基于无人机的用海项目施工期悬浮泥沙监测
|
摘要
为实现对用海项目施工期悬浮泥沙扩散的实时跟踪监测,尝试采用无人机携带可见光、多光谱传感器对古雷围填海项目的围堰区进行遥感探测。利用Pix4d软件对无人机携带的可见光及多光谱照片进行处理,结果表明,可见光及多光谱影像对水体中的悬浮泥沙分布均具有一定的识别能力。通过研究分析多光谱影像的光谱特征发现,近红外波段对悬浮泥沙含量的升高较为敏感,运用波段比值公式计算结果显示,围堰内含沙水体经溢流口排入海域后浓度明显降低,并可向南继续扩散约300 m。该方法可克服遥感卫星影像时空分辨率低的特点,为用海项目资源环境影响跟踪监测提供新的技术手段。
In order to track and monitor the diffusion of suspended sediments in the construction period of reclamation projects in a real-time manner, this study attempts to use unmanned aerial vehicles(UAVs) with visible light and multi-spectral sensors to detect the cofferdam area of the Gulei Reclamation Project by remote sensing. The Pix4 d software is used to process visible light and multispectral photographs carried by UAVs. The results show that both images can recognize the suspended sediment distribution in the water body. By studying and analyzing the spectral characteristics of the sensor, it is found that the near-infrared band is sensitive to the increase of suspended sediment content. The calculation results using the band ratio formula show that the suspended sediment concentration of the water in the cofferdam decreases significantly after being discharged into the sea area, and continues to diffuse southward for 300 m. This method can overcome the low spatial and temporal resolution of remote sensing satellite images, and provide a new technical means for tracking and monitoring the environmental impact of marine projects.
In order to track and monitor the diffusion of suspended sediments in the construction period of reclamation projects in a real-time manner, this study attempts to use unmanned aerial vehicles(UAVs) with visible light and multi-spectral sensors to detect the cofferdam area of the Gulei Reclamation Project by remote sensing. The Pix4 d software is used to process visible light and multispectral photographs carried by UAVs. The results show that both images can recognize the suspended sediment distribution in the water body. By studying and analyzing the spectral characteristics of the sensor, it is found that the near-infrared band is sensitive to the increase of suspended sediment content. The calculation results using the band ratio formula show that the suspended sediment concentration of the water in the cofferdam decreases significantly after being discharged into the sea area, and continues to diffuse southward for 300 m. This method can overcome the low spatial and temporal resolution of remote sensing satellite images, and provide a new technical means for tracking and monitoring the environmental impact of marine projects.
引文
[1]罗艳,谢健,徐淑升.重视无人机系统在海洋工作中的作用[J].海洋开发与管理,2011,28(9):43-46.Luo Y,Xie J,Xu S.Value the effects of UAV system in ocean works[J].Ocean Development and Management,2011,28(9):43-46.
[2]李忠强,唐伟,张震,等.无人机技术在海洋监视监测中的应用研究[J].海洋开发与管理,2014,31(7):42-44.Li Z,Tang W,Zhang Z,et al.Study on the application of UAV technology in marine survey and monitoring[J].Ocean Development and Management,2014,31(7):42-44.
[3]张永年.无人机低空遥感海洋监测应用探讨[J].测绘与空间地理信息,2013,36(8):143-145.Zhang Y.Discussion on application of UAV low-altitude remote sensing marine monitoring[J].Geomatics and Spatial Information Technology,2013,36(8):143-145.
[4]郭忠磊,翟京生,张靓,等.无人机航测系统的海岛礁测绘应用研究[J].海洋测绘,2014,34(4):55-61.Guo Z,Zhai J,Zhang L,et al.Research on UAV photogrammetric systems in areas of islands and reefs[J].Hydrographic Surveying and Charting,2014,34(4):55-61.
