无人机遥感技术在草地动植物调查监测中的应用与评价

doi:10.11733/j.issn.1007-0435.2021.01.001

草地学报 ›› 2021, Vol. 29 ›› Issue (1): 1-9.DOI: 10.11733/j.issn.1007-0435.2021.01.001

• 专论与进展 • 下一篇

无人机遥感技术在草地动植物调查监测中的应用与评价

高娟婷¹, 孙飞达¹, 霍霏¹, 张履冰², 周俗³, 杨廷勇⁴, 边巴扎西¹

1. 四川农业大学动物科技学院草业科学系, 四川成都 611130;
2. 中山大学生态学院, 广东深圳 518107;
3. 四川省草原科学研究院, 四川成都 611731;
4. 四川省甘孜藏族自治州草原工作站, 四川康定 626000

收稿日期:2020-07-10 修回日期:2020-08-11 出版日期:2021-01-15 发布日期:2021-01-08
通讯作者: 孙飞达
作者简介:高娟婷(1994-),女,汉族,甘肃会宁人,硕士研究生,主要从事草地资源与生态研究,E-mail:2985383143@qq.com
基金资助:
四川省科技厅国际合作项目（20GJHZ0115）资助

Application and Evaluation of Unmanned Aerial Vehicle Remote Sensing in Grassland Animal and Plant Monitoring

GAO Juan-ting¹, SUN Fei-da¹, HUO Fei¹, ZHANG Lyu-bing², ZHOU Su³, YANG Ting-yong⁴, BIANBA Zha-xi¹

1. Department of Grass Science, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan Province 611130, China;
2. School of Ecology, Sun Yat-sen university, Shenzhen, Guangdong Province 518107, China;
3. Sichuan Grassland Science Academy, Chengdu Province 611731, China;
4. Ganzi Prefexture Grassland Working Station, Kangding, Sichuan Province 626000, China

Received:2020-07-10 Revised:2020-08-11 Online:2021-01-15 Published:2021-01-08

摘要/Abstract

摘要： 近些年，无人机遥感由于其具有分辨率高、时效性高、机动性强、可云下低空飞行等优势在草地资源监测及草地生态方面迅速兴起。本文首先介绍了无人机遥感的系统组成以及不同传感器在草地监测上的应用，在此基础上对无人机在草地植被覆盖度监测和地上生物量估算、草地有蹄类野生动物和草地啮齿动物监测中的应用研究进行了综述，并对该技术存在的问题及限制进行了探讨，从而有针对性地解决所需要监测的对象与问题，这对于草地动植物资源在调查中构建精准数据获取、实现实时动态监测具有重要的研究意义和实际应用价值。

关键词: 无人机系统结构, 草地植物监测, 草地动物监测, 草地管理, 遥感技术

Abstract: Recent years the unmanned aerial vehicles (UVAS) were rapidly used in grassland ecological monitoring duo to its high resolution,high efficiency and strong mobility,low-altitude flight under the cloud and other advantages.In this paper,Firstly,we introduced the structures of remote sensing system of UAVS and the application of different sensors in grassland monitoring，then we summarized the recent applications of UAVS in aboveground vegetation coverage monitoring and biomass estimation,as well as wildlife/livestock,and small rodents monitoring in grassland ecosystem. In addition,the problems and limitations of this technology of UVA application were discussed for the aim to facilitating development of this approach. We hoped these review and conclusions would helpful on grassland animal and plant resources accurate investigation and real-time dynamic data monitoring.

Key words: UAV system structure, Grassland vegetation monitoring, Grassland animal monitoring, Grassland management, Remote sensing technology

中图分类号:

TP79

高娟婷, 孙飞达, 霍霏, 张履冰, 周俗, 杨廷勇, 边巴扎西. 无人机遥感技术在草地动植物调查监测中的应用与评价[J]. 草地学报, 2021, 29(1): 1-9.

GAO Juan-ting, SUN Fei-da, HUO Fei, ZHANG Lyu-bing, ZHOU Su, YANG Ting-yong, BIANBA Zha-xi. Application and Evaluation of Unmanned Aerial Vehicle Remote Sensing in Grassland Animal and Plant Monitoring[J]. Acta Agrestia Sinica, 2021, 29(1): 1-9.

