新疆西昆仑汗铁热克一带侏罗纪沉积相与沉积环境分析

新疆西昆仑汗铁热克一带地处塔里木盆地西南缘,构造上属塔里木盆地与西昆仑造山带的结合部位,侏罗纪地层包括积莎里塔什组、康苏组、扬叶组、塔尔尕组和库孜贡苏组。根据岩性、颜色、粒度分析及沉积相标志等方法,将汗铁热克一带侏罗纪沉积环境与沉积相划分为冲积扇、扇三角洲和湖泊相,其沉积特征为侏罗纪早期快速充填,中期稳定沉降,晚期短暂的沉积间断后充填,并系统分析了研究区在整个侏罗纪沉积环境演化规律。     

Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso

The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency. Together with Landsat, these sensors provide the scientific community with a wide range of spatial, spectral, and temporal properties. This study compared and explored the synergistic use of Landsat-8 and Sentinel-2 data in mapping land use and land cover (LULC) in rural Burkina Faso. Specifically, contribution of the red-edge bands of Sentinel-2 in improving LULC mapping was examined. Three machine-learning algorithms – random forest, stochastic gradient boosting, and support vector machines – were employed to classify different data configurations. Classification of all Sentinel-2 bands as well as Sentinel-2 bands common to Landsat-8 produced an overall accuracy, that is 5% and 4% better than Landsat-8. The combination of Landsat-8 and Sentinel-2 red-edge bands resulted in a 4% accuracy improvement over that of Landsat-8. It was found that classification of the Sentinel-2 red-edge bands alone produced better and comparable results to Landsat-8 and the other Sentinel-2 bands, respectively. Results of this study demonstrate the added value of the Sentinel-2 red-edge bands and encourage multi-sensoral approaches to LULC mapping in West Africa.     

广西大瑶山东南缘侏罗纪埃达克质花岗岩的特征、成因及构造意义

对钦杭结合带西南段大瑶山东南缘的中晚侏罗世埃达克质花岗岩（165~153 Ma）进行了岩石学、地球化学研究,并探讨了埃达克质和TTG岩类的特征属性。岩石SiO₂含量63.76%~72.13%,总体具高Al₂O₃（Al₂O₃≥15%）、低MgO （<3%）,亏损重稀土元素（HREE）、正Eu异常或弱的负Eu异常,低Y （≤18×10^-6）和Yb （≤1.9×10^-6）,高Sr （>300×10^-6）和Sr/Y值（>20）等埃达克岩独特的地球化学特征。结合区域构造演化分析认为,该侏罗纪埃达克质花岗岩形成于陆内伸展构造背景,为大陆板内加厚（隆起区）的下地壳底部岩石部分熔融的产物,属大陆板内环境I型花岗岩。具有类似于低镁安山岩/闪长岩系列（LMA）和镁安山岩/闪长岩系列（MA）两种高压型TTG亚类的属性,为古俯冲增生带下地壳弧型岩石熔融的继承性特征,与中生代古太平洋俯冲板片熔融过程无关,属非俯冲成因的埃达克/TTG岩类。其空间上与大瑶山东南缘早古生代俯冲增生带高度重合,且与早古生代TTG侵入岩组合紧密相邻,提示它们可能源自于早古生代洋壳俯冲带或大陆边缘弧下地壳玄武质岩石的部分熔融,因而具有洋俯冲成因的特征属性。     

浅谈测绘成果的应用与保密管理模式

测绘成果是国民经济建设、国防建设和科学研究的基础资料;对社会持续发展、国土的合理开发和整治、资源的综合利用和有效管理、自然灾害的预测和优化生产力的总体布局、规划管理与决策等,都具有十分重要的意义。测绘成果是国家的宝贵财富,属于国家机密,各个测绘资料归口管理部门有责任提高认识,重视测绘资料的归口管理工作,在保证国家安全和利益的前提下,使之最大限度地满足社会各界的需求。     

基于计算机视觉的头足类角质颚特征研究Ⅰ:轮廓与特征点提取

轮廓与特征点研究是头足类角质颚形态特征鉴别的基本方法,对于轮廓与特征点的提取最常用的方法是手动描绘与标定,利用计算机视觉进行轮廓与特征点的提取,不仅可以降低手动提取带来的误差、提高准确性,而且更加快速、便捷。文章将利用计算机视觉提取头足类角质颚的轮廓与特征点,首先将自制装置拍摄得到的角质颚三视图放入MTALAB软件中进行编程处理,然后利用Canny算法提取角质颚轮廓,最后根据地标点的定义标定特征点位置并建立空间坐标系得到角质颚的特征点坐标。研究结果显示,利用计算机视觉提取角质颚的轮廓图像以及特征点坐标是可行的,当标准差σ取值为0.1时角质颚轮廓图效果最佳,在得到的轮廓图上进行特征点的标定,通过迭代遍历轮廓图获得各个特征点的空间坐标。研究分析认为,将计算机视觉应用于头足类角质颚形态学的研究可以提高研究的便捷性,同时也为后续的研究提供了新的实验思路和方法。     

Clinoform architecture and along‐strike facies variability through an exhumed erosional to accretionary basin margin transition