[5]王琳,吴正鹏,张晓东,等.利用无人机搭载热红外成像仪探测地下输油管道的初探研究[J].城市勘测,2013,10(5):160-163.Wang L,Wu Z,Zhang X,et al.The preliminary study on using the UAV equipped with the thermal infrared imager to detect the underground oil pipelines[J].Urban Geotechnical Investigation and Surveying,2013,10(5):160-163.
[6]朱婉雪,李仕冀,张旭博,等.基于无人机遥感植被指数优选的田块尺度冬小麦估产[J].农业工程学报,2018,34(11):78-86.Zhu W,Li S,Zhang X,et al.Estimation of winter wheat yield using optimal vegetation indices from unmanned aerial vehicle remote sensing[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(11):78-86.
[7]周在明,杨燕明,陈本清.滩涂湿地入侵种互花米草植被覆盖度的高空间分辨率遥感估算[J].生态学报,2017,37(2):505-512.Zhou Z,Yang Y,Chen B.Estimating the Spartina alterniflora fractional vegetation cover using high spatial resolution remote sensing in a coastal wetland[J].Acta Ecologica Sinica,2017,37(2):505-512.
[8]Koponen S,Pulliainen J.Lake water quality classification with airborne hyper spectral spectrometer and simulated MERIS data[J].Remote Sensing of Environment,2002,79(1):51-59.
[9]Dekker A G,Vos R J,Peters S M.Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOTsensor data[J].International Journal of Remote Sensing,2002,23(1):15-35.
[10]Kloiber S M,Brezonik,P L Olmanson L G,et al.A p rocedure for regional lake water clarity assessment using Landsat multispectral data[J].Remote Sensing of Environment,2002,82(1):38-47.
[11]汪小钦,王钦敏,刘高焕,等.水污染遥感监测[J].遥感技术与应用,2002,17(2):74-77.Wang X,Wang Q,Liu G,et al.Water pollution monitoring using remote sensing[J].Remote sensing Technology and Application,2002,17(2):74-77.
[12]童小华,谢欢,仇雁翎,等.基于多光谱遥感的水质监测处理方法与分析[J].同济大学学报,2007,35(5):675-680.Tong X,Xie H,Qiu Y,et al.Multi-spectral remote sensing data based processing method and analysis of water quality monitor[J].Journal of Tongji University,2007,35(5):675-680.
[13]杨静学,陈亮雄,李伟添,等.无人机航测和水色遥感技术在水库管理和保护范围划界和水资源保护中的应用[J].广东水利水电,2016,39(8):180-185.Yang J,Chen L,Li W,et al.Application of UAV aerial technique and water color technique in cemarcation of reservoir and protection of water resource[J].Guangdong Water Resources and Hydropower,2016,39(8):180-185.
[14]郭晓峰,王翠,陈楚汉,等.湄洲湾峰尾围垦工程施工期间海水悬浮泥沙输移扩散的数值模拟[J].应用海洋学学报,2014,33(1):125-132.Guo X,Wang C,Chen C,et al.Numerical simulation of the transport diffusion of suspended matter during the construction of Fengwei reclamation project at Meizhou Bay[J].Journal of Applied Oceanography,2014,33(1):125-132.
[15]李忠强,王瀚宇,刘婷婷,等.基于Pix4Dmapper的无人机数据自动化处理技术探讨[J].海洋科学,2018,42(1):39-44.Li Z,Wang H,Liu T,et al.Investigation of Pix4Dmapper automatic data-processing technology in unmanned aerial vehicles[J].Marine Science,2018,42(1):39-44.
[2]李忠强,唐伟,张震,等.无人机技术在海洋监视监测中的应用研究[J].海洋开发与管理,2014,31(7):42-44.Li Z,Tang W,Zhang Z,et al.Study on the application of UAV technology in marine survey and monitoring[J].Ocean Development and Management,2014,31(7):42-44.
[3]张永年.无人机低空遥感海洋监测应用探讨[J].测绘与空间地理信息,2013,36(8):143-145.Zhang Y.Discussion on application of UAV low-altitude remote sensing marine monitoring[J].Geomatics and Spatial Information Technology,2013,36(8):143-145.
