Testing satellite and ground thermal imaging of low-temperature fumarolic fields: The dormant Nisyros Volcano (Greece)

The Nisyros Volcano (Greece) was monitored by satellite and ground thermal imaging during the period 2000–2002. Three night-scheduled Landsat-7 ETM⁺ thermal (band 6) images of Nisyros Island were processed to obtain land surface temperature. Ground temperature data were also collected during one of the satellite overpasses. Processed results involving orthorectification and 3-D atmospheric correction clearly show the existence of a thermal anomaly inside the Nisyros Caldera. This anomaly is associated mainly with the largest hydrothermal craters and has land surface temperatures 5–10 °C warmer than its surroundings. The ground temperature generally increased by about 4 °C inside the main crater over the period 2000–2002. Ground thermal images of the hydrothermal Stephanos Crater were also collected in 2002 using a portable thermal infrared camera. These images were calibrated to ground temperature data and orthorectified. A difference of about 0–2 °C was observed between the ground thermal images and the ground temperature data. The overall study demonstrates that satellite remote sensing of low-temperature fumarolic fields within calderas can provide a reliable long-term monitoring tool of dormant volcanoes that have the potential to reactivate. Similarly, a portable thermo-imager can easily be deployed for real-time monitoring using telemetric data transfer. The operational costs for both systems are relatively low for an early warning system.     

城乡一体化地籍信息系统功能的设计

在综合分析了城镇地籍信息系统功能和土地利用信息系统功能的基础上,研究并设计了城乡一体化地籍信息系统的功能.从地籍数据的采集、更新和应用3个层面设计了管理维护、土地调查、地籍变更、土地登记、查询分析、统计分析和共享服务等7个子系统.     

基于GIS和景观生态学的土地整理景观研究

运用GIS技术和景观生态学理论方法,以安徽省淮南市潘集区市级投资重点土地整理项目为例,选取3类景观指标,对项目区内土地整理前后的土地利用现状和景观格局变化情况进行研究。结果表明： 景观类型中水田斑块占绝对优势,斑块分维数、形状指数呈下降趋势,表明斑块形状趋于规则和简单; 斑块数量和斑块密度降低,平均斑块面积和最大斑块面积增加,最大斑块指数增大,景观破碎度降低; 平均分维数和平均形状指数增大,表明景观形状较整理前变得规则,但总体形态变得复杂; 多样性指数和均匀度指数降低,表明在增加了景观分布均匀程度的同时降低了景观的多样性,景观类型有所减少。     

WAAS对流层延迟模型及其在网络RTK中的应用

对流层延迟误差是GPS定位中的一项主要误差源,一般可采用模型改正或待定参数的方法进行处理。本文首先介绍如何使用WAAS模型进行对流层延迟改正,然后给出一种网络RTK的对流层延迟误差的处理方法,最后通过对实测数据的处理,证明本文方法可有效地用于网络RTK用户对流层延迟实时改正和分析。     

Improving the assessment of ICESat water altimetry accuracy accounting for autocorrelation

Given that water resources are scarce and are strained by competing demands, it has become crucial to develop and improve techniques to observe the temporal and spatial variations in the inland water volume. Due to the lack of data and the heterogeneity of water level stations, remote sensing, and especially altimetry from space, appear as complementary techniques for water level monitoring. In addition to spatial resolution and sampling rates in space or time, one of the most relevant criteria for satellite altimetry on inland water is the accuracy of the elevation data. Here, the accuracy of ICESat LIDAR altimetry product is assessed over the Great Lakes in North America. The accuracy assessment method used in this paper emphasizes on autocorrelation in high temporal frequency ICESat measurements. It also considers uncertainties resulting from both in situ lake level reference data. A probabilistic upscaling process was developed. This process is based on several successive ICESat shots averaged in a spatial transect accounting for autocorrelation between successive shots. The method also applies pre-processing of the ICESat data with saturation correction of ICESat waveforms, spatial filtering to avoid measurement disturbance from the land–water transition effects on waveform saturation and data selection to avoid trends in water elevations across space. Initially this paper analyzes 237 collected ICESat transects, consistent with the available hydrometric ground stations for four of the Great Lakes. By adapting a geostatistical framework, a high frequency autocorrelation between successive shot elevation values was observed and then modeled for 45% of the 237 transects. The modeled autocorrelation was therefore used to estimate water elevations at the transect scale and the resulting uncertainty for the 117 transects without trend. This uncertainty was 8 times greater than the usual computed uncertainty, when no temporal correlation is taken into account. This temporal correlation, corresponding to approximately 11 consecutive ICESat shots, could be linked to low transmitted ICESat GLAS energy and to poor weather conditions. Assuming Gaussian uncertainties for both reference data and ICESat data upscaled at the transect scale, we derived GLAS deviations statistics by averaging the results at station and lake scales. An overall bias of −4.6 cm (underestimation) and an overall standard deviation of 11.6 cm were computed for all lakes. Results demonstrated the relevance of taking autocorrelation into account in satellite data uncertainty assesment.     

应用WS/GPS技术的粪渣收运监控系统的开发

通过安装于粪渣收运车辆上的车载称重系统（WS）和全球卫星定位系统（GPS）,经由通用无线分组业务（GPRS）将粪渣收运车载重变化及其位置信息,实时传回监控中心的数据库中[1],并通过集成地理信息系统（GIS）的粪渣收运监控系统浏览、查询、管理粪渣收运情况。主要以车载重量变化信息作为收运监控参考的重要依据,并配合车辆定位...     

关于新、旧北京1954坐标系统的转换与应用

国土部门在北京1954坐标系下,已完成大多数城镇的初始调查工作,并发放了相应的土地证等图件资料。而现在又需要在C级GPS网布设基础控制测量工作,这就产生了它们的坐标转换工作。这里举某市两种坐标转换和比较的实例,以供参考。     

球面等积网格系统生成算法与软件模型研究

利用全球离散网格系统管理海量空间信息是一种受到普遍关注的新途径,具有等积特性的网格系统在大范围遥感影像数据处理方面具有重要的理论意义和应用前景。文中论述的算法在二十面体展开图上建立坐标系描述不同剖分产生的多分辨率网格,利用施奈德多面体投影映射到球面。针对算法特点设计具有网络模拟功能的软件模型。实验结果表明,该软件模型具有较好的扩展性。     

相对差分GPS精度分析

近年来,全球定位系统(GPS)以其精度高、速度快、经济方便等优点,在布设各种形式的控制网、变形监测及精密工程测量等诸多方面都得到迅速广泛的应用。但由于美国的SA和AS政策,使其精度下降,因此各国都在研究如何提高其精度,本文就此问题给出一些观点。     

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.