Withdrawn Paper

Karwel, A. K.; Ewiak, I.

doi:10.5194/isprsarchives-xxxix-b7-51-2012

Cited by 19 publications

(18 citation statements)

References 1 publication

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“…The absolute horizontal accuracy of SRTM data is 20 m (circular error at 90 % confidence) and the absolute as well as relative vertical accuracy is less than 16 m (linear error at 90 % confidence) and 10 m, respectively (USGS, 2006;Kellndorfer et al, 2004). Previous studies on SRTM (Zielinski and Chimel, 2007;Karwel and Ewiak, 2008;Hanson et al, 2011;Roger et al, 2013;Løvholt et al, 2012;Taubenböck et al, 2008) report that these data sets perform better than their standard specification and hence can be used for a variety of applications, such as coastal vulnerability or inundation mapping. In our analysis, the aim of using DEM is to evaluate and separate the lowest area from other higher areas along the coasts for which the SRTM data proves sufficient with its specifications.…”

Section: Regional Elevationmentioning

confidence: 94%

Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

Murali

Ankita

Amrita

et al. 2013

Nat. Hazards Earth Syst. Sci.

165

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Abstract. As a consequence of change in global climate, an increased frequency of natural hazards such as storm surges, tsunamis and cyclones, is predicted to have dramatic affects on the coastal communities and ecosystems by virtue of the devastation they cause during and after their occurrence. The tsunami of December 2004 and the Thane cyclone of 2011 caused extensive human and economic losses along the coastline of Puducherry and Tamil Nadu. The devastation caused by these events highlighted the need for vulnerability assessment to ensure better understanding of the elements causing different hazards and to consequently minimize the after-effects of the future events. This paper demonstrates an analytical hierarchical process (AHP)-based approach to coastal vulnerability studies as an improvement to the existing methodologies for vulnerability assessment. The paper also encourages the inclusion of socio-economic parameters along with the physical parameters to calculate the coastal vulnerability index using AHP-derived weights. Seven physical-geological parameters (slope, geomorphology, elevation, shoreline change, sea level rise, significant wave height and tidal range) and four socio-economic factors (population, land use/land cover (LU/LC), roads and location of tourist areas) are considered to measure the physical vulnerability index (PVI) as well as the socio-economic vulnerability index (SVI) of the Puducherry coast. Based on the weights and scores derived using AHP, vulnerability maps are prepared to demarcate areas with very low, medium and high vulnerability. A combination of PVI and SVI values are further utilized to compute the coastal vulnerability index (CVI). Finally, the various coastal segments are grouped into the 3 vulnerability classes to obtain the coastal vulnerability map. The entire coastal extent between Muthiapet and Kirumampakkam as well as the northern part of Kalapet is designated as the high vulnerability zone, which constitutes 50 % of the coastline. The region between the southern coastal extent of Kalapet and Lawspet is the medium vulnerability zone and the remaining 25 % is the low vulnerability zone. The results obtained enable the identification and prioritization of the more vulnerable areas of the region in order to further assist the government and the residing coastal communities in better coastal management and conservation.

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Section: Regional Elevationmentioning

confidence: 94%

Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

Murali

Ankita

Amrita

et al. 2013

Nat. Hazards Earth Syst. Sci.

165

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“…Either data that allow generating terrain model are necessary, or ready models can be used. SRTM model is available for the entire Earth, which comes in a horizontal resolution of 3 arc seconds and has required vertical accuracy of about 16 meters [8].…”

Section: Research Objectivesmentioning

confidence: 99%

Proposal of data source and method for creating 3D models of buildings

Cichociński¹,

Jurczyszyn²,

Kochan³

2014

The 9th International Conference "Environmental Engineering 2014"

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The main objective of this research was to investigate how oblique imagery can be used to create simple models of buildings. Necessary data for this purpose may be acquired during field surveys, but not all details (in particular the roof) can be seen from the ground level. On the other hand, vertical aerial photos and high-resolution satellite images are not able to present the walls of buildings. Therefore, oblique photos might be a compromise. Such pictures show not only the shape but also the relationships between buildings and their surroundings. Oblique photos can be seen on Google Maps and Bing Maps. But none of them can be legitimately used for community projects like OpenStreetMap (OSM), aimed at creating editable and available without restriction map of the world. Instead, in case of hilly and mountainous areas, taking pictures from points high enough to allow good observation of the area of interest can also be considered sufficient source of such information instead of aerial oblique photos. On that basis the height of buildings, their colors and layout and color of roofs can be determined. The results of the research show, that it is possible to use oblique photographs to construct simplified models of buildings, which satisfy the requirements set by simple 3D buildings schema prepared by OSM developers.

