A multi-index learning approach for classification of high-resolution remotely sensed images over urban areas

In recent years, it has been widely agreed that spatial features derived from textural, structural, and object-based methods are important information sources to complement spectral properties for accurate urban classification of high-resolution imagery. However, the spatial features always refer to a series of parameters, such as scales, directions, and statistical measures, leading to high-dimensional feature space. The high-dimensional space is almost impractical to deal with considering the huge storage and computational cost while processing high-resolution images. To this aim, we propose a novel multi-index learning (MIL) method, where a set of low-dimensional information indices is used to represent the complex geospatial scenes in high-resolution images. Specifically, two categories of indices are proposed in the study: (1) Primitive indices (PI): High-resolution urban scenes are represented using a group of primitives (e.g., building/shadow/vegetation) that are calculated automatically and rapidly; (2) Variation indices (VI): A couple of spectral and spatial variation indices are proposed based on the 3D wavelet transformation in order to describe the local variation in the joint spectral-spatial domains. In this way, urban landscapes can be decomposed into a set of low-dimensional and semantic indices replacing the high-dimensional but low-level features (e.g., textures). The information indices are then learned via the multi-kernel support vector machines. The proposed MIL method is evaluated using various high-resolution images including GeoEye-1, QuickBird, WorldView-2, and ZY-3, as well as an elaborate comparison to the state-of-the-art image classification algorithms such as object-based analysis, and spectral-spatial approaches based on textural and morphological features. It is revealed that the MIL method is able to achieve promising results with a low-dimensional feature space, and, provide a practical strategy for processing large-scale high-resolution images.     

Spectral monitoring of moorland plant phenology to identify a temporal window for hyperspectral remote sensing of peatland

Recognising the importance of the timing of image acquisition on the spectral response in remote sensing of vegetated ecosystems is essential. This study used full wavelength, 350–2500 nm, field spectroscopy to establish a spectral library of phenological change for key moorland species, and to investigate suitable temporal windows for monitoring upland peatland systems. Spectral responses over two consecutive growing seasons were recorded at single species plots for key moorland species and species sown to restore eroding peat. This was related to phenological change using narrowband vegetation indices (Red Edge Position, Photochemical Reflectance Index, Plant Senescence Reflection Index and Cellulose Absorption Index); that capture green-up and senescence related changes in absorption features in the visible to near infrared and the shortwave infrared. The selection of indices was confirmed by identifying the regions of maximum variation in the captured reflectance across the full spectrum. The indices show change in the degree of variation between species occurring from April to September, measured for plant functional types. A discriminant function analysis between indices and plant functional types determines how well each index was able to differentiate between the plant functional groups for each month. It identifies April and July as the two months where the species are most separable. What is presented here is not one single recommendation for the optimal temporal window for operational monitoring, but a fuller understanding of how the spectral response changes with the phenological cycle, including recommendations for what indices are important throughout the year.     

高动态宽带信号码跟踪方法仿真分析

针对高动态场景,单独的码环路很难实现跟踪,由于高动态载波跟踪的算法很成熟,通常应用载波跟踪结果对码环路进行辅助,针对窄体制信号,这种方法可以帮助消除码环的动态误差,但对宽体制信号来说,辅助力度减小。从高动态宽带信号码跟踪误差门限以及跟踪精度入手,分析了单独码跟踪算法的易失锁性,理论和仿真验证应用高动态载波跟踪结果辅助码跟踪算法的有效性,且具有高的跟踪精度。这为导航接收机的跟踪算法提供了理论依据。     

Constructed peer groups and path dependence in international organizations: The case of the international climate change negotiations

International organizations sometimes institutionalize country groupings by specifying differentiated commitments that may, in turn, affect negotiation dynamics. Drawing on incentive-based and socialization arguments, we develop a “constructed peer group” hypothesis suggesting that by creating these groups those organizations may actually construct new lines of confrontation over and above the substance-based disagreements existing between countries. This generates a particular type of path dependence, rendering broad-based international agreements more difficult in the future.We analyze this question at the example of the United Nations Framework Convention on Climate Change's increasingly politicized split between Annex I and non-Annex I countries. Using a self-coded dataset of country oral statements during the negotiations between December 2007 and December 2009 we assess whether Annex I membership influences a country's stance toward other countries’ arguments, while controlling for country characteristics that may drive their preferences and the affiliation to Annex I. We find that the split between Annex I and non-Annex I has indeed influenced negotiation behavior and amplified the divide between developing and industrialized countries in the climate negotiations.     

