Christiane Weber | Université de Strasbourg (original) (raw)

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Mountain and Volcanic Surface-Processes papers by Christiane Weber

Research paper thumbnail of Towards a rapid automatic detection of building damage using remote sensing for disaster managment - The 2010 Haiti Earthquake

Papers by Christiane Weber

Research paper thumbnail of Comment évaluer l’environnement alimentaire à l’aide des systèmes d’information géographique ? Revue méthodologique

Research paper thumbnail of Investigating disparities in spatial accessibility to and characteristics of sport facilities: Direction, strength, and spatial scale of associations with area income

Research paper thumbnail of Exploring trade-offs between air pollutants through an Integrated Assessment Model

The Science of the total environment, Jan 15, 2014

When designing air pollution reduction policies, regional decision makers face a limited budget t... more When designing air pollution reduction policies, regional decision makers face a limited budget to choose the most efficient measures which will have impacts on several pollutants in different ways. RIAT+ is a regional integrated assessment tool that supports the policy maker in this selection of the optimal emission reduction technologies, to improve air quality at minimum costs. In this paper, this tool is formalized and applied to the specific case of a French region (Alsace), to illustrate how focusing on one single pollutant may exacerbate problems related to other pollutants, on top of conflicts related to budget allocation. In our case, results are shown for possible trade-offs between NO2 and O3 control policies. The paper suggests an approach to prioritize policy maker objectives when planning air pollution policies at regional scale.

Research paper thumbnail of Traffic-related air pollution and the onset of myocardial infarction: disclosing benzene as a trigger? A small-area case-crossover study

PloS one, 2014

Exposure to traffic is an established risk factor for the triggering of myocardial infarction (MI... more Exposure to traffic is an established risk factor for the triggering of myocardial infarction (MI). Particulate matter, mainly emitted by diesel vehicles, appears to be the most important stressor. However, the possible influence of benzene from gasoline-fueled cars has not been explored so far. We conducted a case-crossover study from 2,134 MI cases recorded by the local Coronary Heart Disease Registry (2000-2007) in the Strasbourg Metropolitan Area (France). Available individual data were age, gender, previous history of ischemic heart disease and address of residence at the time of the event. Nitrogen dioxide, particles of median aerodynamic diameter <10 µm (PM10), ozone, carbon monoxide and benzene air concentrations were modeled on an hourly basis at the census block level over the study period using the deterministic ADMS-Urban air dispersion model. Model input data were emissions inventories, background pollution measurements, and meteorological data. We have found a posit...

Research paper thumbnail of Changes in Sedentary Behaviours and Associations with Physical Activity through Retirement: A 6-Year Longitudinal Study

Research paper thumbnail of PAISARC (+) Project: Atmospheric Pollution, Social Inequalities, Asthma and Cardiac Risk: Influence of Neighbourhood Context

Epidemiology, 2009

ABSTRACT

Research paper thumbnail of Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)

Research paper thumbnail of The utility of texture analysis to improve per‐pixel classification for high to very high spatial resolution imagery

International Journal of Remote Sensing, 2005

Earth observation data are becoming available at increasingly finer resolutions. Sensors already ... more Earth observation data are becoming available at increasingly finer resolutions. Sensors already in existence (IKONOS, Quickbird, SPOT 5, Orbview) or due to be launched in the near future will reach 1-5 m resolution. These very high resolution (VHR) data will provide more ...

Research paper thumbnail of Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model

International Journal of Health Geographics, 2011

Research paper thumbnail of Urban Road Extraction from High-Resolution Optical Satellite Images

International Conference on Image Analysis and Recognition, 2010

Road extraction research has always been an active research on automatic identification of remote... more Road extraction research has always been an active research on automatic identification of remote sensing images. With the availability of high spatial resolution images from new generation commercial sensors, how to extract roads quickly, accurately and automatically has been a cutting-edge problem in remote sensing related fields. In this paper, we present a novel road extraction approach which uses a

Research paper thumbnail of Towards a rapid automatic detection of building damage using remote sensing for disaster management: The 2010 Haiti earthquake

