泥沙起动概率的高速摄影测量方法

为了通过实验测量泥沙起动概率,基于封闭槽道内开展的泥沙起动实验,系统论述了基于高速摄影的起动概率测量方法所涉及的起动概率定义、相机采样频率、图像处理方法、起动比例与运动比例的关系等关键问题.根据泥沙在水流紊动猝发作用下起动的物理机制,定义实测起动概率为单个紊动猝发周期内,从一定面积床面上冲刷外移的泥沙比例.根据推移质运动概念模型,提出高速图片拍摄间隔应小于推移质运动的中间时间尺度,以捕获泥沙的每一次起动.在高速图像处理时,通过连续两帧图片之间的灰度差实现运动比例的无偏差提取.进一步分析表明,运动泥沙可处于起动、止动或滑翔状态,运动比例等于起动比例、止动比例和滑翔比例之和,起动比例与运动比例之比等于两张图片之间的时间间隔除以推移质运动的中间时间尺度.基于上述关键技术,将高速摄影测量方法用于泥沙起动概率的测量,结果表明,临界起动水流条件时,床沙处于少量起动现象,对应的临界起动概率与窦国仁所推导的2.28%接近.     

基于小波特征融合的Hyperion影像降维方法

根据影像中地物光谱曲线的小波特征点确定地物识别的合适光谱分辨率,通过融合原先若干窄波段生成具有适合地物识别光谱分辨率的宽波段数据,达到降维高光谱数据的目的。文中对hyperion影像进行坏线和Smile效应去除,经过FLAASH大气校正,得到155个波段。对提取的八类地物的样本平均光谱进行DB4小波分解,计算小波细节系数方差;以小波细节系数信息熵作为特征点,得出不可渗透表面、居民地、水田、裸土4类地物识别适宜光谱分辨率为80nm,其余地物识别适宜光谱分辨率为160nm。以窄波段间的活跃度为指标进行融合,生成降维后的宽波段分别是21个波段和11个波段。8类地物在3尺度和4尺度下的分类结果说明降维影像能满足应用需求,提出的降维方法可行。     

地理信息公共服务平台数据更新技术——以数字沈阳地理空间框架为例

结合沈阳市地理信息公共服务平台数据更新项目,研究地理共享平台数据的更新方式、更新技术以及更新发布一体化流程等关键技术。采用增量更新技术矢量数据,基于历史要素与现势要素节点、分线段的位置关系,检测并提取数据库中更新的要素;利用分词检测方法检测地名信息的匹配度,进行地名数据的更新;基于地名与路网数据,对公交数据进行检测、采集、优化等流程,完成公交数据的更新;并建立平台数据更新与发布一体化流程。经过作业流程控制与编写辅助程序,极大提高数据更新的速度与质量控制水平。     

An analysis of changes in the urban landscape composition and configuration in the Sancaktepe District of Istanbul Metropolitan City,Turkey using landscape metrics and satellite data

Changes in landscape composition and configuration patterns of Sancaktepe Municipal District in the Asian side of Istanbul Metropolitan City of Turkey were analysed using landscape metrics. Class-level and landscape-level metrics were calculated from the land cover/land use data using Patch Analyst, an extension in the Arc View GIS. The land cover/land use data were derived from classified satellite images of Landsat Thematic Mapper of 2002 and 2009 for Sancaktepe District. There was evidence of increase in agglomeration process of built-up patches as indicated by the increases in mean patch size, decrease in total edge and number of patches between 2002 and 2009. The urban expansion pattern experienced overall was not fragmented but concentrated due to infilling around existing patches. Changes in Area-Weighted Mean Shape Index and Area-Weighted Patch Fractal Dimension Index indicated that the physical shapes within built-up, forest and bareland areas were relatively complex and irregular. A conclusion is made in this study that spatial metrics are useful tools to describe the urban landscape composition and configuration in its various aspects and certain decisions whether to approve a specific development in urban planning could, for example, be based on some measures of urban growth form or pattern in terms of uniformity and irregularity, attributable to the dynamic processes of agglomeration and fragmentation of land cover/land use patches caused by urban expansion.     

