基于SDCORS的车载RTK高程注记点连续采集精度分析

为提高航测法数字线划图(DLG)的生产效率,尽可能减少外业作业时间,基于山东省卫星定位连续运行综合服务系统(SDCORS)的车载RTK技术进行高程注记点采集。采用不同时间(白天、晚上)、不同车速条件进行高程注记点连续采集,并与常规方法(全站仪、单基站RTK)采集高程点进行比较,求取高程中误差,认为在夜间以不大于20 km/h的车速进行采集精度较高。在数字海阳基础地理信息数据采集项目中,利用车载RTK采集346 km2范围内的沿路高程注记点,结果表明能够满足1∶500航测法成图精度要求。     

The adoption of sustainable innovations: Driven by symbolic and environmental motives

Critical to the environmental success of sustainable innovations is the adoption by consumers. The consensus is that instrumental shortcomings of sustainable innovations inhibit their adoption. However, we argue that the adoption of sustainable innovations does not exclusively depend on their instrumental attributes. In addition, people may be motivated to adopt sustainable innovations because of their positive environmental and symbolic attributes, that is, they benefit the environment and can be used to signal positive characteristics to oneself and others. We studied the significance of instrumental, environmental and symbolic attributes for the adoption of two sustainable innovations: electric cars (Study 1) and local renewable energy systems (Study 2), following two methods. Results showed that when asked directly, participants claimed that instrumental and environmental attributes are most important for their decision to adopt sustainable innovations, while symbolic attributes were rated as less important. Interestingly, evaluations of the symbolic and environmental attributes of sustainable innovations, but not evaluations of their instrumental attributes, predicted different indicators of adoption (i.e., interest in, the acceptability of, and intention to adopt these sustainable innovations), suggesting that the significance of symbolic motives for adopting sustainable innovations may not be recognized by consumers. Moreover, favorable evaluations of symbolic attributes particularly enhanced interest in and acceptability of sustainable innovation when participants evaluated the instrumental attributes more negatively, but not when instrumental attributes were evaluated relatively positively. This suggests that the instrumental drawbacks of sustainable innovations may sometimes strengthen their positive signal, which can promote interest in sustainable innovations.     

Can Protection Motivation Theory predict pro-environmental behavior? Explaining the adoption of electric vehicles in the Netherlands

Scholars have proposed that the Protection Motivation Theory provides a valuable framework to explain pro-environmental choices, by employing a wide set of predictors, such as the costs and benefits of current (maladaptive) behavior as well as prospective adaptive behavior. However, no comprehensive empirical tests of the Protection Motivation Theory in the slow onset environmental risk domain have been published yet to our knowledge. This paper aims at closing this gap. We first conceptualized the Protection Motivation Theory for the use in this environmental domain. Next, we present results of a questionnaire study among a large representative sample of Dutch drivers that showed that the Protection Motivation Theory is a relevant theory for modeling different indicators of full electric vehicle adoption. Notably, all theoretical antecedents proved to be significant predictors of different adoption indicators. Respondents were particularly more likely to adopt an electric vehicle when they perceived the negative consequences caused by conventional vehicles as more severe, and when they expected electric vehicles to decrease these consequences. The most important barriers for electric vehicle adoption were perceived high monetary and non-monetary costs of electric vehicles, and benefits associated with the use of a conventional vehicle. Interestingly, we found that environmental risks are more prominent in predicting close adoption indicators; while energy security risks are more prominent in predicting distant adoption indicators. As expected, our findings suggest that both collective concerns and individual concerns predict different indicators of adoption. Individual concerns (in particular perceived costs of driving an electric vehicle) played a more prominent role when predicting close measures of adoption, while collective concerns (e.g., perceived severity of environmental and energy security risks) played a somewhat more prominent role when predicting distant measures of adoption. Implications for research and practice are provided.     