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“…Mukul et al (2017) avaliaram a acurácia vertical do SRTM para a região peninsular e do Himalaia indiano, utilizando 220 pontos de verificação obtidos por GPS (Global Positioning System) de alta precisão. Outras validações regionais do SRTM também foram realizadas na India, Tailândia & Estados Unidos, Polônia, Grécia e no Brasil (Agrawal et al, 2006;Gorokhovich & Voustianiouk, 2006;Karwel & Ewiak, 2008;Mouratidis et al, 2010;Marini et al, 2017).…”

Section: Introductionunclassified

Vertical Accuracy Assessment of Digital Surface Models Using the Land Management System Data Base: A Case Study in the West of São Paulo State

et al. 2019

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ResumoModelos Digitais de Superfícies (MDS) são importantes fontes de dados digitais representativos do relevo terrestre. Para identificar a acurácia vertical de um MDS, é necessário realizar a sua validação para a área de interesse. Uma possível fonte de dados com altimetria, disponível para todo o território brasileiro, é a plataforma online e gratuita do SIGEF (Sistema de Gestão Fundiária). Entretanto, a confiabilidade desses dados para o processo de validação de MDS ainda não foi verificada. Esse estudo avalia se o banco de dados do SIGEF pode ser utilizado como dados de referência na validação da acurácia vertical de MDS. Para isso, comparou-se os resultados das validações altimétricas do MDS SRTM 3, com 30 metros (1 arcseg) de resolução espacial, obtidas com os bancos de dados da Fundação ITESP e do SIGEF. As análises estatísticas e os processamentos dos dados foram realizados em softwares livres (PAST 3.25 e QGIS 2.18). O controle de qualidade do MDS SRTM 3 foi baseado no Padrão de Exatidão Cartográfica dos Produtos Cartográficos Digitais (PEC-PCD). Após realizar um processo de filtragem nos dados do SIGEF, obteve-se a classificação B, escala 1:50.000 (PEC menor do que 10,00 m e EP menor do que 6,66 m), para o MDS SRTM 3. Resultados similares foram obtidos com o banco de dados da Fundação ITESP. Sem considerar a filtragem nos dados do SIGEF, obteve-se Classe B, escala 1:100.000. Concluiu-se que os dados altimétricos do SIGEF podem ser utilizados em validações da acurácia vertical de MDS após filtragem e remoção de outliers. AbstractDigital Surface Models (DSM) are important digital data sources representative of terrestrial relief. In order to identify the vertical accuracy of a DSM, it is necessary to carry out its validation for the area of interest . A possible data source with altimetry, available for all Brazilian territory, is the free online platform of SIGEF (Land Management System). However, the reliability of these data for a DSM validation was not yet verified. This study assesses if the SIGEF database can be used as reference data in the vertical accuracy evaluation of DSM. For this, the results of the altimetric validations of a DSM SRTM 3, with 30 meters (1 arcsecond) spatial resolution, conducted with the ITESP and the SIGEF database were compared. Statistical analysis and data processing were performed in free software (PAST 3.25 and QGIS 2.18). The quality control of the DSM SRTM 3 was based on the Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD). After filtering the SIGEF data, a rank B, scale 1: 50.000 (PEC less than 10,00 m and EP less than 6,66 m) was obtained for the DSM SRTM 3. Similar results were achieved with the ITESP Foundation database. Without considering filtering the SIGEF data, it was obtained a class B, scale 1: 100.000. It was concluded that the SIGEF altimetric database can be used to assess the vertical accuracy of a DSM after filtering and removal of outliers.

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Withdrawn Paper

Cited by 19 publications

References 1 publication

Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

Coastal vulnerability assessment of Puducherry coast, India, using the analytical hierarchical process

Proposal of data source and method for creating 3D models of buildings

Vertical Accuracy Assessment of Digital Surface Models Using the Land Management System Data Base: A Case Study in the West of São Paulo State

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