Spatio-temporal data model based on relational database system

In this paper, the entity-relation data model for integrating spatio-temporal data is designed. In the design, spatio-temporal data can be effectively stored and spatiao-temporal analysis can be easily realized.     

Geostatistical approaches to refinement of digital elevation data

Data refinement refers to the processes by which a dataset’s resolution, in particular, the spatial one, is refined, and is thus synonymous to spatial downscaling. Spatial resolution indicates measurement scale and can be seen as an index for regular data support. As a type of change of scale, data refinement is useful for many scenarios where spatial scales of existing data, desired analyses, or specific applications need to be made commensurate and refined. As spatial data are related to certain data support, they can be conceived of as support-specific realizations of random fields, suggesting that multivariate geostatistics should be explored for refining datasets from their coarser-resolution versions to the finer-resolution ones. In this paper, geostatistical methods for downscaling are described, and were implemented using GTOPO30 data and sampled Shuttle Radar Topography Mission data at a site in northwest China, with the latter’s majority grid cells used as surrogate reference data. It was found that proper structural modeling is important for achieving increased accuracy in data refinement; here, structural modeling can be done through proper decomposition of elevation fields into trends and residuals and thereafter. It was confirmed that effects of semantic differences on data refinement can be reduced through properly estimating and incorporating biases in local means.     

Use of multitemporal remote sensing data for mapping the Alfios River network changes from 1977 to 2000

Alfios is the biggest river of the Peloponnese and the ninth longest river in Greece. It drains an area of almost 2575 km² in Western Peloponnese and discharges at Kiparissiakos Gulf. Due to its extent, the Alfios basin presents complex physiography and geomorphology.

During the last 50 years, major direct human activities have had an important impact on the river network shape and on the valley floor morphology. The most important human activities were the channel straightening caused by meander cut-offs in 1950, the construction of two dams: the Ladonas dam in 1955 and the Flokas dam in 1968 and the illegal in-stream gravel extraction that started in the 1960s and continues until today. As a result, the Alfios riverbed has presented very rapid vertical and horizontal (lateral) erosion and significant changes to its network shape. The drainage network follows a straighter course, the number of meanders has been reduced and the seventh order branch is deeply incised. Besides the morphological impacts to the river network shape there are also serious economic damages caused by human activity. During the winter of 1999, the Flokas dam bridge was closed for a long period due to damages at its foundation caused by the heavy rain and illegal gravel extraction. Transportation between the villages in the area became extremely difficult and time consuming and the cost of the repairs was estimated at 500 000 euros. In this study, there is an effort to map the network shape transformation for the period 1977–2000 using multitemporal and multisensor satellite images. One Landsat MSS image, three Landsat TM images, two Landsat ETM images, and one Terra ASTER image have been orthorectified and processed in order to cover the specific period. Principal Component Analysis (PCA) method and Geographical Information System (GIS) techniques have been applied to map the changes in the Alfios River channel. The drainage network straightening and the cut-off of five big meanders were detected and mapped. These changes occurred between 1986 and 2000.     

The dynamics in the distribution of mangrove forests in Pichavaram,South India – perception by user community and remote sensing

This study aims to monitor the forest cover of Pichavaram mangroves, South India over a period of 40 years using remote sensing, and to record the status of mangroves as perceived by the local community. Out of 1471 ha of total reserved forest area, mangroves occupy 906 ha. The remote sensing maps show that there was a loss of 471 ha from 1970 to 1991 and a gain of 531 ha in 2011. Nearby 20 hamlets depend on mangroves for their livelihood. A village survey conducted at Pichavaram shows that more than 90% of the local community is well aware of the prevailing species, their importance especially after the 2004 tsunami and the impact of management practices, increased rainfall and contribution of local community in the recent increased area of mangroves. The same can be noticed from the high-resolution IKONOS image showing the artificial canal network in the restored region and from rainfall records.     

