基于XML的海洋遥感卫星数据规范化研究

结合XML技术和海洋元数据标准,在分析遥感卫星地面站运行情况的基础上提出了一种基于XML的海洋遥感卫星数据格式,旨在为海洋遥感数据格式的规范化和为海洋遥感卫星数据的交换与集成奠定标准基础.     

中国近海TOPEX/POSEIDON卫星测高数据处理的初步结果

本文分析处理了TOPEX/POSEIDON卫星1～82周期的测高数据。重新计算了逆气压改正数;利用共线法计算的TOPEX和POSEIDON之间相对偏差估值为19.9±1cm;将编辑后的海面高与Basic和Rapp计算的平均海面高进行比较,发现二者之间存在明显的系统偏差。     

基于GPS数据的CHAMP卫星简化动力法轨道确定

利用CHAMP卫星星载GPS实测数据,通过非差简化动力学定轨的方法,计算了CHAMP卫星2008年3月3日～10日的轨道,并以GFZ的快速轨道作为参考标准,评价了本文简化动力法轨道精度.结果表明,CHAMP卫星非差简化动力学轨道1D位置精度可达到7cm,1D的速度精度可达到0.1mm/s.     

多代同任务测高卫星数据的系统误差分析

利用T/P卫星、Jason-1卫星以及Jason-2卫星同步段的Corssh数据,研究了黄海海域同步段不同测高卫星的测高系统差,得到了T/P卫星与Jason-1卫星间升轨与降轨系统差为0.074m与0.075m,Jason-1卫星与Jason-2卫星间升轨与降轨系统差为0.066m与0.076m。通过计算多代卫星数据的系统误差,提高了融合数据成果的可靠性。     

基于验潮站资料的HY-2A测高数据质量评定

验潮站资料为评定卫星测高海面高度观测值的精度提供了有效途径。基于数据编辑准则筛选出HY-2A数据，通过引入NCEP实时大气压模型，解决了HY-2A卫星任务后期测高数据产品中部分干对流层延迟项和大气逆压校正项不可用的问题。在此基础上，将HY-2A海面高观测值与验潮站数据进行时空匹配，在选取的9个站点上进行了相关系数和标准差计算。结果表明，两者相关系数平均约为0.676 9，最优可达0.898 7，平均标准差为0.089 5 m。整体验证结果表明，HY-2A卫星测高数据质量符合设计指标，达到预期水平，为海洋重力场反演等应用研究提供了新的可靠数据源。     

利用多代卫星测高数据计算中国近海及邻域重力异常

为提高海洋重力场数据的精度和空间分辨率,联合Jason-1/2、T/P、Envisat、ERS-1/2、Geosat等多代卫星测高数据计算中国近海及邻域(0°~42°N,100°~140°E)2′×2′重力异常。对卫星测高数据分别进行共线处理和自交叉点平差,并以T/P卫星测高数据为基准进行多星数据联合平差,有效削弱了卫星测高数据的时变影响和不协调性;利用逆Vening-Meinesz公式计算重力异常,与船测重力相比,均方根误差为5.4 mgal。结果表明,通过引入高精度的卫星测高数据,结合多项平差处理手段,提高了海洋重力异常的计算精度。     

针对HY-1号卫星CCD图像处理的天津沿海土地利用分析

HY-1卫星成功发射,为利用我国自己的海洋卫星数据,进行海岸调查、海洋环境进行监测提供了前所未有的条件。本文选取了HY-1卫星CCD成像仪数据,针对天津海岸利用情况进行处理和分析,得出初步的分析结论。     

利用多代卫星测高数据计算海洋重力场

联合Jason-1/2、T/P、Envisat、ERS-1/2、Geosat等多代卫星测高数据计算中国近海及邻域（0°~42°N,100°~140°E）2′×2′重力异常。对卫星测高数据分别进行共线处理和自交叉点平差,并以T/P卫星测高数据为基准进行多星数据联合平差,有效削弱了卫星测高数据的时变影响和不协调性;利用逆Vening-Meinesz公式计算重力异常,与船测重力相比,均方根误差为5.4mGal。结果表明,通过引入高精度的卫星测高数据,结合多项平差处理手段,提高了海洋重力异常的计算精度。     

“海洋二号”有效波高数据在多源卫星高度

利用反距离加权法根据不同的方案融合得到2011年10月1日至2012年3月8日“HY-2”和“Jason-1/2”, “ENVISAT”卫星高度计的10 d平均波高, 借助NDBC提供的浮标数据对融合结果进行验证和比较, 结果表明:不同的融合结果均可以很好地反应海洋表面的真实情况;“HY-2”卫星高度计数据在多源卫星高度计数据融合中可以与其他卫星高度计数据一样发挥作用, 甚至可以替代已经停止运行的“ENVISAT”参与多源卫星高度计数据融合。     

