Taïs Grippa
Taïs Grippa
PhD, Department of Geoscience Environment & Society, Université Libre de Bruxelles
Vahvistettu sähköpostiosoite verkkotunnuksessa ulb.ac.be - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Less is more: Optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application
S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, S Kalogirou, ...
GIScience & remote sensing 55 (2), 221-242, 2018
802018
Very high resolution object-based land use–land cover urban classification using extreme gradient boosting
S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, E Wolff
IEEE geoscience and remote sensing letters 15 (4), 607-611, 2018
782018
An open-source semi-automated processing chain for urban object-based classification
T Grippa, M Lennert, B Beaumont, S Vanhuysse, N Stephenne, E Wolff
Remote Sensing 9 (4), 358, 2017
522017
Mapping urban land use at street block level using openstreetmap, remote sensing data, and spatial metrics
T Grippa, S Georganos, S Zarougui, P Bognounou, E Diboulo, Y Forget, ...
ISPRS International Journal of Geo-Information 7 (7), 246, 2018
422018
Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling
S Georganos, T Grippa, A Niang Gadiaga, C Linard, M Lennert, ...
Geocarto International, 1-16, 2019
362019
Mouvements migratoires et dynamiques des quartiers à Bruxelles
G Van Hamme, T Grippa, M Van Criekingen
Brussels studies, 2016
28*2016
Fully convolutional networks and geographic object-based image analysis for the classification of VHR imagery
N Mboga, S Georganos, T Grippa, M Lennert, S Vanhuysse, E Wolff
Remote Sensing 11 (5), 597, 2019
272019
Scale matters: Spatially partitioned unsupervised segmentation parameter optimization for large and heterogeneous satellite images
S Georganos, T Grippa, M Lennert, S Vanhuysse, BA Johnson, E Wolff
Remote Sensing 10 (9), 1440, 2018
262018
Normalization in unsupervised segmentation parameter optimization: A solution based on local regression trend analysis
S Georganos, M Lennert, T Grippa, S Vanhuysse, B Johnson, E Wolff
Remote Sensing 10 (2), 222, 2018
162018
Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data
B Beaumont, T Grippa, M Lennert, SG Vanhuysse, NR Stephenne, E Wolff
Journal of Applied Remote Sensing 11 (3), 036011, 2017
152017
Improving urban population distribution models with very-high resolution satellite information
T Grippa, C Linard, M Lennert, S Georganos, N Mboga, S Vanhuysse, ...
Data 4 (1), 13, 2019
132019
A local segmentation parameter optimization approach for mapping heterogeneous urban environments using VHR imagery
T Grippa, S Georganos, M Lennert, S Vanhuysse, E Wolff
Remote Sensing Technologies and Applications in Urban Environments II 10431 …, 2017
132017
Extending data for urban health decision-making: a menu of new and potential neighborhood-level health determinants datasets in LMICs
DR Thomson, C Linard, S Vanhuysse, JE Steele, M Shimoni, J Siri, ...
Journal of urban health 96 (4), 514-536, 2019
112019
An open-source semi-automated processing chain for urban OBIA classification
T Grippa, M Lennert, B Beaumont, S Vanhuysse, N Stephenne, E Wolff
112016
Need for an integrated deprived area “slum” mapping system (IDEAMAPS) in low-and middle-income countries (LMICs)
DR Thomson, M Kuffer, G Boo, B Hati, T Grippa, H Elsey, C Linard, ...
Social Sciences 9 (5), 80, 2020
102020
SPUSPO: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for efficiently segmenting large heterogeneous areas
S Georganos, T Grippa, M Lennert, SG Vanhuysse, E Wolff
Proceedings of the 2017 Conference on Big Data from Space (BiDS’17 …, 2017
92017
Contribution of nDSM derived from VHR stereo imagery to urban land-cover mapping in Sub-Saharan Africa
S Vanhuysse, T Grippa, M Lennert, E Wolff, M Idrissa
2017 Joint Urban Remote Sensing Event (JURSE), 1-4, 2017
72017
Dakar very-high resolution land cover map
T Grippa, S Georganos
62018
Dynamiques des quartiers en difficulté dans les régions urbaines belges
T Grippa, G Van Hamme, P Marissal, X May, I Wertz, MLM Loopmans
62015
The role of earth observation in an integrated deprived area mapping “System” for low-to-middle income countries
M Kuffer, DR Thomson, G Boo, R Mahabir, T Grippa, S Vanhuysse, ...
Remote Sensing 12 (6), 982, 2020
52020
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Artikkelit 1–20