Jos Van Orshoven
Orcid: 0000-0001-5756-7188
According to our database1,
Jos Van Orshoven
authored at least 27 papers
between 1999 and 2024.
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Bibliography
2024
Spatially targeted afforestation to minimize sediment loss from a catchment: An efficient hill climbing method considering spatial interaction.
Environ. Model. Softw., 2024
Monitoring Land Degradation Using Drone Photogrammetry for the Mugoboka (Eastern Bujumbura, Burundi) Case Study.
Proceedings of the IGARSS 2024, 2024
2023
Selecting sites for afforestation to minimize sediment loss from a river basin: Computational complexity of Single and Multiple Flow Direction Methods in raster databases.
Comput. Geosci., February, 2023
Accounting for Uncertainty and Disagreement in Multi-criteria Decision Making Using Triangular Fuzzy Numbers and Monte Carlo Simulation: A Case Study About Selecting Measures for Remediation of Agricultural Land After Radioactive Contamination.
Proceedings of the Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain, 2023
2022
Selecting cells in a raster database for maximal impact intervention in the presence of spatial interaction: Computational complexity of a Multiple vs. a Single Flow Direction Method.
CoRR, 2022
2021
A Workflow to Extract the Geometry and Type of Vegetated Landscape Elements from Airborne LiDAR Point Clouds.
Remote. Sens., 2021
2016
Environ. Model. Softw., 2016
Extracting cross sections and water levels of vegetated ditches from LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2016
The effect of imposing 'fractional abundance constraints' onto the multilayer perceptron for sub-pixel land cover classification.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS).
Eur. J. Oper. Res., 2015
2014
Student satisfaction and performance in relation to software-independent tutorials of GI S&T.
Rev. Int. Géomatique, 2014
Comparison of multicriteria decision making methods for selection of afforestation sites.
Rev. Int. Géomatique, 2014
Compactness and flow minimization requirements in reforestation initiatives: a heuristic solution method.
Ann. Oper. Res., 2014
A Procedure for Semi-automatic Segmentation in OBIA Based on the Maximization of a Comparison Index.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
2013
A methodology to assess the performance of spatial data infrastructures in the context of work processes.
Comput. Environ. Urban Syst., 2013
2012
Environ. Model. Softw., 2012
External geo-information in the segmentation of VHR imagery improves the detection of imperviousness in urban neighborhoods.
Int. J. Appl. Earth Obs. Geoinformation, 2012
Validating sub-pixel classifications: A comparison of approaches using an artificial dataset.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Upgrading Geographic Information Systems to Spatio-Temporal Decision Support Systems.
Math. Comput. For. Nat. Resour. Sci., 2011
Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA).
Environ. Model. Softw., 2011
Efficient collection of training data for sub-pixel land cover classification using neural networks.
Int. J. Appl. Earth Obs. Geoinformation, 2011
An hierarchical object based image analysis approach to extract impervious surfaces within the domestic garden.
Proceedings of the Joint Urban Remote Sensing Event, 2011
2010
Proceedings of the Computational Science and Its Applications, 2010
2009
Compactness and Flow Minimization Requirements in Reforestation Initiatives: An Integer Programming (IP) Formulation.
Proceedings of the Computational Science and Its Applications, 2009
2008
Sub-pixel classification of SPOT-VEGETATION time series for the assessment of regional crop areas in Belgium.
Int. J. Appl. Earth Obs. Geoinformation, 2008
Comparing Exact and Heuristic Methods for Site Location Based on Multiple Attributes: An Afforestation Application.
Proceedings of the Computational Science and Its Applications - ICCSA 2008, International Conference, Perugia, Italy, June 30, 2008
1999