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The automatic reconstruction of urban scenes from sensory input data is a daunting task. By and large the task remains unresolved, although a considerable amount of research has been devoted to its solution. Many of the proposed methods are either too application dependent, or address only some aspects of the general problem. Moreover it appears that solutions based on a single sensor source, for...
In order for efficient post disaster management, it is important to develop a methodology to capture affected areas from remote sensing data. In this paper, the areas damaged by the 2006 Central Java earthquake are identified from the high-resolution satellite images. Based on the field survey for the spectral reflectance of surface materials, the image classification technique is applied to post-earthquake...
We have used high resolution optical satellite stereo data to generate a digital surface model containing building heights, so that 3-dimensional information is available for the purpose of urban situational awareness. In addition we have applied change detection techniques to Radarsat fine beam imagery with a resolution of 10 meters to find infrastructural changes and to assess damages in order to...
The height and location of the three dimensional (3D) objects can be retrieved from polarimetric SAR images in multidirectional flights, and the 3D stereo objects can then be reconstructed. Polarimetric SAR image describes the objects via polarization synthesis, and presents much richer information than mono-polarized SAR image. Furthermore, multi-aspect flights of polarimetric SAR can see the 3D...
This study focuses on mapping and analyzing the daytime and night-time surface urban heat islands (UHIs) of the Athens metropolitan area, in Greece. For the needs of the study, two satellite thermal images of the city of Athens were acquired; a night-time image from the advanced spaceborne thermal emission and reflection radiometer (ASTER) sensor onboard Terra and a daytime image from the thematic...
The automatic classification of urban biotopes from remote sensing (RS) data is not a task for a pixel-based classifier. All pixels of a biotope have to be taken into account during the classification of a biotope. Therefore, fuzzy logic models of biotope types are built with regard to the composition of the biotopes of different surface materials and their arrangement in the biotopes. The models...
Satellite-derived thermal information over urban areas offers and attractive and inexpensive method which have been utilized in diverse studies including land cover classification, energy flux interactions, and as input for models of urban surface atmosphere exchange. In this study, multitemporal Landsat TM imagery are analyzed for the dependence of energy fluxes on the urban surface properties in...
The problem of biocomplexity in global Nature/Society System (NSS) is considered in the framework of complex hierarchical systems theory. The interactions between the NSS elements having different spatial and temporal scales are modelled in the terms of information value, diversity of elements, dynamical stability of biogeochemical cycles, and relations between the spaces of elements. Simulation-methodical...
In this paper, the traverses survey was conducted to explore both the severity of urban heat island effect and cooling impacts of green areas at macro-level in Tainan Metropolis Region. Urban temperature distribution was mapped relying on data derived from the mobile survey. On the other hand, the sense of FORMOSAT-2 satellite in study area was employed to calculate the greening index, Normalize Different...
Nowadays, the emergence of very high resolution satellite (VHRS) images imposes to reconsider the methods used to describe surfaces and objects in remote sensing images. The precision provided by new sensors allow the capability to discriminate small entities and non-observable objects until now particularly in urban areas. In this context, we show that mathematical morphology can enhance methodologies...
Road junctions are important components of a road network. However, they are usually not explicitly modeled in existing road extraction approaches. In this research, we model road junctions in detail as area objects and propose a methodology for their automatic extraction through the use of existing geospatial data. Prior knowledge derived from the geospatial data is used to facilitate the extraction...
With the availability of very high resolution (VHR) satellite images fast and relatively cheap investigations of large urban areas in comparison to aerial photography are possible. In urban areas a predominant use of satellite data is the generation of city models for applications like mobile phone signal propagation or flooding and catastrophe simulation. Since more and more large and quick growing...
A procedure for the calculation of a "built-up presence index" is presented. The index is based on fuzzy rule-based composition of anisotropic textural measures derived from the satellite data by the gray-level co-occurrence matrix (GLCM). The case study includes multi-temporal analysis, wide area coverage (65times135 kilometers) with multiple datasets, scattered settlements, and presence...
In this paper we analyse a series of pre-and post-event images for the 2004 Tsunami in south-western Sri Lanka coast. The analysis is aimed at locating and extracting buildings in high-resolution optical satellite images acquired before and after the event, in order to compare results and find which buildings have collapsed or otherwise been seriously damaged. The detection and extraction of buildings...
Several Earth observation satellites acquire images with different spatial resolutions, e.g., a panchromatic band with high resolution, and spectral bands with lower resolution. Likewise, we often face the problem of the presence of different resolutions when performing joint analyses of images acquired by different satellites. This paper presents a methods for unsupervised change detection of multiresolution...
This research aims to measure and to model the urban expansion of Greater Muscat using the combined techniques of geographical information systems (GIS) and satellite remote sensing (RS). Basing on detailed datasets and knowledge of historical land use maps, attempts were made to simulate future growth patterns of the city. A significantly detailed dataset of land use for Greater Muscat, derived from...
The two dimensional (2D) satellite image on-line mapping by Google Maps has been a great success in bringing remote sensing into the daily life of general public. The development of online mapping technologies is intensely towards 3D mapping of urban areas or structures of interest. The mainstream technology used for 3D mapping is draping images on 3D models. However, this technology is time consuming...
A new processing chain that allows monitoring ground deformations, both at small scales and large scales, is discussed. Core of the chain is the spatial differencing (SD) algorithm that allows very quick estimation of the small scale (low resolution) mean deformations velocity and residual topography by means of the use of spatial differences between adjacent and non-adjacent pixels. Small scale deformation...
The paper discusses the potential of a DInSAR (Differential Synthetic Aperture Radar Interferometry) technique for the study of subsidence phenomena over large areas. The validation tests of low resolution DInSAR data, spanning the period 1992-2001, were carried out at a "municipal scale" in the urban area of Sarno (Italy), affected by ground surface settlements ascribed to groundwater withdrawals...
The Frascati territory and the contiguous Tor Vergata Campus, a large area in the outskirts of Rome, Italy, form an interesting land cover study site, given their heterogeneity and dynamics. Cereals and vegetables fields are encountered together with extended vineyards and olive groves, mixed with woodland, recent and historic residential areas, isolated buildings of various dimensions and ages, industrial...
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