高精度CORS站像控点自动提取方法

CORS站持续稳定运行产生了海量高精度定位点数据,如何挖掘提取高精度可用像控点,以替代部分像控点人工选择或外业测绘工作,具有重要推广价值。本文提出了一种基于高精度CORS定位数据的像控点自动提取方法,并研发了像控点自动提取工具。首先采用Douglas-Peucker算法实现轨迹简化;然后利用ST-DBSCAN提取聚类中心;最后进一步栅格化,优化提取得到高可用像控点集。试验结果表明,像控点提取结果的准确率在94%以上,大大减少了像控点采集的工作量,重复利用高精度像控点信息具有广阔应用前景。     

进城务工人员购物活动时空特征解析——以南京市为例

以南京市进城务工人员为研究对象,在宏观把握其社会经济及空间概况的基础上,分析其线下购物的时空特征及典型时空轨迹。结果表明:(1)时间特征上表现为以低频购物为主;购物时段集中在上下班途中及休息日下午;购买低等级商品时对出行时间较为敏感,约为10 min;购买高等级商品时对出行时间不太敏感,多集中在1 h内。(2)空间特征上表现为购买低等级商品时对出行距离较为敏感,约为0.5 km,购物活动空间较为集聚;购买高等级商品对出行距离敏感性较低,购物出行空间较为分散。(3)时空轨迹上表现为单纯购物活动的购物场所及出行空间等级均较低,购物时长较短,购物时段的连续性在工作日要高于休息日;多目的购物活动的购物场所及出行空间等级则较高,购物时长较长,购物时段集聚度较高。     

面向地理空间信息的轨迹模型及时空模式查询

轨迹数据处理与分析是目前空间信息和数据库等相关领域的研究热点之一。本文从Stop-Move轨迹模型出发,通过集成地理空间上下文信息来建模轨迹数据,并研究轨迹时空模式的查询处理技术。首先分析Stop/Move对象与点/线/面地理空间要素之间的时空关联关系,据此提出显式表达该关联语义的地理关联轨迹模型,在此基础上利用关系-对象数据库技术,为地理关联轨迹模型设计独立于应用的关系模式,接着定义轨迹时空模式查询,并提出基于地理关联轨迹关系模式的SQL处理框架,最后以典型性检索请求为例,讨论分析位置-时间、位置-顺序和位置-关系等三类轨迹时空模式查询的纯SQL处理技术,并以样例轨迹数据验证了本文方法的可行性。     

PixelGrid -UAV 模块在滩涂资源动态监测中的应用

基于无人机的特点,快速准确获取滩涂海域航摄影像,利用PixelGrid-UAV模块影像快速处理系统,结合历史影像数据,实现了滩涂海域资源的动态监测。     

基于SmartImage的低空影像快速拼接应用案例分析

通过对低空数字航空摄影系统中的航摄数据使用SmartImage 软件进行影像数据拼接案例的介绍和分析,叙述了影像拼接的具体作业流程及特点。从数据操作的快速性和简便性上详细分析了其在应急测绘中的应用,为更好地利用无人机航摄数据做好快速应急测绘保障提供了技术思路。     

利用方向纹理特征从影像上搜索道路中心线

针对遥感影像道路中心线提取问题,提出利用方向纹理特征辅助道路中心线匹配搜索的思想,以人工给出的道路种子点和初始搜索方向为基础,运用方向纹理特征直接从遥感影像上匹配搜索道路的中心线。算法通过预测道路的宽度、弯曲等情况来自动调整纹理窗口的大小,因而能够很好地搜索到道路中心线,此外算法针对树木遮挡、车辆压盖设计了相应的处理策略。实验表明:该方法对遥感影像上不同类型道路均有很好的提取效果,且提取效率高于现有的道路提取算法。     

Evolution of high-Mg–Al granulites from Sunkarametta, Eastern Ghats, India: evidence for a lower crustal heating–cooling trajectory

A suite of high-Mg–Al granulites from Sunkarametta, Eastern Ghats Belt, India, shows contrasting prograde assemblages of extremely aluminous orthopyroxene+cordierite+sapphirine and similarly aluminous orthopyroxene+Ti-rich spinel in closely associated domains. Textural and compositional characteristics indicate that both were derived from prograde dehydration–melting of biotite–plagioclase–quartz-bearing protoliths. The former assemblage was stabilized at relatively more magnesian bulk composition. Geothermobarometric data and petrogenetic grid considerations place 'peak' metamorphic conditions at c. 950 °C and 9 kbar. Subsequent to peak metamorphism, the rocks cooled to c . 700–750 °C, with slight lowering of pressure, and the retrograde reactions also involved melt–solid interaction. The inferred P – T  trajectory is one of heating–cooling at lower crustal (25–30 km) depths.