基于文献计量评价的无人机生态遥感监测研究进展
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摘要
利用2004—2018年Web of Science数据库中无人机生态遥感监测领域的相关文献,通过文献计量统计和可视化方法对发文量、作者、国家、机构、期刊和关键词等进行分析,从文献计量视角评价了国际无人机生态遥感监测研究的发展历程和进展。结果表明:检索到的381篇该领域的文献来自全球62个国家、646所机构的1 598位学者,2013年以来相关文献数量呈高速增长趋势。在该领域研究中,美国、中国和西班牙的综合科研力量最强;美国农业部、西班牙国家科学研究委员会和中国科学院的发文量全球领先;虽然全球有较多学者从事该领域研究,但国际学者间的交流和合作相对较少。Remote Sensing、International Journal of Remote Sensing和Precision Agriculture是该领域文献的主要期刊载体。除检索词"Unmanned Aerial Vehicle""Drone"外,"Precision agriculture""Vegetation indices""Forest inventory"等是出现频次较高的关键词,表明无人机遥感在精准农业、植被调查等方面的应用是研究重点。为了促进无人机生态遥感监测研究,建议国内外学者间加强交流合作,增强技术创新并拓宽在生态监测领域的应用范围。
Unmanned aerial vehicles(UAVs)have brought technological changes and development opportunities for research in the field of ecological monitoring by remote sensing.Over the past ten years,international scholars have actively conducted research in this field and published many papers,but there have been few reports on the overall development process and research progress in this field.Based on the relevant literature in the Web of Science database between 2004 and 2018,this study analyzed the number of annual papers,authors,countries,institutions,periodicals,keywords,etc.,by means of bibliometric statistics and visualization.From the bibliometric perspective,the development process and research progress of international UAV ecological remote sensing monitoring are evaluated.The results show that 381 documents in this field are from 1598 scholars from646 institutions in 62 countries.From 2004 to 2012,a total of 29 papers were published,with an average of 3.22 articles per year.The number of documents grew slowly,A total of 352 articles were published from 2013 to 2018,with an average of 58.67 articles per year,which shows the explosive growth of the volume of publications.With the advancement of remote sensing technology,UAV remote sensing has become widely used in ecological monitoring.Zarco-Tejada P J(9 papers),Lucieer A(8 papers),and Lopez-Granados F(7 papers)are the top three scholars in the field.USA(101 papers),China(66 papers),and Spain(43 papers)have the greatest comprehensive research strength.The United States Department of Agriculture(24 papers),Spanish National Research Council(24 papers),and Chinese Academy of Sciences(19 papers)lead the world in terms of publications.Although there are many scholars around the world engaged in research in this field,there are relatively few academic exchanges and cooperation between international scholars.Remote Sensing,International Journal of Remote Sensing,and Precision Agriculture are the main journals that publish the literature in this field.In addition to the keywords(unmanned aerial vehicle,drone)used for searching,keywords such as precision agriculture,vegetation indices,and forest inventory are used with high frequency.This result shows that the application of UAV remote sensing in precision agriculture and vegetation survey has always been the focus of research in this field.UAV remote sensing has been applied to monitoring research in many ecological fields in China,and is in a leading position in the world.In order to promote the research on UAV ecological remote sensing monitoring,strengthening exchanges and cooperation between scholars at home and abroad,enhancing technological innovation,and broadening the scope of applications of the field of ecological monitoring are recommended.
