海洋一号C(HY-1C)卫星是中国首颗海洋水色业务卫星,其搭载的海岸带成像仪(Coastal Zone Imager, CZI)具有大幅宽、短重访周期的优势,可实现海洋和海岸带的大面积观测。作为光学传感器,CZI受云影响严重,准确识别云是CZI数据处理的关键,但...海洋一号C(HY-1C)卫星是中国首颗海洋水色业务卫星,其搭载的海岸带成像仪(Coastal Zone Imager, CZI)具有大幅宽、短重访周期的优势,可实现海洋和海岸带的大面积观测。作为光学传感器,CZI受云影响严重,准确识别云是CZI数据处理的关键,但是CZI缺少红外和短波红外等对云敏感的波段,云检测难度大。针对该问题,本文提出一种融合多尺度卷积和侧窗滤波的轻量化云检测方法,该方法通过多尺度卷积获取云的不同尺度特征,通过侧窗滤波突出边缘特征,减少椒盐噪声的影响,提升云边缘检测的精度。实验结果表明,本文所提出的方法可有效进行云检测,在云边缘提取方面表现较好,F1-score达92.77%,Kappa系数达0.89,与现有云检测方法相比优势明显,且模型训练速度快、参数量少,可为HY-1C CZI遥感影像处理提供有力支撑。展开更多
红夜光藻是我国主要的赤潮优势种,在渤海、黄海、东海和南海均有发生。近年来,红夜光藻赤潮发生频率明显上升,监测需求迫切。但红夜光藻赤潮发生具有分布范围广、变化速度快、多呈条带状分布的特点,其探测对卫星影像空间分辨率、覆盖范...红夜光藻是我国主要的赤潮优势种,在渤海、黄海、东海和南海均有发生。近年来,红夜光藻赤潮发生频率明显上升,监测需求迫切。但红夜光藻赤潮发生具有分布范围广、变化速度快、多呈条带状分布的特点,其探测对卫星影像空间分辨率、覆盖范围和重访周期要求高。虽然水色卫星在赤潮监测中发挥了重要作用,但其空间分辨率低,无法准确探测条带状分布的红夜光藻赤潮。海洋一号C、D(HY-1C/D)卫星搭载的海岸带成像仪(Coastal Zone Imager,CZI)以其高空间分辨率、大幅宽和短重访周期的优势,被越来越多地用于赤潮监测。现有的红夜光藻赤潮HY-1C/D CZI探测模型大多基于深度学习方法,需要大量赤潮样本,但赤潮样本获取困难,影响模型的精度。因此,本文以2022年3月发生在广东省汕尾市红海湾的红夜光藻赤潮为例,分析了红夜光藻赤潮光谱特征,基于红夜光藻赤潮在红光和近红外波段的高反射特性和浑浊水体在绿光波段的高反射特性,构建了一个面向HY-1C/D CZI的红夜光藻赤潮探测方法。实验结果表明,该方法可以有效地探测赤潮,并避免浑浊水体的干扰,精确率和F1-Score达到89.72%和0.90。而且,该方法具有较好的适用性,可适用于不同海洋环境、不同宽波段卫星传感器的红夜光藻赤潮探测。展开更多
The impacts of the Hong Kong-Zhuhai-Macao Bridge(HKZMB)on suspended sediment content(SSC)were analysed in the Zhujiang River Estuary based on data from HY-1C,which was launched in September 2018 in China,carrying Coas...The impacts of the Hong Kong-Zhuhai-Macao Bridge(HKZMB)on suspended sediment content(SSC)were analysed in the Zhujiang River Estuary based on data from HY-1C,which was launched in September 2018 in China,carrying Coastal Zone Imager(CZI)and Chinese Ocean Color and Temperature Scanner on it.A new SSC inversion model was established based on the relationship between in-situ SSC and the remote sensing reflectance in red and near-infrared bands of CZI image.HY-1C satellite data obtained from October to December 2019 were applied to retrieve SSC in the Zhujiang River Estuary.The results show that SSC around the HKZMB is ranging from 20 mg/L to 95 mg/L.SSC change obviously on two sides of the bridge.During flooding and ebbing period,SSC increases obviously downstream of the bridge.SSC difference between upstream and downstream is ranging from 5 mg/L to 20 mg/L.Currents flowing across the HKZMB,the change trend of SSC in most places upstream and downstream is almost the same that SSC downstream of the bridge is higher than SSC upstream.The tidal currents interact with bridge piers,inducing vortexes downstream,leading the sediment to re-suspend downstream of the bridge piers.Other factors,including seafloor topography and wind,can also contribute to the distribution of SSC in the Zhujiang River Estuary.展开更多
海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影...海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影像的绿潮监测能力,并与250 m分辨率的MODIS提取结果进行了对比分析。结果表明,CZI影像的绿潮平均漏检率只有MODIS影像的1/5左右,绿潮覆盖面积比MODIS影像小50%以上。MODIS和CZI影像的绿潮覆盖面积呈线性相关,将MODIS影像的绿潮覆盖面积转换为CZI结果;该结果显示,2019年、2021年度绿潮最大覆盖面积为2000 km^(2)左右,是2020年同期的6倍左右。在绿潮监测方面,相比于MODIS,CZI影像的绿潮漏检率较低且覆盖面积更接近真实参考值。本研究建立了CZI与目前较常用的MODIS绿潮覆盖面积的转换关系,可弥补CZI观测频次的缺陷,进而实现绿潮高频次观测。展开更多
