Elevation change monitoring of the Antarctic ice sheet has been a key issue in global change research.Satellite altimetry has been proven to be effective in detecting ice sheet variations. With the development of ICES...Elevation change monitoring of the Antarctic ice sheet has been a key issue in global change research.Satellite altimetry has been proven to be effective in detecting ice sheet variations. With the development of ICESat-2, many elevation observations can be used to derive elevation changes. However, the large amount of multitemporal data may include anomalous data points, increasing the uncertainty of the results. In this work, we improved the traditional repeat track method by introducing the Institute of Geodesy and Geophysics Ⅲ(IGGⅢ) method to obtain high-accuracy estimates of elevation change. The improved method was applied to analyze elevation changes along the transect from Zhongshan Station to Dome A in East Antarctica via ICESat-2 satellite altimetry data. The results show that the improved and traditional methods yield consistent numerical and spatial elevation change distributions. The elevation change calculated via the traditional method is 0.033 ± 0.131 m/yr, whereas the elevation change estimated via the IGGⅢ robust estimation method is 0.033 ± 0.109 m/yr from March 2019 to December 2021.In terms of spatial distribution, elevation changes in inland areas remain close to equilibrium, whereas regions with steeper ice sheet margins exhibit positive accumulation trends in elevation changes. The improved method reduces the standard error of the adjustment function from 0.975 to 0.691 m/yr. The improvement is particularly remarkable in the area between 72°S and 77°S. The results demonstrate that the IGGⅢ method effectively reduces errors caused by the inclusion of anomalous data and maintains the high data utilization rate of repeat-orbit methods.展开更多
冰、云和陆地高程卫星2号(ice,cloud and land elevation satellite-2,ICESat-2)搭载了先进地形激光测高系统(advanced topographic laser altimeter system,ATLAS),该系统采用光子计数探测模式,可获取高精度的地表高程信息。ATLAS使用5...冰、云和陆地高程卫星2号(ice,cloud and land elevation satellite-2,ICESat-2)搭载了先进地形激光测高系统(advanced topographic laser altimeter system,ATLAS),该系统采用光子计数探测模式,可获取高精度的地表高程信息。ATLAS使用532 nm波段激光器,具备一定的水深探测能力,为星载数据近岸水深探测提供了新手段。利用ICESat-2ATLAS数据进行测深,关键问题是如何实现不同区域、不同环境、不同密度分布条件下信号光子的自动探测与提取。为解决此问题,提出了一种基于自适应空间滤波的ICESat-2数据测深方法,该方法首先将水面以上、水面和水下区域的原始光子进行分离,随后基于可变椭圆密度滤波核精确提取水面与水底光子,椭圆密度滤波核参数根据不同水深下光子密度的分布特点自适应确定,最终实现浅海水深测量。实验结果表明,所提方法获取的ICESat-2测深结果与机载激光雷达测深结果的相关系数达到0.93,均方根误差为0.51 m,具有较高的测深精度。展开更多
ICESat-2(Ice,Cloud and Land Elevation Satellite 2)卫星激光雷达数据被广泛应用于地形地貌测绘、森林监测、水域监测等多个领域。当ICESat-2飞越海面时,可以检测到被海面反射回的微弱光子信号,其反映了海面的起伏状态,但同时也包含...ICESat-2(Ice,Cloud and Land Elevation Satellite 2)卫星激光雷达数据被广泛应用于地形地貌测绘、森林监测、水域监测等多个领域。当ICESat-2飞越海面时,可以检测到被海面反射回的微弱光子信号,其反映了海面的起伏状态,但同时也包含了设备噪声、大气颗粒散射噪声、背景干扰噪声等大量噪声光子。本研究提出了一种新的海面信号光子提取和海浪要素反演方法,首先将原始ICESat-2数据沿垂直方向均匀分段,统计各段内光子数,对其进行高斯拟合和迭代中值滤波,确定精确的海面光子上下界,从而提取出海面信号光子。进一步采用支持向量回归拟合,提取瞬时海面轮廓。在此基础上,利用频谱分析方法计算出有效波高和初步海浪峰值波长,通过对同步的强弱激光束相位相干分析,估算海浪波向,并修正海浪峰值波长和计算海浪峰值周期。对来自好望角和萨摩亚海域的24条轨道ICESat-2数据进行海面光子提取和海浪要素反演,并将结果与ERA5再分析数据进行对比验证。结果表明,海浪有效波高、波向和峰值周期的均方根误差(RMSE)分别为0.12 m、28.58°和0.48 s,表明该方法具有较高的海浪要素反演精度,具备进一步探索更大范围激光雷达数据海浪要素提取和分析的潜力。展开更多
重复轨道法是利用测高卫星监测南极冰盖高程变化的重要方法。在利用重复轨道方法计算冰盖高程变化时,引入一种基于抗差估计的方法(insrtitue of geodesy and geophysicsⅢ,IGG Ⅲ)取代传统的最小二乘方法(least square,LS)。利用2019年...重复轨道法是利用测高卫星监测南极冰盖高程变化的重要方法。在利用重复轨道方法计算冰盖高程变化时,引入一种基于抗差估计的方法(insrtitue of geodesy and geophysicsⅢ,IGG Ⅲ)取代传统的最小二乘方法(least square,LS)。利用2019年3月至2021年12月的ICESat-2陆冰高程数据,分别采用LS方法和IGG Ⅲ方法在东南极Totten冰川流域进行了实验。结果表明,该流域分别呈现出-0.038±0.163 m/yr和-0.040±0.136 m/yr的高程降低趋势,说明IGG Ⅲ抗差估计方法能够在保留重复轨道方法高数据利用率的基础上,有效地减少异常数据被错误引入产生的误差。利用MEaSUREs ITS_LIVE高程变化产品对两种方法计算的结果进行了对比,IGG Ⅲ方法的结果在空间分布上具有更好的一致性。展开更多
