Joris Van den Bossche
Joris Van den Bossche
Inria / Université Paris-Saclay Center for Data Science
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Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset
J Van den Bossche, J Peters, J Verwaeren, D Botteldooren, J Theunis, ...
Atmospheric Environment 105, 148-161, 2015
Cyclist exposure to UFP and BC on urban routes in Antwerp, Belgium
J Peters, J Van den Bossche, M Reggente, M Van Poppel, B De Baets, ...
Atmospheric Environment 92, 31-43, 2014
Opportunistic mobile air pollution monitoring: A case study with city wardens in Antwerp
J Van den Bossche, J Theunis, B Elen, J Peters, D Botteldooren, ...
Atmospheric environment 141, 408-421, 2016
The EveryAware SensorBox: a tool for community-based air quality monitoring
B Elen, J Theunis, S Ingarra, A Molino, J Van den Bossche, M Reggente, ...
Sensing a Changing World 156, 2012
Participatory patterns in an international air quality monitoring initiative
A Sîrbu, M Becker, S Caminiti, B De Baets, B Elen, L Francis, P Gravino, ...
PLOS one 10 (8), e0136763, 2015
Development and evaluation of land use regression models for black carbon based on bicycle and pedestrian measurements in the urban environment
J Van den Bossche, B De Baets, J Verwaeren, D Botteldooren, J Theunis
Environmental modelling & software 99, 58-69, 2018
Can decision rules simulate carbon allocation for years with contrasting and extreme weather conditions? A case study for three temperate beech forests
M Campioli, H Verbeeck, J Van den Bossche, J Wu, A Ibrom, E D’Andrea, ...
Ecological Modelling 263, 42-55, 2013
The RAMP framework: from reproducibility to transparency in the design and optimization of scientific workflows
B Kégl, A Boucaud, M Cherti, A Kazakci, A Gramfort, G Lemaitre, ...
Development of a land use regression model for black carbon using mobile monitoring data and its application to pollution-avoiding routing
A Van den Hove, J Verwaeren, J Van den Bossche, J Theunis, ...
Environmental research 183, 108619, 2020
Towards high spatial resolution air quality mapping: a methodology to assess street-level exposure based on mobile monitoring
J Van den Bossche
Ghent University, 2016
A spatio-temporal land use regression model to assess street-level exposure to black carbon
J Van den Bossche, B De Baets, D Botteldooren, J Theunis
Environmental Modelling & Software, 104837, 2020
Citizen science reveals the population exposure to air pollution
F Meysman, S De Craemer, W Lefebvre, J Vercauteren, V Sluydts, E Dons, ...
EarthArXiv, 2020
Automated detection of planetary craters: open and reproducible benchmark platform for the Martian surface
J Van den Bossche, A Boucaud, F Schmidt, G Lemaitre, A Lagain, ...
EPSC 2018, 2018
Exploiting crowdsourced observations: High-resolution mapping of real-time urban air quality throughout Europe
P Schneider, N Castell, I Vallejo, J van den Bossche, W Lahoz, ...
EGUGA, EPSC2016-2878, 2016
RAMP 10 Detecting Mars craters in satellite images
AB LAL, BK LAL, F Schmidt, J Van den Bossche
Modellering van BVOC emissies van een gemengd bosecosysteem
J Van den Bossche
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