Dissemination

Peer-reviewed papers

 

2019

  • Degerickx, J., Roberts, D.A., Somers, B. (2019). Enhancing the performance of Multiple Endmember Spectral Mixture Analysis (MESMA) for urban land cover mapping using airborne lidar data and band selection. Remote Sensing of Environment, 221, 260-273.

  • Priem, F., Okujeni, A., van der Linden, S., Canters, F. (2019). Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery. International Journal of Applied Earth Observation and Geoinformation, 78, 295-305.

  • Smets, V. , Wirion, C., Bauwens, W., Hermy, M., Somers, B., Verbeiren, B. (2019). The importance of city trees for reducing net rainfall: comparing measurements and simulations. Hydrology and Earth System Sciences Discussions. DOI: 10.5194/hess-2018-417

2018

  • Degerickx, J., Roberts, D.A., McFadden, J.P., Hermy, M., Somers, M. (2018). Urban tree health assessment using airborne hyperspectral and LiDAR imagery. International Journal of Applied Earth Observation and Geoinformation, 73, 26-38.

  • Okujeni, A., Canters, F., Cooper, S.D., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Roberts, D.A., Somers, B., van der Linden, S. (2018). Generalizing machine learning regression models using multi-site spectral libraries for mapping vegetation-impervious-soil fractions across multiple cities. Remote Sensing of Environment, 216, 482-496.

  • van der Linden, S., Okujeni, A., Canters, F., Degerickx, J., Heiden, U., Hostert, P., Priem, F., Somers, B., Thiel, F. (2018). Imaging spectroscopy of urban environments. Surveys in Geophysics, 1-18.

  • Verdonck, M-L., Demuzere, M., Hooyberghs, H., Beck, C., Cyrys, J., Schneider, A., Dewulf, R., Van Coillie, F. (2018). The potential of local climate zones maps as a heat stress assessment tool, supported by simulated air temperature data. Landscape and Urban Planning, 178, 183-197.

  • Wetherley, E.B., McFadden, J.P., Roberts, D.A. (2018). Megacity-scale analysis of urban vegetation temperatures. Remote Sensing of Environment, 213, 18-33.

2017

  • Bechtel, B., Demuzere, M., Sismanidis, P., Fenner, D., Brousse, O., Beck, C., … Verdonck, M.-L. (2017). Quality of Crowdsourced Data on Urban Morphology – The Human Influence Experiment (HUMINEX). Urban Science, 1–21.

  • Degerickx, J., Okujeni, A., Iordache, M.D., Hermy, M., van der Linden, S., Somers, B. (2017). A novel spectral library pruning technique for spectral unmixing of urban land cover. Remote Sensing, 9(6), 565.

  • Okujeni, A., van der Linden, S., Suess, S. & Hostert, P. (2017). Ensemble learning from synthetically mixed training data for quantifying urban land cover with support vector regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(4), 1640-1650.

  • Roberts, D.A., Alonzo, M., Wetherley, E., Dudley, K., and Dennison, P. (2017). “Multiscale Analysis of Urban Areas Using Mixing Models.” In D.A. Quattrochi, E. Wentz, N.S. Lam & C. W.  Emerson (ed.) Integrating Scale in Remote Sensing and GIS, 247.

  • Small, C., Okujeni, A., van der Linden, S., Waske, B. (2017). Remote Sensing of Urban Environments. In Reference Module in Earth Systems and Environmental Sciences.

  • Verdonck, M.L., Okujeni, A., van der Linden, S., Demuzere, M., De Wulf, R., Van Coillie, F. (2017). Influence of neighbourhood information on ‘Local Climate Zone’ mapping in heterogeneous cities. Journal of Applied Earth Observation and Geoinformation, 62, 102-113.

  • Wetherley, E., Roberts, D., McFadden, J. (2017). Mapping spectrally similar urban materials at sub-pixel scales. Remote Sensing of Environment, 195, 170-183.

  • Wirion, C., Bauwens, W., Verbeiren, B. (2017). Location and time specific hydrological simulations with multi-resolution remote sensing data in urban areas. Remote Sensing, 9(7), 645.

2016

  • Priem, F. & Canters, F. (2016). Synergistic Use of LiDAR and APEX Hyperspectral Data for High Resolution Urban Land Cover Mapping. Remote Sensing, 8, 787.

  • Verbeiren B., Khanh N.H., Wirion C., & Batelaan O. (2016). An Earth observation based method to assess the influence of seasonal dynamics of canopy interception storage on the urban water balance. BELGEO online 2/2016.