[4]郭忠磊,翟京生,张靓,等.无人机航测系统的海岛礁测绘应用研究[J].海洋测绘,2014,34(4):55-61.Guo Z,Zhai J,Zhang L,et al.Research on UAV photogrammetric systems in areas of islands and reefs[J].Hydrographic Surveying and Charting,2014,34(4):55-61.
[5]王琳,吴正鹏,张晓东,等.利用无人机搭载热红外成像仪探测地下输油管道的初探研究[J].城市勘测,2013,10(5):160-163.Wang L,Wu Z,Zhang X,et al.The preliminary study on using the UAV equipped with the thermal infrared imager to detect the underground oil pipelines[J].Urban Geotechnical Investigation and Surveying,2013,10(5):160-163.
[6]朱婉雪,李仕冀,张旭博,等.基于无人机遥感植被指数优选的田块尺度冬小麦估产[J].农业工程学报,2018,34(11):78-86.Zhu W,Li S,Zhang X,et al.Estimation of winter wheat yield using optimal vegetation indices from unmanned aerial vehicle remote sensing[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(11):78-86.
[7]周在明,杨燕明,陈本清.滩涂湿地入侵种互花米草植被覆盖度的高空间分辨率遥感估算[J].生态学报,2017,37(2):505-512.Zhou Z,Yang Y,Chen B.Estimating the Spartina alterniflora fractional vegetation cover using high spatial resolution remote sensing in a coastal wetland[J].Acta Ecologica Sinica,2017,37(2):505-512.
[8]Koponen S,Pulliainen J.Lake water quality classification with airborne hyper spectral spectrometer and simulated MERIS data[J].Remote Sensing of Environment,2002,79(1):51-59.
[9]Dekker A G,Vos R J,Peters S M.Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOTsensor data[J].International Journal of Remote Sensing,2002,23(1):15-35.
[10]Kloiber S M,Brezonik,P L Olmanson L G,et al.A p rocedure for regional lake water clarity assessment using Landsat multispectral data[J].Remote Sensing of Environment,2002,82(1):38-47.
[11]汪小钦,王钦敏,刘高焕,等.水污染遥感监测[J].遥感技术与应用,2002,17(2):74-77.Wang X,Wang Q,Liu G,et al.Water pollution monitoring using remote sensing[J].Remote sensing Technology and Application,2002,17(2):74-77.
[12]童小华,谢欢,仇雁翎,等.基于多光谱遥感的水质监测处理方法与分析[J].同济大学学报,2007,35(5):675-680.Tong X,Xie H,Qiu Y,et al.Multi-spectral remote sensing data based processing method and analysis of water quality monitor[J].Journal of Tongji University,2007,35(5):675-680.
[13]杨静学,陈亮雄,李伟添,等.无人机航测和水色遥感技术在水库管理和保护范围划界和水资源保护中的应用[J].广东水利水电,2016,39(8):180-185.Yang J,Chen L,Li W,et al.Application of UAV aerial technique and water color technique in cemarcation of reservoir and protection of water resource[J].Guangdong Water Resources and Hydropower,2016,39(8):180-185.
[14]郭晓峰,王翠,陈楚汉,等.湄洲湾峰尾围垦工程施工期间海水悬浮泥沙输移扩散的数值模拟[J].应用海洋学学报,2014,33(1):125-132.Guo X,Wang C,Chen C,et al.Numerical simulation of the transport diffusion of suspended matter during the construction of Fengwei reclamation project at Meizhou Bay[J].Journal of Applied Oceanography,2014,33(1):125-132.
[15]李忠强,王瀚宇,刘婷婷,等.基于Pix4Dmapper的无人机数据自动化处理技术探讨[J].海洋科学,2018,42(1):39-44.Li Z,Wang H,Liu T,et al.Investigation of Pix4Dmapper automatic data-processing technology in unmanned aerial vehicles[J].Marine Science,2018,42(1):39-44.
© 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 |