scholarly journals POTENTIAL OF MULTI-TEMPORAL OBLIQUE AIRBORNE IMAGERY FOR STRUCTURAL DAMAGE ASSESSMENT

Author(s):  
A. Vetrivel ◽  
D. Duarte ◽  
F. Nex ◽  
M. Gerke ◽  
N. Kerle ◽  
...  

Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with aprioristic assumptions of building shapes and textures that can lead to uncertainties and misdetections. However, oblique images have been already captured over many cities of the world, and the exploitation of pre- and post-event data as inputs to damage assessment is readily feasible in urban areas. In this paper, we investigate the potential of multi-temporal oblique imagery for detailed damage assessment focusing on two methodologies: the first method aims at detecting severe structural damages related to geometrical deformation by combining the complementary information provided by photogrammetric point clouds and oblique images. The developed method detected 87% of damaged elements. The failed detections are due to varying noise levels within the point cloud which hindered the recognition of some structural elements. We observed, in general that the façade regions are very noisy in point clouds. To address this, we propose our second method which aims to detect damages to building façades using the oriented oblique images. The results show that the proposed methodology can effectively differentiate among the three proposed categories: collapsed/highly damaged, lower levels of damage and undamaged buildings, using a computationally light-weight approach. We describe the implementations of the above mentioned methods in detail and present the promising results achieved using multi-temporal oblique imagery over the city of L’Aquila (Italy).

Author(s):  
A. Vetrivel ◽  
D. Duarte ◽  
F. Nex ◽  
M. Gerke ◽  
N. Kerle ◽  
...  

Quick post-disaster actions demand automated, rapid and detailed building damage assessment. Among the available technologies, post-event oblique airborne images have already shown their potential for this task. However, existing methods usually compensate the lack of pre-event information with aprioristic assumptions of building shapes and textures that can lead to uncertainties and misdetections. However, oblique images have been already captured over many cities of the world, and the exploitation of pre- and post-event data as inputs to damage assessment is readily feasible in urban areas. In this paper, we investigate the potential of multi-temporal oblique imagery for detailed damage assessment focusing on two methodologies: the first method aims at detecting severe structural damages related to geometrical deformation by combining the complementary information provided by photogrammetric point clouds and oblique images. The developed method detected 87% of damaged elements. The failed detections are due to varying noise levels within the point cloud which hindered the recognition of some structural elements. We observed, in general that the façade regions are very noisy in point clouds. To address this, we propose our second method which aims to detect damages to building façades using the oriented oblique images. The results show that the proposed methodology can effectively differentiate among the three proposed categories: collapsed/highly damaged, lower levels of damage and undamaged buildings, using a computationally light-weight approach. We describe the implementations of the above mentioned methods in detail and present the promising results achieved using multi-temporal oblique imagery over the city of L’Aquila (Italy).


Author(s):  
J. Schachtschneider ◽  
C. Brenner

Abstract. The development of automated and autonomous vehicles requires highly accurate long-term maps of the environment. Urban areas contain a large number of dynamic objects which change over time. Since a permanent observation of the environment is impossible and there will always be a first time visit of an unknown or changed area, a map of an urban environment needs to model such dynamics.In this work, we use LiDAR point clouds from a large long term measurement campaign to investigate temporal changes. The data set was recorded along a 20 km route in Hannover, Germany with a Mobile Mapping System over a period of one year in bi-weekly measurements. The data set covers a variety of different urban objects and areas, weather conditions and seasons. Based on this data set, we show how scene and seasonal effects influence the measurement likelihood, and that multi-temporal maps lead to the best positioning results.


2020 ◽  
Vol 171 ◽  
pp. 02008
Author(s):  
Krzysztof Pyszny ◽  
Mariusz Sojka ◽  
Rafał Wróżyński

Planning green infrastructure in the cities is a challenging task for planners and city managers. Developing multifunctional green space systems provide many benefits including: increasing water retention, mitigating urban heat island effect, microclimate regulation, reducing air, water and noise pollution and conservation biodiversity. The greenery in the city also have an impact on human health. The paper presents the possibilities of using LiDAR data mapping vegetation density in urban areas on the example of Gorzów Wielkopolski (Poland). Maps made as a result of processing the point clouds obtained from airborne laser scanning represents the most accurate, comprehensive and detailed assessment of Gorzów Wielkopolski vegetation cover to date and establishes the baseline for greenery governance and planning of green infrastructure in the city.