参考文献

[1] 乔红. 无人机遥感系统的应用研究综述[J]. 科学技术创新,2017(36):1-2
[2] 金伟,葛宏立,杜华强,等. 无人机遥感发展与应用概况[J]. 遥感信息,2009(1):88-92
[3] 胡健波,张健. 无人机遥感在生态学中的应用进展[J]. 生态学报,2018,38(1):20-30
[4] Karen A,Kevin J G. Lightweight unmanned aerial vehicles will revolutionize spatial ecology[J]. Frontiers in Ecology and the Environment,2013,11(3):138-146
[5] Danilov A S,Smirnov U D,Pashkevich M A. The system of the ecological monitoring of environment which is based on the usage of UAV[J]. Russian Journal of Ecology,2015,46(1):14-19
[6] Lu Y,Macias D,Dean Z S,et al. A UAV-Mounted Whole Cell Biosensor System for Environmental Monitoring Applications[J]. IEEE Transactions on Nano Bioscience,2015,14(8):811-817
[7] Aljehani M,Inoue M. Communication and Autonomous Control of Multi-UAV System in Disaster Response Tasks[C]//Kes International Symposium on Agent & Multi-agent Systems:Technologies & Applications,2017:124-127
[8] Yin P F,Yin Q,Chen X F,et al. Unmanned Aerial Vehicle Aerial Remote Sensing Techniques and Its Application on Post-Earthquake Disaster Investigation[J]. Laser & Optoelectronics Progress,2010,47(11):112802
[9] Sonaa G,Passoni D,Pinto L,et al. UAV multispectral survey to map soil and crop for precision farming applications[J]. ISPRS-International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2016(6):1023-1029
[10] Ge J Y,Meng B P,Yang S X,et al. Dynamic monitoring of alpine grassland coverage based on UAV technology and MODIS remote sensing data——A case study in the headwaters of the Yellow River[J]. Acta Prataculturae Sinica,2017,26(3):1-12
[11] 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
[12] 付和平,温都苏,袁帅,等. 大数据应用于草地啮齿动物生态学:机遇与挑战[J]. 中国草地学报,2019,41(1):101-110
[13] Hampton S E,Strasser C A,Tewksbury J J,et al. Big data and the future of ecology[J]. Front Ecol. Environ.,2013,11(3):156-162
[14] Colomina I,Molina P. Unmanned aerial systems for photogrammetry and remote sensing:A review[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2014,92:79-97
[15] Yuan H,Liu Z,Cai Y,et al. Research on Vegetation Information Extraction from Visible UAV Remote Sensing Images[C]//2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA).2018:859-863
[16] Zhang X,Zhang F,Qi Y,et al. New research methods for vegetation information extraction based on visible light remote sensing images from an unmanned aerial vehicle (UAV)[J]. International Journal of Applied Earth Observation and Geoinformation,2019,78:215-226
[17] 孙迪. 基于低空遥感的黄兔尾鼠鼠洞动态监测及变化分析[D]. 乌鲁木齐:新疆大学,2019:5-11
[18] 周在明,杨燕明,陈本清. 基于无人机遥感监测滩涂湿地入侵种互花米草植被覆盖度[J]. 应用生态学报,2016,27(12):3920-3926
[19] Gao R,Kong Q M,Wang H G,et al. Diagnostic Feed Values of Natural Grasslands Based on Multispectral Images Acquired by Small Unmanned Aerial Vehicle[J]. Rangeland Ecology & Management,2019,72(6):916-922
[20] Capolupo A,Kooistra L,Berendonk C,et al. Estimating plant traits of grasslands from UAV-acquired hyperspectral images:a comparison of statistical approaches[J]. ISPRS International Journal of Geo-Information,2015,4(4):2792-2820
[21] 魏秀红,靳瑰丽,范燕敏,等. 基于高光谱遥感的退化伊犁绢蒿荒漠草地群落盖度估算[J]. 中国草地学报,2017,39(6):33-39,46
[22] Lopatin J,Fassnacht F E,Kattenborn T,et al. Mapping plant species in mixed grassland communities using close range imaging spectroscopy[J]. Remote sensing of environment,2017,201:12-23
[23] 李晟,王大军,肖治术,等. 红外相机技术在我国野生动物研究与保护中的应用与前景[J]. 生物多样性,2014,22(6):685-695
[24] Goodenough A E,Carpenter W S,Mactavish L,et al. Empirically testing the effectiveness of thermal imaging as a tool for identification of large mammals in the African bushveldt[J]. African Journal of Ecology,2017,56(1):162-184
[25] Scholten C N,Kamphuis A J,Vredevoogd K J,et al. Real-time thermal imagery from an unmanned aerial vehicle can locate ground nests of a grassland songbird at rates similar to traditional methods[J]. Biological Conservation,2019,233:241-246
[26] Li Z Q,Guo X L. Remote sensing of terrestrial non-photosynthetic vegetation using hyperspectral,multispectral,SAR,and LiDAR data[J]. Progress in Physical Geography,2016,40(2):276-304
[27] Wang D,Xin X,Shao Q,et al. Modeling aboveground biomass in hulunber grassland ecosystem by using unmanned aerial vehicle discrete lidar[J]. Sensors,2017,17(1):180
[28] Jansen V S,Kolden C A,Greaves H E,et al. Lidar provides novel insights into the effect of pixel size and grazing intensity on measures of spatial heterogeneity in a native bunchgrass ecosystem[J]. Remote Sensing of Environment,2019,235:111432
