Landsat7 ETM＋影像的融合和自动分类研究

利用SFIM、MLT、HPF和修改的Brovey(MB)等遥感影像融合算法对Landsat 7 ETM 影像进行融合和自动分类研究，并就融合影像的光谱保真度、高频空间信息融人度和分类精度对这些方法进行评价。结果表明SFIM变换几乎完全保持了原始影像的光谱特点，并具有最高的平均分类精度；MB变换具有最高的高频空间信息融人度；MLT变换也具有较高的分类精度；只有HPF变换的各项指标都不突出。所有4种融合影像的分类精度都较原始影像的分类精度有明显的提高。这表明，源于同一传感器系统的不同分辨率影像的融合可以避免异源传感器融合影像所常见的各种参数、时相和配准误差，所以能够明显地提高影像的自动分类精度。     

Spectral Filtering and Classification of Terrestrial Laser Scanner Point Clouds

A method is presented for filtering and classification of terrestrial laser scanner point clouds. The algorithm exploits the four-channel (blue, green, red and near infrared) multispectral imaging capability of some terrestrial scanners using supervised, parametric classification to assign thematic class labels to all scan cloud points. Its principal advantage is that it is a completely data-driven algorithm and is independent of spatial sampling resolution since the processing is performed in four-dimensional spectral feature space. Its application to two data-sets of different spatial extent and spatial and spectral complexity is reported, for which respective overall classification accuracies of 87·0% and 82·0% were achieved. Analysis of the input data with emphasis on the characteristics pertinent to the anticipated outcomes precedes detailed analysis of the classification results and error sources and their causes. Erroneously classified points are attributed to radiometric errors stemming from both detector hardware and physical effects.     

对江西农经网如何更好地提供信息服务的探讨

分析了江西农村经济信息网(www.jxagriec.gov.cn)的现状,指出农经网信息服务正面临着挑战,并在此基础上阐述了农经网信息服务的发展思路。     

乾安地区盐碱地显热通量的测量

文中给出了用大孔径闪烁仪在 2 0 0 0年生长季观测到的盐碱地区显热通量的主要结果 ,并初步计算了当地的水热平衡状况。结果表明 :乾安盐碱地区显热通量占净辐射量的百分比在干旱、非生长季达到 6 5 % ,在多雨、植被生长季仅为 11% ;显热通量因降水而明显降低 ,幅度与降水强度有关 ,反映了当地的气候和土壤特征。文中还把LAS的测量结果与传统的梯度法作了比较 ,结果基本一致。     

新疆雷暴天气过程分型

对新疆39a雷暴天气资料的普查，得到367次雷暴天气过程，归结出4种天气形势，雷暴天气由冷锋和中尺度高压造成。     

造山作用概念和分类

本文从造山作用的特征标志出发讨论了Sengor造山带定义的缺陷， 总结了造山作用的六条特征标志，并给出了造山作用新的定义。该定义包括了造山作用的起因、特征标志和大地构造背景。评述了造山带陆内、陆缘、陆间三分法方案的不足之处和剪压造山带的单独设类问题，提出了造山带板内、俯冲、碰撞三分方案。针对碰撞造山带，笔者在总结探讨现有分类方案的优点的基础上， 提出碰撞造山带陆陆碰撞、碰撞增生、弧陆碰撞和无大陆型碰撞造山带四分法方案，其中无大陆型碰撞造山带是描述陆壳物质形成初期计体拼合聚合过程的新类型。     

基于MAPGIS的1∶50万土地利用数据库系统设计与实现

土地利用资料是国家重要的基础地理资料 .针对全国土地利用数据进行建库管理会对国家建设起到重要的作用 .以MAPGIS为基础 ,按照一定的设计原则提出系统总体上应有的数据编辑、查询、统计等六大模块及其主要的功能 .详细说明了在MAPGIS平台的支持下全国土地利用数据库的数据组织方式 ,以及外部属性与图形数据的关联方式、图库中图元的B+ 树索引的结构、数据检索、输出流程等关键技术问题的解决方案 .     

为我国土壤科学的发展奋斗终生的李连捷院士

文章简述了李连捷先生为中国的土壤科学和为生产服务而奋斗的一生。20世纪40年代,他在去美国深造之前,就在国内到贵州、广西和华南的许多省区进行了大面积的土壤调查工作。新中国成立后,他欣然接受先后到黑龙江、青海和内蒙古等省区进行荒地资源垦殖的调查任务,并于50～60年代,先后参与和组织了对西藏、新疆等地多专业的大型综合考察。通过这些考察,为西部大开发摸清和积累了大批可贵的自然资源资料,为我国土壤的发生和分类、土地资源的合理利用以及国民经济的发展做出了积极贡献。李先生在他近半个世纪的教学工作中,为我国培养了大批土壤科学人才。他一生刚正不阿、高风亮节,为我们树立了学习的榜样。在李连捷先生逝世10周年之际,仅以此文表达对他的深切怀念。     

利用ERS-2 SAR图像纹理分析方法揭示长白山天池火山近代喷发物空间分布特征

简单介绍了SAR图像的纹理特征以及正交小波变换纹理提取方法。论述了SAR图像的纹理特征参与分类的重要性。以长白山天池火山为例,通过对ERS2SAR图像进行纹理分析,提取了SAR图像两个层次的尺度变化、时频局部化和方向性纹理特征。并将SAR纹理特征与TM图像及DEM进行复合,利用多源信息各自的优势,进行了BP神经元网络分类,从较大范围对长白山天池火山735±15aB.P.大喷发的喷发物空间分布进行评价。获取了长白山天池火山近代喷发物的空间分布及规模。这对长白山天池火山未来喷发危险性初步评价、火山地质制图及火山灾害预测有重要意义。     

A multi-scale study on land use and land cover quality change: The case of the Yellow River Delta in China

This paper presents a case study of the Yellow River Delta in China, to trace land use and land cover changes during the past 20 years, with an emphasis on land quality changes. Three sets of data are used in this case study: remote sensing data derived from satellite images; crop yield data from statistics; and soil data collected by the researchers in the field. Our study reveals that at the regional scale, LUCC has taken place in a positive direction: vegetation cover has been expanding and crop yields per hectare have been on rise. However, while the overall eco-environment has improved, the improvement is uneven across the Delta region. At local levels, some areas show signs of increased salinization and declining organic content. Both natural forces and human activities are responsible for the LUCC, but human activities play a more important role. While some impacts of human activities are positive, the damages are often long-lasting and irreversible. We also conclude that it is necessary to use both macro data (such as remote sensing data) and micro data (data collected in the field) to study land quality change. The former are efficient in examining land quality changes at the regional scale, the latter can serve to verify ground patterns revealed from macro data and help to identify local variations, so as to get a comprehensive understanding of LUCC and promote sustainable land use and land management. This revised version was published online in July 2006 with corrections to the Cover Date.