Improved Priority‐Flood method for depression filling by redundant calculation optimization in local micro‐relief areas

Depression filling is a critical step in distributed hydrological modeling using digital elevation models (DEMs). The traditional Priority‐Flood (PF) approach is widely used due to its relatively high efficiency when dealing with a small‐sized DEM. However, it seems inadequate and inefficient when dealing with large high‐resolution DEMs. In this work, we examined the relationship between the PF algorithm calculation process and the topographical characteristics of depressions, and found significant redundant calculations in the local micro‐relief areas in the conventional PF algorithm. As such calculations require more time when dealing with large DEMs, we thus propose a new variant of the PF algorithm, wherein redundant points and calculations are recognized and eliminated based on the local micro‐relief water‐flow characteristics of the depression‐filling process. In addition, depressions and flatlands were optimally processed by a quick queue to improve the efficiency of the process. The proposed method was applied and validated in eight case areas using the Shuttle Radar Topography Mission digital elevation model (SRTM‐DEM) with 1 arc‐second resolution. These selected areas have different data sizes. A comparative analysis among the proposed method, the Wang and Liu‐based PF, the improved Barnes‐based PF, the improved Zhou‐based PF, and the Planchon and Darboux (P&D) algorithms was conducted to evaluate the accuracy and efficiency of the proposed algorithm. The results showed that the proposed algorithm is 43.2% (maximum) faster than Wang and Liu's variant of the PF method, with an average of 31.8%. In addition, the proposed algorithm achieved similar performance to the improved Zhou‐based PF algorithm, though our algorithm has the advantage of being simpler. The optimal strategies using the proposed algorithm can be employed in various landforms with high efficiency. The proposed method can also achieve good depression filling, even with large amounts of DEM data.     

湿地资源调查更新若干问题探讨

对古浪县第二次全国湿地资源调查的技术、结果进行了系统分析,探索了研究区内湿地资源调查更新的方法,通过"天空地"协同和"互联网+"的调查更新技术全面更新研究区内湿地资源调查数据库,以全面掌握湿地资源状况。研究结果:1)古浪县第二次湿地资源调查范围内的非湿地类型面积达4 615.35 hm2,占全县第二次湿地调查总面积的59.31%。2)变更后县域内湿地资源总面积4 131.54 hm2,以河流水面、内陆滩涂、水库水面、沟渠为主要用地类型,较第二次调查湿地面积净减少3 650.25 hm2。3)"天空地"协同遥感监测技术为湿地资源变更监测提供高精度多源数据,保证了调查、监测的精度和准确性。     

灰关联GM(1,N)模型在建筑物沉降分析中的应用

针对建筑物沉降变形中各监测点相互关联、相互影响的情形,可将灰色系统理论中的GM(1,N)模型引入到建筑物沉降分析中。本文利用灰度关联方法确定相关因子的关联度,建立GM(1,N)模型,并与回归分析、GM(1,1)模型比较。通过工程实例,得出灰关联GM(1,N)模型预测精度明显高于另外两种模型,验证了该模型在进行建筑物沉降分析预测中应用的可行性。     

基于FME实现CAD向GIS数据转换的关键技术研究

针对CAD数据与GIS数据的转换问题,本文探讨了CAD图层与GIS图层对应关系、CAD块转换、CAD注记转换、CAD扩展属性转换和CAD面转换5个技术点,研究成果应用于多个项目中,为实现CAD数据与GIS数据的转换提供了技术思路与技术指导。     

不同GPS掩星电离层剖面产品相关性分析

将在一定时空限定范围内的不同低轨卫星COSMIC、GRACE、CHAMP、FY3C的电离层掩星电子密度剖面定义为一个掩星对来对比分析不同类型掩星电离层产品。结果表明：COSMIC掩星对之间的电子密度剖面整体轮廓符合得很好,电子密度剖面主要在250 km以下和500 km以上存在较大的偏差,250~500 km的电子密度整体偏差较小,统计得到的COSMIC掩星对的电子密度参量NmF2和hmF2的相关系数能分别达到0.99和0.97,具有高度相关性,不同COSMIC卫星之间没有明显的系统误差;COSMIC、GRACE、CHAMP和FY3C不同低轨卫星间的电子密度剖面略有差异,通过统计电子密度参量NmF2和hmF2之间的相关系数,COSMIC和CHAMP的相关系数分别为0.95和0.86,COSMIC和GRACE的相关系数分别为0.98和0.94,COSMIC和FY3C的相关系数分别为0.96和0.92,不同掩星类型之间的电子密度参量之间也具有高度相关性,验证了不同卫星任务GPS掩星电离层剖面的一致性。     