2018 ◽  
Vol 10 (2) ◽  
pp. 287 ◽  
Author(s):  
Pietro Milillo ◽  
Giorgia Giardina ◽  
Matthew DeJong ◽  
Daniele Perissin ◽  
Giovanni Milillo

Author(s):  
O. D'Hondt ◽  
S. Guillaso ◽  
O. Hellwich

In this paper, we introduce a method to detect and reconstruct building parts from tomographic Synthetic Aperture Radar (SAR) airborne data. Our approach extends recent works in two ways: first, the radiometric information is used to guide the extraction of geometric primitives. Second, building facades and roofs are extracted thanks to geometric classification rules. We demonstrate our method on a 3 image L-Band airborne dataset over the city of Dresden, Germany. Experiments show how our technique allows to use the complementarity between the radiometric image and the tomographic point cloud to extract buildings parts in challenging situations.


2015 ◽  
Author(s):  
Peppe J. V. D'Aranno ◽  
Maria Marsella ◽  
Silvia Scifoni ◽  
Marianna Scutti ◽  
Alberico Sonnessa ◽  
...  

2020 ◽  
Vol 36 (1) ◽  
pp. 250-270 ◽  
Author(s):  
Edgar Tapia-Hernández ◽  
J. Salvador García-Carrera

During the 19 September 2017 earthquake, steel buildings in the States of Morelos, Puebla, Mexico, and Mexico City were subjected to severe ground shaking. Despite in some cases, moderate damages in non-structural elements were developed; generally, null or minor structural damage was reported. The notable exceptions are (1) a three-stories building located at the southern area of Mexico City and (2) some schools near to the epicentral region in the State of Morelos. The behavior of these buildings is analyzed in detail. Conclusions are drawn on the demands imposed on steel structures considering the actual demands in order to underline the relevance of the normative design procedures.


2015 ◽  
Vol 15 (6) ◽  
pp. 1087-1101 ◽  
Author(s):  
J. Fernandez Galarreta ◽  
N. Kerle ◽  
M. Gerke

Abstract. Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs). 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA) of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodology that supports the often ambiguous classification of intermediate damage levels, aiming at producing comprehensive per-building damage scores. We identify completely damaged structures in the 3-D point cloud, and for all other cases provide the OBIA-based damage indicators to be used as auxiliary information by damage analysts. The results demonstrate the usability of the 3-D point-cloud data to identify major damage features. Also the UAV-derived and OBIA-processed oblique images are shown to be a suitable basis for the identification of detailed damage features on façades and roofs. Finally, we also demonstrate the possibility of aggregating the multi-perspective damage information at building level.


Author(s):  
Waldir Leonel ◽  
Mercedes Abid Mercante ◽  
José Sabino ◽  
Mauro Henrique Soares da Silva ◽  
Milton Augusto Pasquotto Mariano