With a spatial resolution of 50 m,a revisit time of three days,and a swath of 950 km,the coastal zone imager(CZI)offers great potential in monitoring coastal zone dynamics.Accurate atmo-spheric correction(AC)is needed...With a spatial resolution of 50 m,a revisit time of three days,and a swath of 950 km,the coastal zone imager(CZI)offers great potential in monitoring coastal zone dynamics.Accurate atmo-spheric correction(AC)is needed to exploit the potential of quantitative ocean color inversion.However,due to the band setting of CZI,the AC over coastal waters in the western Pacific region with complex optical properties cannot be realized easily.This research introduces a novel neural network(NN)AC algorithm for CZI data over coastal waters.Total 100,000 match-ups of HY-1 C CZI-observed reflectance at the top-of-atmosphere and Operational Land Imager(OLI)-retrieved high-quality remote sensing reflectance(Rrs)at the CZI bands are built to train the NN model.These reflectance data are obtained from the standard AC algorithm in the SeaDAS.Results indicate that the distributions of the CZI retrieved Rrs were consistent with the quasi-synchronous OLI data,but the spatial information from the CZI is more detailed.Then,the accuracy of the CZI data for AC is evaluated using the multi-source in-situ data.Results further show that the NN-AC can successfully retrieve Rrs for CZI and the coefficients of determination in the blue,green,red,and near-infrared bands were 0.70,0.77,0.76,and 0.67,respectively.The NN algorithm does not depend on shortwave-infrared bands and runs very fast once properly trained.展开更多
文摘海洋一号C(HY-1C)卫星是中国首颗海洋水色业务卫星,其搭载的海岸带成像仪(Coastal Zone Imager, CZI)具有大幅宽、短重访周期的优势,可实现海洋和海岸带的大面积观测。作为光学传感器,CZI受云影响严重,准确识别云是CZI数据处理的关键,但是CZI缺少红外和短波红外等对云敏感的波段,云检测难度大。针对该问题,本文提出一种融合多尺度卷积和侧窗滤波的轻量化云检测方法,该方法通过多尺度卷积获取云的不同尺度特征,通过侧窗滤波突出边缘特征,减少椒盐噪声的影响,提升云边缘检测的精度。实验结果表明,本文所提出的方法可有效进行云检测,在云边缘提取方面表现较好,F1-score达92.77%,Kappa系数达0.89,与现有云检测方法相比优势明显,且模型训练速度快、参数量少,可为HY-1C CZI遥感影像处理提供有力支撑。
文摘红夜光藻是我国主要的赤潮优势种,在渤海、黄海、东海和南海均有发生。近年来,红夜光藻赤潮发生频率明显上升,监测需求迫切。但红夜光藻赤潮发生具有分布范围广、变化速度快、多呈条带状分布的特点,其探测对卫星影像空间分辨率、覆盖范围和重访周期要求高。虽然水色卫星在赤潮监测中发挥了重要作用,但其空间分辨率低,无法准确探测条带状分布的红夜光藻赤潮。海洋一号C、D(HY-1C/D)卫星搭载的海岸带成像仪(Coastal Zone Imager,CZI)以其高空间分辨率、大幅宽和短重访周期的优势,被越来越多地用于赤潮监测。现有的红夜光藻赤潮HY-1C/D CZI探测模型大多基于深度学习方法,需要大量赤潮样本,但赤潮样本获取困难,影响模型的精度。因此,本文以2022年3月发生在广东省汕尾市红海湾的红夜光藻赤潮为例,分析了红夜光藻赤潮光谱特征,基于红夜光藻赤潮在红光和近红外波段的高反射特性和浑浊水体在绿光波段的高反射特性,构建了一个面向HY-1C/D CZI的红夜光藻赤潮探测方法。实验结果表明,该方法可以有效地探测赤潮,并避免浑浊水体的干扰,精确率和F1-Score达到89.72%和0.90。而且,该方法具有较好的适用性,可适用于不同海洋环境、不同宽波段卫星传感器的红夜光藻赤潮探测。
基金The Zhejiang Key Science and Technology Project under contract No.2020C02004the National Key Research and Development Program of China under contract Nos 2017YFA0604901 and 2017YFA0604902+3 种基金the Basic Public Welfare Research Program of Zhejiang Province under contract No.LGF21D010004the National Key Research and Development Program of China under contract No.2016YFC1401605the National Natural Science Foundation of China under contract No.41776183the Curriculum Ideological and Political Teaching Research Project in the Universities of Zhejiang Province(Grouped Ideological and Political Teaching Model Research in the Subject of Marine Remote Sensing)。