Exhumed basin margin‐scale clinothems provide important archives for understanding process interactions and reconstructing the physiography of sedimentary basins. However, studies of coeval shelf through slope to basin‐floor deposits are rarely documented, mainly due to outcrop or subsurface dataset limitations. Unit G from the Laingsburg depocentre (Karoo Basin, South Africa) is a rare example of a complete basin margin scale clinothem (>60 km long, 200 m‐high), with >10 km of depositional strike control, which allows a quasi‐3D study of a preserved shelf‐slope‐basin floor transition over a ca. 1,200 km² area. Sand‐prone, wave‐influenced topset deposits close to the shelf‐edge rollover zone can be physically mapped down dip for ca. 10 km as they thicken and transition into heterolithic foreset/slope deposits. These deposits progressively fine and thin over tens of km farther down dip into sand‐starved bottomset/basin‐floor deposits. Only a few km along strike, the coeval foreset/slope deposits are bypass‐dominated with incisional features interpreted as minor slope conduits/gullies. The margin here is steeper, more channelized and records a stepped profile with evidence of sand‐filled intraslope topography, a preserved base‐of‐slope transition zone and sand‐rich bottomset/basin‐floor deposits. Unit G is interpreted as part of a composite depositional sequence that records a change in basin margin style from an underlying incised slope with large sand‐rich basin‐floor fans to an overlying accretion‐dominated shelf with limited sand supply to the slope and basin floor. The change in margin style is accompanied with decreased clinoform height/slope and increased shelf width. This is interpreted to reflect a transition in subsidence style from regional sag, driven by dynamic topography/inherited basement configuration, to early foreland basin flexural loading. Results of this study caution against reconstructing basin margin successions from partial datasets without accounting for temporal and spatial physiographic changes, with potential implications on predictive basin evolution models.     

铣削斜楔形区域形成及其对流场负压区的影响规律

【目的】研究在内喷淋冷却高速铣孔加工中,铣削斜楔形区域的形成对流场负压区的影响。【方法】对高速湿式铣削加工区域建立三维流场模型,应用计算流体力学软件Fluent,采用非结构化四面体网格单元,利用滑移网格技术对高速铣削过程进行三维瞬态计算。【结果】得到不同刃数、不同转速的立铣刀对同一孔径工件进行切削时流场的压力分布情况。三刃立铣刀斜楔形对流场负压影响最大,当立铣刀刃数增加时,此斜楔形区缩小,负压减小,转速为10 000～20 000 r/min时增长速度逐渐降低,20 000～35 000 r/min时增长速度逐渐增高。【结论】从流场角度分析,流场中最大负压值与转速呈正相关,转速的提高增加了抑制空化的难度;增加铣刀刃数,可减小流场斜楔形区面积,减小空化可能。     

高分六号遥感卫星新增波段下的树种分类精度分析

高分六号卫星具有覆盖广、多种分辨率、波段多的优势,能为遥感解译提供更丰富的信息。为探究高分六号卫星新增波段在森林树种识别上的应用,本文以覆盖根河市阿龙山林业局的一期高分六号宽幅影像为数据源,基于特征优化空间算法（Feature Space Optimization,FSO）和最大似然分类法,分别利用高分六号的前4个波段和所有波段（8波段）的光谱、纹理等特征进行了森林树种分类,并逐一添加新增波段特征确定了各波段的贡献率排名。结果表明：在加入了优选出的均匀性纹理、均值纹理和角二阶矩纹理3种纹理特征后,前4波段和8波段的分类精度比只基于光谱特征时的精度分别高出13.23%和24.63%;利用8波段信息比只利用前4波段在基于光谱特征上的精度高11.88%,在基于光谱+纹理特征上则高23.24%;基于8波段光谱+纹理特征的树种分类精度最高,达到68.74%,新增4波段的贡献率排名为B6>B5>B8>B7,说明新增红边波段对于本次树种分类试验的贡献率最高,能为北方树种识别提供有效帮助。     

Classification of glacial lakes using integrated approach of DFPS technique and gradient analysis using Sentinel 2A data

It is important to identify and locate glacial lakes for assessing any potential hazard. This study presents a combination of semi-automatic method Double-Window Flexible Pace Search (DFPS) and edge detection technique to identify glacial lakes using Sentinel 2A satellite data. Initially, Normalized Difference Water Index (NDWI) has been used to identify water and non-water areas, while DFPS and Edge detection technique has been used to identify an optimum threshold value to distinguish between water and shadow areas. The optimal threshold from DFPS process is 0.21, while threshold value of gradient magnitude using edge detection process is 0.318. The number of glacial lakes identified using the above algorithm is in close agreement with previously published results on glacial lakes in Gangotri glacier using different techniques. Thus, a combination of DFPS and edge detection process has successfully segregated glacial lakes from other features present in Gangotri glacier.     

利用Adobe Photoshop对悬沙颗粒图像预处理

利用光学悬浮沙粒径谱仪现场拍摄的悬沙颗粒图像具有两个特点:1、边缘亮度不均匀:2、边缘不清晰。为了测量颗粒粒径,需要做边缘提取。由于悬沙颗粒的上述两个特点,二值化后的颗粒图像容易产生边缘失真和边缘不闭合现象,为了解决这个问题,文中介绍利用Adobe Photoshop对悬沙颗粒的预处理。