Review of coastal ecological environment monitoring based on unmanned aerial vehicle remote sensing

doi:10.13474/j.cnki.11-2246.2022.0165.

Abstract

Abstract: In this study, we introduce the history and current situation of development of UAV remote sensing systems by introducing the application status of UAV platform and UAV remote sensors from the perspective of coastal ecological environment monitoring. Then we review UAVRS applications in eight different areas of the coastal ecological environment monitoring, which provides evidence of the potentials and effectiveness of UAVRS for coastal zone management. This study points out that in order to further improve the application effect of UAVRS in coastal ecological environment monitoring, it is necessary to conduct further research and improvement in UAV remote sensors, setting out ground control points (GCPs), spectral data processing and other related technologies. In the future, with the improvement of UAV data transmission speed and the development of UAV AD hoc network technology, it is expected to achieve efficient and intelligent monitoring of coastal ecological environment.

Key words: UAV, remote sensing, coastal zone, ecological environment monitoring, review

CLC Number:

P237

HU Yiqiang, YANG Ji, JING Wenlong, YANG Chuanxun, SHU Sijing, LI Yong. Review of coastal ecological environment monitoring based on unmanned aerial vehicle remote sensing[J]. Bulletin of Surveying and Mapping, 2022, 0(6): 18-24.

References

[1] 苏盼盼,叶属峰,过仲阳,等.基于AD-AS模型的海岸带生态系统综合承载力评估:以舟山海岸带为例[J].生态学报,2014,34(3):718-726.
[2] SHAKHATREH H,SAWALMEH A H,AL-FUQAHA A,et al.Unmanned aerial vehicles (UAVs):a survey on civil applications and key research challenges[J].IEEE Access,2019,7:48572-48634.
[3] 李德仁,李明.无人机遥感系统的研究进展与应用前景[J].武汉大学学报(信息科学版),2014,39(5):505-513.
[4] OLSON D,ANDERSON J.Review on unmanned aerial vehicles,remote sensors,imagery processing,and their applications in agriculture[J].Agronomy Journal,2021,113(2):971-992.
[5] FLOREANO D,WOOD R J.Science,technology and the future of small autonomous drones[J].Nature,2015,521(7553):460-466.
[6] 邓才龙.无人机遥感在海岛海岸带监测中的应用研究[D].青岛:国家海洋局第一海洋研究所,2015.
[7] 李德鑫,闫志刚,孙久运.基于无人机视觉的河道漂浮垃圾分类检测技术研究[J].金属矿山,2021(9):199-205.
[8] 孙玉超,曾纪胜,蒋城飞,等.无人机低空遥感在填海工程动态监测中的应用[J].海洋技术学报,2016,35(6):5-9.
[9] JIANG Q,XU L,SUN S,et al.Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms:a case study in the Miyun Reservoir,China[J].Ecological Indicators,2021,124:107356.
[10] 姜宗辰,马毅,江涛,等.基于深度置信网络(DBN)的赤潮高光谱遥感提取研究[J].海洋技术学报,2019,38(2):1-7.
[11] 马云梅.基于国产多源高分遥感的广西红树林种间分类研究[D].呼和浩特:内蒙古师范大学,2020.
[12] 张元敏.无人机航测技术在入海排污口排查中的应用[J].测绘通报,2020(1):146-149.
[13] CHEN Xu,LIU Lei,HUANG Wei.The detection and prediction for oil spill on the sea based on the infrared images[J].Infrared Physics&Technology,2016,77:391-404.
[14] VAGLIO LAURIN G,CHEN Qi,LINDSELL J A,et al.Above ground biomass estimation in an African tropical forest with LiDAR and hyperspectral data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,89:49-58.
[15] HOLMGREN J,PERSSON Å.Identifying species of individual trees using airborne laser scanner[J].Remote Sensing of Environment,2004,90(4):415-423.
[16] 王岩飞,刘畅,詹学丽,等.无人机载合成孔径雷达系统技术与应用[J].雷达学报,2016,5(4):333-349.
[17] 麻德明,刘焱雄,金永德,等.面向对象的无人机遥感影像海岸线提取方法研究[J].海洋科学,2020,44(10):46-51.
[18] PAPAKONSTANTINOU A,DOUKARI M,TOPOUZELIS K.Coastline change detection using unmanned aerial vehicles and image processing techniques[J].Fresenius Environmental Bulletin,2017,26(9/10):5564-5571.
[19] HUANG Chao,ZHANG Hongmei,ZHAO Jianhu.High-efficiency determination of coastline by combination of tidal level and coastal zone DEM from UAV tilt photogrammetry[J].Remote Sensing,2020,12(14):2189.
[20] GHOLIZADEH M H,MELESSE A M,REDDI L.A comprehensive review on water quality parameters estimation using remote sensing techniques[J].Sensors,2016,16(8):1298.