基于GPS新型L5信号的地表雪深反演研究

利用GPS多路径反射信号测量地表雪深具有全天候和高时空分辨率的特点,因此其可作为一种代替气象站监测雪深的新手段。然而,先前大多数研究仅使用了GPS L1和L2C波段信噪比数据探测积雪深度。为验证新型的L5信号在雪深反演方面的优越性,本文阐述了GPS-R技术反演雪深的原理,利用Lomb-Scargle周期图法所处理的受积雪表层影响的信噪比数据计算了频谱振幅强度,通过获取频谱特征值与天线高度的关系求解雪深值,最后分别与L1反演结果和实测雪深数据进行了对比。试验结果表明：与现有的GPS-R测量雪深结果相比,利用新型的L5反射信号反演地表雪深的精度更佳;采用GPS-R技术探测雪深对把握测站区域内的雪深变化情况和淡水资源储量具有重要价值。     

多源高分辨率DOM批量快速制作方法研究

随着遥感数据在自然资源调查中的广泛应用,对多源高分辨率遥感影像“一张图”批量快速制作有了更高的需求。本文以广西壮族自治区北海市银海区作为试验区,利用Pixel Engine软件的“RS+GIS+Photoshop”算法,首先,针对多源高分辨率遥感卫星数据特点,制定相应的数据处理流程,自动化制作单景DOM;然后,以县级辖区为单位,批量快速制作县级辖区DOM;最后,从制作精度和速度两个方面,将该方法制作得到的DOM成果与人工处理成果进行对比,分析该方法的可行性,提出了一种快速、有效的多源高分辨率DOM制作方法。     

建筑物侧面轮廓线约束的高分辨率遥感影像建筑物高度估算方法

针对现有利用阴影长度法提取建筑物高度时存在的阴影间相互遮挡问题,提出了一种基于建筑物侧面轮廓线进行建筑物高度估算的新方法。首先,利用RPC模型计算建筑物像点位移的方向与卫星成像角度,再将遥感影像进行旋转,使建筑物像点位移沿水平方向;然后,利用Canny算法进行轮廓检测,并构建一定长度的矩形形态学结构元素,对轮廓图像进行形态学开运算,以提取侧面轮廓线,再利用Hough变换与建筑物角点约束,对所提取的轮廓线进一步筛选;最后,根据卫星侧视成像时建筑物高度与像点位移的几何关系进行建筑物的高度估算。利用实际的高分辨率卫星影像对本文方法进行了验证,并与阴影法估算建筑物高度进行了对比。试验结果证明,利用建筑物侧面轮廓线进行建筑物高度估算平均误差可以达到0.7 m,且实际精度优于使用阴影法进行建筑物高度估算。     

Status of Satellite Orbit Determination and Time Synchronization Technology for Global Navigation Satellite Systems

In the form of satellite ephemerides and clock parameters, the space datum and system time information of one global navigation satellite system (GNSS) is transferred to users. With the continuous updating in the satellite payload such as the high-precision atomic clock, the monitoring and tracking technique such as the inter-satellite link, and in the data processing technique, the accuracy and real-time performance of the satellite ephemeris and clock error products are steadily improved. Starting from December 27th, 2018, the BeiDou Navigation System 3, or BDS-3, has provided the accurate and reliable basic positioning, navigation, and timing (PNT) service for the users in the countries within the “one belt and one road”. This paper has summarized the faced challenges of the precise orbit determination and time synchronization from the regional BDS-2 system to the BDS-3 global system, and the specific solutions at the control segment. In addition, this paper has compared the BDS with other GNSS systems in terms of technical characteristics. Finally, aiming at a higher accuracy and more reliable PNT service, the road map of precise orbit determination and time synchronization technique for the next generation navigation systems is discussed, which will provide a reference for developing the global navigation satellite systems with an even higher accuracy.     

无人海洋测绘技术体系构建

随着无人技术的快速发展,无人测绘的时代即将到来。本文分析了无人时代技术特征与海洋测绘发展机遇;讨论了无人海洋测绘新理念,构建了无人海洋测绘技术体系,论述了无人海洋测绘技术关键技术;展望了无人海洋测绘技术发展趋势,及其在海洋经济、海洋可持续发展中的应用前景。