Imaging spectroscopy in soil-water based site suitability assessment for artificial regeneration to Scots pine

In a humid northern boreal climate, the success rate of artificial regeneration to Scots pine (Pinus sylvestris L.) can be improved by including a soil water content (SWC) based assessment of site suitability in the reforestation planning process. This paper introduces an application of airborne visible-near-infrared imaging spectroscopic data to identify suitable subregions of forest compartments for the low SWC-tolerant Scots pine. The spatial patterns of understorey plant species communities, recorded by the AISA (Airborne Imaging Spectrometer for Applications) sensor, were demonstrated to be dependant on the underlying SWC. According to the nonmetric multidimensional scaling and correlation results twelve understorey species were found to be most abundant on sites with high soil SWCs. The abundance of bare soil, rocks and abundance of more than ten species indicated low soil SWCs. The spatial patterns of understorey are attributed to time-stability of the underlying SWC patterns. A supervised artificial neural network (radial basis functional link network, probabilistic neural network) approach was taken to classify AISA imaging spectrometer data with dielectric (as a measure volumetric SWC) ground referencing into regimes suitable and unsuitable for Scots pine. The accuracy assessment with receiver operating characteristics curves demonstrated a maximum of 74.1% area under the curve values which indicated moderate success of the NN modelling. The results signified the importance of the training set’s quality, adequate quantity (>2.43 points/ha) and NN algorithm selection over the NN algorithm training parameter optimization to perfection. This methodology for the analysis of site suitability of Scots pine can be recommended, especially when artificial regeneration of former mixed wood Norway spruce (Picea abies L. Karst) - downy birch (Betula pubenscens Ehrh.) stands is being considered, so that artificially regenerated areas to Scots pine can be optimized for forestry purposes.     

极化散射特性保持的改进迭代Wishart分类算法

为克服基于极化散射特性保持的迭代Wishart分类算法不适用于城区及对混合散射像素分类欠理想等不足,本文提出一种改进方法.其基本思想是先应用四分量分解算法将像素分成4种基本散射类型和混合散射类型,接着以平均合并度为指导对基本散射类型中的像素自适应聚类,最后对所有像素进行散射特性保持的迭代Wishart分类.试验结果表明...     

含交叉断层的复杂地质体3维建模算法研究

在矿井生产中,出现交叉断层的区域往往是地质构造非常复杂的地方,也是危险高发的区域.对含交叉断层的3维地质建模的算法进行了研究.其主要思想是分别建立岩层和断层的TIN模型,以断层交线作为约束条件,进行带约束三角剖分,从而建立起交叉断层模型.这将有利于矿山的工程管理,减少危险的发生,作为后续采矿生产的依据.     

中国古代测绘发展特点

中国古代测绘发展具有显著特点。本文基于大量测绘史料，论述了中国古代测绘发展道路的独创性、发展速度的跳跃性、测绘方法的实用性等特点及其形成原因，反映了测绘科学发展的若干规律，这对于今天的测绘科技创新具有借鉴意义。     

松毛虫危害的光谱特征与虫害早期探测模式

根据生态学特征，本文将松毛虫危害的针叶样品分为５个等级，对其反射光谱和叶绿素含量进行了测量分析。结果表明，随受害程度加重，叶绿素含量降低，５５０ｎｍ处的反射率、近红外肩反射率与红光最低反射率之差及红界一阶导数谱最大值均呈下降趋势，６３０ｎｍ处反射率呈上升趋势，红界光谱蓝移、叶绿素反射峰红移明显。应用逐步判别分析法对比分析证实了细分光谱特征参量比绿、红、近红外三波段反射率参量有更强的判别分类能力，这就为用细分光谱特征参量早期遥感探测松毛虫害提供了判别模式。     

