Field Measurement of Suction, Water Content, and Water Permeability

This paper presents a review of techniques for field measurement of suction, water content, and water hydraulic conductivity (permeability). Main problems in the use of field tensiometers are addressed and hints on how to improve tensiometer performance are given. Advantages and limitations of instruments for indirect measurement of suction including electrical conductivity sensors, thermal conductivity sensors, dielectric permittivity sensors, filter paper, and psychrometer are discussed. Techniques for water content measurement based on dielectric methods are then presented. These include time and amplitude domain reflectometry and capacitance. Finally, a brief overview of methods for measurement of water permeability in the field is presented.     

Inter sensor comparison between RESOURCESAT LISS III, LISS IV and AWiFS with reference to coastal landuse/landcover studies

Coastal zone assumes importance due to high productivity of ecosystems, man-made developmental activities, natural hazards and dynamic nature of the coast. As costal ecosystems are unique and fragile, understanding the impact of developmental activities on the sustainability of the coastal zone is very important. Remote sensing, because of repetitive and synoptic nature is an ideal tool for studying this. Time series data analyses for monitoring coastal zone require different type of sensors. Present study deals with atmospheric correction of satellite data, reflectance, selection of coastal features like, mudflat, mangroves, vegetated dune, coastal water, etc. and their inter-comparison using different sensor data of RESOURCESAT sensors. Reflectance values give better separateability for various coastal features in comparison to DN values. LISS IV can be used in place of LISS III or merged (LISS III + PAN) for long-term coastal zone studies.     

Advances and Trends in Atmospheric Measurement by Smartphones*

With the development and popularization of smartphones and embedded sensors, a non-professional atmospheric measurement method by using smartphones carried by the public has been proposed recently. Without extra dedicated instrument, this method has many advantages, such as low hardware cost, high spatio-temporal resolution, and wide coverage, and it can supplement the professional atmospheric measurement methods, which has broad applications in the meteorological operation, scientific research, public service, and other fields. At present, the research on the non-professional atmospheric measurement in China is limited. In order to make full use of this method, this paper briefly outlined the states of existing smartphones and embedded sensors, highlighted the measurement of precipitation, air temperature, pressure, aerosols, and radiation by smartphones. To promote the development of smartphones for atmospheric measurement, future research should focus on mechanism study, available sources exploration, data quality control, big data processing, joining and matching with operation, research and service, etc.     

中国卫星海洋观测系统及其传感器(1988—2025)

全面收集1988—2025年中国地球观测卫星(和飞船)计划,包括历史的、运行中的和列入未来计划的。详细介绍风云卫星系列(FY-n)、海洋卫星系列(HY-n)、资源卫星系列(ZY-n)、环境卫星系列(HJ-n)、中国遥感卫星系列(CRS-n)、灾害监测星座/北京小卫星(DMC/BJ-1)、神舟飞船系列(SZ-n)和天宫空间站系列(TG-n)等8个卫星(和飞船、空间站)系列。这些卫星(和飞船、空间站)系列都提供对海洋的观测,从而构成中国卫星海洋观测系统。按装载的传感器分类,进而给出中国的海色、海表温度、海面高度、海面风场和合成孔径雷达(SAR)卫星观测系统。对中国海洋观测卫星与国际海洋观测卫星装载的传感器性能作了比较和讨论,指出差距。列出目前在轨运行的中国海洋卫星观测系统38个传感器及其类似的国外卫星传感器。     

Remote structural health monitoring with serially multiplexed fiber optic acoustic emission sensors

Development and testing of a serially multiplexed fiber optic sensor system is described. The sensor differs from conventional fiber optic acoustic systems, as it is capable of sensing AE emissions at several points along the length of a single fiber. Multiplexing provides for single channel detection of cracks and their locations in large structural systems. An algorithm was developed for signal recognition and tagging of the AE waveforms for detection of crack locations. Laboratory experiments on plain concrete beams and post-tensioned FRP tendons were performed to evaluate the crack detection capability of the sensor system. The acoustic emission sensor was able to detect initiation, growth and location of the cracks in concrete as well as in the FRP tendons. The AE system is potentially suitable for applications involving health monitoring of structures following an earthquake Supported by: National Science Foundation, Grant number CMS-9900338     

Sensor Calibration in Support for NOAA’s Satellite Mission

Sensor calibration, including its definition, purpose, traceability options, methodology, complexity, and importance, is examined in this paper in the context of supporting NOAA's satellite mission. Common understanding of sensor calibration is essential for the effective communication among sensor vendors, calibration scientists, satellite operators, program managers, and remote sensing data users, who must cooperate to ensure that a nation's strategic investment in a sophisticated operational environmental satellite system serves the nation's interest and enhances the human lives around the world. Examples of calibration activities at NOAA/NESDIS/ORA are selected to further illustrate these concepts and to demonstrate the lessons learned from the past experience.     

基于倾角传感技术的阵列式高精度倾斜监测系统

倾斜监测是建筑物安全使用的重要保障,利用MEMS传感器技术,设计一种基于阵列式双轴倾角传感器的结构倾斜监测设备,该设备具有硬件的高集成化、低能耗,以及变形监测过程及数据分析自动化等特征。采用对比测试、应用示范等方法对装置观测精度、通讯功能、可靠性及功耗进行验证,证明该设备倾角观测精度可达0.01°,观测数据稳定,精度、自动化程度、互动性满足预设要求,可应用在工民建、市政、水利等领域倾斜监测与质量检测中。     

轻小型无人机测绘遥感系统研究进展

地球空间信息是人工智能、大数据时代的重要数据基础,轻小型无人机测绘遥感技术作为中国当前和未来获取厘米级分辨率、实时响应遥感数据的主要手段,必将发挥更加重要的作用。本文首先介绍了固定翼、多旋翼、无人直升机以及飞行控制系统、地面监控系统和遥控遥测链路的发展现状和潜在发展趋势;其次重点研究了数码相机、视频摄像机、倾斜相机、激光雷达、合成孔径雷达和定姿定位系统的利用现状和发展趋势;然后总结分析了当前无人机测绘遥感面临的系统检测、大范围实时遥感和遥感大数据精准解译方面的问题和挑战;最后面向人工智能、大数据、物联网、云计算等技术背景给出了轻小型无人机测绘遥感技术在飞行控制智能化、测绘遥感作业智能化和实时、实景无人机遥感技术应用模式创新等方面的发展趋势。     

WiFi-PDR室内组合定位的无迹卡尔曼滤波算法

针对当前室内定位的应用需求和亟待解决的关键问题,结合城市室内环境下广泛存在的WiFi无线信号以及智能手机传感器信息,提出了一种WiFi无线信号联合行人航迹推算(PDR)的室内定位方法。该方法采用无迹卡尔曼滤波(UKF)算法对WiFi和PDR定位信息进行融合处理,有效克服了WiFi单点定位精度低和PDR存在累计误差的问题。针对融合算法中WiFi指纹匹配计算量大的问题,用k-means聚类算法对WiFi指纹库进行聚类处理,降低了指纹匹配算法的计算量,提高了算法的实时性。通过在华为P6-U06智能手机平台上实际测试,在时间效率上经过聚类处理后系统定位耗时有很大程度的改善,平均降幅为51%,其中最大降幅达到64%,最小的也达到了36%;在定位精度上,当室内人员为行走状态时WiFi定位平均误差为7.76m,PDR定位平均误差为4.57m,UKF滤波融合后平均定位误差下降到1.24m。