Demonstration of a virtual active hyperspectral LiDAR in automated point cloud classification

In this paper, a measurement system for the acquisition of a virtual hyperspectral LiDAR dataset is presented. As commercial hyperspectral LiDARs are not yet available, the system provides a novel type of data for the testing and developing of future hyperspectral LiDAR algorithms. The measurement system consists of two parts: first, backscattered reflectance spectra are collected using a spectrometer and a cutting-edge technology, white-light supercontinuum laser source; second, a commercial monochromatic LiDAR system is used for ranging. A virtual hyperspectral LiDAR dataset is produced by data fusion. Such a dataset was collected on a Norway spruce (Picea abies) sample. The performance of classification was tested using an experimental hyperspectral algorithm based on a novel combination of the Spectral Correlation Mapper and a region growing algorithm. The classifier was able to automatically distinguish between needles, branches and background, in other words, perform a difficult task using only traditional TLS data.     

全球尺度下遥感与地理信息系统一体化软件平台研建进展

地理信息科学与技术在全球变化和地球系统科学研究中,正发挥越来越重要的作用。而在全球尺度下开展分析,必须发展用基于3维坐标进行分析,而且要具备全球尺度上的地表信息提取能力。并支持全球尺度的空间分析与应用的软件。介绍了在Google Earth基础上,开发的遥感和地理信息系统一体化软件平台：全球制图者（Global Mapper,GM）和全球分析者（Global Analyst,GA）。该平台除具备GE强大的空间数据浏览功能之外,还建立了全球地表信息采集与管理、建库与地图叠加、全球图像处理、可视化展示与球面空间分析等技术。该软件突破了传统的2维坐标分析,改变了数据获取和数据管理的方式方法,将在地球系统科学与全球变化研究中发挥重要作用。     

基于ArcGIS和Global Mapper软件的三维地形可视化技术的应用

以某项目的地形测绘为例,阐述基于ArcGIS和Global Mapper软件实现三维地形可视化与测绘的方法及流程,重点论述了数据的采集与处理,三维地形的模拟,海量数据的实时显示,三维地形应用,为用户提供更为直观、实时量测。实践证明：此方法建立的三维地形符合工程应用的要求,具有良好的可行性。     

基于Global Mapper的测绘图形数据转换

Global Mapper支持多种格式的光栅、高程、矢量数据的读取与输出,并内置多种坐标投影方式。尝试挖掘其支持多种数据格式、多种投影模式的功能,快速实现测绘图形数据的转换。通过设置当前工作空间的坐标投影模式,然后打开任何其支持的、含有坐标投影信息的数据,所有数据均自动转换成当前的投影模式,最后将文件输出（另存为）为所需的格式,即可快速完成数据转换。转换的内容主要包括不同格式的DTM(Digital Terrain Model,数字地面模型)数据转换、相同格式但不同坐标投影之间的相互转换,以及卫星影像配准等     

Biophysical and Spectral Characteristics of Cool- and Warm-Season Grasslands under Three Land Management Practices in Eastern Kansas

Grasslands are the largest of the Earth's four major vegetation types and are among the most agriculturally productive lands. Grassland management practices alter biophysical factors, such as plant species composition, soil structure and chemistry, and primary productivity. Large-scale changes in land management practices can have significant impacts on available natural resources, therefore impacting a regional socioeconomics. For these reasons, an improved understanding of the geographic distribution of changing land management practices and how these changes affect grassland biophysical characteristics of an area is critical to improve land use planning and practices. This study investigated the spectral characteristics, as measured using satellite remotelysensed data, of three land management practices [grazing, haying, and management under Conservation Reserve Program (CRP)] on areas dominated by cool- and warm-season grasslands. The satellite imagery was acquired in May, July, and September in 1997 over Douglas County, Kansas. Biomass, vegetation cover, and species richness data were collected around the satellite overflight periods. Our results indicate that the biophysical characteristics and spectral reflectances are significantly different among the three management practices over cool- and warm-season grasslands. Interestingly, sites grazed by livestock had the highest species richness and the highest forb cover, although the total cover is almost the same as the other practices, and they have the highest near-infrared reflectance throughout the growing season.     

南海海底地形可视化分析及其地质意义

海底地形是海洋地质学、海洋地球物理学、物理海洋学和海洋生物学等研究的基础资料,是影响海洋要素分布的重要因素之一。可视化是地形数据解译的关键,它为揭示海底地形与其他海洋要素之间所蕴含的关系和规律提供了独到的方法。基于可视化工具Vertical Mapper,在MapInfo Professional中对南海海底地形信息进行了渲染图与三维可视化实现,并对地形进行了剖面分析,进而将可视化的南海海底地形信息与表层沉积物类型、流场等其他海洋要素信息进行叠加分析,由此探讨了表层沉积物类型的分布与地形、海洋动力条件等的空间相关性,说明海底地形的可视化对于海洋地质现象的解释具有重要的意义。     

月球东海盆地的矿物光谱特征及遥感探测

东海盆地是月球上最年轻的大型撞击盆地之一,其地形地貌和矿物与岩石类型分布将有助于我们深入理解月球撞击盆地形成过程和地质演化历史。LOLA高程数据揭示东海盆地为保存完好的多环撞击盆地。基于月球矿物绘图仪（M3）反射率数据,在东海盆地发现了尖晶石、辉石、结晶斜长石、橄榄石等矿物,采用修正高斯模型（MGM）进行混合矿物光谱分解获取了矿物端员,利用光谱角分类方法（SAM）作出了Maunder 撞击坑的主要矿物分布图。发现的纯结晶斜长石矿物与最近其他月球探测（如Kaguya)相吻合,为月球岩浆洋模型提供了新约束条件。在Lowell撞击坑中央峰发现尖晶石分布,并利用多光谱成像仪（MI）数据进行了验证;利用MGM方法,在Maunder建造上发现结晶斜长石与尖晶石的混合矿物,我们通过分析认为东海盆地的尖晶石在外卢克山脉上可能有更广泛的分布。     

Google Earth 影像在地理国情普查中的补充使用

介绍了利用Google Earth数据作为地理国情普查数据的补充资料的3种方法,总结Goole Earth数据以及Global Mapper软件在地理国情普查工作的应用的一些经验和体会。     

基于混合光谱理论的太湖水体叶绿素a浓度提取

TM图象多波段数据作为遥感监测水体叶绿素a浓度的数据源,已有多种遥感定量模型与之对应,但主要还是以经验模型为主。利用TM数据首先采用特征波段比值方法,建立太湖水体合适的叶绿素a浓度反演的遥感定量模型。由于经验模型的缺陷性,还提出了基于TM数据的水体混合光谱分析模型,同时分析了端元光谱提取方法对模型求解的影响。通过计算叶绿素a浓度模型估算结果与实地测量数据的相关系数和均方根误差(RMSE),可以发现混合光谱分析模型也是水体叶绿素a浓度遥感估算的另一条佳径。