浅议我国北方地区的沙漠化问题

本文根据作者在我国沙漠地区的多年研究工作,对沙漠化的概念含义、我国沙漠化的成因和沙漠化现状等问题提出了看法。     

T市平面控制网的扩建及与1954北京坐标系的关系

本文论证了58T市独立坐标系与87T市独立坐标系的区别，使用T市扩建二等GPS网的平差成果，给出了87T市独立坐标系精确变换到1954北京坐标系的方法与参数。     

卫星遥感探讨杭州湾跨湖桥古文化消失原因

 8000 a前产生于杭州湾南部的跨湖桥史前灿烂文化，在辉煌了1000多a后，却神秘地消失了。针对这种消失，考古界还没有发 现确凿的原因。本文从卫星遥感角度，分析跨湖桥所处的地理、地貌特征，提出了钱塘江天文大潮冲毁跨湖桥文化的假说，希望这种 观点能够对跨湖桥这个难以用常规考古方法解决的史前文化消失问题提供一种有益的研究方法和思路。     

滨里海盆地东缘阿克纠宾地区遥感地质及地球物理场研究

 以图像处理、GIS为平台，对哈萨克斯坦阿克纠宾地区的重、磁、电、遥感及地震资料进行了综合分析。指出，该地区重、磁力资料信息含量较高，对于确定盐下构造分布具有积极意义。使用遥感资料对小断层及裂隙发育状况进行研究，有助于裂隙孔隙型碳酸盐岩油藏开发注水效率的提高。同时可对扎纳若尔、阿里别克莫拉等油田的井网状况进行监控和地面设施进行调查。     

中国海岸带专用地图投影设计

地图投影是各类海岸带信息的空间定位框架要素之一。通过对目前我国海岸带常用的各种地图投影现状分析,设计并实现全国海岸带专用投影———斜轴等角圆锥投影,该投影不仅使得整个中国海岸带实现无缝的一体化表达,而且使变形达到最小。文中详细阐述该投影的设计思想和设计原理,并将结果与其他各种海岸带投影进行详细的分析比较。     

战区军事地理系列专题地图制图研究

本文论述了制作战区军事地理系列专题图的必要性和可能性:以济南战区为例,以军事地理学和地图制图学为基础理论,探讨了战区军事地理系列专题地图的图幅构成与设计的基本原理和方法;并在微机上初步研制了制作该系列专题地图的软件系统。     

隧道GPS网对横向贯通误差的影响

本文在阐述隧道工程独立坐标系和隧道ＧＰＳ网数据处理方法的基础上推导出ＧＰＳ网对横向贯通误差影响的通用计算公式，分析了隧道ＧＰＳ网基准数据位置对横向贯通误差的影响。     

利用GEOSAT／ERM卫星测高数据计算中国近海海平面

本文利用一年（１９８６年１１月８日～１９８７年１１月１７日）２２个ＥＲＭ周期的ＧＥＯＳＡＴ卫星测高数据计算出中国近海海域（１０５°～１３５°Ｅ，０°～４０°Ｎ）相对于ＧＲＳ８０参考椭球面的１°×１°年平均海平面。该海平面我们称之为ＩＧＧＭＳＳ９５平均海平面。在数据处理过程中，由于采用了混合轨道误差模型及交叠平差技术，极大地消除了在误差中占主要成分的径向轨道误差影响，使得ＩＧＧＭＳＳ９５平均海平面的总体精度达到±２０～３０ｃｍ（ＲＭＳ）水平。与ＯＳＵ９１Ａ重力大地水准面模型相比较可以发现两者具有惊人的一致性。     

Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data

Information on tree species composition is crucial in forest management and can be obtained using remote sensing. While the topic has been addressed frequently over the last years, the remote sensing-based identification of tree species across wide and complex forest areas is still sparse in the literature. Our study presents a tree species classification of a large fraction of the Białowieża Forest in Poland covering 62 000 ha and being subject to diverse management regimes. Key objectives were to obtain an accurate tree species map and to examine if the prevalent management strategy influences the classification results. Tree species classification was conducted based on airborne hyperspectral HySpex data. We applied an iterative Support Vector Machine classification and obtained a thematic map of 7 individual tree species (birch, oak, hornbeam, lime, alder, pine, spruce) and an additional class containing other broadleaves. Generally, the more heterogeneous the area was, the more errors we observed in the classification results. Managed forests were classified more accurately than reserves. Our findings indicate that mapping dominant tree species with airborne hyperspectral data can be accomplished also over large areas and that forest management and its effects on forest structure has an influence on classification accuracies and should be actively considered when progressing towards operational mapping of tree species composition.     

Lidar-aided analysis of boreal forest backscatter at Ku band

This paper analyzes the backscatter of the microwave signal in a boreal forest environment based on a Ku -band airborne Frequency-Modulated Continuous Waveform (FMCW) profiling radar—Tomoradar. We selected a half-managed boreal forest in the southern part of Finland for a field test. By decomposing the waveform collected by the Tomoradar, the vertical canopy structure was achieved. Based on the amplitude of the waveform, the Backscattered Energy Ratio of Canopy-to-Total (BERCT) was calculated. Meanwhile, the canopy fraction was derived from the corresponding point cloud recorded by a Velodyne VLP-16 LiDAR mounted on the same platform. Lidar-derived canopy fraction was obtained by counting the number of the first/ the strongest returns versus the total amount of returns. Qualitative and quantitative analysis of radar-derived BERCT on lidar-derived canopy fraction and canopy height are investigated. A fitted model is derived to describe the Ku-band microwave backscatter in the boreal forest to numerically analyze the proportion contributed by four factors: lidar-derived canopy fraction, radar-derived canopy height, the radar-derived distance between trees and radar sensor and other factors, from co-polarization Tomoradar measurements. The Root Mean Squared Error (RMSE) of the proposed model was 0.0958, and the coefficient of determination R2 was 0.912. The fitted model reveals that the correlation coefficient between radar-derived BERCT and lidar-derived canopy fraction is 0.84, which illustrates that lidar surface reflection explains the majority of the profiling /waveform radar response. Thus, vertical canopy structure derived from lidar can be used for the benefit of radar analysis.