Unmanned aerial vehicles(UAVs)have brought technological changes and development opportunities for research in the field of ecological monitoring by remote sensing.Over the past ten years,international scholars have actively conducted research in this field and published many papers,but there have been few reports on the overall development process and research progress in this field.Based on the relevant literature in the Web of Science database between 2004 and 2018,this study analyzed the number of annual papers,authors,countries,institutions,periodicals,keywords,etc.,by means of bibliometric statistics and visualization.From the bibliometric perspective,the development process and research progress of international UAV ecological remote sensing monitoring are evaluated.The results show that 381 documents in this field are from 1598 scholars from646 institutions in 62 countries.From 2004 to 2012,a total of 29 papers were published,with an average of 3.22 articles per year.The number of documents grew slowly,A total of 352 articles were published from 2013 to 2018,with an average of 58.67 articles per year,which shows the explosive growth of the volume of publications.With the advancement of remote sensing technology,UAV remote sensing has become widely used in ecological monitoring.Zarco-Tejada P J(9 papers),Lucieer A(8 papers),and Lopez-Granados F(7 papers)are the top three scholars in the field.USA(101 papers),China(66 papers),and Spain(43 papers)have the greatest comprehensive research strength.The United States Department of Agriculture(24 papers),Spanish National Research Council(24 papers),and Chinese Academy of Sciences(19 papers)lead the world in terms of publications.Although there are many scholars around the world engaged in research in this field,there are relatively few academic exchanges and cooperation between international scholars.Remote Sensing,International Journal of Remote Sensing,and Precision Agriculture are the main journals that publish the literature in this field.In addition to the keywords(unmanned aerial vehicle,drone)used for searching,keywords such as precision agriculture,vegetation indices,and forest inventory are used with high frequency.This result shows that the application of UAV remote sensing in precision agriculture and vegetation survey has always been the focus of research in this field.UAV remote sensing has been applied to monitoring research in many ecological fields in China,and is in a leading position in the world.In order to promote the research on UAV ecological remote sensing monitoring,strengthening exchanges and cooperation between scholars at home and abroad,enhancing technological innovation,and broadening the scope of applications of the field of ecological monitoring are recommended.
引文
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Baena S,Boyd D S and Moat J.2018.UAVs in Pursuit of Plant Conservation-real World Experiences.Ecological Informatics,47:2-9.
Bagaram M B,Giuliarelli D,Chirici G,Giannetti F and Barbati A.2018.UAV Remote Sensing for Biodiversity Monitoring:Are Forest Canopy Gaps Good Covariates?Remote Sensing, 10(9):1397.
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Chen H and Ho Y S.2015.Highly Cited Articles in Biomass Research:A Bibliometric Analysis.Renewable&Sustainable Energy Reviews,49(6):12-20.
Cheng X,Shuai C M,Liu J L,Wang J,Liu Y,Li W J and Shuai J.2018.Topic Modelling of Ecology,Environment and Poverty Nexus:an Integrated Framework.Agriculture Ecosystems&Environment,267:1-14.
Duan S B,Li Z L,Wu H,Tang B H,Ma L L,Zhao E Y and Li C R.2014.Inversion of the PROSAIL Model to Estimate Leaf Area Index of Maize,Potato,and Sunflower Fields from Unmanned Aerial Vehicle Hyperspectral Data.International Journal of Applied Earth Observation and Geoin.formation,26:12-20.
Feng Q,Liu J and Gong J.2015.Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random ForestClassifier-A Case of Yuyao,China.Water,7(4):1437-1455.
Getzin S,Wiegand K and Schoning I.2012.Assessing Biodiversity in Forests Using Very High-Resolution Images and Unmanned Aerial Vehicles.Methods in Ecology and Evolution,3(2):397-404.
Giordan D,Manconi A,Remondino F and Nex F.2017.Use of Unmanned Aerial Vehicles in Monitoring Application and Management of Natural Hazards.Geomatics,Natural Hazards&Risk,8(1):1-4.
郭庆华,吴芳芳,胡天宇,陈琳海,刘瑾,赵晓倩,高上,庞树鑫.2016.无人机在生物多样性遥感监测中的应用现状与展望.生物多样性,24(11):1267-1278.[Guo Qinghua,Wu Fangfang,Hu Tianyu,Chen Linhai,Liu Jin,Zhao Xiaoqian,Gao Shang and Pang Shuxin.2016.Perspectives and Prospects of Unmanned Aerial Vehicle in Remote Sensing Monitoring of Biodiversity.Biodiversity Science,24(11):1267-1278.]