2015

  • van der Linden, S., Rabe, A., Held, M., Jakimow, B., Leitão, P., Okujeni, A., Schwieder, M., Suess, S., Hostert, P. (2015) The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing. Remote Sensing, 7, 11249.

Find us on ResearchGate!

Conference contributions

 

Find us on ResearchGate!

​2017

  • Bechtel B., Demuzere M., Xu Y., Verdonck M.L., Lopes P., See L., Ren C., Van Coillie F., Tuia D., Fonte C.C., Cassone A., Kaloustian N., Conrad O., Tamminga M. and Mills G. (accepted). Beyond the urban mask: Local climate zones as a generic descriptor of urban areas – Potential and recent developments. IEEE Conference proceedings (abstract + oral presentation). JURSE 2017 Dubai.

  • Canters, F., Priem, F., Okujeni, A. & van der Linden, S. (2017). Machine learning based unmixing of urban land cover from Sentinel-2 using synthetically mixed training data (abstract + oral presentation). International Cartographic Conference 2017, ICA, Washington DC

  • Degerickx, J.; Hermy, M.; Somers, B. Mapping functional urban green types using hyperspectral remote sensing. IEEE Conference Proceeding. Joint Urban Remote Sensing Event (JURSE), Dubai, March 2017.

  • Degerickx, J, Hermy, M., Somers, B. Assessment of urban tree helalth using airborne remote sensing technology. Ecology Across Borders Conference, December 2017, Ghent, Belgium.

  • Hoffmann, J. Okujeni, A.; van der Linden, S. (2017). Assessing the potential of HyMap imaging spectroscopy data for urban tree classification. Abstract submitted to the 10th EARSeL SIG Imaging Spectroscopy Workshop, Zurich, Switzerland.

  • Okujeni, A.; van der Linden, S., Priem, F., Canters, F., Degerickx, J., Somers, B. (2017). Towards The Development Of Universal Support Vector Regression Models For Quantifying Land Cover Across Cities. Abstract submitted to the 10th EARSeL SIG Imaging Spectroscopy Workshop, Zurich, Switzerland.

  • Okujeni, A., van der Linden, S., Suess, S. & Hostert, P. (2017). Ensemble learning from synthetically mixed training data for quantifying urban land cover with support vector regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

  • Priem, F., Okujeni, A., Van der Linden, S. & Canters, F. (2017). Optimizing mixed spectra generation for regression-based unmixing of land cover in urban areas. IEEE Conference proceedings (abstract + oral presentation). JURSE 2017 Dubai.

  • Rabe, A.; Jakimow, B.; Held, M.; Okujeni, A.; Leitão, P.; Hostert, P.; van der Linden, S. (2017). EnMAP-Box 3.0 - concept for a QGIS-Python toolbox for imaging spectroscopy data processing. Abstract submitted to the 10th EARSeL SIG Imaging Spectroscopy Workshop, Zurich, Switzerland.

  • Verdonck M.L., Okujeni A., van der Linden S., Demuzere M., Hooyberghs H., De Wulf R., Van Coillie F. (2017). Thermal evaluation of the Local Climate Zone scheme in Belgium. IEEE conference proceedings (abstract + oral presentation). JURSE 2017 Dubai.

  • Wirion Ch., Bauwens W. & Verbeiren B. (2017). High resolution modeling of the urban hydrological response. IEEE Conference proceedings (abstract + oral presentation). JURSE 2017 Dubai.

  • Wirion, C., Bauwens, W., Verbeiren, B. (2017). Water balance simulation of the urban surface supported by remote sensing. Proceedings YWP , 5-7/07/2017, Ghent (Belgium).

  • Wirion, C., Bauwens, W., Verbeiren, B. (2017). Simulating the urban surface water balance based on detailed hyperspectral and frequent multispectral remote sensing data. Proceedings Multitemp conference, 27-29/06/2017, Bruges (Belgium).

2016

  • Degerickx, J., Iordache, M.D., Okujeni, A., Hermy, M., van der Linden S. and Somers, B. (2016). Spectral unmixing of urban land cover using a generic library approach. Proceeding SPIE Remote Sensing 2016 Edinburgh, vol. 10008.

  • Okujeni, A., van der Linden, S.,& Hostert, P. (2016). Elucidating potentials and challenges of Sentinel-2 and EnMAP for mapping urban areas. Poster at ESA Living Planet Symposium 1016, Prague, Czech Republic.