O Município de Bonito, Mato Grosso do Sul, tem desenvolvido a atividade de turismo desde o início dos anos 1990, levando à necessidade de infraestrutura física e turística para atender às demandas do fluxo de turistas, bem como à população local. Essas ações influenciam na mudança da paisagem. O referencial teórico suscitou questionamentos sobre a atividade do turismo praticado no Município. Para abranger as diversas variáveis que interferem no destino turístico, esta investigação utilizará uma proposta metodológica fundamentada nos conceitos de Geossistema–Território–Paisagem (GTP). Com a aplicação deste modelo, os aspectos do geossistema, do território e da paisagem são elementos intrínsecos que envolvem a sociedade em sua ampla discussão, visto a necessidade de se compreender o processo social e ambiental na constituição desses elementos. Busca-se analisar de forma multitemporal a dinâmica da mudança da paisagem e suas influências na evolução do turismo em Bonito, Mato Grosso do Sul, o qual teve um rápido desenvolvimento, no estabelecimento de empreendimentos turísticos, nos últimos 30 anos, apresentando diferentes impactos antrópicos que possam comprometer a sua qualidade ambiental. Assim, buscou-se compreender a dinâmica de evolução, no meio rural e urbano do Município, por meio da identificação de aspectos relacionados às mudanças da paisagem. Foram analisados dados elaborados inicialmente em gabinete, na confecção de mapas-base, utilizando o SPRING 5.2.6 (Sistema de Processamento de Informações Georreferenciadas). Após esta etapa, foi realizado o trabalho de campo, com registros de notas e de fotografias. Os dados levantados foram agrupados e sistematizados por categorias que contêm informações que atendam aos objetivos do Modelo GTP. Dessa forma, os resultados contribuem para avaliar a trajetória do cenário local e realizar reflexões sobre as influências sofridas pela atividade econômica ali estudada, notadamente o turismo. Verificou-se nas imagens grande alteração no uso do solo, havendo decréscimo de vegetação em geral, corpo hídrico e solo exposto, aumento da vegetação de pastagens, área urbana, de atrativos turísticos e de lavouras temporárias. Os resultados demonstraram diferenças entre os anos de 1984 e 2014 na mudança da paisagem. As análises multitemporais contribuíram na compreensão da necessidade do planejamento em relação ao uso e ocupação de determinadas áreas, minimizando impactos decorrentes das ações antrópicas. Relationship between tourism and landscape dynamics in Bonito (MS, Brazil) in view of the GTP model (Geosystem-Territory-Landscape) ABSTRACT The city of Bonito, Mato Grosso do Sul, has developed the tourism activity since the early 1990s, influencing the need for physical infrastructure and tourism to meet the demands of the flow of tourists and the local population. These actions influence the changing landscape. The theoretical framework has raised questions about the tourism activity practiced in the city. To cover the different variables that affect the tourist destination, this research uses a methodology based on the concepts of Geosystem-Territory-Landscape (GTP). With the application of this model, aspects of geosystem, territory and landscape are intrinsic elements involving society in their broad discussion, as the need to understand the social and environmental process in the formation of these elements. Seeks to analyze multi-temporal shape the landscape changing dynamics and their influence on the evolution of tourism in Bonito, Mato Grosso do Sul, which had a rapid development in the establishment of tourism enterprises in the last 30 years, with different human impacts, that might compromise their environmental quality. Like this, we sought to understand the dynamics of development in rural and urban areas of the municipality, through the identification of aspects related to landscape changes. Data were analyzed initially developed in office, in the preparation of base maps using the 5.2.6 SPRING (Georeferenced Information Processing System). After this step was carried out fieldwork, with records of notes and photographs. The collected data were grouped and systematized by category containing information that meets the objectives of the GTP Model. In this way, the results contribute to evaluate the trajectory of the local scene and conduct reflections on the influences suffered by economic activity there studied, notably: tourism. It was the major change images in land use, with decrease of vegetation in general, water body and exposed soil, increasing vegetation pastures, urban, tourist attractions and temporary crops. The results showed differences between the years 1984 and 2014 in changing the landscape. The multi-temporal analysis contributed to the understanding of the need for planning in relation to the use and occupation of certain areas, minimizing impacts of anthropic actions. KEYWORDS: Society; Environment; GTP, Tourism.


2014 ◽  
Vol 2 (9) ◽  
pp. 5603-5645 ◽  
Author(s):  
J. Fernandez Galarreta ◽  
N. Kerle ◽  
M. Gerke

Abstract. Structural damage assessment is critical after disasters but remains a challenge. Many studies have explored the potential of remote sensing data, but limitations of vertical data persist. Oblique imagery has been identified as more useful, though the multi-angle imagery also adds a new dimension of complexity. This paper addresses damage assessment based on multi-perspective, overlapping, very high resolution oblique images obtained with unmanned aerial vehicles (UAVs). 3-D point-cloud assessment for the entire building is combined with detailed object-based image analysis (OBIA) of façades and roofs. This research focuses not on automatic damage assessment, but on creating a methodology that supports the often ambiguous classification of intermediate damage levels, aiming at producing comprehensive per-building damage scores. We identify completely damaged structures in the 3-D point cloud, and for all other cases provide the OBIA-based damage indicators to be used as auxiliary information by damage analysts. The results demonstrate the usability of the 3-D point-cloud data to identify major damage features. Also the UAV-derived and OBIA-processed oblique images are shown to be a suitable basis for the identification of detailed damage features on façades and roofs. Finally, we also demonstrate the possibility of aggregating the multi-perspective damage information at building level.


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