郭庆华,胡天宇,姜媛茜,金时超,王瑞,关宏灿,杨秋丽,李玉美,吴芳芳,翟秋萍,刘瑾,苏艳军.2018.遥感在生物多样性研究中的应用进展.生物多样性,26(8):789-806.[Guo Qinghua,Hu Tianyu,Jiang Yuanxi,Jin Shichao,Wang Rui,Guan Hongchan,Yang Qiuli,Li Yumei,Wu Fangfang,Zhai Qiuping,Liu Jin and Su Yanjun.2018.Advances in Remote Sensing Application for Biodiversity Research.Biodiversity Science,26(8):789-806.]
Herwitz S R,Johnson L F,Dunagan S E,Higgins R G,Sullivan D V,Zheng J,Lobitz B M,Leung J G,Gallmeyer B A,Aoyagi M,Slye R E and Brass J A.2004.Imaging from an Unmanned Aerial Vehicle:Agricultural Surveillance and Decision Support.Computers and Electronics in Agriculture,44(1):49-61.
胡健波,张健.2018.无人机遥感在生态学中的应用进展.生态学报,38(1):20-30.[Hu Jianbo and Zhang Jian.2018.Unmanned Aerial Vehicle Remote Sensing in Ecology:Advances and Prospects.Acta Ecologica Sinica,38(1):20-30.]
Kellenberger B,Marcos D and Tuia D.2018.Detecting Mammals in UAV Images:Best Practices to Address a Substantially Imbalanced Dataset with Deep Learning.Remote Sensing of Environment,216:139-153.
Khan Z,Rahimi-Eichi V,Haefele S,Garnett T and Miklavcic S J.2018.Estimation of Vegetation Indices for High-throughput Phenotyping of Wheat Using Aerial Imaging.Plant Methods,14:20.
Koh L P and Wich S A.2012.Dawn of Drone Ecology:Low-cost Autonomous Aerial Vehicles for Conservation.Tropical Conservation Science,5(2):121-132.
Li W and Zhao Y.2015.Bibliometric Analysis of Global Environmental Assessment Research in a 20-year Period.Environmental Impact Assessment Review,50:158-166.
Liu F L,Lin A W,Wang H H,Peng Y L and Hong S.2016.Global Research Trends of Geographical Information System from 1961 to 2010:a Bibliometric Analysis.Scientometrics,106(2):751-768.
Messinger M and Silman M.2016.Unmanned Aerial Vehicles for the Assessment and Monitoring of Environmental Contamination:an Example from Coal Ash Spills.Environmental Pollution,218:889-894.
Nasi R,Honkavaara E,Lyytikainen-Saarenmaa P,Blomqvist M,Litkey P,Hakala T,Viljanen N,Kantola T,Tanhuanpaa T and Holopainen M.2015.Using UAV-based Photogrammetry and Hyperspectral Imagingfor Mapping Bark Beetle Damage at Tree-level.Remote Sensing,7(11)15467-15493.
Nedelcut F.2011.Current Aspects of Using Unmanned Aerial Vehicles in Environmental Monitoring.Journal of Environmental Protection and Ecology,12(4):1818-1834.
Peng Z R,Wang D S,Wang Z Y,Gao Y and Lu S J.2015.A Study of Vertical Distribution Patterns of PM2.5 Concentrations Based on Ambient Monitoring with Unmanned Aerial Vehicles:a Case in Hangzhou,China.Atmo.spheric Environment,123:357-369.
Persson O.1994.The Intellectual Base and Research Fronts of Jasis1986-1990.Journal of The American Society for Information Science,45(1):31-38.
Rango A,Laliberte A,Herrick J E,Winters C,Havstad K,Steele C and Browning D.2009.Unmanned Aerial Vehicle-based Remote Sensing for Rangeland Assessment,Monitoring,and Management.Journal of Applied Remote Sensing,3:033542.
