遥感技术在城市建筑震害预测中的应用研究

长期以来,在城市的震害预测研究工作中,建筑物属性信息的主要获取方法是基于人工调查的传统方式。近年来,随着遥感技术的发展,尤其是高分辨率民用遥感卫星的成功发射,使得利用遥感技术进行城市震害预测成为可能。鉴于传统的信息获取方式存在的费时费力,数据获取周期长,数据信息时效性差等缺点,以郑州市中牟县的部分住宅区为例,对高分辨率遥感影像在城市震害预测中的应用做了相应研究。     

青藏高原东北侧突发性暴雨特征综合分析

对1970-2007年发生在青藏高原东北侧陕西的突发性暴雨研究发现,其夜间降水特点明显,对流层中层较强的偏南气流是突发性暴雨水汽输送贡献最大者和低层辐合的主要动力来源。偏南气流北伸的位置决定突发性暴雨落区偏南或偏北,300hPa一致的纬向12～20m·s-1强风速带为突发性暴雨提供高层抽吸作用。上述两点对突发性暴雨落区有一定的预报指示意义。云图分析显示,突发性暴雨多有中尺度云团配合,上升运动最大值的高度层与突发性暴雨落区地域位置有关。     

基于ai智能图像的工控火电现场爆炸风险评估

对工控火电现场爆炸风险进行评估时,若采用人工识别现场图片信息的方法,容易导致现场图片特征信息采集不准确,存在评估耗时长、评估效率低和评估结果不准确的问题。针对该问题,提出1种基于ai智能图像的工控火电现场爆炸风险评估方法;通过自适应融合方法提取工控火电现场ai智能图像中的特征信息,根据特征信息对工控火电现场ai智能图像进行识别;结合层次分析法和问卷调查法,选取工控火电现场爆炸风险评估指标;在图像识别结果的基础上,通过风险等级集合、评估指标权重,建立工控火电现场爆炸风险评估模型,并与另外2种工控火电现场爆炸风险评估方法进行了对比。研究结果表明:所建方法能够缩短评估时间,且评估效率较高、评估结果准确率较高。     

A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture

Many technologies in precision agriculture (PA) require image analysis and image- processing with weed and background differentiations. The detection of weeds on mulched cropland is one important image-processing task for sensor based precision herbicide applications. The article introduces a special vegetation index, the Difference Index with Red Threshold (DIRT), for the weed detection on mulched croplands. Experimental investigations in weed detection on mulched areas point out that the DIRT performs better than the Normalized Difference Vegetation Index (NDVI). The result of the evaluation with four different decision criteria indicate, that the new DIRT gives the highest reliability in weed/background differentiation on mulched areas. While using the same spectral bands (infrared and red) as the NDVI, the new DIRT is more suitable for weed detection than the other vegetation indices and requires only a small amount of additional calculation power. The new vegetation index DIRT was tested on mulched areas during automatic ratings with a special weed camera system. The test results compare the new DIRT and three other decision criteria: the difference between infrared and red intensity (Diff), the soil-adjusted quotient between infrared and red intensity (Quotient) and the NDVI. The decision criteria were compared with the definition of a worse case decision quality parameter Q, suitable for mulched croplands. Although this new index DIRT needs further testing, the index seems to be a good decision criterion for the weed detection on mulched areas and should also be useful for other image processing applications in precision agriculture. The weed detection hardware and the PC program for the weed image processing were developed with funds from the German Federal Ministry of Education and Research (BMBF).     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.     

A study on the carrying capacity of the available habitat for the Rhinopithecus bieti population at Mt. Laojun in Yunnan, China