面向土地利用调查的时空数据库构建技术

为了满足"一调""二调"等不同时期土地利用变化数据管理与分析的需要,文章在分析时态数据库构建中存在的问题的基础上,引入变更事件、重建事件和多基态,建立了基于事件组的多基态修正模型,实现了"一调""二调"土地利用数据一体化存储;针对"一调""二调"空间数据不一致的几何重建和语义转换问题,提出通过重建事件表实现重建前后要素归档及查询;同时,针对土地利用数据管理的现状以及数据形态,提出了土地利用变更增量提取、时态拓扑关系构建的方法,实现了土地利用时空数据库的构建。最后,以武汉市汉南区数据为例开发了原型系统,实验结果表明本文提出的模型、方法具有较强的实用性。     

三维地籍在深圳市土地立体化管理中的应用

针对传统的基于二维平面的土地管理模式和技术不能很好地应对人地矛盾日趋紧张带来的城市土地的立体化利用等问题,该文首先分析了应对这种趋势的解决方法,提出了适应深圳市的土地管理思想:"二维常规化管理为主,三维特殊化管理为辅",然后据此建立了二/三维混合土地管理系统框架,着重阐述了系统建设的内容,并分析了此框架体系在土地立体化管理中的实际应用情况和存在的问题。     

不同时期土地利用空间数据同化方法

针对不同时期土地利用空间数据之间的差异以及常用软件的不足,该文基于空间数据同化基本理论及策略,提出了FME与ArcGIS联合的不同时期土地利用空间数据同化方法。详细阐述了该方法的实施步骤及相关原理,并进行了初步的实验验证。实验结果表明,所提方法能够快速高效地消除不同时期土地利用数据之间在数据格式、数据语义、坐标系统等方面的差异,提高数据之间的协调一致性。该研究为不同时期土地利用空间数据的综合应用与分析提供了参考。     

Soil characterization based on land cover heterogeneity over a tropical landscape: an integrated approach using earth observation data-sets

Soil is a vital part of the natural environment and is always responding to changes in environmental factors, along with the influences of anthropogenic factors and land use changes. The long-term change in soil properties will result in change in soil health and fertility, and hence the soil productivity. Hence, the main aim of this paper focuses on the analysis of land use/land cover (LULC) change pattern in spatial and temporal perspective and to present its impact on soil properties in the Merawu catchment over the period of 18?years. Post classification change detection was performed to quantify the decadal changes in historical LULC over the periods of 1991, 2001 and 2009. The pixel to pixel comparison method was used to detect the LULC of the area. The key LULC types were selected for investigation of soil properties. Soil samples were analysed in situ to measure the physicochemical soil properties. The results of this study show remarkable changes in LULC in the period of 18?years. The effect of land cover change on soil properties, soil compaction and soil strength was found to be significant at a level of <0.05.     

Exploring land use policy scenarios with the use of a cellular automata-based model: urban sprawl containment and sustainable development in Thessaloniki

This study addresses the issue of urban sprawl through the application of a cellular automata (CA)-based model in the area of Thessaloniki, Greece. The model integrates a multiple regression model at the regional level with a CA model at the local level. New urban land is allocated in a disaggregated field of land units (cells) taking into account a wide range of data. Particular emphasis is placed on the way zoning regulations and land availability data are inserted into the model, so that alternative land use policy scenarios could be examined. Thessaloniki, a typical Mediterranean city, is used as a case study. The model is used to compare two scenarios of urban growth up to year 2030; the first one assuming a continuation of existing trends, whereas the second one assuming the enactment of various land use zoning regulations in order to contain urban sprawl.     

Remote sensing-derived national land cover land use maps: a comparison for Malawi

Reliable land cover land use (LCLU) information, and change over time, is important for Green House Gas (GHG) reporting for climate change documentation. Four different organizations have independently created LCLU maps from 2010 satellite imagery for Malawi for GHG reporting. This analysis compares the procedures and results for those four activities. Four different classification methods were employed; traditional visual interpretation, segmentation and visual labelling, digital clustering with visual identification and supervised signature extraction with application of a decision rule followed by analyst editing. One effort did not report classification accuracy and the other three had very similar and excellent overall thematic accuracies ranging from 85 to 89%. However, despite these high thematic accuracies there were very significant differences in results. National percentages for forest ranged from 18.2 to 28.7% and cropland from 40.5 to 53.7%. These significant differences are concerns for both remote-sensing scientists and decision-makers in Malawi.