Search Results - "Grippa, Taïs"
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UAV-Based Landfill Land Cover Mapping: Optimizing Data Acquisition and Open-Source Processing Protocols
Published in Drones (Basel) (01-05-2022)“…Earth observation technologies offer non-intrusive solutions for monitoring complex and risky sites, such as landfills. In particular, unmanned aerial vehicles…”
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Migratiebewegingen en dynamische processen in de Brusselse wijken
Published in Brussels studies (01-03-2016)“…This article is aimed at defining the role of migratory movements in the dynamics of the sociodemographic transformation of neighbourhoods in the…”
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Mouvements migratoires et dynamiques des quartiers à Bruxelles
Published in Brussels studies (01-03-2016)“…This article is aimed at defining the role of migratory movements in the dynamics of the sociodemographic transformation of neighbourhoods in the…”
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You're Surrounded! Measuring the Enclosure of Airports in Urban Areas
Published in The Professional geographer (02-01-2023)“…Airport location is a well-known planning issue that can have a significant impact on a city's accessibility, economy, noise pollution, and residents'…”
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Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application
Published in GIScience and remote sensing (04-03-2018)“…This study evaluates the impact of four feature selection (FS) algorithms in an object-based image analysis framework for very-high-resolution land use-land…”
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An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification
Published in Remote sensing (Basel, Switzerland) (01-04-2017)“…This study presents the development of a semi-automated processing chain for urban object-based land-cover and land-use classification. The processing chain is…”
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The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries
Published in Remote sensing (Basel, Switzerland) (01-03-2020)“…Urbanization in the global South has been accompanied by the proliferation of vast informal and marginalized urban areas that lack access to essential services…”
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Mapping Urban Land Use at Street Block Level Using OpenStreetMap, Remote Sensing Data, and Spatial Metrics
Published in ISPRS international journal of geo-information (01-07-2018)“…Up-to-date and reliable land-use information is essential for a variety of applications such as planning or monitoring of the urban environment. This research…”
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Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery
Published in Remote sensing (Basel, Switzerland) (01-03-2019)“…Land cover Classified maps obtained from deep learning methods such as Convolutional neural networks (CNNs) and fully convolutional networks (FCNs) usually…”
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Multiple-airport systems: The (re)development of older airports in view of noise pollution issues
Published in Transport policy (01-12-2021)“…This paper revisits multiple-airport systems from a noise pollution perspective. It aims to investigate the contradictions between the (re)development of an…”
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Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology
Published in Malaria journal (03-04-2023)“…Although malaria transmission has experienced an overall decline in sub-Saharan Africa, urban malaria is now considered an emerging health issue due to rapid…”
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A user-driven process for INSPIRE-compliant land use database: example from Wallonia, Belgium
Published in Annals of GIS (03-04-2021)“…Regional land use monitoring at high spatial, temporal, and thematic resolution is an important expectation of Walloon stakeholders. Over the last decade,…”
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Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es Salaam
Published in Geomatics, natural hazards and risk (31-12-2023)“…This study investigates the potential of freely available Sentinel-1 imagery coupled with Google Earth Engine (GEE) for mapping and monitoring flooding in Dar…”
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Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images
Published in Remote sensing (Basel, Switzerland) (01-09-2018)“…To classify Very-High-Resolution (VHR) imagery, Geographic Object Based Image Analysis (GEOBIA) is the most popular method used to produce high quality…”
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AI perceives like a local: predicting citizen deprivation perception using satellite imagery
Published in npj Urban Sustainability (29-03-2024)“…Deprived urban areas, commonly referred to as ‘slums,’ are the consequence of unprecedented urbanisation. Previous studies have highlighted the potential of…”
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Normalization in Unsupervised Segmentation Parameter Optimization: A Solution Based on Local Regression Trend Analysis
Published in Remote sensing (Basel, Switzerland) (01-02-2018)“…In object-based image analysis (OBIA), the appropriate parametrization of segmentation algorithms is crucial for obtaining satisfactory image classification…”
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Improving Urban Population Distribution Models with Very-High Resolution Satellite Information
Published in Data (Basel) (16-01-2019)“…Built-up layers derived from medium resolution (MR) satellite information have proven their contribution to dasymetric mapping, but suffer from important…”
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Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs
Published in Journal of urban health (01-08-2019)“…Area-level indicators of the determinants of health are vital to plan and monitor progress toward targets such as the Sustainable Development Goals (SDGs)…”
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Diversity of urban growth patterns in Sub-Saharan Africa in the 1960-2010 period
Published in African geographical review (02-01-2020)“…Since 1960, urbanization in Sub-Saharan Africa (SSA) has been rapid. While consistent demographic statistics now exist on urban population growth rates, these…”
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Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs)
Published in Social sciences (Basel) (01-05-2020)“…Ninety percent of the people added to the planet over the next 30 years will live in African and Asian cities, and a large portion of these populations will…”
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