systems:classification and associated architectures[J]. Journal of Network and Computer Applications,2017,84:93-108.
    [20]SHAHBAZI M,THAU J,MNARD P. Recent applications of unmanned aerial imagery in natural resource management[J]. GIScience&Remote Sensing,2014,51(4):339-365.
    [21]刘建刚,赵春江,杨贵军,等.无人机遥感解析田间作物表型信息研究进展[J].农业工程学报,2016,32(24):98-106.LIU J G,ZHAO C J,YANG G J,et al. Review of field-based phenotyping by unmanned aerial vehicle remote sensing platform[J]. Transactions of the Chinese Society of Agricultural Engineering,2016,32(24):98-106.
    [22]孙刚,黄文江,陈鹏飞,等.轻小型无人机多光谱遥感技术应用进展[J].农业机械学报,2018,49(3):1-17.SUN G,HUANG W J,CHEN P F,et al.Advances in UAV-based multispectral remote sensing applications[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(3):1-17.
    [23]COLOMINA I,MOLINA P. Unmanned aerial systems for photogrammetry and remote sensing:a review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2014,92(2):79-97.
    [24]GOVENDER M,CHETTY K,NAIKEN V,et al. A comparison of satellite hyperspectral and multispectral remote sensing imagery for improved classification and mapping of vegetation[J]. Water SA,2008,34(2):147-154.
    [25]SANKEY T,DONAGER J,MCVAY J,et al. UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA[J]. Remote Sensing of Environment,2017,195:30-43.
    [26]陈崇成,李旭,黄洪宇.基于无人机影像匹配点云的苗圃单木冠层三维分割[J].农业机械学报,2018(2):149-155.CHEN C C,LI X,HUANG H Y. 3D Segmentation of individual tree canopy in forest nursery based on drone image-matching point cloud[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(2):149-155.
    [27]MERINO L,CABALLERO F,DIOS M D,et al. A cooperative perception system for multiple UAVs:application to automatic detection of forest fires[J]. Journal of Field Robotics,2006,23(3):165-184.
    [28]ADO T,HRUKA J,PDUA L,et al. Hyperspectral imaging:a review on uav-based sensors,data processing and applications for agriculture and forestry[J]. Remote Sensing,2017,9(9):1110-1140.
    [29]WANG D,HOLLAUS M,PFEIFER N,et al. The potential of UAV laser scanning in forest inventories[C]. EGU General Assembly 2017,Vienna:European Geosciences Union.
    [30]IQBAL P A S,WIBOWO A,KUSRATMOKO E,et al. Urban forest topographical mapping using UAV LIDAR[C]. IOP Conference Series:Earth and Environmental Science,2017:012034,Yogyakarta:Universitas Gadjah Mada(UGM).
    [31]LEHMANN J R K,NIEBERDING F,PRINZ T,et al. Analysis of unmanned aerial system-based CIR images in forestry—a new perspective to monitor pest infestation levels[J]. Forests,2015,6(3):594-612.
    [32]STONE C,MOHAMMED C. Application of remote sensing technologies for assessing planted forests damaged by insect pests and fungal pathogens:a review[J]. Current Forestry Reports,2017,3(2):75-92.
    [33]HALL R J,CASTILLA G,WHITE J C,et al. Remote sensing of forest pest damage:a review and lessons learned from a Canadian perspective[J]. Canadian Entomologist,2016,148:296-356.
    [34]张军国,冯文钊,胡春鹤,等.无人机航拍林业虫害图像分割复合梯度分水岭算法[J].农业工程学报,2017,33(14):93-99.ZHANG J G,FENG W Z,HU C H,et al. Image segmentation method for forestry unmanned aerial vehicle pest monitoring based on composite gradient watershed algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering,2017,33(14):93-99.
    [35] YUAN Y, HU X. Random forest and objected-based classification for forest pest extraction from Uav aerial imagery[J]. International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2016,XLI-B1:1093-1098.