自主海洋卫星遥感技术进展与发展方向

回顾国内外海洋卫星遥感技术的发展历程,欧美等国的卫星海洋遥感技术起步较早,目前的技术也较为成熟。总结我国海洋卫星的发展现状,我国已发射3颗自主海洋遥感卫星,HY-1A、HY-1B和HY-2A,HY-2A卫星数据达到了定量化和精细化,和国外同类卫星的测量精度相当。基于国内外卫星海洋遥感技术发展趋势,给出了我国海洋卫星发展规划及自主卫星海洋遥感技术发展方向。     

MERIS遥感数据特性及应用

中等分辨率成像频谱仪(M ER IS)是搭载于由欧洲空间局(ESA)发射的迄今为止最大的综合性环境卫星ENV ISAT-1上的主要传感器,由法国和荷兰共同研制,是目前水色传感器中最有优势的传感器之一。文中主要介绍了M ER IS遥感数据的特点,与M OD IS、SeaW IFS传感器相比,M ER IS在波段设置与辐射灵敏度等方面都有较大的优势,更适合于海洋水色的应用。针对M ER IS的波段设置,重点介绍了M ER IS数据在海洋水色的应用范围与应用原理,并简要介绍其在大气与陆地上的应用。     

An Improved 20-Year Arctic Ocean Altimetric Sea Level Data Record

For ocean and climate research, it is essential to get long-term altimetric sea level data that is as accurate as possible. However, the accuracy of the altimetric data is frequently degraded in the interior of the Arctic Ocean due to the presence of seasonal or permanent sea ice. We have reprocessed ERS-1/2/Envisat satellite altimetry to develop an improved 20-year sea level dataset for the Arctic Ocean. We have developed both an along-track dataset and three-day gridded sea level anomaly (SLA) maps from September 1992 to April 2012. A major improvement in data coverage was gained by tailoring the standard altimetric editing criteria to Arctic conditions. The new reprocessed data has significant increased data coverage with between 4 and 10 times the amount of data in regions such as the Beaufort Gyre region compared with AVISO and RADS datasets. This allows for a more accurate estimation of sea level changes from satellite altimetry in the Arctic Ocean. The reprocessed dataset exhibit a mean sea level trend of 2.1 ± 1.3 mm/year (without Glacial Isostatic Adjustment correction) covering the Arctic Ocean between 66°N and 82°N with significant higher spatial coherency in the ice-covered regions than the RADS and DUACS datasets.     

Jason-2卫星波形重跟踪算法比较

为弥补测高数据在近海区域因为编辑准则被剔除而导致近海测量数据质量不高的缺点,利用5参数模型的两种形式和Ice-2模型对Jason-2卫星在中国南海部分海域的海洋回波波形进行了波形重跟踪的研究,并选择20个海洋回波波形,依据最小二乘原理进行计算、分析、对比,发现5参数模型的指数形式的结果和Ice-2模型结果非常接近。研究结果表明,在开阔的海域,对Jason-2波形进行3种方法波形重跟踪时,可以优先考虑Ice-2模型。波形重跟踪技术能够提高卫星测高数据利用率,为科学研究提供可靠的数据保障。     

Simultaneous Ocean Wave Measurements by the Jason and Topex Satellites,with Buoy and Model Comparisons Special Issue: Jason-1 Calibration/Validation

The verification phase of the Jason-1 satellite altimeter mission presents a unique opportunity for comparing near-simultaneous, independent satellite measurements. Here we examine simultaneous significant wave height measurements by the Jason-1 and TOPEX/Poseidon altimeters. These data are also compared with in situ measurements from deep-ocean buoys and with predicted wave heights from the Wave Watch III operational model. The rms difference between Jason and TOPEX wave heights is 28 cm, and this can be lowered by half through improved outlier editing and filtering of high-frequency noise. Noise is slightly larger in the Jason dataset, exceeding TOPEX by about 7 cm rms at frequencies above 0.05 Hz, which is the frequency at which the coherence between TOPEX and Jason measurements drops to zero. Jason wave heights are more prone to outliers, especially during periods of moderate to high backscatter. Buoy comparisons confirm previous reports that TOPEX wave heights are roughly 5% smaller than buoy measurements for waves between 2 and 5 m; Jason heights in general are 3% smaller than TOPEX. Spurious dips in the TOPEX density function for 3- and 6-m waves, a problem that has existed since the beginning of the mission, can be solved by waveform retracking.     

