关于金伯利岩分类命名的建议

国内岩石工作者对金伯利岩的分类命名不尽统一,阻碍了各金伯利岩产区的相互交流和对比。本文在分析国内现有多个分类方案的基础上,汲取其合理部分,并结合代表性产地的实际资料,提出关于对我国内生金伯利岩按“构造-结构-矿物(金云母)含量”定量分类命名的表格。     

山区植被类型信息提取方法研究

根据遥感图像的光谱信息和空间信息特征及不同植被的分布规律,研究利用计算机处理技术提取山区植被类型的方法。分类过程采用四个步骤完成：①均一目标的象限四分树提取分类；②多光谱数据的最小距离分类；③综合利用波谱曲线的形态和地形数据进行分类；④高程数据修正分类。在分类处理过程中,分别利用了图像的空间信息、光谱信息以及地形数据。利用该分类方法在实验小区内进行植被类型提取试验,其精度为90%.与最大似然分类方法所得结果相比较,其分类精度提高了10%.     

空间灰度相关在影像纹理分类中的应用及分析

介绍了空间灰度相关法的１１个纹理特征。试验表明，仅３个是描述性强的纹理特征。通过用ｔ检验法来分类纹理，发现该方法具有良好的“去伪”特性，可辅助其它纹理分类。     

中国地质灾害类型、分布及防治建议

本文提出了中国地质灾害的空间分类和成因分类系统,并根据13类常见的地质灾害组合类型进行了区划,基本上反映了我国高原、山地、内陆盆地、平原及滨海地区地质灾害的地带性和地区性分布规律,以小比例尺图显示了中国地质灾害的类型与分布。该图共划分为11个地质灾害区。在此基础上初步论述了1949—1990年间我国崩塌、滑坡、泥石流灾害的主要受灾地区和受灾损失。最后,根据当前形势,提出了减灾、防灾的对策意见和建议。     

变质作用矿床概述

近代矿床学研究已初步摆脱经典和相对立的内生及外生作用矿床的研究范围,走向一个以整体地质环境为背景,以各种地质作用相互联系为基础的动力学研究方向,并从矿床的源区和源岩出发,在不同的地质作用下特别是与挥发组分的参与相结合,追溯其矿床的形成过程。变质作用矿床是一类中间型的矿床,属于近源迁移型。在原有地壳中含矿建造和矿源层的基础上,经历了变质作用和它的后期混合岩作用过程,并通过变质作用传导体制的不同阶段中出现的流体的参与,形成一系列由前变质矿床直至混合岩化期后矿床。文中对影响变质作用矿床的控制因素及其地位作了扼要的叙述,进行了变质作用分类的探讨,并从其传导体制中出现的热流及其形成环境上,与岩浆型花岗岩期后热液型进行对比和讨论。     

A workflow for Sustainable Development Goals indicators assessment based on high-resolution satellite data

ABSTRACT

For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements consist of using moderate and high spatial resolution satellite data and state-of-the-art deep learning methodology for land cover classification and for assessing land productivity. Within the European Network for Observing our Changing Planet (ERA-PLANET), three SDGs indicators are calculated. In this research, harmonized Landsat and Sentinel-2 data are analyzed and used for land productivity analysis and yield assessment, as well as Landsat 8, Sentinel-2 and Sentinel-1 time series are utilized for crop mapping. We calculate for the whole territory of Ukraine SDG indicators: 15.1.1 – ‘Forest area as proportion of total land area’; 15.3.1 – ‘Proportion of land that is degraded over total land area’; and 2.4.1 – ‘Proportion of agricultural area under productive and sustainable agriculture’. Workflows for calculating these indicators were implemented in a Virtual Laboratory Platform. We conclude that newly available high-resolution remote sensing products can significantly improve our capacity to assess several SDGs indicators through dedicated workflows.     

亚洲中部干旱气候研究综述与机理分析

综述了亚洲中部干旱气候若干研究进展,并对亚洲中纬度干旱区形成机理进行了深入分析。依据大尺度气候分类法将全球陆地划分为季风、地中海及西风带气候区,分别对应于年内季节循环中多雨—高温的同位相、反位相及不相关等类型水—热配置特征。亚洲中部干旱区南北部分属地中海和西风带气候区,其不同水—热位相配置又对应于不同的水汽通量及其散度等特征。研究揭示了欧亚大陆中部干旱区形成于降水不足且季节性水—热配置不当,起因于大气环流平均槽脊季节变化引起的大气动力—热力配置,其根源是海陆热力差异及大地形对大气环流强迫的结果。本文还讨论了季风区与非季风区之间平均气流水汽散度的季节性互动,以及行星尺度上不同气候区之间平均气流与瞬变涡动水汽散度之间的配置等问题。     

A semiobjective method for condensing classifications

A simple, semiobjective method is described to reduce the number of groups in a classification to an arbitrary level without losing contact with the geologic information contained in the evolving groups. The method, operated in a stepwise or cyclic manner, employs some of the commonly used numerical techniques, but avoids strict adherence to them to obtain geologically more meaningful results. The method is illustrated in a facies study of the upper Paleozoic rocks of southeastern Utah.     

SAR image classification based on its texture features

SAR images not only have the characteristics of all-ay, all-eather, but also provide object infor-mation which is different from visible and infrared sensors. However, SAR images have some faults, such as more speckles and fewer bands. The au-thors conducted the experiments of texture statistics analysis on SAR im-age features in order to improve the accuracy of SAR image interpretation.It is found that the texture analysis is an effective method for improving the accuracy of the SAR image interpreta-tion.