Temporal and Spatial Dynamics Analysis of Grassland Ecosystem Pressure in Kazakhstan     

WEN Xin  YAN Huimin  XIE Xiaoping  DU Wengpeng  LAI Chenxi  ZHEN Lin 《资源与生态学报(英文版)》2019,10(6):667-675

Affected by climate change and policy factors, Kazakhstan is the country with the most severe ecological degradation and grassland conflicts in Central Asia. Therefore, studying the state of grassland carrying resources in Kazakhstan is particularly important for understanding the responses of grassland ecosystems to climate change and human activities. Based on Kazakhstan's remote sensing data and animal husbandry statistics, this study analyzes the patterns of changes in grassland ecosystems in Kazakhstan based on the supply and consumption of these ecosystems. The results show that: 1) From 2003 to 2017, the number of livestock raised in Kazakhstan showed a trend of sustained and steady growth. Due to freezing damage, the scale of livestock farming decreased in 2011, but a spatial difference in the livestock farming structure was not obvious. 2) The fluctuation of grassland supply in Kazakhstan has increased, while the consumption due to animal husbandry has also continued to increase, resulting in an increasing pressure on the grassland carrying capacity. 3) Between 2003 and 2017, the overall grassland carrying status of Kazakhstan have been abundant, but the grassland carrying pressure index has shown a steadily increasing trend, the grassland carrying pressure is growing, and it is mainly determined by grassland productivity. The greater pressure in lower Kyzylorda state, the southern Kazakhstan state of the cultivated land and the northern Kazakhstan state has gradually expanded to include the agro-pastoral zone and the semi-desert zone.  相似文献   

基于网络控制板的地震台站远程电源监控系统     

李惠玲  高云峰  胡玉良  程冬焱  李颖  王鹏伟  穆慧敏 《地震地磁观测与研究》2019,40(6):152-159

针对无人值守地震台站逐年增加,运行维护模式不佳的现状,设计一种远程电源监控系统,采用远程电源控制模块,设计软件通过TCP/IP协议,在仪器出现死机时,远程实现设备的断电重启。本文对该系统的设计思路、硬件构成进行描述,并简要介绍软件功能设计、监控告警以及该系统在无人值守台站的应用。实践证明,该系统可有效解决因仪器死机造成的观测数据缺记,为地震专业设备的可靠运行和及时维护提供依据与保障,为今后地震台站,特别是无人值守台站的维护提供借鉴。  相似文献   

数字正射影像结合LiDAR数据在山区测绘中的应用     

严慧敏 《测绘通报》2020,(1):115-119

随着信息化社会的到来，现代水利测绘已经由传统测绘向信息化测绘发展，无人机技术应用于测绘行业推进了信息化测绘进程。本文探讨了如何有效利用无人机技术解决测绘领域在山区遇到的问题。固定翼无人机能及时获取地面数字正射影像数据，捕获裸露地面的平面和高程，但是无法获取植被覆盖下的地表高程信息，因此，本文通过机载激光雷达获取植被覆盖下的LiDAR点云数据；将二者数据相结合，再通过EPS软件生成三维地表模型，可以快速获取任何测区地物和地形数据，不仅提高了工作效率，还降低了外业劳动强度。  相似文献   

"资源一号"02C卫星影像土地利用变化检测能力分析     

周亦  吕从  王慧敏 《测绘通报》2019,(1):97-100

“资源一号”02C卫星自成功发射以来，被广泛应用于土地资源、矿产资源、地质环境调查，以及国土资源、地质灾害应急监测等应用领域。“资源一号”02C卫星是一颗填补我国高分辨率遥感数据空白的卫星，是根据国土资源主体业务需求定制的第一颗国产高分辨率业务卫星。本文以吉林省和浙江省某试验区“资源一号”02C卫星数据为例，对“资源一号”02C卫星数据融合影像进行了土地利用遥感监测变化信息检测能力的方法试验。根据试验区数据变化信息提取试验结果，对“资源一号”02C卫星影像在土地利用动态遥感监测中的变化检测能力和适用性开展了试验、分析和评价工作。  相似文献   

大数据智能时代地图学课程内容改革探索   总被引：1，自引：0，他引：1  

刘慧敏  邓敏  刘宝举  陈杰 《测绘通报》2021,(6):152-155,165

为了适应当前智能时代大数据的特点和地图应用的发展,本文结合当前地图学课程内容设置现状,分析在大数据时代地图学教学的特点,多源地理信息的参考体系差异、多维度地理信息高效可视化、多尺度表达的灵性化、地图用户需求的多样化等对地图学教学提出的新要求,在此基础上,结合地图学课程教学的理论与实践目标,提出在地图数学基础、地图可视化技术、地图综合和地图分析等进行课程教学内容改革的主要思路,增设新型坐标系知识、多维动态可视化技术、地图应需综合的多尺度表达方法、全息地图理论等主要知识点,并给出了课程实验教学改革的设计。  相似文献   

