Articles dans des revues avec comité de lecture (74)
  1. 31. Georganos, S., Grippa, T., Vanhuysse, S., Lennert, M., Shimoni, M., Kalogirou, S., & Wolff, E. (2017). Less is more: Optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application. GIScience and remote sensing. doi:10.1080/15481603.2017.1408892
  2. 32. Beaumont, B., Grippa, T., Lennert, M., Vanhuysse, S., Stephenne, N., & Wolff, E. (2017). Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data. Journal of Applied Remote Sensing, 11(3). doi:10.1117/1.JRS.11.036011
  3. 33. Madonsela, S., Cho, M. A., Mathieu, R., Mutanga, O., Ramoelo, A., Kaszta, Z., Van De Kerchove, R., & Wolff, E. (2017). Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species. International journal of applied earth observation and geoinformation, 58, 65-73. doi:10.1016/j.jag.2017.01.018
  4. 34. Stephenne, N., Beaumont, B., Hallot, E., Lenartz, F., Lefebre, F., Lauwaet, D., Poelmans, L., & Wolff, E. (2017). EXPOSURE and VULNERABILITY GEOSPATIAL ANALYSIS USING EARTH OBSERVATION DATA in the CITY of LIEGE, BELGIUM. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(1W1), 149-156. doi:10.5194/isprs-annals-IV-1-W1-149-2017
  5. 35. Grippa, T., Lennert, M., Beaumont, B., Vanhuysse, S., Stephenne, N., & Wolff, E. (2017). An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification. Remote Sensing, 9(4). doi:10.3390/rs9040358
  6. 36. Kaszta, Z., Marino, J., & Wolff, E. (2017). Fine-scale spatial and seasonal rangeland use by cattle in a foot-and-mouth disease control zones. Agriculture, ecosystems & environment, 239, 161-172. doi:10.1016/j.agee.2017.01.009
  7. 37. Kaszta, Z., Van De Kerchove, R., Ramoelo, A., Cho, M. A., Madonsela, S., Mathieu, R., & Wolff, E. (2016). Seasonal separation of African savanna components using WorldView-2 imagery: A comparison of pixeland object-based approaches and selected classification algorithms. Remote Sensing, 8(9), 763. doi:10.3390/rs8090763
  8. 38. Michellier, C., Pigeon, P., Kervyn, F., & Wolff, E. (2016). Contextualizing vulnerability assessment: a support to geo-risk management in central Africa. Natural hazards, 82, 27-42. doi:10.1007/s11069-016-2295-z
  9. 39. Kaszta, Z., Marino, J., Ramoelo, A., & Wolff, E. (2016). Bulk feeder or selective grazer: African buffalo space use patterns based on fine-scale remotely sensed data on forage quality and quantity. Ecological modelling, 323, 115-122. doi:10.1016/j.ecolmodel.2015.12.006
  10. 40. Alain, N. N., Fils, M. I., Martin, M., Nsokimieno Eric, M. M., & Wolff, E. (2016). Contribution of Remote Sensing in the Estimation of the Populations Living in Areas with Risk of Gully Erosion in Kinshasa (DR Congo). Case of Selembao Township. American Journal of Geoscience, 6, 71-79.
  11. 41. Stephenne, N., Beaumont, B., Hallot, E., Wolff, E., Poelmans, L., & Baltus, C. (2016). Sustainable and Smart City Planning Using Spatial Data in Wallonia. The international archives of the photogrammetry, remote sensing and spatial information sciences, 3-10. doi:10.5194/isprs-annals-IV-4-W1-3-2016
  12. 42. Kaszta, Z., Van De Kerchove, R., Ramoelo, A., Cho, M. A., Madonsela, S., Mathieu, R., & Wolff, E. (2016). Seasonal Separation of African Savanna Components Using Worldview-2 Imagery: A Comparison of Pixel- and Object-Based Approaches and Selected Classification Algorithms. Remote Sensing, 8, 763.
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