顾及形态特征和语义信息的双线道路识别方法

双线道路识别与提取是城市路网综合的关键。提出了一种城市双线道路提取的方法。在构建好的道路网眼的基础上,综合考虑双线道路网眼形态特征以及构成网眼路段之间的语义相似度,设计了识别双线道路网眼的综合指标。通过判断网眼综合指标确定最终的双线道路网眼,最后根据识别出的双线道路网眼提取出双线道路。实验表明,该方法能有效提取出城市道路数据中的双线道路。     

基于卫星遥感影像和DEM融合的地质断裂带研究

应用遥感影像进行地表地质分析,具有数据量大、耗时短、费用低廉等优势,可以快速获取大范围区域的相关地质信息,因此,近年来,卫星遥感影像广泛应用于地质分析工作中。但是由于卫星影像在不同时期内的特征不同,且有大量不同的数据源,在不同影像上获取地质特征困难,因此,如何利用影像处技术增强影像中的地质特征,成为遥感影像地质判读的研究重点。地质断裂带调查一般借助各种直接与间接的调查方法以确认断裂带的存在与否和位置,了解断裂带的活动性,并提供点状或剖面数据材料。卫星影像在追踪研究贯穿地表且可为影像所解析的断裂带上,提供真实的影像证据,有助于直接分析影像中断裂带走向和延展。利用遥感影像处理计算,将卫星影像数据叠加到DEM上编制三维地形图,并利用计算机仿真,通过不同方向的投射光源,找出最适合的观察角及最能凸显出重点区域线状地类的状态。对于地质现象的分析及解释上,可提供较平面影像细致、准确的参考依据。     

浑江市幅区域化探异常遥感评价筛选研究

本文介绍了根据国家计委和地矿部的要求,应用遥感地质方法,即主要通过航卫片解译,结合本区已有地质矿产分布和物化探资料的综合分析,对吉林省浑江市幅区域化探异常进行遥感评价、筛选研究的概况。文中主要阐述了区内金、多金属矿成矿地质特征,论述了断裂构造和环状构造与金、多金属矿及化探异常的关系,简介了区域化探异常遥感评价筛选和野外验证结果以及圈定的若干找矿靶区的情况。     

Conjugate ruptures and seismotectonic implications of the 2019 Mindanao earthquake sequence inferred from Sentinel-1 InSAR data

In 2019, four strong earthquakes of Mw>6.4 occurred successively in Mindanao, Philippines. Based on the reports from the USGS and PHIVOLCS, these earthquakes were dominated by strike-slip ruptures. Whether these earthquakes are temporally and spatially related remained unknown. We characterized the coseismic displacement fields during the earthquake sequence using an InSAR technique with Sentinel-1 SAR data. The InSAR deformation measurements convincingly reveal that the four earthquakes produced distinct coseismic displacement patterns. We estimated the source parameters of the earthquakes with a two-step inversion strategy. The optimal model suggests that the earthquake sequence resulted from the reactivation of a conjugate fault structure that involves two nearly vertical left-lateral strike-slip faults and two high-angle right-lateral strike-slip faults. We calculated Coulomb stress changes from the earthquake sequence, suggesting that the previous strong earthquakes had significant stress-encouraging effects on the following events. The regional velocities based on the GPS analysis suggest that the formation of this conjugate structure is mainly due to the westward movement of the subducting Philippine Sea Plate. This earthquake sequence provides a seismotectonic background for subsequent strong earthquakes and helps to better understand the formation mechanisms and seismotectonic implications of conjugate structure rupturing.     

ASTER数据的煤矿区水体信息提取

为实现多光谱数据对煤矿区水体信息提取,以萍乡市芦新岭及周边煤矿为试验区,在国内外学者对水体指数法提取水体信息和应用的启发下,对试验区不同地物的波谱特征进行分析。本文首先利用数学统计方法建立一种ASTER数据综合归一化差异水体指数模型SWI ASTER_xy,然后利用这一模型对试验区进行水体信息提取。试验表明,该模型能够有效地提取矿区各类水体,还可以运用在ASTER数据（或其他多光谱数据）对不同区域不同地物的提取,在遥感地物定量提取上具有很好的效果和潜力,具有一定的推广价值。