Block Adjustment(BA)is one of the essential techniques for producing high-precision geospatial 3D data products with optical stereo satellite imagery.For block adjustment with few ground-control points or without grou...Block Adjustment(BA)is one of the essential techniques for producing high-precision geospatial 3D data products with optical stereo satellite imagery.For block adjustment with few ground-control points or without ground control,the vertical error of the model is the decisive factor that constrains the accuracy of 3D data products.The elevation data obtained by spaceborne laser altimeter have the advantages of short update periods,high positioning precision,and low acquisition cost,providing sufficient data support for improving the elevation accuracy of stereo models through the combined BA.This paper proposes a geometric positioning model based on the integration of Optical Satellite Stereo Imagery(OSSI)and spaceborne laser altimeter data.Firstly,we elaborate the principle and necessity of this work through a literature review of existing methods.Then,the framework of our geo-positioning models.Secondly,four key technologies of the proposed model are expounded in order,including the acquisition and management of global Laser Control Points,the association of LCPs and OSSI,the block adjustment model combining LCPs with OSSI,and the accuracy estimation and quality control of the combined BA.Next,the combined BA experiment using Ziyuan-3(ZY-3)OSSI and ICESat-2 laser data was carried out at the testing site in Shandong Province,China.Experimental results prove that our method can automatically select LCPs with high accuracy.The elevation deviation of the combined BA eventually achieved the Mean Error(ME)of 0.06 m and the Root Mean Square Error(RMSE)of 1.18 m,much lower than the ME of 13.20 m and the RMSE of 3.88 m before the block adjustment.A further research direction will be how to perform more adequate accuracy analysis and quality control using massive laser points as checkpoints.展开更多
基金supported by the National Key Research and Development Program of China under grant number 2023YFC2809103the Fundamental Research Funds for the Central Universities under grant numbers 2042022kf1204, 2042022kf1069, 2042023gf0012, 2042022dx0001+1 种基金the Hubei Provincial Natural Science Foundation of China under grant number 2022CFB081the State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology under grant number SKLGED2023-2-6
文摘Elevation change monitoring of the Antarctic ice sheet has been a key issue in global change research.Satellite altimetry has been proven to be effective in detecting ice sheet variations. With the development of ICESat-2, many elevation observations can be used to derive elevation changes. However, the large amount of multitemporal data may include anomalous data points, increasing the uncertainty of the results. In this work, we improved the traditional repeat track method by introducing the Institute of Geodesy and Geophysics Ⅲ(IGGⅢ) method to obtain high-accuracy estimates of elevation change. The improved method was applied to analyze elevation changes along the transect from Zhongshan Station to Dome A in East Antarctica via ICESat-2 satellite altimetry data. The results show that the improved and traditional methods yield consistent numerical and spatial elevation change distributions. The elevation change calculated via the traditional method is 0.033 ± 0.131 m/yr, whereas the elevation change estimated via the IGGⅢ robust estimation method is 0.033 ± 0.109 m/yr from March 2019 to December 2021.In terms of spatial distribution, elevation changes in inland areas remain close to equilibrium, whereas regions with steeper ice sheet margins exhibit positive accumulation trends in elevation changes. The improved method reduces the standard error of the adjustment function from 0.975 to 0.691 m/yr. The improvement is particularly remarkable in the area between 72°S and 77°S. The results demonstrate that the IGGⅢ method effectively reduces errors caused by the inclusion of anomalous data and maintains the high data utilization rate of repeat-orbit methods.