[29] 刘兴元,龙瑞军,尚占环. 草地生态系统服务功能及其价值评估方法研究[J]. 草业学报,2011,20(1):167-174
[30] Jmo S,Johnson K,Olson R J. Estimating net primary productivity from grassland biomass dynamics measurements[J]. Global Change Biology, 2002,8(8):736-753
[31] 陈梦蝶,黄晓东,侯秀敏,等. 青海省草原鼠害区域草地生物量及盖度动态监测研究[J]. 草业学报,2013,22(4):247-256
[32] 王建柱. 基于3S技术系统鼠害监测的基础研究[D]. 兰州:甘肃农业大学,2003:2-9
[33] 张玉,齐景伟,金晓,等. 信息技术在放牧绵羊福利中应用的研究进展[J]. 家畜生态学报,2018,39(3):8-11
[34] Rango A,Laliberte A,Herrick J E,et al. Unmanned aerial vehicle-based remote sensing for rangeland assessment,monitoring,and management[J]. Chinese Hydraulics & Pneumatics,2009,3(1):11-5
[35] Li Z,Chen Z,Wang L,et al. Area extraction of maize lodging based on remote sensing by small unmanned aerial vehicle[J]. Transactions of the Chinese Society of Agricultural Engineering,2014,30(19):207-213
[36] Lehnert L W,Meyer H,Wang Y,et al. Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale,multi-sensor and multi-method approach[J]. Remote Sensing of Environment,2015,164:197-207
[37] Hou J,Wang H,Fu B,et al. Effects of plant diversity on soil erosion for different vegetation patterns[J]. Catena,2016,147:632-637
[38] 葛静,孟宝平,杨淑霞,等. 基于UAV技术和MODIS遥感数据的高寒草地盖度动态变化监测研究——以黄河源东部地区为例[J]. 草业学报,2017,26(3):1-12
[39] 宋清洁,崔霞,张瑶瑶,等. 基于小型无人机与MODIS数据的草地植被覆盖度研究——以甘南州为例[J].草业科学,2017,34(1):40-50
[40] Meng B,Gao J,Liang T,et al. Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods:A Case Study in the East of Tibetan Plateau,China[J]. Remote sensing,2018,10(34):3-10
[41] 宜树华,陈建军,秦彧. 无人机航拍在青藏高原高寒草地生态系统研究中的初步应用[J]. 西南民族大学学报(自然科学版),2016,42(1):1-7
[42] Chen J J,Yi S H,Qin Y,et al. Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai-Tibetan Plateau[J]. International Journal of Remote Sensing,2016,37(8):1922-1936
[43] 金云翔,徐斌,杨秀春,等. 内蒙古锡林郭勒盟草原产草量动态遥感估算[J]. 中国科学:生命科学,2011,41(12):1185-1195
[44] 周宇庭,付刚,沈振西,等. 藏北典型高寒草甸地上生物量的遥感估算模型[J]. 草业学报,2013,22(1):120-129
[45] 张云霞,李晓兵,陈云浩. 草地植被盖度的多尺度遥感与实地测量方法综述[J]. 地球科学进展,2003(1):85-93
[46] Lussem U,Bolten A,Menne J,et al. Estimating biomass in temperate grassland with high resolution canopy surface models from UAV-based RGB images and vegetation indices[J]. Journal of Applied Remote Sensing,2019,13(3):1
[47] 张正健,李爱农,边金虎,等. 基于无人机影像可见光植被指数的若尔盖草地地上生物量估算研究[J]. 遥感技术与应用,2016,31(1):51-62
[48] 孙世泽,汪传建,尹小君,等. 无人机多光谱影像的天然草地生物量估算[J]. 遥感学报,2018,22(5):848-856
[49] 曾永年,冯兆东. 沙质荒漠化遥感监测与环境影响研究进展[J]. 山地学报,2005(2):218-227
[50] Christopher J.Rhodes,Peter Henrys,Gavin M.Siriwardena,et al. The relative value of field survey and remote sensing for biodiversity assessment[J]. Methods in Ecology and Evolution,2015,6(7):772-781
[51] Jackson H B,Fahrig L. Are ecologists conducting research at the optimal scale?[J]. Global Ecology & Biogeography,2015,24(1):52-63
[52] Luis G,Glen M,Eduard P,et al. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation[J]. Sensors,2016,16(1):97
[53] Torney C J,Lamont M,Debell L,et al. Inferring the rules of social interaction in migrating caribou[J]. Philosophical Transactions of the Royal Society B:Biological Sciences,2018,373(1746):20170385
[54] Mann R P. Bayesian Inference for Identifying Interaction Rules in Moving Animal Groups[J]. PLOS ONE,2011,6(8)
[55] 罗巍,邵全琴,王东亮,等. 基于面向对象分类的大型野生食草动物识别方法——以青海三江源地区为例[J]. 野生动物学报,2017,38(4):561-564
[56] 邵全琴,郭兴健,李愈哲,等. 无人机遥感的大型野生食草动物种群数量及分布规律研究[J]. 遥感学报,2018,22(3):497-507
[57] 郭兴健,邵全琴,杨帆,等. 无人机遥感调查黄河源玛多县岩羊数量及分布[J]. 自然资源学报,2019,34(5):1054-1065
[58] Xu J,Solmaz G,Rahmatizadeh R,et al. Animal Monitoring with Unmanned Aerial Vehicle-Aided Wireless Sensor Networks[C]//IEEE LCN'15.IEEE,2015:128-130
[59] Luis G,Glen M,Eduard P,et al. Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation[J]. Sensors,2016,16(1):97
[60] 李博,史培军,林小泉. 中国温带草地草畜平衡动态监测系统的研究[J]. 干旱区资源与环境,1993(Z1):269-274
[61] 王加亭,贠旭江,苏红田,等. "三江源"地区退化草原的鼠害监测技术[J]. 草业科学,2008(8):110-112
[62] 王玮,冯琦胜,于惠,等. "3S"技术在草地鼠虫害监测与预测中的应用[J]. 草业科学,2010,27(3):31-39
[63] 李培先,郑江华,倪亦非,等. 阿尔金山草地鼠害发生区及鼠荒地面积遥感估算[J]. 新疆农业科学,2016,53(7):1346-1355
[64] 轩俊伟,郑江华,倪亦非,等. 基于动力三角翼平台的草原鼠害遥感监测研究[J]. 中国植保导刊2015,35(2):52-55
[65] 何咏琪,黄晓东,侯秀敏,等. 基于3S技术的草原鼠害监测方法研究[J]. 草业学报,2013,22(3):33-40
[66] Yi S. FragMAP:a tool for long-term and cooperative monitoring and analysis of small-scale habitat fragmentation using an unmanned aerial vehicle[J]. International Journal of Remote Sensing,2017,38(8-10):2686-2697
[67] 董光. 基于低空遥感的若尔盖草地鼠害信息提取方法及对比研究[D]. 成都:四川师范大学,2019(2):9-15
[68] 周晓琳,安如,陈跃红,等. 三江源典型区鼠洞无人机遥感识别研究[J]. 亚热带资源与环境学报,2018,13(4):85-92
[69] 马涛,郑江华,温阿敏,等. 基于UAV低空遥感的荒漠林大沙鼠洞群覆盖率及分布特征研究——以新疆古尔班通古特沙漠南缘局部为例[J]. 生态学报,2018,38(3):953-963