华北平原及其临区现今地壳形变特征     

刘同文  王慧敏  吴啸龙  张志进 《测绘科学技术学报》2021,38(2):117-123

华北平原及其周缘地壳是我国境内西太平板块北西(NW)向挤压与青藏高原北东(NE)向扩张两大构造机制的交汇部位.首先基于研究区域的实测GPS速度场计算了研究区域无整体旋转速度场;然后采用基于球坐标的最小二乘配置模型整体解算了研究区域GPS应变场;最后利用震源机制解数据反演了区域地壳最大、最小主应力分布,据此研究区域地壳岩石圈整体的地壳形变空间分布特征.结果显示,研究区域地壳岩石圈现今构造形变刚性特征明显,盆地沉陷与断层活动共同控制着研究区域内部的相对形变场,面膨胀值空间分布与区域主要盆地构造具有较好的一致性.而郯庐断裂展布区与华北盆地北缘部位是研究区域地壳的两条重要剪切形变带.其中,郯庐断裂在渤海湾南北两侧的形变特征存在较为显著的差异变化,且该差异可能与地壳岩石圈应力场的空间差异性相关.  相似文献   

中国产业结构变动的碳排放效应研究——基于省级面板数据   总被引：2，自引：0，他引：2  

肖慧敏 《地域研究与开发》2011,30(5):84-87,92

在二氧化碳(CO2)排放影响因素的模型框架内,利用1995—2008年中国省级的面板数据,着重分析产业结构演变对CO2排放的影响。结果表明,产业结构演进决定CO2排放的基本走向,刚性产业结构演进特征使单位CO2排放居高不下;二产主导的产业结构对我国CO2排放产生了明显的增速效应,延缓了CO2排放倒"U"型变化过程。因此,依托低碳经济助推产业结构升级,优化第一、第二产业内部结构,大力发展第三产业,转向低能耗低CO2排放的产业结构是中国低碳经济发展的必由之路。  相似文献   

利用自然语言空间关系的空间查询方法研究     

邓敏  黄雪萍  刘慧敏  李光强 《武汉大学学报(信息科学版)》2011,36(9):1089-1093

首先,从空间认知语言学的角度研究了空间关系自然语言描述中谓词、量词等的分类方法;然后,在分析空间查询语言特点的基础上建立了自然语言空间查询的4类句法模式;最后,设计了一个基于自然语言空间关系的空间查询系统框架,并进行了初步实现。  相似文献   

基于合成孔径雷达交叉极化通道数据的海上目标探测   总被引：1，自引：0，他引：1  

王运华  刘晓燕  李慧敏  张彦敏 《海洋学报(英文版)》2015,34(1):85-93

Azimuth ambiguities(ghost targets) discrimination is of great interest with the development of a synthetic aperture radar(SAR). And the azimuth ambiguities are often mistaken as actual targets and cause false alarms. For actual targets, HV channel signals acquired by a fully polarimetric SAR are approximately equal to a VH channel in magnitude and phase, i.e., the reciprocity theorem applies, but shifted in phase about ± for the first-order azimuth ambiguities. Exploiting this physical behavior, the real part of the product of the two cross-polarized channels, i.e.(S S)HV VH, hereafter called A12 r, is employed as a new parameter for a target detection at sea. Compared with other parameters, the contrast of A12 r image between a target and the surrounding sea surface will be obviously increased when A12 r image is processed by mean filtering algorithm. Here, in order to detect target with constant false-alarm rates(CFARs), an analytical expression for the probability density function(pdf) of A12 r is derived based on the complex Wishart-distribution. Because a value of A12 r is greater/less than 0 for real target/its azimuth ambiguities, the first-order azimuth ambiguities can be completely removed by this A12r-based CFAR technology. Experiments accomplished over C-band RADARSAT-2 fully polarimetric imageries confirm the validity.  相似文献   

A density-based approach for detecting network-constrained clusters in spatial point events     

Min Deng  Xuexi Yang  Jianya Gong  Yang Liu  Huimin Liu 《International journal of geographical information science》2019,33(3):466-488

Existing spatial clustering methods primarily focus on points distributed in planar space. However, occurrence locations and background processes of most human mobility events within cities are constrained by the road network space. Here we describe a density-based clustering approach for objectively detecting clusters in network-constrained point events. First, the network-constrained Delaunay triangulation is constructed to facilitate the measurement of network distances between points. Then, a combination of network kernel density estimation and potential entropy is executed to determine the optimal neighbourhood size. Furthermore, all network-constrained events are tested under a null hypothesis to statistically identify core points with significantly high densities. Finally, spatial clusters can be formed by expanding from the identified core points. Experimental comparisons performed on the origin and destination points of taxis in Beijing demonstrate that the proposed method can ascertain network-constrained clusters precisely and significantly. The resulting time-dependent patterns of clusters will be informative for taxi route selections in the future.  相似文献