ASAR数据与ETM＋图像融合探测干旱区浅层地下水的应用

介绍了ETM＋图像与ASAR数据在探测浅层地下水方面的优缺点,并通过对内蒙古阿拉善左旗地区遥感资料的处理,研究了光谱图像与雷达数据融合后在探测浅层地下水方面的应用效果。研究表明该方法虽不能精确地探测到浅层地下水的埋深与范围,但对掌握宏观区域上浅表层地下水的分布较之单一数据源具有更快速、更直观的效果。     

基于GEE的1998～2018年京津冀土地利用变化对生态系统服务价值的影响

在京津冀地区可持续发展评估研究中,对生态系统服务价值进行动态估算具有重要意义.本文以京津冀地区为研究区,基于谷歌地球引擎(GEE)云平台采用分类决策树(CART)分类算法对研究区内1998、2003、2008、2013及2018年的Landsat TM/OLI影像进行监督分类得到5个时期土地利用数据并定量分析1998～2018年京津冀地区土地利用动态变化规律,再利用生态服务价值(ESV)当量估算方法定量估算京津冀地区的ESV并结合15 km×15 km尺度格网探明其时空动态变化.结果表明:①1998～2018年间,京津冀地区6种土地利用类型中建设用地(增加16. 67%)及草地(减少13. 73%)面积占比变化幅度最大,水体(减少0. 2%)面积占比变化幅度最小.②京津冀地区ESV总价值在1998～2003年间出现短暂增长(增加91. 97亿元),2003～2018年间持续降低(减少239. 07亿元),主要与建设用地面积在除1998～2003年的其余3个时间段扩张较快有关,6种土地利用类型中林地提供的ESV最高,建设用地及未利用土地提供的ESV最低.③基于15 km×15 km尺度格网的ESV时空分析表明,1998～2018年间京津冀地区ESV中等区逐渐较少,ESV较低区及较高区逐渐增加,且ESV较低区增速高于较高区.④1998～2018年间,京津冀地区6种土地利用类型对价值系数的敏感性系数(SI)范围为0～0. 40,且均低于1,表明本文ESV对修订后的生态系统服务价值系数缺乏弹性,证明本文定量估算ESV的结果是可靠的.在未来经济发展中,京津冀地区应合理优化土地利用格局,加强对林地、草地、水体及耕地的保护.研究可为制定可持续发展战略,建设生态友好型社会提供参考.     

Detection of transfluthrin and metofluthrin genotoxicity in the ST cross of the Drosophila Wing Spot Test

In this study, different concentrations of transfluthrin and metofluthrin have been assayed for genotoxicity by using the Wing Spot Test on Drosophila melanogaster. Standard cross was used in the experiment. Third-instar larvae that were trans-heterozygous for the two genetic markers mwh and flr³ were treated at different concentrations (0.0103 mg mL⁻¹, 0.103 mg mL⁻¹ for transfluthrin and 6 μg mL⁻¹, 60 μg mL⁻¹ for metofluthrin) of the test compounds. Feeding ended with pupation of the surviving larvae and the genetic changes induced in somatic cells of the wing’s imaginal discs lead to the formation of mutant clones on the wing blade. Results indicated that two experimental concentrations of transfluthrin and 60 μg mL⁻¹ metofluthrin showed mutagenic and recombinogenic effects in both the marker-heterozygous (MH) flies and the balancer-heterozygous (BH) flies.     

秦皇岛城市旅游广告的形象定位设计与发展趋势研究

以搜集、整合和分析国内外有关城市旅游广告理论研究资料为基础,从视觉形象设计入手,分析秦皇岛城市旅游广告形象设计问题现状和特点,提出秦皇岛在实施"旅游立市"发展战略中城市旅游广告的形象定位设计的传播策略。     

Monitoring urban growth and detecting land-cover changes on the Istanbul metropolitan area