无人机遥感技术在草地动植物调查监测中的应用与评价

Application and Evaluation of Unmanned Aerial Vehicle Remote Sensing in Grassland Animal and Plant Monitoring

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[1]	穆少杰, 朱超, 周可新, 李建龙. 内蒙古草地退化防治对策及碳增汇途径研究[J]. 草地学报, 2017, 25(2): 217-225.
[2]	武瑞鑫, 邵新庆, 胡新振, 钟梦莹, 位晓婷, 潘多, 张德罡. 披针叶黄华茎叶性状对不同草地管理措施的响应及其生长关系研究[J]. 草地学报, 2015, 23(3): 476-482.
[3]	王德利, 王岭. 放牧生态学与草地管理的相关概念：Ⅰ.偏食性[J]. 草地学报, 2014, 22(3): 433-438.
[4]	李凌浩, 王堃, 斯琴毕力格. 新时期我国草地环境科学发展战略的思考[J]. , 2012, 20(2): 199-206.
[5]	李连方, 王培, 殷甫络, 王警龙. 不同保护措施对山地草甸植物多样性的影响[J]. , 1999, 7(2): 106-112.
[6]	涂军, 石承苍. 青藏高原退化高寒草甸草原分类的遥感研究[J]. , 1998, 6(3): 226-233.