    [36]NSI R,HONKAVAARA E,LYYTIKINEN-SAARENMAA P,et al. Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level[J]. Remote Sensing,2015,7(12):15467-15493.
    [37]MARTNEZ-DE DIOS J R,MERINO L,CABALLERO F,et al.Automatic forest-fire measuring using ground stations and Unmanned Aerial Systems[J]. Sensors,2011,11(6):6328-6353.
    [38]LIN H,LIU Z,ZHAO T,et al. Early warning system of forest fire detection based on video technology[J]. Lecture Notes in Electrical Engineering,2014,272 LNEE(3):751-758.
    [39]GONZLEZ-JORGE H,BUENO M,MARTNEZ-SNCHEZ J,et al. Low-altitude long-endurance solar unmanned plane for forest fire prevention:application to the natural park of serra do xures(Spain)[C]∥International Conference on Unmanned Aerial Vehicles in Geomatics. Bonn:University of Bonn,2017,42:135-139.
    [40]ZHANG L,WANG B,PENG W,et al. A method for forest fire detection using UAV[J]. Advanced Science and Technology Letters,2015,81:69-74.
    [41]MARTINS A,ALMEIDA J,ALMEIDA C,et al. Forest fire detection with a small fixed wing autonomous aerial vehicle[J]. Ifac Proceedings Volumes,2007,40(15):168-173.
    [42]CRUZ H,ECKERT M,MENESES J,et al. Efficient forest fire detection index for application in unmanned aerial systems(UASs)[J]. Sensors,2016,16(6):893-909.
    [43]MERINO L,CABALLERO F,MARTNEZ-DE-DIOS J R,et al.An unmanned aircraft system for automatic forest fire monitoring and measurement[J]. Journal of Intelligent&Robotic Systems,2012,65(1):533-548.
    [44] BRUST R M,STRIMBU B M. A networked swarm model for UAV deployment in the assessment of forest environments[C].2015 IEEE,Singapore:Institute for Infocomm Research.
    [45]GHAMRY K A,KAMEL M A,ZHANG Y. Cooperative forest monitoring and fire detection using a team of UAVs-UGVs[C].IEEE,2016,Washington:International Conference on Unmanned Aircraft Systems Association.
    [46]IV G P J,PEARLSTINE L G,PERCIVAL H F. An assessment of small unmanned aerial vehicles for wildlife research[J].Wildlife Society Bulletin,2011,34(3):750-758.
    [47]GONZALEZ L F,MONTES G A,PUIG E,et al. Unmanned aerial vehicles(UAVs)and artificial intelligence revolutionizing wildlife monitoring and conservation[J]. Sensors,2016,16(1):97-115.
    [48]RADIANSYAH S,KUSRINI M D,PRASETYO L B. Quadcopter applications for wildlife monitoring[C]. IOP conference series:earth and environmental science,2017:012066,Bogor:Bogor Agricultural University.
    [49]SU X,DONG S,LIU S,et al. Using an unmanned aerial vehicle(UAV)to study wild yak in the highest desert in the world[J].International Journal of Remote Sensing,2018,39(15/16):5490-5503.
    [50]PULITI S,OLERKA H,GOBAKKEN T,et al. Inventory of small forest areas using an unmanned aerial system[J]. Remote Sensing,2015,7(8):9632-9654.
    [51]刘文萍,仲亭玉,宋以宁.基于无人机图像分析的树木胸径预测[J].农业工程学报,2017,33(21):99-104.LIU W P,ZHONG T Y,SONG Y N.Prediction of trees diameter at breast height based onunmanned aerial vehicle image analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(21):99-104.
    [52]张园,陶萍,梁世祥,等.无人机遥感在森林资源调查中的应用[J].西南林业大学学报,2011,31(3):49-53.ZHANG Y,TAO P,LIANG S X,et al. Research on application of UAV RS techniques in forest inventories[J]. Journal of Southwest Forestry College. 2011,31(3):49-53.
    [53]WALLACE L, LUCIEER A, MALENOVSKY Z, et al.Assessment of forest structure using two UAV techniques:a comparison of airborne laser scanning and structure from motion(SFM)point clouds[J]. Forests,2016,7(3):62.
