基于多波束背向散射强度信号的海底表层沉积物粒度分类研究——以澳洲Joseph Bonaparte湾为例

近海海底地形探测与沉积物精确分类对涉海工程建设、生物栖息地反演以及海底资源勘查与开发具有重要的现实意义。以澳洲Joseph Bonaparte湾为例,利用多波束测深技术获取了该海湾约880 km2水域的水深数据与背向散射强度信号,结合同步采集的54个海底表层沉积物样品,通过随机决策树模型对该海域海底表层沉积物进行了分类研究。结果表明:（1）利用随机决策树模型分析该海域沉积物类型与背向散射强度的关系时,当模型内部参数设置:树的总数为200,最小分裂节点为2,每棵树的最大分裂级数为5时,可提高预测准确率;（2）该参数设置下,利用13°和37°入射角的背向散射强度预测该海域沉积物类型时,准确率最高,其值为83.3%,且在研究海域,砂质砾和砾质砂分布在背向散射强度较强的深槽或海沟等地区,而砾质泥质砂和含砾泥质砂主要分布在背向散射强度较弱的浅水海域。分析还发现,当水深数据作为预测海底表层沉积物类型的特征变量时,有可能降低最终预测结果的准确率。     

合成孔径雷达与森林地上生物量反演：好奇和实用的平衡

好奇是科学与技术发展、不断创新的源泉,实用则是科技发展、创新的结果服务人类、回馈社会,两者无不例外共同不断地驱动着合成孔径雷达技术和森林地上生物量反演的研究和发展。在全球气候急剧变化的今天,好奇和实用的平衡则更加至关重要。地球陆地表面森林面积大小和树木生物量是估算各国或者全球碳储量、排放及其变化的重要参数。好奇已产生的成功案例表明,树木生物量的反演与全极化、极化干涉、层析合成孔径雷达SAR(Synthetic Aperture Radar)技术及数据集紧密相关。反思过去,兼顾好奇和实用,对地上树木生物量的反演,建议将来考虑以下4种方案,即星载双波段SAR和异速方程(Allometric Equation),星载激光雷达LiDAR(Light Detection and Ranging)和异速方程,第3个方案是前面两个方案的结合,方案4为探索和好奇性的。     

基于激光云高仪的北京沙尘气溶胶特征分析

利用激光云高仪对2015年春天北京沙尘天气过程进行连续观测,结合常规地面气象要素、能见度和PM_(10)颗粒物质量浓度变化分析了两次沙尘天气过程中浮尘、扬沙和沙尘暴三类天气现象时气溶胶后向散射系数的时空分布特征,分析了云高仪后向散射系数与PM_(10)颗粒物质量浓度的相关性。结果表明:激光云高仪能够监测沙尘气溶胶粒子的时空变化,扬沙和沙尘暴期间后向散射系数随高度的增加而减小,后向散射系数在0.005 km~(-1)·srad~(-1)以上的沙尘层厚度约500 m;云高仪的近地面大气后向散射系数变化趋势与PM_(10)颗粒物浓度变化相同,10、50和100 m高度上的后向散射系数与PM_(10)颗粒物质量浓度的相关系数均在0.82以上。     

电子背散射衍射(EBSD)技术在地壳构造变形研究中的应用

电子背散射衍射(EBSD)技术是岩组学研究的一项革命性新技术。该技术可以对传统的岩石薄片进行分析,实用性高,观测精度达到亚微米级别。配合扫描电子显微镜、阴极发光、波谱、能谱分析设备,EBSD技术可以对透明和非透明的任何对称性晶体进行取向测量,快速获取晶体显微结构、微区成分与晶体学参数,可以对晶体开展形貌观察、晶体优选方向(CPO)、取向差分析、物相鉴定、应变测量、晶界分析、变形机制、位错滑移系、晶内变形、温压条件研究。结合聚焦离子束(FIB)技术,可以获取矿物的三维结构图像。对地壳的主要矿物进行组构分析,结合野外矿物变形特征与试验岩石学研究成果,可以开展地壳构造运动学、动力学的研究。本文介绍岩组学的研究历史,以及EBSD技术在地壳常见矿物石英、钾长石、斜长石、角闪石以及假熔岩构造变形研究中的最新进展与典型实例,并对EBSD研究结果中一些潜在的不确定性因素进行了讨论。     

