Tim Van de Voorde
Tim Van de Voorde
Ghent University / Vrije Universiteit Brussel
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Mapping form and function in urban areas: An approach based on urban metrics and continuous impervious surface data
T Van de Voorde, W Jacquet, F Canters
Landscape and Urban Planning 102 (3), 143-155, 2011
Evaluation of the DisTrad thermal sharpening methodology for urban areas
W Essa, B Verbeiren, J van der Kwast, T Van de Voorde, O Batelaan
International Journal of Applied Earth Observation and Geoinformation 19 …, 2012
Improving distributed runoff prediction in urbanized catchments with remote sensing based estimates of impervious surface cover
J Chormanski, T Van de Voorde, T De Roeck, O Batelaan, F Canters
Sensors 8 (2), 910-932, 2008
Comparing different approaches for mapping urban vegetation cover from Landsat ETM+ data: a case study on Brussels
T Van de Voorde, J Vlaeminck, F Canters
Sensors 8 (6), 3880-3902, 2008
Fast automatic airport detection in remote sensing images using convolutional neural networks
F Chen, R Ren, T Van de Voorde, W Xu, G Zhou, Y Zhou
Remote Sensing 10 (3), 443, 2018
Assessing urbanisation effects on rainfall-runoff using a remote sensing supported modelling strategy
B Verbeiren, T Van de Voorde, F Canters, M Binard, Y Cornet, O Batelaan
International Journal of Applied Earth Observation and Geoinformation 21, 92-102, 2013
A comparison of two spectral mixture modelling approaches for impervious surface mapping in urban areas
T Van de Voorde, T De Roeck, F Canters
International Journal of Remote Sensing 30 (18), 4785-4806, 2009
Improving pixel-based VHR land-cover classifications of urban areas with post-classification techniques
T Van de Voorde, W De Genst, F Canters
Photogrammetric Engineering and Remote Sensing 73 (9), 1017, 2007
Open water detection in urban environments using high spatial resolution remote sensing imagery
F Chen, X Chen, T Van de Voorde, D Roberts, H Jiang, W Xu
Remote Sensing of Environment 242, 111706, 2020
Which environmental features contribute to positive and negative perceptions of urban parks? A cross-cultural comparison using online reviews and Natural Language Processing …
S Huai, T Van de Voorde
Landscape and Urban Planning 218, 104307, 2022
Coupled SSPs-RCPs scenarios to project the future dynamic variations of water-soil-carbon-biodiversity services in Central Asia
J Li, X Chen, A Kurban, T Van de Voorde, P De Maeyer, C Zhang
Ecological Indicators 129, 107936, 2021
Human and natural impacts on the water resources in the Syr Darya River Basin, Central Asia
S Zou, A Jilili, W Duan, PD Maeyer, TV de Voorde
Sustainability 11 (11), 3084, 2019
Multiple endmember unmixing of CHRIS/Proba imagery for mapping impervious surfaces in urban and suburban environments
L Demarchi, F Canters, JCW Chan, T Van de Voorde
IEEE Transactions on Geoscience and Remote Sensing 50 (9), 3409-3424, 2012
A global horizon scan of the future impacts of robotics and autonomous systems on urban ecosystems
MA Goddard, ZG Davies, S Guenat, MJ Ferguson, JC Fisher, A Akanni, ...
Nature ecology & evolution 5 (2), 219-230, 2021
Extraction of land use/land cover related information from very high resolution data in urban and suburban areas
T Van de Voorde, W De Genst, F Canters, N Stephenne, E Wolff, M Binard
Remote Sensing in Transition. Proceedings of the 23rd Symposium of the …, 2004
Spatially explicit urban green indicators for characterizing vegetation cover and public green space proximity: A case study on Brussels, Belgium
T Van de Voorde
International Journal of Digital Earth 10 (8), 798-813, 2017
Quantifying uncertainty in remote sensing-based urban land-use mapping
K Cockx, T Van de Voorde, F Canters
International Journal of Applied Earth Observation and Geoinformation 31 …, 2014
Impact of remotely sensed land-cover proportions on urban runoff prediction
T Berezowski, J Chormański, O Batelaan, F Canters, T Van de Voorde
International Journal of Applied Earth Observation and Geoinformation 16, 54-65, 2012
Mapping urban land cover from high spatial resolution hyperspectral data: An approach based on simultaneously unmixing similar pixels with jointly sparse spectral mixture analysis
F Chen, K Wang, T Van de Voorde, TF Tang
Remote Sensing of Environment 196, 324-342, 2017
A novel causal structure-based framework for comparing a basin-wide water-energy-food-ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins
H Shi, G Luo, H Zheng, C Chen, O Hellwich, J Bai, T Liu, S Liu, J Xue, ...
Hydrology and Earth System Sciences 25 (2), 901-925, 2021
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