Background, aim, and scope  The Yunnan snub-nosed monkey is one of the most endangered primates in the world. It is experiencing a range of ongoing threats and the persisting effects of past disturbances. The prospects for this species are not very optimistic because habitat corridors are severely damaged by logging, grazing, and mining. Each group of the monkeys in different areas is facing a unique variety of threats. Based on genetic analysis, Rhinopithecus bieti should be separated into three management units for conservation, of which the Mt. Laojun management unit involves the most endangered primates. Despite the fact that the vegetation on Mt. Laojun is in a relatively pristine state, only two groups of monkeys, of a total of fewer than 300, survive in the area. With this paper, we aimed to address the capacity of the monkeys’ habitat at the study site and the possible reasons for the small populations. Materials and methods  Rapid ecological assessment based on a SPOT 5 image and field survey was used to simulate the vegetation of the whole area based on reference ecological factors of the GIS system. The vegetation map of the site was thus derived from this simulation. Based on the previous studies, the three vegetation types were identified as the suitable habitat of the monkeys. The confusion matrix-based field GPS points were applied to analyze the precision of the habitat map. Based on the map of suitable habitat of the monkeys, the utilization of the habitat and the carrying capacity were analyzed in the GIS. Results  The confusion matrix-based field GPS points were applied to the habitat analysis process, and it was found that the habitat map was 81.3% precise. Then, with the current habitat map, we found that the mixed forest currently used by the monkeys is only a very small fraction (2.65%) of the overall potential habitat of the population, while the dark conifer forest is 4.09%. Discussion  Poaching is the greatest short-term threat to this species, particularly in the southern range where local residents have a strong tradition of hunting. Quite a few individual monkeys are still trapped accidentally due to the high density of traps. These problems are hard to mitigate because it is difficult to enforce laws due to the extremely rugged terrain. Conclusions  The results show that there is a great ecological capacity of the area for the monkey’s survival and a great potential for an expansion of the monkey population at the site. Based on the current population and its geographical range, it can be estimated that the suitable habitat area defined by this study can support more monkeys, about many times the current population. Thus, at least in the Mt. Laojun Area, poaching pressure is the main factor to be responsible for the low density of Yunnan snub-nosed monkeys instead of habitat alteration. Recommendations and perspectives  Based on these results, some suggestions relating to conservation can be made: Focus conservation efforts on the current distribution area of the monkeys and create a 20 km buffer zone; design a long-term plan for the suitable habitat outside the buffer zone to set up a wildlife corridor in the long run; establish an association for the local hunters exploiting, their knowledge on the animals to promote monkey conservation and stop poaching. Also, the map derived from the study helps managers to allocate conservation resources more efficiently and enhances the overall outcomes of conservation measures.     

Commuting partners, dual residences and the meaning of home

The experience of home is one of the most basic of daily-life experiences. Traditionally, the home is grounded in a specific place; in commuter partnerships, however, for part of the time one partner lives near the workplace and away from the family residence. This paper provides insight into the sense of home that relates to the dual-residence situation of a commuter partnership. The meaning of the residence near the workplace is analysed through three dimensions: material, activity patterns, and social. We further classified each dimension in a continuum of meanings of space, place or home. Empirical evidence comes from in-depth interviews with 30 commuter couples in the Netherlands. The results show that the material dimension is most often used to create a sense of home. The activity patterns are primarily focused on the job. The social dimension is the most difficult way of experiencing a home because there is yet a strong relationship between being with one's family and experiencing a sense of home. As a result, many feel as living two separated lives: a work life and a private life. Only a small minority experiences the commuter dwelling as a home away from home in all its three dimensions.     

丹江口库区土地利用/覆被与景观格局变化

丹江口水库作为南水北调中线工程水源地,其库区的土地利用/覆被变化可能带来的生态环境效应备受关注。以2000和2004年的多源遥感影像为主要数据源,解译生成土地分类数据,对研究区内土地利用变化总体特征、速度、景观优势度变化以及景观生态效应进行了分析。结果显示：库区在这4年间土地利用整体结构上没有显著改变,但是耕地、建设用地增加,林地、未利用地减少。景观多样性指数及景观均匀性指数呈下降趋势,说明景观异质程度下降,景观类型有向单一化及非均衡化方向发展的趋势。林地减少加剧库区的水土流失,导致库区的生态环境质量下降,应采取措施促使库区经济与生态环境良性地协调发展。     

一种基于混沌和魔方的数字图像置乱算法

在现有数字图像置乱算法的基础上,分别分析了这些算法存在的不足,详细介绍了混沌序列及其优点。在介绍魔方玩法的基础上,指出可以把对魔方的初始置乱理解成加密过程,并分析魔方的加密原理在数字图像置乱中应用的可能性。并设计了一种结合混沌和魔方优点的数字图像置乱算法。该方法将图像的行列和对角线定义成魔方变换的旋转面,将对魔方的旋转定义成旋转面的循环移动。置乱过程先根据密钥产生混沌序列,再由混沌序列控制魔方变换进行图像置乱。通过与其他算法的实验对比,表明该算法有较好的图像置乱效果,达到了对图像进行置乱的目的。分析表明,该算法的时间复杂度较低,安全性较高,满足实际的应用需要。     

伊犁河谷生态旅游形象定位及产品设计

生态旅游资源是生态旅游开发的基础,但拥有旅游资源并不等于就拥有旅游产品,旅游资源要成为旅游产品,还必须根据市场需求进行形象设计、加工和再创造。伊犁河谷具有得天独厚的生态环境和世所罕见的生物多样性特征,是开发生态旅游产品、发展生态旅游的理想之地。以伊犁河谷生态旅游源为基础,塑造伊犁河谷生态旅游形象,设计开发特色生态旅游产品。