[21] WEI Lifei,WANG Zhou,HUANG Can,et al.Transparency estimation of narrow rivers by UAV-borne hyperspectral remote sensing imagery[J].IEEE Access,2020,8:168137-168153.
[22] 李翔宇,张操.大连黄海地区入海排污口高分辨率航测排查[J].科技创新与应用,2020(17):144-145.
[23] PARK G,PARK K,SONG B.Spatio-temporal change monitoring of outside manure piles using unmanned aerial vehicle images[J].Drones,2020,5(1):1-9.
[24] 关道明,战秀文.我国沿海水域赤潮灾害及其防治对策[J].海洋环境科学,2003,22(2):60-63.
[25] WEI Guifeng,TANG Danling,WANG Sufen.Distribution of chlorophyll and harmful algal blooms (HABs):a review on space based studies in the coastal environments of Chinese marginal seas[J].Advances in Space Research,2008,41(1):12-19.
[26] SHANG Shaoling,LEE Zhongping,LIN Gong,et al.Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV[J].Remote Sensing of Environment,2017,198:85-94.
[27] KAGEYAMA Y,TAKAHASHI J,NISHIDA M,et al.Analysis of water quality in Miharu Dam reservoir,Japan,using UAV data[J].IEEE Transactions on Electrical and Electronic Engineering,2016,11:S183-S185.
[28] 冯家莉,刘凯,朱远辉,等.无人机遥感在红树林资源调查中的应用[J].热带地理,2015,35(1):35-42.
[29] BELGIU M,DRĂGUŢ L.Random forest in remote sensing:a review of applications and future directions[J].ISPRS Journal of Photogrammetry and Remote Sensing,2016,114:24-31.
[30] BESELLY S,WEGEN M,GRUETERS U,et al.Eleven years of mangrove-mudflat dynamics on the mud volcano-induced prograding delta in east Java,Indonesia:integrating UAV and satellite imagery[J].Remote Sensing,2021,13(6):112-130.
[31] PE' ERI S,PHILPOT W.Increasing the existence of very shallow-water LiDAR measurements using the red-channel waveforms[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(5):1217-1223.
[32] 王厚军,李明,丁宁,等.无人机机载MiniSAR在围填海监测中的应用探索[J].测绘与空间地理信息,2019,42(3):97-99.
[33] GALL S C,THOMPSON R C.The impact of debris on marine life[J].Marine Pollution Bulletin,2015,92(1/2):170-179.
[34] VEENSTRA T S,CHURNSIDE J H.Airborne sensors for detecting large marine debris at sea[J].Marine Pollution Bulletin,2012,65(1/2/3):63-68.
[35] ACUÑA-RUZ T,URIBE D,TAYLOR R,et al.Anthropogenic marine debris over beaches:spectral characterization for remote sensing applications[J].Remote Sensing of Environment,2018,217:309-322.
[36] BIERMANN L,CLEWLEY D,MARTINEZ-VICENTE V,et al.Finding plastic patches in coastal waters using optical satellite data[J].Scientific Reports,2020,10:53-64.
[37] FALLATI L,POLIDORI A,SALVATORE C,et al.Anthropogenic Marine Debris assessment with Unmanned Aerial Vehicle imagery and deep learning:a case study along the beaches of the Republic of Maldives[J].Science of the Total Environment,2019,693:133581.
[38] CAMPHUYSEN C J,HEUBECK M.Marine oil pollution and beached bird surveys:the development of a sensitive monitoring instrument[J].Environmental Pollution,2001,112(3):443-461.
[39] 张婷,张杰.基于无人机紫外与SAR的溢油遥感监测方法研究[J].海洋科学,2018,42(6):141-149.
[40] FINGAS M,BROWN C.Review of oil spill remote sensing[J].Marine Pollution Bulletin,2014,83(1):9-23.
[41] CAI Yang,ZOU Yarong,LIANG Chao,et al.Research on polarization of oil spill and detection[J].Acta Oceanologica Sinica,2016,35(3):84-89.
[42] NAZ S,IQBAL M F,MAHMOOD I,et al.Marine oil spill detection using synthetic aperture radar over Indian Ocean[J].Marine Pollution Bulletin,2021,162:111921.
[43] ADADE R,AIBINU A M,EKUMAH B,et al.Unmanned aerial vehicle (UAV) applications in coastal zone management:a review[J].Environmental Monitoring and Assessment,2021,193(3):154-160.
[44] 雷添杰,张鹏鹏,胡连兴,等.无人船遥感系统及其应用[J].测绘通报,2021(2):82-86.
[45] LI Bin,FEI Zesong,ZHANG Yan.UAV communications for 5G and beyond:recent advances and future trends[J].IEEE Internet of Things Journal,2019,6(2):2241-2263.
[46] ZHANG Haidong,WANG Lingqing,TIAN Ting,et al.A review of unmanned aerial vehicle low-altitude remote sensing (UAV-LARS) use in agricultural monitoring in China[J].Remote Sensing,2021,13(6):12-21.
[47] 芦海利,姚军,王崇磊,等.多源数据融合的低分辨率无人机图像增强处理[J].信息技术,2020,44(11):112-116.