Evaluating techniques for mapping island vegetation from unmanned aerial vehicle (UAV) images: Pixel classification,visual interpretation and machine learning approaches

We evaluate three approaches to mapping vegetation using images collected by an unmanned aerial vehicle (UAV) to monitor rehabilitation activities in the Five Islands Nature Reserve, Wollongong (Australia). Between April 2017 and July 2018, four aerial surveys of Big Island were undertaken to map changes to island vegetation following helicopter herbicide sprays to eradicate weeds, including the creeper Coastal Morning Glory (Ipomoea cairica) and Kikuyu Grass (Cenchrus clandestinus). The spraying was followed by a large scale planting campaign to introduce native plants, such as tussocks of Spiny-headed Mat-rush (Lomandra longifolia). Three approaches to mapping vegetation were evaluated, including: (i) a pixel-based image classification algorithm applied to the composite spectral wavebands of the images collected, (ii) manual digitisation of vegetation directly from images based on visual interpretation, and (iii) the application of a machine learning algorithm, LeNet, based on a deep learning convolutional neural network (CNN) for detecting planted Lomandra tussocks. The uncertainty of each approach was assessed via comparison against an independently collected field dataset. Each of the vegetation mapping approaches had a comparable accuracy; for a selected weed management and planting area, the overall accuracies were 82 %, 91 % and 85 % respectively for the pixel based image classification, the visual interpretation / digitisation and the CNN machine learning algorithm. At the scale of the whole island, statistically significant differences in the performance of the three approaches to mapping Lomandra plants were detected via ANOVA. The manual digitisation took a longer time to perform than others. The three approaches resulted in markedly different vegetation maps characterised by different digital data formats, which offered fundamentally different types of information on vegetation character. We draw attention to the need to consider how different digital map products will be used for vegetation management (e.g. monitoring the health individual species or a broader profile of the community). Where individual plants are to be monitored over time, a feature-based approach that represents plants as vector points is appropriate. The CNN approach emerged as a promising technique in this regard as it leveraged spatial information from the UAV images within the architecture of the learning framework by enforcing a local connectivity pattern between neurons of adjacent layers to incorporate the spatial relationships between features that comprised the shape of the Lomandra tussocks detected.     

巴颜喀拉山东段及其邻区大地电磁测深成果地质解释

本文主要依据青海省囊歉至大河坝大地电磁测深成果,并结合重力资料对巴颜喀拉及南北两侧地区的壳幔结构进行了地质解释。指出了该区壳幔存在4个明显的低阻层,并简述了它们的形态特征,推断了其地质含意。认为昆中断裂带与昆南断裂带间是一个巨大的构造混杂岩带,影响深度亦很大。推断该区可能存在太古代地层。划出了8条壳幔断裂带,认为昆中断裂应是塔里木—华北板块与华南板块的分界线。     

欧盟RoHS指令与中国的对策

对欧盟RoHS指令的主要内容进行了简述,初步介绍了与RoHS指令相似或者相关的各国的环保指令,讨论了RoHS指令等对我国电子电气行业带来的巨大冲击。简要总结我国电子信息产业部、国家质量监督检验检疫总局、商务部等各管理及技术部门为了应对RoHS指令和提高我国电子电气行业竞争力而作出的相应对策。     

新疆可可托海—四川简阳地学断面岩石圈与软流圈结构

运用现代构造解析理论和方法,对新疆可可托海—四川简阳人工地震测深剖面与天然地震面波层析成像进行构造解析基础上,综合地质学、深源岩石包体构造岩石学和地球化学以及其他地球物理学标志等多学科综合研究显示,高速块体或幔块构造的几何结构型式是控制该区岩石圈构造格局和岩石圈表层构造变形基本条件之一。本文建立起该地学断面地壳及岩石圈与软流圈速度结构模型和物质组成结构模型,划分出岩石圈3种几何结构模式:克拉通陆根状结构、造山带楔状结构和高原陆根状结构,以及岩石圈二类构造演化类型:克拉通型岩石圈和增厚型岩石圈。在系统论述断面地壳及岩石圈结构构造类型特征基础上,探讨了该断面软流圈结构特征,岩石圈与软流圈相互作用及其地幔动力学模式。     

Modern swathe sounding and sub-bottom profiling technology for research applications: The Atlas Hydrosweep and Parasound Systems

This chapter describes two separate but complementary research echosounder systems originally developed by Krupp Atlas Elektronik GmbH for the new German oceanographic research vessel Meteor.The Hydrosweep is a Hydrographic wide-swathe sweep survey echosounder for both shallow and deep water applications providing accurate bathymetric surveys and terrain-following navigation capabilities.The Parasound system is a hull-mounted dual channel parametric narrow-beam deep sea survey and sub-bottom profiling echosounder enabling particularly high vertical and horizontal resolution of seabed features.     

海底勘查技术的最新发展

本文将介绍用于探测海底三维地质特征的海底勘查的最新发展。它主要包括海底地形测绘技术，海底形貌观测技术、海底地层声学探测技术等。     

GPS测高技术在无验潮水深测量中的应用

应用双频GPS动态后处理高精度定位技术，建立了一套完整的GPS无验潮海洋深度测量作业模式，通过海上试验与传统作业模式作了数值分析比较，结果表明，该作业模式不仅无需验潮，而且能够有效消除传统作业模式中船只动态吃水和涌浪等因素对测量成果的影响，显著提高水深测量成果的精度。     

赤道西太平洋大气边界层的诊断分析

利用１９９３年ＥＮＳＯ事件爆发（４月）前酝酿时期“热带大洋与全球大气－海洋耦合响应试验”强化观测阶段“向阳红五号”科学考察船１５５°Ｅ，２°Ｓ定点海洋气象和高空大气探测资料，分析了赤道西太平洋大气边界层特征。结果表明：赤道西太平洋上空辐合对流区边界层内也有等温或逆温层存在，大气边界层物理参数变化与大尺度海－气变异有密切关系，赤道太平洋沃克环流加强、东移，边界层上部逆温层出现概率明显增大，边界层内高湿层湿度减小。另外，边界层内实测风速、风向廓线随高度的变化基本上不服从Ｅｋｍａｎ规律，但由其平均，分量合成得到的平均风随高度的变化却基本符合Ｅｋｍａｎ规律。     

EM120型多波束测深系统及在深海测量中的应用

与传统的单波束回声测深仪相比,多波束测深系统具有水深全覆盖无遗漏扫测,测量范围大、速度快,测深精度和分辨率高,记录数字化和实时自动绘图等优点。介绍了EM120型多波束测深系统深水系统的技术性能,分析了EM120在中沙深海区的测量试验情况及在深海区水深测量中的应用价值,提出了存在问题及其对策。     

应用电性特征研究银川平原地下水水质空间分布规律

以蕴涵丰富地下水系统水循环信息的电性特征为线索,采用电测深法,在分析研究银川平原450 m深度内地下水系统的空间结构的基础上,对平原地下水水质空间分布规律进行了综合研究,为银川平原地下水资源可持续利用战略的制订提供了依据。