Assessing changing vulnerability to dengue in northeastern Brazil using a water-associated disease index approach

Water management practices and access to safe water supplies have major implications for human health. While a range of assessments has been developed to assess water vulnerability, limited work has extended these concepts to health and wellbeing. Water-associated disease cycles are characterized by complex linkages between social and ecological determinants, thus conceptualizing vulnerability in the context of health offers a useful framework for analysis. This paper applies a water associated disease index (WADI) as a tool to deepen understanding of changing vulnerability to dengue, comparing conditions in 2000 and 2010 in Pernambuco, Northeast Brazil. Multi-dimensional data were integrated into indicators of exposure and susceptibility using the WADI approach, including water access, land cover, climate, and solid waste collection, and outputs were validated and visualized in map form. The findings illustrate heterogeneous patterns of vulnerability to dengue in the region, and highlight trends of seasonal and long-term changes. Highest vulnerability was observed in densely populated Recife and the surrounding coastal region in both time periods, with climate conditions creating seasonal trends in exposure to dengue. While more remote areas in the semi-arid Sertão showed low vulnerability overall, increases were observed in some areas between 2000 and 2010 due to land use intensification and growing population densities. These findings suggest that interventions should consider the dynamic nature of social and ecological factors that contribute to health outcomes and address current as well as future populations vulnerable to dengue transmission. This vulnerability mapping approach can be applied to other water-associated diseases impacted by global environmental change to highlight priority areas for further investigation and contribute towards improving interventions.     

基于历史数据的黄海浒苔爆发规模预测

依据黄海浒苔初始覆盖面积及最大覆盖面积的历史数据,选取温度、光强、降水3种对于浒苔生长扩散最重要的影响因子,本文提出并建立了基于BP神经网络确定转换系数R的浒苔覆盖面积预测模型,可在浒苔出现初期即实现对本年度浒苔最大覆盖面积的模拟预测,并通过历史数据进行验证。结果表明,所预测的浒苔最大爆发情况与真实情况相符,研究成果可为浒苔的应急准备工作争取更多的时间提供一定参考。     

高海拔隧道涌突水预测分析——以四川小卡子隧道为例

小卡子隧道是连接九龙县城和石棉县城的一条便利通道,它是连接S215和S211的绿色保障,九龙和石棉之间是海拔高度4 000 m以上,九龙县城周边为高原宽谷丘陵地区,地势起伏较大。九龙至周边沿线不良地质和特殊褶皱构造发育,其中冰雪害几乎每年冬春都发生,且影响线路较长,其它地质灾害也时常暴发,致使交通事故频繁发生,成为制约九龙县发展,因而急需要对线路进行改造,拟建连接九龙县至石棉县小卡子隧道即为公路改建工程。     

非卫生垃圾填埋场渗滤液污染防治对策研究

针对非卫生垃圾填埋场环境污染问题,以某垃圾填埋场为例,通过 WHI UnSat Suite软件 HELP模块计算不同填埋条件下渗滤液渗漏量。利用GMS模拟了该垃圾场中心抽水条件下污染物迁移变化规律。结果表明,简单地表防渗条件下,渗滤液渗漏量为现状条件下的50%,增铺 HDPE土工膜后,渗漏量可减少99%。卫生填埋渗滤液仅为现状条件下的3.6＆#215;10-3倍。当抽水量为2000 m3/d时,Cl-浓度呈明显下降趋势,由84 mg/L降至80.1 mg/L。     

宁夏地下水监测现状调查及对策

[目的]针对地下水监测存在问题,提出改进地下水监测工作的对策和建议。[方法]调查地下水监测历史沿革及现状,理出存在主要问题,研究应对策略。[结果]宁夏地下水监测范围小,监测层位浅,监测井标准低老化严重,井网布局和监测项目与面临任务不适应,难以满足地下水管理与开发保护要求,亟需完善地下水监测井网。[结论]做好宁夏地下水监测站网总体规划,建立稳定资金投入机制,加强与国土部门合作,逐年完善地下水监测站网,是做好地下水监测工作主要举措。     

自主技术无人机航空物探(磁/放)综合站研发进展

无人机航空物探技术是航空物探技术的一个新兴分支。文章首先阐述了无人机航空物探技术的国内外研发情况,然后介绍了基于国产彩虹3无人机的国内首套应用于地球物理勘查的无人机航空物探(磁/放)综合站的研究进展。基于国产彩虹3无人机平台,开展了专用飞机改装、超低空地形跟随飞控、远距离遥控遥测等关键技术攻关,集成研发了自主知识产权的无人机航空物探(磁/放)综合站样机,成功开展了面积性应用试验,综合站样机功能、性能等达到了世界先进水平。无人机航空物探(磁/放)综合站研发取得关键进展。