轻小型无人机遥感及其行业应用进展

无人机是低空领域准确、灵活、高效获取多种类型高分辨率遥感数据的重要载体,无人机遥感技术在行业应用创新和管理部门科学决策之间构筑起信息沟通的关键桥梁。随着科技的进步、大数据时代的来临,无人机遥感系统的硬件设备、信息提取方法都取得了飞速的发展;同时其在国民经济主要行业领域的应用也面临着前所未有的机遇和挑战。论文首先介绍了无人机遥感系统的硬件研发进展,并指出轻小型、高精度、标准化与集成化是未来无人机遥感系统发展的总体趋势。其次,详细介绍了目前轻小型无人机遥感应用在农业、林草业、电力、测绘、大气探测和地质灾害等行业的应用现状,指出实现无人机多源遥感数据获取、融合、分析和提取的综合平台是未来轻小型无人机在民用领域行业应用创新的关键所在。最后,针对载荷与飞行平台的一体化集成应用、无人机组网作业、海量数据管理和信息自动化提取等发展趋势提出了几点思考。轻小型无人机遥感在国民经济各行业应用的普及化和标准化,将有助于国家和区域社会经济的健康发展。     

多层电测深曲线的定量解释方法

本文主要介绍了用于多层电测深曲线解释的切线法(图解作图法)和曲线拟合法。对图解切线法的应用条件、简单原理和操作步骤作了简单介绍。较详细介绍了实测曲线和理论曲线的拟合法。对于水平均匀的多层介质条件,目前计算电测深曲线多采用数字滤波法,在解反演问题时将实测曲线和理论曲线进行拟合。本文给出了应用实例。作者认为曲线拟合法可提高计算精度。在今后应是主要的方法之一。     

一次电线积冰个例的数据处理及关联度分析

利用在四川省阿坝、甘孜和雅安布置的3个称重式电线积冰自动观测站2017年2月4—5日观测资料讨论该装置观测数据处理方法并分析所观测气象要素与数据的关联度。结果表明:基于T值的小波滤波方法具有良好的滤波效果,经过小波滤波后原始数据中的干扰量得到了有效抑制和消除,保留了数据变化的特征信息。通过灰色综合关联度分析,气象要素与电线积冰称重数据的关联度大小依次为温度、气压和风速,关联度在0.516~0.632之间;综合风向玫瑰图分析发现,迎风向导线积冰的增长大于顺风向。     

斜井三维VSP多波射线正演方法

基于费马原理和 Snell 定理,对三维 VSP两点射线追踪问题作了研究,给出了三维逐段迭代射线追踪算法的计算公式;同时考虑射线入射到界面时能量分配问题,探讨了三维介质条件下射线追踪计算方法。对斜井VSP三维任意起伏层状介质中多波进行正演模拟,结果表明：该方法可行性和有效性较高,计算速度快,且计算精度高。     

WeatherMap等开源软件在地震信息网络流量监控中的应用

WeatherMap是Cacti开源网管系统中的流量监控组件,可实现多种模式的网络实时流量监控与展示,提升网络流量监控的可视化能力,在天津地震信息网络中的应用,对于提升开源软件在行业网络系统中的综合应用有较好的参考价值.     

EMC存储系统在天津测震台网JOPENS数据库服务中的应用

主要阐述EMC存储系统在天津测震台网的JOPENS数据库服务中的应用情况,对采用本地存储、EMC SATA硬盘和EMC光纤硬盘存储进行了分析对比,为现存的基于本地存储模式的测震台网JOPENS数据库服务器扩展到统一数据存储模式做示范;为省级区域中心进行统一的数据存储应用环境提供参考.     

Effectiveness of farmland transfer in alleviating farmland abandonment in mountain regions

Farmland abandonment is a type of land use change in the mountain region, and this change is under rapid development. Whether farmland transfer can prevent this process and promote the effective allocation of land resources or not is a question worth studying and discussion. With the help of the previous research findings, the objective of this paper was to find out the role of farmland transfer on preventing farmland abandonment, by using the methods of multiple view with two factors, and single factor correlation analysis. The results showed that: (1) At village level, a significant negative correlation between farmland transfer and farmland abandonment existed in the study site, with R² = 0.7584. This correlation of farmland with high grade farming conditions presented more outstandingly. The fitted curve for the farmland at Level I had the largest R² at 0.288, while that for the farmland at Level IV had the smallest R² at 0.103. Which indicated that farmland transfer could prevent the abandonment of farmland with high grade farming conditions? (2) At plot level, the abandonment rate of farmland with high grade farming conditions was significantly lower than that of farmland with poor grade farming conditions. It was the lowest at 10.49% for the farmland with Level I farming conditions, whereas the farmland with Level I farming conditions was 26.21%. Abandoned farmland was mainly contributed by farmland with Level IV farming conditions in the study site. (3) At village level, the role of farming conditions on farmland abandonment was insignificant. The univariate correlation analysis revealed that the abandonment ratio was negatively correlated with the proportions of farmland at Levels I and II and their accumulated proportion; however, their R² were small at 0.194, 0.258, and 0.275, respectively. The abandonment of farmland with high farming conditions still existed. The abandonment ratios of farmland at Levels I and II were high at 9.96% and 10.60%, respectively. This presented that farmland transfer on behalf of the land rental market was still not developed. (4) However, the village possessed the high rate of farmland transfer, and its rate of farmland abandonment with high grade farming conditions was all lower. When the transfer ratios of farmland were over 20%, the abandonment ratios of farmland at Levels I and II were 6.47% and 6.92%, respectively. Farmland abandonment was still controlled by the improvement of land rental market. And the functions of land rental market optimizing the utilization of farmland resources have been presented to a certain degree. (5) To further improve the marketing degree of land rental, the probability of farmland abandonment could be reduced. Especially, their function to farmland with high grade farming conditions was very obvious, and could avoid the waste of farmland resources with high grade farming conditions.     