Istanbul is the most populated city of Turkey with a population of around 10.58 M (2000) living on around 5,750 km². In 1980, the population was only 4.7 M and then it has been more than doubled in only two decades. The population has been increasing as a result of mass immigration. An urbanization process continues and it causes serious increases in urban areas while decreasing the amount of green areas. This rapid, uncontrolled, and illegal urbanization accompanied by insufficient infrastructure has caused degradation of forest and barren lands in the metropolitan area, especially through the last two decades. The watershed basins inside the metropolitan area and the transportation network have accelerated the land-cover changes, which have negative impacts on water quality of the basins. Monitoring urban growth and land cover change will enable better management of this complex urban area by the Greater Istanbul Metropolitan Municipality (GIMM). A temporal assessment of land-cover changes of Istanbul has been documented in this study. The study mainly focuses on the acquisition and analysis of Landsat TM and Landsat GeoCover LC satellite images reflecting the significant land-cover changes between the years of 1990 and 2005. Raster data were converted to vector data and used in Geographic Information Systems (GIS). A database was created for Istanbul metropolitan area to plan, manage, and utilize statistical attribute data covering population, water, forest, industry, and topographic position. Consequently an overlay analysis was carried out and land use/cover changes through years have been detected for the case study area. The capability of Landsat images in determining the alterations in the macro form of the city are also discussed.     

Point Sampling Digital Imagery with ‘Samplepoint’

Measuring percent occurrence of objects from digital images can save time and expense relative to conventional field measurements. However, the accuracy of image analysis had, until now, not reached the level of the best conventional field measurements. Additionally, most image-analysis software programs require advanced user training to successfully analyze images. Here we present a new software program, ‘SamplePoint,’ that provides the user a single-pixel sample point and the ability to view and identify the pixel context. We found SamplePoint to allow accuracy comparable with the most accurate field-methods for ground-cover measurements. Expert use of the program requires minimal training and its ease of use allows rapid measurements from image data. We recommend SamplePoint for calibrating the threshold-detection level of image-analysis software or for making direct measurements of percent occurrence from digital images.     

数字隐写技术及发展趋势

笔者通过强调数字隐写算法和隐写分析算法间的矛盾统一,介绍数字隐写算法的发展历程和趋势以及国内外的研究现状。重点介绍具有代表性的空域LSB隐写算法和频域JPEG图像隐写算法。通过基本算法、对基本算法的分析方法、基本算法改进措施的顺序,介绍算法的发展历程,分析算法的性能。对当前实验研究的进展和数字隐写技术存在的问题进行说明,并提出一些建设性意见,对隐写技术的发展前景和方向进行展望,指出数字隐写技术会成为密码术的重要补充,在信息安全传输方面发挥巨大的作用。     

Sampling and Mapping a Soil Erosion Cover Factor by Integrating Stratification,Model Updating and Cokriging with Images

Cost-efficient sample designs for collection of ground data and accurate mapping of variables are required to monitor natural resources and environmental and ecological systems. In this study, a sample design and mapping method was developed by integrating stratification, model updating, and cokriging with Landsat Thematic Mapper (TM) imagery. This method is based on the spatial autocorrelation of variables and the spatial cross-correlation among them. It can lead to sample designs with variable grid spacing, where sampling distances between plots vary depending on spatial variability of the variables from location to location. This has potential cost-efficiencies in terms of sample design and mapping. This method is also applicable for mapping in the case in which no ground data can be collected in some parts of a study area because of the high cost. The method was validated in a case study in which a ground and vegetation cover factor was sampled and mapped for monitoring soil erosion. The results showed that when the sample obtained with three strata using the developed method was used for sampling and mapping the cover factor, the sampling cost was greatly decreased, although the error of the map was slightly increased compared to that without stratification; that is, the sample cost-efficiency quantified by the product of cost and error was greatly increased. The increase of cost-efficiency was more obvious when the cover factor values of the plots within the no-significant-change stratum were updated by a model developed using the previous observations instead of remeasuring them in the field.     

高分辨率遥感影像的土地利用分类

高分辨率遥感影像在我国土地利用动态监测中展现出良好的应用前景,但与此相关的关键技术问题亟待解决.结合Ikonos影像,分析高分辨率遥感影像的特点,并在我国土地利用现状类型划分的基础上,针对高分辨遥感影像土地利用分类这一关键技术问题,概述常规分类方法,提出一套适宜高分辨率遥感影像土地利用分类的技术路线.     

皖南生态旅游资源及其开发构想

本文分析了皖南生态旅游资源的优势特征,提出了组建皖南生态旅游开发联合体,加强区域旅游形象建议和宣传促销工作,精心设计生态旅游路线等措施。