基于区域增长的单幅雷达测图算法

探讨了雷达在获取数字高程中的应用,在研究雷达成像余弦散射模型的基础上,分析了常用的利用余弦散射模型提取高程算法的优缺点,提出了基于区域增长的余弦散射单幅雷达测图的新算法。并以河北张北地区的ERS1卫星雷达影像为例进行了验证,取得了良好的效果。     

Estimation of water cloud model vegetation parameters using a genetic algorithm

Abstract

The water cloud model is used to account for the effect of vegetation water content on radar backscatter data. The model generally comprises two parameters that characterize the vegetated terrain, A and B, and two bare soil parameters, C and D. In the present study, parameters A and B were estimated using a genetic algorithm (GA) optimization technique and compared with estimates obtained by the sequential unconstrained minimization technique (SUMT) from measured backscatter data. The parameter estimation was formulated as a least squares optimization problem by minimizing the deviations between the backscatter coefficients retrieved from the ENVISAT ASAR image and those predicted by the water cloud model. The bias induced by three different objective functions was statistically analysed by generating synthetic backscatter data. It was observed that, when the backscatter coefficient data contain no errors, the objective functions do not induce any bias in the parameter estimation and the true parameters are uniquely identified. However, in the presence of noise, these objective functions induce bias in the parameter estimates. For the cases considered, the objective function based on the sum of squares of normalized deviations with respect to the computed backscatter coefficient resulted in the best possible estimates. A comparison of the GA technique with the SUMT was undertaken in estimating the water cloud model parameters. For the case considered, the GA technique performed better than the SUMT in parameter estimation, where the root mean squared error obtained from the GA was about half of that obtained by the SUMT.

Editor D. Koutsoyiannis; Associate editor L. See

Citation Kumar, K., Hari Prasad, K.S. and Arora, M.K., 2012. Estimation of water cloud model vegetation parameters using a genetic algorithm. Hydrological Sciences Journal, 57 (4), 776–789.     

Applications of ALOS PALSAR for monitoring biophysical parameters of a degraded black mangrove (Avicennia germinans) forest

Within the last few decades mangrove forests worldwide have been experiencing high annual rates of loss and many of those that remain have undergone considerable degradation. To understand the condition of these forests, various optical remote sensing platforms have been used to map and monitor these wetlands, including the use of these data for biophysical parameter mapping. For many mangrove forests a reliable source of optical imagery is not possible given their location in quasi-permanent cloud cover or smoke covered regions. In such cases it is recommended that Synthetic Aperture Radar (SAR) be considered. The purpose of this investigation was to examine the relationships between various ALOS-PALSAR modes, acquired from eight images, and mangrove biophysical parameter data collected from a black mangrove (Avicennia germinans) dominated forest that has experienced considerable degradation. In total, structural data were collected from 61 plots representing the four common stand types found in this degraded forest of the Mexican Pacific: tall healthy mangrove (n = 17), dwarf healthy mangrove (n = 15), poor condition mangrove (n = 13), and predominantly dead mangrove (n = 16).Based on backscatter coefficients, significant negative correlation coefficients were observed between filtered single polarization ALOS PALSAR (6.25 m) HH backscatter and Leaf Area Index (LAI). When the dead stands were excluded (n = 45) the strength of these relationships increased. Moreover, significant negative correlation coefficients were observed with stand height, Basal Area (BA) and to a lesser degree with stem density and mean DBH. With the coarser spatial resolution dual-polarization and quad polarization data (12.5 m) only a few, and weaker, correlation coefficients were calculated between the mangrove parameters and the filtered HH backscatter. However, significant negative values were once again calculated for the HH when the 16 dead mangrove stands were removed from the sample. Conversely, strong positive significant correlation coefficients were calculated between the cross-polarization HV backscatter and LAI when the dead mangrove stands were considered. Although fewer in comparison to the HH correlations, a number of VV backscatter based relationships with mangrove parameters were observed from the quad polarization mode and, to a lesser extent, with the one single VV polarization data.In addition to backscatter coefficients, stepwise multiple regression models of the mangrove biophysical parameter data were developed based on texture parameters derived from the grey level co-occurrence matrix (GLCM) of the ALOS data. A similar pattern to the backscatter relationships was observed for models based on the single polarization unfiltered data, with fairly strong coefficients of determination calculated for LAI and stem height when the dead stands were excluded. In contrast, similar coefficients of determination with biophysical parameters were observed for the dual and quad polarization multiple regression models when the dead stands were both included and excluded from the analyses. An estimated mangrove LAI map of the study area, derived from a multiple regression model of the quad polarization texture parameters, showed comparable spatial patterns of degradation to a map derived from higher spatial resolution optical satellite data.     