文摘ICESat-2(Ice,Cloud and Land Elevation Satellite 2)卫星激光雷达数据被广泛应用于地形地貌测绘、森林监测、水域监测等多个领域。当ICESat-2飞越海面时,可以检测到被海面反射回的微弱光子信号,其反映了海面的起伏状态,但同时也包含了设备噪声、大气颗粒散射噪声、背景干扰噪声等大量噪声光子。本研究提出了一种新的海面信号光子提取和海浪要素反演方法,首先将原始ICESat-2数据沿垂直方向均匀分段,统计各段内光子数,对其进行高斯拟合和迭代中值滤波,确定精确的海面光子上下界,从而提取出海面信号光子。进一步采用支持向量回归拟合,提取瞬时海面轮廓。在此基础上,利用频谱分析方法计算出有效波高和初步海浪峰值波长,通过对同步的强弱激光束相位相干分析,估算海浪波向,并修正海浪峰值波长和计算海浪峰值周期。对来自好望角和萨摩亚海域的24条轨道ICESat-2数据进行海面光子提取和海浪要素反演,并将结果与ERA5再分析数据进行对比验证。结果表明,海浪有效波高、波向和峰值周期的均方根误差(RMSE)分别为0.12 m、28.58°和0.48 s,表明该方法具有较高的海浪要素反演精度,具备进一步探索更大范围激光雷达数据海浪要素提取和分析的潜力。
基金supported by the National Science Fund for Distinguished Young Scholars[grant number 61825103]the Fundamental Research Funds for The Central Universities[grant number 2042022kf1002].
文摘Block Adjustment(BA)is one of the essential techniques for producing high-precision geospatial 3D data products with optical stereo satellite imagery.For block adjustment with few ground-control points or without ground control,the vertical error of the model is the decisive factor that constrains the accuracy of 3D data products.The elevation data obtained by spaceborne laser altimeter have the advantages of short update periods,high positioning precision,and low acquisition cost,providing sufficient data support for improving the elevation accuracy of stereo models through the combined BA.This paper proposes a geometric positioning model based on the integration of Optical Satellite Stereo Imagery(OSSI)and spaceborne laser altimeter data.Firstly,we elaborate the principle and necessity of this work through a literature review of existing methods.Then,the framework of our geo-positioning models.Secondly,four key technologies of the proposed model are expounded in order,including the acquisition and management of global Laser Control Points,the association of LCPs and OSSI,the block adjustment model combining LCPs with OSSI,and the accuracy estimation and quality control of the combined BA.Next,the combined BA experiment using Ziyuan-3(ZY-3)OSSI and ICESat-2 laser data was carried out at the testing site in Shandong Province,China.Experimental results prove that our method can automatically select LCPs with high accuracy.The elevation deviation of the combined BA eventually achieved the Mean Error(ME)of 0.06 m and the Root Mean Square Error(RMSE)of 1.18 m,much lower than the ME of 13.20 m and the RMSE of 3.88 m before the block adjustment.A further research direction will be how to perform more adequate accuracy analysis and quality control using massive laser points as checkpoints.