Disaster Prevention and Management, 2014

ABSTRACT Purpose ‐ Satellite and airborne images are increasingly used at different stages of dis... more ABSTRACT Purpose ‐ Satellite and airborne images are increasingly used at different stages of disaster management, especially in the detection of infrastructure damage. Although semi- or full automatic techniques to detect damage have been proposed, they have not been used in emergency situations. Damage maps produced by international organisations are still based on visual interpretation of images, which is time- and labour-consuming. The purpose of this paper is to investigate how an automatic mapping of damage can be helpful for a first and rapid assessment of building damage. Design/methodology/approach ‐ The study area is located in Port-au-Prince (Haiti) stricken by an earthquake in January 2010. To detect building damage, the paper uses optical images (15?cm of spatial resolution) coupled with height data (LiDAR, 1?m of spatial resolution). By undertaking an automatic object-oriented classification, the paper identifies three categories of building damages: intact buildings, collapsed buildings and debris. Findings ‐ Data processing for the study area covering 11?km2 took about 15 hours. The accuracy of the classification varies from 70 to 79 per cent depending to the methods of assessment. Causes of errors are numerous: limited spectral information of the optical images, resolution difference between the two data, high density of buildings but most importantly, certain types of building collapses could not be detected by vertically taken images (the case of data in this study). Originality/value ‐ The automatic damage mapping developed in this paper proves to be reliable and could be used in emergency situations. It could also be combined with manual visual interpretation to accelerate the planning of humanitarian rescues and reconstruction.

Research paper thumbnail of Measuring the food environment using geographical information systems: a methodological review

Through a literature review, we investigated the geographic information systems (GIS) methods use... more Through a literature review, we investigated the geographic information systems (GIS) methods used to define the food environment and the types of spatial measurements they generate. Review study. Searches were conducted in health science databases, including Medline/Pubmed, PsycINFO, Francis and GeoBase. We included studies using GIS-based measures of the food environment published up to 1 June 2008. Twenty-nine papers were included. Two different spatial approaches were identified. The density approach quantifies the availability of food outlets using the buffer method, kernel density estimation or spatial clustering. The proximity approach assesses the distance to food outlets by measuring distances or travel times. GIS network analysis tools enable the modelling of travel time between referent addresses (home) and food outlets for a given transportation network and mode, and the assumption of travel routing behaviours. Numerous studies combined both approaches to compare food outlet spatial accessibility between different types of neighbourhoods or to investigate relationships between characteristics of the food environment and individual food behaviour. GIS methods provide new approaches for assessing the food environment by modelling spatial accessibility to food outlets. On the basis of the available literature, it appears that only some GIS methods have been used, while other GIS methods combining availability and proximity, such as spatial interaction models, have not yet been applied to this field. Future research would also benefit from a combination of GIS methods with survey approaches to describe both spatial and social food outlet accessibility as important determinants of individual food behaviours.

Research paper thumbnail of Towards a rapid automatic detection of building damage using remote sensing for disaster managment - The 2010 Haiti Earthquake

Research paper thumbnail of Comment évaluer l’environnement alimentaire à l’aide des systèmes d’information géographique ? Revue méthodologique

Research paper thumbnail of Investigating disparities in spatial accessibility to and characteristics of sport facilities: Direction, strength, and spatial scale of associations with area income

Research paper thumbnail of Exploring trade-offs between air pollutants through an Integrated Assessment Model

The Science of the total environment, Jan 15, 2014

When designing air pollution reduction policies, regional decision makers face a limited budget t... more When designing air pollution reduction policies, regional decision makers face a limited budget to choose the most efficient measures which will have impacts on several pollutants in different ways. RIAT+ is a regional integrated assessment tool that supports the policy maker in this selection of the optimal emission reduction technologies, to improve air quality at minimum costs. In this paper, this tool is formalized and applied to the specific case of a French region (Alsace), to illustrate how focusing on one single pollutant may exacerbate problems related to other pollutants, on top of conflicts related to budget allocation. In our case, results are shown for possible trade-offs between NO2 and O3 control policies. The paper suggests an approach to prioritize policy maker objectives when planning air pollution policies at regional scale.

Research paper thumbnail of Traffic-related air pollution and the onset of myocardial infarction: disclosing benzene as a trigger? A small-area case-crossover study

PloS one, 2014

Exposure to traffic is an established risk factor for the triggering of myocardial infarction (MI... more Exposure to traffic is an established risk factor for the triggering of myocardial infarction (MI). Particulate matter, mainly emitted by diesel vehicles, appears to be the most important stressor. However, the possible influence of benzene from gasoline-fueled cars has not been explored so far. We conducted a case-crossover study from 2,134 MI cases recorded by the local Coronary Heart Disease Registry (2000-2007) in the Strasbourg Metropolitan Area (France). Available individual data were age, gender, previous history of ischemic heart disease and address of residence at the time of the event. Nitrogen dioxide, particles of median aerodynamic diameter <10 µm (PM10), ozone, carbon monoxide and benzene air concentrations were modeled on an hourly basis at the census block level over the study period using the deterministic ADMS-Urban air dispersion model. Model input data were emissions inventories, background pollution measurements, and meteorological data. We have found a posit...