Romanelli J P,Fujimoto J T,Ferreira M D and Milanez D H.2018.Assessing Ecological Restoration as a Research Topic Using Bibliometric Indicators.Ecological Engineering,120:311-320.
Sandbrook C.2015.The Social Implications of Using Drones for Biodiversity Conservation.Ambio,44:S636-S647.
Shahbazi M,Theau J and Menard P.2014.Recent Applications of Unmanned Aerial Imagery in Natural Resource Management.GIScience&Remote Sensing,51(4):339-365.
Song K,Brewer A,Ahmadian S,Shankar A,Detweiler C and Burgin A J.2017.Using Unmanned Aerial Vehicles to Sample Aquatic Ecosystems.Limnology and Oceanography-methods,15(12):1021-1030.
孙中宇,陈燕乔,杨龙,唐光良,袁少雄,林志文.2017.轻小型无人机低空遥感及其在生态学中的应用进展.应用生态学报.,28(2):528-536.[Sun Zhongyu,Chen Yanqiao,Yang Long,Tang Gungliang,Yuan Shaoxiong and Lin Zhiwen.2017.Small Unmanned Aerial Vehicles for Low-altitude Remote Sensing and Its Application Progress in Ecology.Chinese Journal o.f Applied Ecology,28(2):528-536.]
Tang L N and Shao G F.2015.Drone Remote Sensing for Forestry Research and Practices.Journal of Forestry Research,26(4):791-797.
Torresan C,Berton A,Carotenuto F,Di Gennaro S F,Gioli B,Matese A,Miglietta F,Vagnoli C,Zaldei A and Wallace L.2017.Forestry Applications of UAVs in Europe:a Review.International Journal of Remote Sensing,28(8/10):2427-2447.
Torres-Sanchez J,Lopez-Granados F and Pena J M.2015.An Automatic Object-based Method for Optimal Thresholding in UAV Images:Application for Vegetation Detection in Herbaceous Crops.Computers and Electronics in Agriculture,114:43-52.
Van Eck N J and Waltman L.2010.Software Survey:VOSviewer,a Computer Program for Bibliometric Mapping.Scientometrics,84(2):523-538.
Vanegas F,Bratanov D,Powell K,Weiss J and Gonzalez F.2018.A Novel Methodology for Improving Plant Pest Surveillance in Vineyards andCrops Using UAV-based Hyperspectral and Spatial Data.Sensors,18(1):260.
Vousdoukas M I,Pennucci G,Holman R A and Conley D C.2011.A Semi Automatic Technique for Rapid Environmental Assessment in the Coastal Zone Using Small Unmanned Aerial Vehicles(SUAV).Journal of Coastal Research,2(64):1755-1759.
Wallace L,Lucieer A,Watson C and Turner D.2012.Development of a UAV-LiDAR System with Application to Forest Inventory.Remote Sensing,4(6):1519-1543.
Wan H W,Wang Q,Jiang D,Fu J Y,Yang Y P and Liu X M.2014.Monitoring the Invasion of Spartina Alterniflora Using Very High Resolution Unmanned Aerial Vehicle Imagery in Beihai,Guangxi(China).The Scientific World Journal,638296.
Xiang H T and Tian L.2011.Development of a Low-cost Agricultural Remote Sensing System Based on an Autonomous Unmanned Aerial Vehicle(UAV).Biosystems Engineering,108(2):174-190.
Yang G J,Liu J G,Zhao C J,Li Z H.,Huang Y B,Yu H Y,Xu B,Yang X D,Zhu D M,Zhang X Y,Zhang R Y,Feng H K,Zhao X Q,Li Z H,Li H L and Yang H.2017.Unmanned Aerial Vehicle Remote Sensing for Field-based Crop Phenotyping:Current Status and Perspectives.Frontiers in Plant Science,8:1111.
Yuan C,Zhang Y M and Liu Z X.2015.A Survey on Technologies for Automatic Forest Fire Monitoring,Detection,and Fighting Using Unmanned Aerial Vehicles and Remote Sensing Techniques.Canadian Journal of Forest Research,45(7):783-792.