  • Priem, F., Okujeni, A., Van der Linden, S. & Canters, F. (2016). Use of multispectral satellite imagery and hyperspectral endmember libraries for urban land cover mapping at the metropolitan scale. Proceedings SPIE Remote Sensing 2016 Edinburgh, vol. 10008, 13p.

  • Verdonck M.L., Hooyberghs H., Van Coillie F. (2016). Developing a remote sensing based LCZ map to model air- and surface temperature in an urban environment. NSABS conference proceedings (abstract + oral presentation).

  • Verdonck M.L, Demuzere M., Hooyberghs H., De Wulf R., Van Coillie F. (2016). Evaluation of the thermal behaviour of different ‘local climate zones’ in Belgium. EGU conference proceedings (abstract + oral presentation).

  • Verdonck M.L. & Van Coillie F. (2016). Local Climate Zone Mapping: A Case Study In Belgium. GEOBIA conference Proceedings (abstract + poster presentation).

  • Wetherley, E., Roberts, D., McFadden, J. (2016), “Quantifying urban vegetation type fractions using signal unmixing with airborne spectroscopic imagery”, Poster at Annual Meeting of the American Geophysical Union, Urban Areas and Global Change session.

  • Wirion C., Salvadore E., Bauwens W., Verbeiren B., (2016). Simulating urban interception based on detailed in-situ monitoring and remote sensing data. Proceedings Novatech, 28/06-01/07/2016, Lyon (France).

  • Wirion C., Suliga J., Van Griensven A., Bauwens W., Verbeiren B. (2016). Monitoring of vegetation changes for hydrological modelling in urban and wetlands areas based on Proba-V derived LAI. Proceedings Proba-V symposium, 26-28 January 2016, Ghent (Belgium).

2015

  • Roberts, D.A., Wetherley, E., Dennison, P., Roth, K., Hulley, G. and Dudley, K. (2015), “Combined hyperspectral VSWIR and broadband thermal infrared analysis of vegetation-substrate mixtures in a mixed natural and anthropogenic landscape”, 20 minute professional talk presented at the 2015 Annual meeting of the Ecological Society of America, August 13, 2015, Baltimore Maryland.

  • Wetherley, E., Roberts, D., McFadden, J. (2015). “Using HyspIRI-like data for sub-pixel classification of the urban surface”, Poster at Annual Meeting of the American Geophysical Union, Research Results from the Multi-Season, Multi-Year Western U.S. NASA Remote Measurement Science Campaign session.

  • Wirion C., Nguyen Ho Khanh, Bauwens W. & Verbeiren B. (2015). Using remote sensing and field validation to assess the impact of seasonal variations of urban green on the urban water balance. Proceedings EJSW, 18th-22nd May 2015, Chichilianne (France), 8pp.

  • Wirion C., Nguyen Ho Khanh, Bauwens W. & Verbeiren B. (2015). Using remote sensing to describe surface properties for improved hydrological modeling. Proceedings UDM, 20th-23rd September 2015, Quebec (Canada), 9pp.

In the press

 

Bachelor and Master theses

 
  • Hoffmann, J. (supervision: Okujeni, A. & van der Linden, S.) (2016). Assessing the potential of
    imaging spectroscopy data for urban tree classification. Bachelor thesis HUB.

  • Smets, E. (supervision Canters F.) (2016). Mapping of urban areas through synergetic use of high resolution satellite imagery and LiDAR 3D data – a case study on Brussels. BA thesis dissertation VUB.

  • Thiel, F. (supervision: Okujeni, A. & van der Linden, S.) (2016). Classifying anthropogenic and natural urban surface types using imaging spectrometer and LiDAR data. Bachelor thesis dissertation HUB.

  • Ouellette, W. (supervisors: B. Somers & M. Hermy) (2015). Characterizing urban green and its functional properties using hyperspectral airborne sensors. M.Sc. thesis dissertation, KULeuven.

  • Vermeyen, W. (2015) (supervisors: F. Canters & B. Verbeiren). Hyperspectral analysis of surface materials for water balance estimation in urbanized areas: a case study on the Brussels Capital Region. M. Sc. thesis dissertation, VUB-KULeuven.

  • Helmi Rezazadeh Nahad (Supervision: Boud Verbeiren & Ann van Griensven), Evaluating the impact of Low Impact Development (LID) on rainfall-runoff process in urban catchments using high-resolution remote sensing and hydrological model, MSc Thesis IUPWARE 2014-2015, VUB-KULeuven.

Products

 

Coming soon ...

This project is funded by the Belgian Federal Science Policy (Belspo) within the RESEARCH PROGRAMME FOR EARTH OBSERVATION - “STEREO III”.

© 2015 UrbanEARS