文摘The impacts of the Hong Kong-Zhuhai-Macao Bridge(HKZMB)on suspended sediment content(SSC)were analysed in the Zhujiang River Estuary based on data from HY-1C,which was launched in September 2018 in China,carrying Coastal Zone Imager(CZI)and Chinese Ocean Color and Temperature Scanner on it.A new SSC inversion model was established based on the relationship between in-situ SSC and the remote sensing reflectance in red and near-infrared bands of CZI image.HY-1C satellite data obtained from October to December 2019 were applied to retrieve SSC in the Zhujiang River Estuary.The results show that SSC around the HKZMB is ranging from 20 mg/L to 95 mg/L.SSC change obviously on two sides of the bridge.During flooding and ebbing period,SSC increases obviously downstream of the bridge.SSC difference between upstream and downstream is ranging from 5 mg/L to 20 mg/L.Currents flowing across the HKZMB,the change trend of SSC in most places upstream and downstream is almost the same that SSC downstream of the bridge is higher than SSC upstream.The tidal currents interact with bridge piers,inducing vortexes downstream,leading the sediment to re-suspend downstream of the bridge piers.Other factors,including seafloor topography and wind,can also contribute to the distribution of SSC in the Zhujiang River Estuary.
文摘海洋一号C(HY-1C)卫星搭载的海岸带成像仪CZI(Coastal Zone Imager)广泛应用于中国近海生态灾害监测。本研究以16 m分辨率的高分六号WFV(Wide Field of View)影像提取的绿潮覆盖面积作为参考值,从绿潮漏检率和覆盖面积定量评估了CZI影像的绿潮监测能力,并与250 m分辨率的MODIS提取结果进行了对比分析。结果表明,CZI影像的绿潮平均漏检率只有MODIS影像的1/5左右,绿潮覆盖面积比MODIS影像小50%以上。MODIS和CZI影像的绿潮覆盖面积呈线性相关,将MODIS影像的绿潮覆盖面积转换为CZI结果;该结果显示,2019年、2021年度绿潮最大覆盖面积为2000 km^(2)左右,是2020年同期的6倍左右。在绿潮监测方面,相比于MODIS,CZI影像的绿潮漏检率较低且覆盖面积更接近真实参考值。本研究建立了CZI与目前较常用的MODIS绿潮覆盖面积的转换关系,可弥补CZI观测频次的缺陷,进而实现绿潮高频次观测。
基金the National Key R&D Program of China[grant numbers 2018YFB0504900 and 2018YFB0504904]the National Natural Science Foundation of China[grant numbers 42071325 and 42176183]+1 种基金LIESMARS Special Research Fundingthe“985 Project”of Wuhan University,and Special funds of State Key Laboratory for equipment.
文摘With a spatial resolution of 50 m,a revisit time of three days,and a swath of 950 km,the coastal zone imager(CZI)offers great potential in monitoring coastal zone dynamics.Accurate atmo-spheric correction(AC)is needed to exploit the potential of quantitative ocean color inversion.However,due to the band setting of CZI,the AC over coastal waters in the western Pacific region with complex optical properties cannot be realized easily.This research introduces a novel neural network(NN)AC algorithm for CZI data over coastal waters.Total 100,000 match-ups of HY-1 C CZI-observed reflectance at the top-of-atmosphere and Operational Land Imager(OLI)-retrieved high-quality remote sensing reflectance(Rrs)at the CZI bands are built to train the NN model.These reflectance data are obtained from the standard AC algorithm in the SeaDAS.Results indicate that the distributions of the CZI retrieved Rrs were consistent with the quasi-synchronous OLI data,but the spatial information from the CZI is more detailed.Then,the accuracy of the CZI data for AC is evaluated using the multi-source in-situ data.Results further show that the NN-AC can successfully retrieve Rrs for CZI and the coefficients of determination in the blue,green,red,and near-infrared bands were 0.70,0.77,0.76,and 0.67,respectively.The NN algorithm does not depend on shortwave-infrared bands and runs very fast once properly trained.