星载雷达高度计反演海面风速进展

因为星载雷达高度计风速资料有沿轨分辨率高、精度高的特点,对其进行深入研究有重要意义.在中国海洋二号动力环境卫星刚刚升空之际,对星载雷达高度计反演海面风速围内外研究进展作一个综述.首先介绍星载雷达高度计风速反演的理论依据及存在困难;然后以风速反演进展历程为主线,分别针对后向散射系数、波浪状态、降雨、白沫等物理量引入地球物...     

海底天然气渗漏的地球物理特征及识别方法

海底天然气渗漏是在海洋环境中广泛分布的自然现象.海底天然气渗漏可以指示沉积层中的烃类聚集带,渗漏出的大量气体（主要是甲烷）可能影响全球的气候变化,此外,与海底渗漏相关的浅层气改变了海底沉积物的土工性质,可能对海底工程构成威胁.因此海底渗漏研究意义重大.海底天然气渗漏不仅影响海底沉积物的物理性质,而且还极大地改变海底地形地貌,它能在海底形成麻坑、泥火山、冷泉碳酸盐岩以及化学自养生物群落等现象.在海底渗漏发生的地方,地形地貌特征可以在海洋测深和逆向散射数据上得到反映;沉积物的声学特征可以在地震剖面上得到反映,如形成声混浊、声空白、亮点、多次波、速度下拉等;有些渗漏在海面形成油渍膜,油渍膜可以在合成孔径雷达图像上得到反映.根据海底渗漏的上述地球物理特征,可以识别出可能渗漏区域,海底渗漏的证实需要用到海底观测和取样分析资料.     

滇西三江地区西盟群的再认识——来自构造变形特征及锆石U-Pb年代学的证据

位于保山-掸泰地块东缘的西盟群,长期以来被认为是该地块在我国境内唯一出露的"前寒武纪"基底变质岩系,但其缺乏可靠的年代学数据和化石支持。本文基于详细地野外考察和显微构造分析认为,西盟群变质岩系可解体为花岗质糜棱岩和浅变质岩。前者主要出露于西盟穹形隆起的核部,遭受了强烈的韧性剪切变形;后者分布于隆起的边缘及东西两侧,归属为帕克组、王雅-允沟组。通过变形岩石的石英EBSD组构分析,揭示出位于西盟隆起核部的岩石经历了中等温度条件(550~650℃,角闪岩相)下的变形作用,并叠加了较低温度条件(400~550℃,绿片岩相)下的变形作用;而靠近西盟隆起边部的岩石仅经历了较低温度条件(400~550℃,绿片岩相)下的变形作用。本文还对西盟群变质岩中的3个花岗质糜棱岩样品进行了LA-ICP-MS锆石U-Pb测年,得到的锆石U-Pb年龄分别为455±3Ma、456±3Ma和454±3Ma。结合前人获得的年代学数据和化石资料,认为西盟群变质岩系的原岩主要由两个不同时期的物质组成,即中-晚奥陶世(~460Ma)侵入的花岗岩及寒武纪的碳酸盐岩和碎屑岩夹少量基性火山岩等;前者遭受强烈变质变形作用的改造,形成花岗质糜棱岩;后者遭受低级变质作用形成千枚岩、片岩、大理岩等浅变质岩。进而表明,前人将西盟群作为保山地块的"前寒武系"结晶基底变质岩系是不合理的。