Zahawi R A,Dandois J P.,Holl K D,Nadwodny D,Reid J L and Ellis E C.2015.Using Lightweight Unmanned Aerial Vehicles to Monitor Tropical Forest Recovery.Biological Conservation,186:287-295.
Zhang C H and Kovacs J M.2012.The Application of Small Unmanned Aerial Systems for Precision Agriculture:a Review.Precision Agriculture,13(6):693-712.
Zhang J,Hu J B,Lian J Y,Fan Z J,Ouyang X J and Ye W H.2016.Seeing the Forest from Drones:Testing the Potential of Lightweight Drones as a Tool for Long-term Forest Monitoring.Biological Conservation,198:60-69.
张志明,徐倩,王彬,孙虎,耿宇鹏,田冀.2017.无人机遥感技术在景观生态学中的应用.生态学报,37(12):4029-4036.[Zhang Zhiming,Xu Qian,Wang Bin,Sun Hu,Geng Yupeng and Tian Ji.2017.Applications of Unmanned Aerial Vehicles Remote Sensing Technology in Landscape Ecology.Acta Ecologica Sinica,37(12):4029-4036.]
钟赛香,曲波,苏香燕,毛鹏,游细斌.2014.从《地理学报》看中国地理学研究的特点与趋势——基于文献计量方法.地理学报,69(8):1077-1092.[Zhong Saixiang,Qu Bo,Su Xiangyan,Mao Peng and You Xibin.2014.Progress in Chinese Geography Research Reflected from Acta Geographica Sinica during 1934-2013:A Bibliometrics Analysis.Acta Geographica Sinica,69(8):1077-1092.]
Arbelaez-Cortes E.2013.Knowledge of Colombian Biodiversity:Published and Indexed.Biodiversity and Conservation,22(12):2875-2906.
Baena S,Boyd D S and Moat J.2018.UAVs in Pursuit of Plant Conservation-real World Experiences.Ecological Informatics,47:2-9.
Bagaram M B,Giuliarelli D,Chirici G,Giannetti F and Barbati A.2018.UAV Remote Sensing for Biodiversity Monitoring:Are Forest Canopy Gaps Good Covariates?Remote Sensing, 10(9):1397.
Bemi J A J,Zarco-Tejada P J,Suarez L and Fereres E.2009.Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring from an Unmanned Aerial Vehicle.IEEE Transactions on Geoscience and Remote Sensing,47(3):722-738.
Borrett S R,Sheble L,Moody J and Anway E C.2018.Bibliometric Review of Ecological Network Analysis:2010-2016.Ecological Modelling,382:63-82.
Chen H and Ho Y S.2015.Highly Cited Articles in Biomass Research:A Bibliometric Analysis.Renewable&Sustainable Energy Reviews,49(6):12-20.
Cheng X,Shuai C M,Liu J L,Wang J,Liu Y,Li W J and Shuai J.2018.Topic Modelling of Ecology,Environment and Poverty Nexus:an Integrated Framework.Agriculture Ecosystems&Environment,267:1-14.
Duan S B,Li Z L,Wu H,Tang B H,Ma L L,Zhao E Y and Li C R.2014.Inversion of the PROSAIL Model to Estimate Leaf Area Index of Maize,Potato,and Sunflower Fields from Unmanned Aerial Vehicle Hyperspectral Data.International Journal of Applied Earth Observation and Geoin.formation,26:12-20.
Feng Q,Liu J and Gong J.2015.Urban Flood Mapping Based on Unmanned Aerial Vehicle Remote Sensing and Random ForestClassifier-A Case of Yuyao,China.Water,7(4):1437-1455.
Getzin S,Wiegand K and Schoning I.2012.Assessing Biodiversity in Forests Using Very High-Resolution Images and Unmanned Aerial Vehicles.Methods in Ecology and Evolution,3(2):397-404.