A comparison of the predictive potential of various vegetation indices for leaf chlorophyll content

Leaf chlorophyll is an important indicator of nutritional stress, photosynthetic capacity, and growth status of plants. Therefore, it is important to accurately estimate leaf chlorophyll content over a range of spatial and temporal scales. However, traditional methods for chlorophyll measurement mainly rely on chemical analysis, which is not universally applicable to dynamic monitoring of plants in large areas because it is time consuming and requires destructive measurements. Hyperspectral remote sensing has enormous potential for accurate retrieval of plant biochemical parameters. Therefore, it has become the most popular means to retrieve chlorophyll content, by establishing empirical relationships between different vegetation indices and chlorophyll content. In recent years, many vegetation indices have been developed for the inversion of chlorophyll content. Only the vegetation indices that are less affected by the external environment are used, in order to establish a strong and robust model. Therefore, it is very important to assess the anti-disturbance ability of different vegetation indices. In this paper, a new method is proposed to quantitatively assess the anti-disturbance ability of vegetation indices. The anti-disturbance ability of several vegetation indices that are commonly used for chlorophyll estimation was evaluated using this method. We concluded that the anti-disturbance ability of VogD, TCARI/OSAVI, and Datt99 is stronger than the other vegetation indices tested. However, if a vegetation index is not sensitive to chlorophyll content, predicting chlorophyll content holds no value even though it has a strong anti-disturbance ability. Therefore, we used the slope of the best fitting function between the vegetation index and chlorophyll content (defined as d(VI)/d(Chlorophyll content)) to measure the sensitivities of different indices to chlorophyll content. Finally, we found that TCARI/OSAVI was one of the best vegetation indices to estimate chlorophyll content at the leaf level. However, we have only considered three factors to evaluate the anti-disturbance ability of different vegetation indices, which is still far from enough because the canopy reflectance is affected by many factors. Therefore, we should account for more factors in the future.     

北斗卫星天线相位中心改正模型精化及对精密定轨和定位影响分析

针对BDS-2和BDS-3卫星联合精密定轨和精密定位中高精度BDS-2 IGSO/MEO卫星天线相位中心改正在轨估计模型的缺失问题,本文采用了改进的PCV和z-offset参数估计方法,精化了BDS-2 IGSO/MEO卫星B1I/B3I无电离层组合PCC模型。数值验证结果表明：相比北斗官方发布的PCO地面标定值,本文精化的PCC模型使得精密轨道SLR残差的STD减小了0.6~2.4 cm,改善百分比为8.6%~33.3%;基于本文精化的BDS-2和已有BDS-3卫星精化的PCC模型使得精密定位浮点解在高程方向显著提升了9.5 mm（37.2%）。     

Climatic Aridity and the Relocations of the Zhou Culture in the Southern Loess Plateau of China

Several Holocene loess-soil profiles at the archaeological sites of the political center, and later, the capital cities of the predynastic Zhou and Western Zhou Dynasty (ca. 1400–771 B.C.) inthe southern Loess Plateau were studied multi-disciplinarily. It provides insights into monsoonal climatic change and the relocations of the Zhou culture in this climatically sensitive semiarid zone. Both the analytical data and written records indicate that increased climatic aridity at 1150 B.C. induced a considerable environmental deterioration and degradation of natural resources, especially water shortages, decreases in precipitation and deficits in soil moisture. These resulted in poor harvest and great famines, plagues, domestic upheavals, population migrations, and even conflicts between Zhou people who subsisted on dry farming and nomadic tribes on the northern steppe during the development of the Zhou culture. It seems that persistent droughts forced Zhou people to move from the upland plateau to the lowland riverbanks step by step through relocations, following a direction of increasing climatic humidity, soil moisture, water availability and biodiversity. The southward migration of the nomads on the steppe of the northern Loess Plateau and the Mongolia Plateau in response to the climatic aridity was another dynamic force that caused the relocations of the Zhou culture.