    [54]OTA T,OGAWA M,MIZOUE N,et al. Forest structure estimation from a UAV-based photogrammetric point cloud in managed temperate coniferous forests[J]. Forests,2017,8(9):343.
    [55]INOUE T,NAGAI S,YAMASHITA S,et al. Unmanned aerial survey of fallen trees in a deciduous broadleaved forest in eastern Japan[J]. Plos One,2014,9(10):e109881.
    [56]CHEN Y,HAKALA T,KARJALAINEN M,et al. UAV-borne profiling radar for forest research[J]. Remote Sensing,2017,9(1):58.
    [57]陈盛德,兰玉彬,李继宇,等.植保无人机航空喷施作业有效喷幅的评定与试验[J].农业工程学报,2017,33(7):82-90.CHEN S D,LAN Y B,LI J Y,et al.Evaluation and test of effective spraying width of aerial spraying on plant protection UAV[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(7):82-90.
    [58] GILESD K,BILLINGR C. Deployment and performance of a UAV for crop spraying[J]. Chemical Engineering Trnsactions,2015,44:307-312.
    [59]李继宇,兰玉彬,施叶茵.旋翼无人机气流特征及大田施药作业研究进展[J].农业工程学报,2018,34(12):104-118.LI J Y,LAN Y B,SHI Y Y.Research progress on airflow characteristics and field pesticide application system of rotary-wing UAV[J]. Transactions of the Chinese Society of Agricultural Engineering,2018,34(12):104-118.
    [60]何勇,肖舒裴,方慧,等.植保无人机施药喷嘴的发展现状及其施药决策[J].农业工程学报,2018,34(13):113-124.HE Y,XIAO S P,FANG H,et al. Development situation and spraying decision of spray nozzle for plant protection UAV[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(13):113-124.
    [61]WING M G,BURNETT J,SESSIONS J,et al. Eyes in the sky:remote sensing technology development using small unmanned aircraft systems[J]. Journal of Forestry,2013,111(5):341-347.
    [62] LINCHANT J,LISEIN J,SEMEKI J,et al. Are unmanned aircraft systems(UASs)the future of wildlife monitoring? A review of accomplishments and challenges[J]. Mammal Review,2015,45(4):239-252.
    [63]MURPHY D W,CYCON J. Applications for mini VTOL UAV for law enforcement[J]. International Society for Optics and Photonics,2007,3577:35-43.
    [64]RAJA V,MANO S,DINESH M,et al. Design,fabrication and simulation of hexacopter for forest surveillance[J]. ARPN Journal of Engineering and Applied Sciences,2017,12(12):3879-3884.
    [65]孙中宇,陈燕乔,杨龙,等.轻小型无人机低空遥感及其在生态学中的应用进展[J].应用生态学报,2017,28(2):528-536.SUN Z Y,CHEN Y Q,YANG L,et al. Small unmanned aerial vehicles for low-altitude remote sensing and its application progress in ecology[J]. Chinese Journal of Applied Ecology,2017,28(2):528-536.
    [66]HARDIN P J,HARDIN T J. Small-scale remotely piloted vehicles in environmental research[J]. Geography Compass,2010,4(9):1297-1311.
    [67]CETL V,JURAKIC'G,MA-DER M,et al. Unmanned aircraft systems—successful usage limited by the regulation?[C]. TS 6-New Technologies in Engineering Geodesy and Multisensor Systems, International Symposium on Engineering Geodesy-Sig2016,Tianjin:China Earthquake Administration.
    [68]TORRESAN C,BERTON A,CAROTENUTO F,et al. Forestry applications of UAVs in Europe:a review[J]. International Journal of Remote Sensing,2017,38(8):2427-2447.
    [69]CHRISTIE K S,GILBERT S L,BROWN C L,et al. Unmanned aircraft systems in wildlife research:current and future applications of a transformative technology[J]. Frontiers in Ecology&the Environment,2016,14(5):241-251.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700