Giordan D,Manconi A,Remondino F and Nex F.2017.Use of Unmanned Aerial Vehicles in Monitoring Application and Management of Natural Hazards.Geomatics,Natural Hazards&Risk,8(1):1-4.
郭庆华,吴芳芳,胡天宇,陈琳海,刘瑾,赵晓倩,高上,庞树鑫.2016.无人机在生物多样性遥感监测中的应用现状与展望.生物多样性,24(11):1267-1278.[Guo Qinghua,Wu Fangfang,Hu Tianyu,Chen Linhai,Liu Jin,Zhao Xiaoqian,Gao Shang and Pang Shuxin.2016.Perspectives and Prospects of Unmanned Aerial Vehicle in Remote Sensing Monitoring of Biodiversity.Biodiversity Science,24(11):1267-1278.]
郭庆华,胡天宇,姜媛茜,金时超,王瑞,关宏灿,杨秋丽,李玉美,吴芳芳,翟秋萍,刘瑾,苏艳军.2018.遥感在生物多样性研究中的应用进展.生物多样性,26(8):789-806.[Guo Qinghua,Hu Tianyu,Jiang Yuanxi,Jin Shichao,Wang Rui,Guan Hongchan,Yang Qiuli,Li Yumei,Wu Fangfang,Zhai Qiuping,Liu Jin and Su Yanjun.2018.Advances in Remote Sensing Application for Biodiversity Research.Biodiversity Science,26(8):789-806.]
Herwitz S R,Johnson L F,Dunagan S E,Higgins R G,Sullivan D V,Zheng J,Lobitz B M,Leung J G,Gallmeyer B A,Aoyagi M,Slye R E and Brass J A.2004.Imaging from an Unmanned Aerial Vehicle:Agricultural Surveillance and Decision Support.Computers and Electronics in Agriculture,44(1):49-61.
胡健波,张健.2018.无人机遥感在生态学中的应用进展.生态学报,38(1):20-30.[Hu Jianbo and Zhang Jian.2018.Unmanned Aerial Vehicle Remote Sensing in Ecology:Advances and Prospects.Acta Ecologica Sinica,38(1):20-30.]
Kellenberger B,Marcos D and Tuia D.2018.Detecting Mammals in UAV Images:Best Practices to Address a Substantially Imbalanced Dataset with Deep Learning.Remote Sensing of Environment,216:139-153.
Khan Z,Rahimi-Eichi V,Haefele S,Garnett T and Miklavcic S J.2018.Estimation of Vegetation Indices for High-throughput Phenotyping of Wheat Using Aerial Imaging.Plant Methods,14:20.
Koh L P and Wich S A.2012.Dawn of Drone Ecology:Low-cost Autonomous Aerial Vehicles for Conservation.Tropical Conservation Science,5(2):121-132.
Li W and Zhao Y.2015.Bibliometric Analysis of Global Environmental Assessment Research in a 20-year Period.Environmental Impact Assessment Review,50:158-166.
Liu F L,Lin A W,Wang H H,Peng Y L and Hong S.2016.Global Research Trends of Geographical Information System from 1961 to 2010:a Bibliometric Analysis.Scientometrics,106(2):751-768.
Messinger M and Silman M.2016.Unmanned Aerial Vehicles for the Assessment and Monitoring of Environmental Contamination:an Example from Coal Ash Spills.Environmental Pollution,218:889-894.
Nasi R,Honkavaara E,Lyytikainen-Saarenmaa P,Blomqvist M,Litkey P,Hakala T,Viljanen N,Kantola T,Tanhuanpaa T and Holopainen M.2015.Using UAV-based Photogrammetry and Hyperspectral Imagingfor Mapping Bark Beetle Damage at Tree-level.Remote Sensing,7(11)15467-15493.
Nedelcut F.2011.Current Aspects of Using Unmanned Aerial Vehicles in Environmental Monitoring.Journal of Environmental Protection and Ecology,12(4):1818-1834.