Simultaneous Ocean Wave Measurements by the Jason and Topex Satellites, with Buoy and Model Comparisons

The verification phase of the Jason-1 satellite altimeter mission presents a unique opportunity for comparing near-simultaneous, independent satellite measurements. Here we examine simultaneous significant wave height measurements by the Jason-1 and TOPEX/Poseidon altimeters. These data are also compared with in situ measurements from deep-ocean buoys and with predicted wave heights from the Wave Watch III operational model. The rms difference between Jason and TOPEX wave heights is 28 cm, and this can be lowered by half through improved outlier editing and filtering of high-frequency noise. Noise is slightly larger in the Jason dataset, exceeding TOPEX by about 7 cm rms at frequencies above 0.05 Hz, which is the frequency at which the coherence between TOPEX and Jason measurements drops to zero. Jason wave heights are more prone to outliers, especially during periods of moderate to high backscatter. Buoy comparisons confirm previous reports that TOPEX wave heights are roughly 5% smaller than buoy measurements for waves between 2 and 5 m; Jason heights in general are 3% smaller than TOPEX. Spurious dips in the TOPEX density function for 3- and 6-m waves, a problem that has existed since the beginning of the mission, can be solved by waveform retracking.     

Application of satellite communication to hydrographic data processing

The Hydrographic Department and the Information Systems Department at the Naval Oceanographic Office (NAVOCEANO) successfully transmitted coastal area sounding and position data collected by USNS John McDonnell, a recently built survey vessel, from the Gulf of Mexico to NAVOCEANO at Stennis Space Center, Mississippi.

Two external modems were used to modulate and demodulate the data that were received from a MICROVAX 3400 aboard USNS McDonnell and sent to the Intergraph Interactive Workstation at NAVOCEANO via the MARISTAT communication satellite. The Kermit file transfer protocol was used to bridge the different operating environments between input/output (I/O) devices and central processors.

Office processors were able to evaluate the data prior to the departure of the survey platform from the area. From this data, smooth sheets‐were produced. Equipment upgrades and more efficient use of satellite availability within the entire INMARSAT system should allow near‐real‐time editing and validation of field hydro‐graphic data.     

HY-2A卫星海面高度数据质量评估

对HY-2A卫星雷达高度计数据进行筛选获取有效的观测点,利用HY-2A卫星第18~23周期数据和同时在轨的Jason-2数据进行交叉点选取,对两颗卫星在交叉点海面高度异常值的差值进行统计与分析,提出了基于交叉点差值统计特征的筛除HY-2A轨道数据方法,评估了HY-2A卫星雷达高度数据质量。结果显示,HY-2A卫星18~23周期阈值筛选去除的点个数占总海洋观测点约12%,HY-2A海面高度异常与Jason-2海面高度异常的标准偏差在7.0 cm,数据精度满足设计精度要求。     

Dependence of Mean Sea Surfaces from Altimeter Data on the Reference Model Used

A mean sea surface model is used as the frame of reference in processing altimeter data. This article focuses on ascertaining the extent to which results depend on the different mean sea surface models used. In particular, we have analyzed the results from the OSU95MSS and the CLS_SHOMv.98.2 models in an area in the North Atlantic Ocean comprising the Canary and Azores Islands. Special attention has been paid to data editing and several criteria were proposed. The amount of detected data is quite small because we used a well corrected data set. However, it was enough to show important relations between the applied criteria and the kind of area. Therefore we analyzed the best way to apply these criteria according to the areas where the points have been found. Singular areas related to several factors have been detected by all the suggested criteria. In particular, rough sea bottom features, dynamic circulation, and amphidromic points of the tidal waves, among others. As a result of this analysis, we have not considered it appropriate to remove all the detected points. Two time-averaged and corrected mean sea surfaces were determined in the test area.     

Dependence of Mean Sea Surfaces from Altimeter Data on the Reference Model Used

A mean sea surface model is used as the frame of reference in processing altimeter data. This article focuses on ascertaining the extent to which results depend on the different mean sea surface models used. In particular, we have analyzed the results from the OSU95MSS and the CLS_SHOMv.98.2 models in an area in the North Atlantic Ocean comprising the Canary and Azores Islands. Special attention has been paid to data editing and several criteria were proposed. The amount of detected data is quite small because we used a well corrected data set. However, it was enough to show important relations between the applied criteria and the kind of area. Therefore we analyzed the best way to apply these criteria according to the areas where the points have been found. Singular areas related to several factors have been detected by all the suggested criteria. In particular, rough sea bottom features, dynamic circulation, and amphidromic points of the tidal waves, among others. As a result of this analysis, we have not considered it appropriate to remove all the detected points. Two time-averaged and corrected mean sea surfaces were determined in the test area.     

模板化数字地图编绘技术的研究与应用

通过研究基于模板的数字地图编绘技术,建立了各类数据处理模型,将制图者的编绘经验融入到模板中,从技术上保证了数字地图编绘的实用性,满足了地理信息获取和地图制图出版的双重要求,实现了数字地图和纸质地图的一体化生产。