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Featured researches published by Sven Vanderhaegen.


Water Resources Management | 2013

A System-based Paradigm of Drought Analysis for Operational Management

G. Tsakiris; Ioannis Nalbantis; Boud Verbeiren; Marijke Huysmans; Bernard Tychon; Ingrid Jacquemin; Frank Canters; Sven Vanderhaegen; Guy Engelen; Lien Poelmans; Piet De Becker; Okke Batelaan

Conventionally droughts are studied in terms of their dimensions (severity, duration and areal extent), without specifying the affected system. The paper presents an innovative system-based approach for drought analysis, which can lead to rational decisions for combating drought. Concepts of water scarcity (drought, water shortage, aridity and desertification) are viewed within the perspective of this new approach. The paper focuses also on operational water management in the presence of drought. Starting from the needs for such management, the affected system is defined and the related quantities are identified. Also, sub-systems are considered which allow the establishment of the link between specific variables and drought. Some drought characterisation methods are particularly suited for the systemic approach. Finally drought is considered as a natural hazard phenomenon and its consequences are discussed. Each physical sub-system can be improved by a variety of measures aiming at decreasing its vulnerability towards drought, so that the drought risk is mitigated. It is concluded that the clear definition of the affected system on the spatial and temporal scales can significantly contribute to the rational management for combating drought.


urban remote sensing joint event | 2017

Modelling soil sealing density in residential areas for flanders and the brussels capital region

Frank Canters; Sven Vanderhaegen

This paper presents a modelling approach for estimating the density of sealed surface cover within residential areas, using a set of explanatory variables describing the spatial context of each area, its morphological properties and its population density. The model is calibrated and applied on Flanders and the Brussels Capital Region using a 30m sealed surface cover fraction map for 2013, obtained through spectral unmixing of four Landsat 8-OLI scenes covering the study area. The work demonstrates that sealed surface cover distribution in residential areas can be explained by the density of different land uses in an areas surroundings, the distance to transport features (roads, road crossings, railway stations) and the positioning with respect to urban clusters of different size, in combination with spatial metrics describing the structure of the built-up area or, alternatively, the areas population density. Models of this kind might be used in combination with land use and population forecasts to obtain more reliable estimates of sealed surface cover density for future time steps.


Belgeo. Revue belge de géographie | 2016

Use of Earth observation for monitoring soil sealing trends in Flanders and Brussels between 1976 and 2013

Sven Vanderhaegen; Frank Canters

The on-going growth of urban area in Flanders and in the Brussels Capital Region over the past decades has resulted in a highly sprawled urban tissue, consisting of large and smaller urban agglomerations, connected by a well-developed transportation network. The conversion of open land to urban area is accompanied by an increase in soil sealing, affecting the hydrological cycle and the urban climate. Despite a growing interest in monitoring the process of soil sealing in urban areas, to date no detailed information on the presence and evolution of sealed surfaces is available for Flanders. In this paper a linear regression unmixing approach is proposed to map and monitor changes of sealed surface cover at the regional scale, using medium as well as high resolution remote sensing data. Applied to Flanders and the Brussels Capital Region, a total sealed area of 2687 km² for 2013 is found, corresponding to an increase of 82% since 1976. Residential areas account for nearly half of the sealed area and show the largest increase in sealed surface cover over the past 37 years.


Ocean & Coastal Management | 2014

Land-use simulation as a supporting tool for flood risk assessment and coastal safety planning: The case of the Belgian coast

Frank Canters; Sven Vanderhaegen; Ahmed Z. Khan; Guy Engelen; Inge Uljee


Landscape and Urban Planning | 2015

High resolution modelling and forecasting of soil sealing density at the regional scale

Sven Vanderhaegen; Koen De Munter; Frank Canters


Landscape and Urban Planning | 2017

Downdating high-resolution population density maps using sealed surface cover time series

Tomas Crols; Sven Vanderhaegen; Frank Canters; Guy Engelen; Lien Poelmans; Inge Uljee; Roger White


Landscape and Urban Planning | 2017

Mapping urban form and function at city block level using spatial metrics

Sven Vanderhaegen; Frank Canters


Archive | 2010

Using Remote Sensing Data for Improving the Distinction Between Distinct Types of Urban Land Use and Form Using Spatial Metrics

Sven Vanderhaegen; Frank Canters


Archive | 2013

Drought-related vulnerability and risk assessment of groundwater resources under temperate conditions

Boud Verbeiren; Marijke Huysmans; Bernard Tychon; Ingrid Jacquemin; Frank Canters; Sven Vanderhaegen; Guy Engelen; Lien Poelmans; Piet De Becker; G. Tsakiris; Okke Batelaan


Archive | 2014

Differentiating between influencing factors land use and climate to assess drought effects on groundwater recharge in a temperate context

Boud Verbeiren; Marijke Huysmans; Sven Vanderhaegen; Frank Canters; Klaartje Verbeeck; Guy Engelen; Ingrid Jacquemin; Bernard Tychon; G. Tsakiris; Okke Batelaan

Collaboration


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Frank Canters

Vrije Universiteit Brussel

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Guy Engelen

Flemish Institute for Technological Research

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Ahmed Z. Khan

Université libre de Bruxelles

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Boud Verbeiren

Vrije Universiteit Brussel

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Marijke Huysmans

Vrije Universiteit Brussel

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G. Tsakiris

National Technical University of Athens

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Lien Poelmans

Flemish Institute for Technological Research

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