Peng Z R,Wang D S,Wang Z Y,Gao Y and Lu S J.2015.A Study of Vertical Distribution Patterns of PM2.5 Concentrations Based on Ambient Monitoring with Unmanned Aerial Vehicles:a Case in Hangzhou,China.Atmo.spheric Environment,123:357-369.
Persson O.1994.The Intellectual Base and Research Fronts of Jasis1986-1990.Journal of The American Society for Information Science,45(1):31-38.
Rango A,Laliberte A,Herrick J E,Winters C,Havstad K,Steele C and Browning D.2009.Unmanned Aerial Vehicle-based Remote Sensing for Rangeland Assessment,Monitoring,and Management.Journal of Applied Remote Sensing,3:033542.
Romanelli J P,Fujimoto J T,Ferreira M D and Milanez D H.2018.Assessing Ecological Restoration as a Research Topic Using Bibliometric Indicators.Ecological Engineering,120:311-320.
Sandbrook C.2015.The Social Implications of Using Drones for Biodiversity Conservation.Ambio,44:S636-S647.
Shahbazi M,Theau J and Menard P.2014.Recent Applications of Unmanned Aerial Imagery in Natural Resource Management.GIScience&Remote Sensing,51(4):339-365.
Song K,Brewer A,Ahmadian S,Shankar A,Detweiler C and Burgin A J.2017.Using Unmanned Aerial Vehicles to Sample Aquatic Ecosystems.Limnology and Oceanography-methods,15(12):1021-1030.
孙中宇,陈燕乔,杨龙,唐光良,袁少雄,林志文.2017.轻小型无人机低空遥感及其在生态学中的应用进展.应用生态学报.,28(2):528-536.[Sun Zhongyu,Chen Yanqiao,Yang Long,Tang Gungliang,Yuan Shaoxiong and Lin Zhiwen.2017.Small Unmanned Aerial Vehicles for Low-altitude Remote Sensing and Its Application Progress in Ecology.Chinese Journal o.f Applied Ecology,28(2):528-536.]
Tang L N and Shao G F.2015.Drone Remote Sensing for Forestry Research and Practices.Journal of Forestry Research,26(4):791-797.
Torresan C,Berton A,Carotenuto F,Di Gennaro S F,Gioli B,Matese A,Miglietta F,Vagnoli C,Zaldei A and Wallace L.2017.Forestry Applications of UAVs in Europe:a Review.International Journal of Remote Sensing,28(8/10):2427-2447.
Torres-Sanchez J,Lopez-Granados F and Pena J M.2015.An Automatic Object-based Method for Optimal Thresholding in UAV Images:Application for Vegetation Detection in Herbaceous Crops.Computers and Electronics in Agriculture,114:43-52.
Van Eck N J and Waltman L.2010.Software Survey:VOSviewer,a Computer Program for Bibliometric Mapping.Scientometrics,84(2):523-538.
Vanegas F,Bratanov D,Powell K,Weiss J and Gonzalez F.2018.A Novel Methodology for Improving Plant Pest Surveillance in Vineyards andCrops Using UAV-based Hyperspectral and Spatial Data.Sensors,18(1):260.
Vousdoukas M I,Pennucci G,Holman R A and Conley D C.2011.A Semi Automatic Technique for Rapid Environmental Assessment in the Coastal Zone Using Small Unmanned Aerial Vehicles(SUAV).Journal of Coastal Research,2(64):1755-1759.
Wallace L,Lucieer A,Watson C and Turner D.2012.Development of a UAV-LiDAR System with Application to Forest Inventory.Remote Sensing,4(6):1519-1543.
Wan H W,Wang Q,Jiang D,Fu J Y,Yang Y P and Liu X M.2014.Monitoring the Invasion of Spartina Alterniflora Using Very High Resolution Unmanned Aerial Vehicle Imagery in Beihai,Guangxi(China).The Scientific World Journal,638296.
Xiang H T and Tian L.2011.Development of a Low-cost Agricultural Remote Sensing System Based on an Autonomous Unmanned Aerial Vehicle(UAV).Biosystems Engineering,108(2):174-190.
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