Characterizing wetland dynamics: a post-classification change detection analysis of the East Kolkata Wetlands using open source satellite data

The East Kolkata Wetlands is a unique resource recovery system. The Ramsar Convention recognized it as a ‘Wetland of International Importance’ in August 2002. However, the long-term resource exploitation and land use changes in the dynamic ecosystem have resulted in non-linear environmental responses. This is an attempt using open source remote sensing datasets to capture the spatio-temporal transformation of the wetland resulting from various anthropogenic activities. Landsat MSS and TM imageries of 1973, 1980, 1989, 2001 and 2010 were classified using Maximum Likelihood Classifier to monitor the wetland change; however, to study wetland dynamics, the post-classification wetland change detection maps have been generated for two temporal phases, i.e. 1973–1989 and 1989–2010. This study finds that the area under wetlands has reduced comprehensively in the past 40 years due to the conversion of wetlands into various other uses such as urban expansion of the Kolkata metropolitan city.     

规则格网DEM地形综合方法分析

针对当前丰富多样的DEM地形综合模型,分类阐述其综合原理、关键技术及优缺点,以黄土丘陵1：1万DEM为基础,对其地形综合效果进行对比分析。研究结果表明：现有的DEM地形综合模型各有优缺点;不同综合模型综合后的地形,高程数值随着综合尺度的增加,存在显著差异,而且不同综合模型对流域边界的综合处理也存在显著差异,没有形成客观有效的流域边界描述;当前困扰DEM地形综合的关键问题,是缺乏不同尺度下地形综合质量的客观评价标准,致使现有综合模型地形综合结果和DEM格网分辨率之间没有建立本应存在的内在联系,有待进一步深入研究。     

COMPASS三频数据线性组合优化选取分析

以北斗卫星1支路频点为例,从消除或减弱电离层影响、对流层影响和观测噪声与多路径误差3个方面分析COMPASS三频数据线性组合的优化选取问题,并通过MATLAB模拟,给出一些典型的组合,分析它们可能的应用,为COMPASS三频数据线性组合的优化选取提供一些借鉴。     

国产单极化SAR数据在锰渣尾矿库自动化识别中的应用

为了挖掘国产单极化SAR数据在自动化识别尾矿库中的作用,辅助光学数据以提高锰渣尾矿库的识别精度,针对锰渣尾矿库及其在光学遥感图像中容易混淆的目标,从定性的角度分析了二者的散射特性以及在SAR图像中的差异特点;并开展锰渣尾矿库自动化识别研究;利用面向对象的方法对光学遥感图像进行分割;选取典型锰渣尾矿库及其易混淆目标,进行纹理特性计算。实验结果表明:可以通过纹理特征有效地建立锰渣尾矿库在雷达图像中的识别规则,为实现光学遥感数据和雷达数据相结合的计算机自动识别锰渣尾矿库提供基础。     

基于GIS技术的我国大气可降水量分布研究

利用分布于全国范围内的125个气象探空测站点(每日8:00和20:00)的探空数据,应用数据库编程与GIS技术,对大气可降水量在全国的分布情况进行了分析,得到了2002年全年以及春夏秋冬4个季节(2001年12月和2002年1,2月作为冬季)的平均大气可降水量在全国的分布状况。对数据进行分析可知:在空间上,我国的大气可降水量总体呈东南多,西北及青藏高原地区少的分布状况。同时,由于地形组合状况的特殊性,导致四川盆地、天山北麓等地区的大气可降水量略高于其周围地区;在时间上,夏季的大气可降水量值较高,可达到62mm左右,冬季较少,而春秋季除局部地区外大气可降水量基本持平。     

增城国土资源数据整合研究

信息孤岛是信息化建设的必经过程,信息共享是智慧城市建设所要解决的重点问题。作为智慧城市的重要组成部分,智慧国土的建设必然需要对国土资源数据进行整合。本文基于现有研究成果,结合增城市国土资源数据的实际情况,提出基于数据仓库的国土资源数据整合方案,并对增城市1∶2 000的空间基础数据进行了有效整合。