Research paper thumbnail of Changes in Sedentary Behaviours and Associations with Physical Activity through Retirement: A 6-Year Longitudinal Study

Research paper thumbnail of PAISARC (+) Project: Atmospheric Pollution, Social Inequalities, Asthma and Cardiac Risk: Influence of Neighbourhood Context

Epidemiology, 2009

ABSTRACT

Research paper thumbnail of Associations of Supermarket Characteristics with Weight Status and Body Fat: A Multilevel Analysis of Individuals within Supermarkets (RECORD Study)

Research paper thumbnail of The utility of texture analysis to improve per‐pixel classification for high to very high spatial resolution imagery

International Journal of Remote Sensing, 2005

Earth observation data are becoming available at increasingly finer resolutions. Sensors already ... more Earth observation data are becoming available at increasingly finer resolutions. Sensors already in existence (IKONOS, Quickbird, SPOT 5, Orbview) or due to be launched in the near future will reach 1-5 m resolution. These very high resolution (VHR) data will provide more ...

Research paper thumbnail of Estimating spatial accessibility to facilities on the regional scale: an extended commuting-based interaction potential model

International Journal of Health Geographics, 2011

Research paper thumbnail of Urban Road Extraction from High-Resolution Optical Satellite Images

International Conference on Image Analysis and Recognition, 2010

Road extraction research has always been an active research on automatic identification of remote... more Road extraction research has always been an active research on automatic identification of remote sensing images. With the availability of high spatial resolution images from new generation commercial sensors, how to extract roads quickly, accurately and automatically has been a cutting-edge problem in remote sensing related fields. In this paper, we present a novel road extraction approach which uses a

Research paper thumbnail of Towards a rapid automatic detection of building damage using remote sensing for disaster management: The 2010 Haiti earthquake

Disaster Prevention and Management, 2014

ABSTRACT Purpose ‐ Satellite and airborne images are increasingly used at different stages of dis... more ABSTRACT Purpose ‐ Satellite and airborne images are increasingly used at different stages of disaster management, especially in the detection of infrastructure damage. Although semi- or full automatic techniques to detect damage have been proposed, they have not been used in emergency situations. Damage maps produced by international organisations are still based on visual interpretation of images, which is time- and labour-consuming. The purpose of this paper is to investigate how an automatic mapping of damage can be helpful for a first and rapid assessment of building damage. Design/methodology/approach ‐ The study area is located in Port-au-Prince (Haiti) stricken by an earthquake in January 2010. To detect building damage, the paper uses optical images (15?cm of spatial resolution) coupled with height data (LiDAR, 1?m of spatial resolution). By undertaking an automatic object-oriented classification, the paper identifies three categories of building damages: intact buildings, collapsed buildings and debris. Findings ‐ Data processing for the study area covering 11?km2 took about 15 hours. The accuracy of the classification varies from 70 to 79 per cent depending to the methods of assessment. Causes of errors are numerous: limited spectral information of the optical images, resolution difference between the two data, high density of buildings but most importantly, certain types of building collapses could not be detected by vertically taken images (the case of data in this study). Originality/value ‐ The automatic damage mapping developed in this paper proves to be reliable and could be used in emergency situations. It could also be combined with manual visual interpretation to accelerate the planning of humanitarian rescues and reconstruction.

Research paper thumbnail of Measuring the food environment using geographical information systems: a methodological review

Through a literature review, we investigated the geographic information systems (GIS) methods use... more Through a literature review, we investigated the geographic information systems (GIS) methods used to define the food environment and the types of spatial measurements they generate. Review study. Searches were conducted in health science databases, including Medline/Pubmed, PsycINFO, Francis and GeoBase. We included studies using GIS-based measures of the food environment published up to 1 June 2008. Twenty-nine papers were included. Two different spatial approaches were identified. The density approach quantifies the availability of food outlets using the buffer method, kernel density estimation or spatial clustering. The proximity approach assesses the distance to food outlets by measuring distances or travel times. GIS network analysis tools enable the modelling of travel time between referent addresses (home) and food outlets for a given transportation network and mode, and the assumption of travel routing behaviours. Numerous studies combined both approaches to compare food outlet spatial accessibility between different types of neighbourhoods or to investigate relationships between characteristics of the food environment and individual food behaviour. GIS methods provide new approaches for assessing the food environment by modelling spatial accessibility to food outlets. On the basis of the available literature, it appears that only some GIS methods have been used, while other GIS methods combining availability and proximity, such as spatial interaction models, have not yet been applied to this field. Future research would also benefit from a combination of GIS methods with survey approaches to describe both spatial and social food outlet accessibility as important determinants of individual food behaviours.