JunProf.Dr. Judith Verstegen

JunProf.Dr. Judith Verstegen

Heisenbergstraße 2
48149 Münster

Akademisches Profil

Externes Profil

  • Mitgliedschaften und Aktivitäten in Gremien

    Program Chair GIScience conference 2020
    Associate Editor Computers & Geosciences
    Associate Editor Environmental Modeling & Assessment

  • Projekte

    • Dist-KISS – Distance-Keeping: Influence of the StreetScape ( – )
      Gefördertes Einzelprojekt: VolkswagenStiftung - Corona Crisis and Beyond – Perspectives for Science, Scholarship and Society | Förderkennzeichen: 99 714
    • Future land-use-change induced subsidence in the Mekong delta (seit )
      Eigenmittelprojekt
    • LCS – Land Change Science Education ( – )
      Gefördertes Einzelprojekt: Universität Utrecht
    • FAPESP SPRINT 2016/50495-4 – Land use change impacts of increased bioenergy demand in Brazil ( – )
      Eigenmittelprojekt

  • Publikationen

    Auswahl

    • Verstegen J., van der Laan C., Dekker S., Faaij A., Santos M. . ‘Recent and projected impacts of land use and land cover changes on carbon stocks and biodiversity in East Kalimantan, Indonesia.’ Ecological Indicators 103: 563–575. doi: 10.1016/j.ecolind.2019.04.053.
    • Filomena, G., Verstegen J., Manley E. . ‘A computational approach to The Image of the City.’ Cities 89: 14–25. doi: 10.1016/j.cities.2019.01.006.
    • Verstegen J.A., Jonker J.G.G., Karssenberg D., van der Hilst F., Schmitz O., de Jong S.M., Faaij A.P.C. . ‘How a Pareto frontier complements scenario projections in land use change impact assessment.’ Environmental Modelling & Software 97: 287–302. doi: 10.1016/j.envsoft.2017.08.006.
    • Verstegen J., van der Hilst F., Woltjer G., Karssenberg D., de Jong S., Faaij A. . ‘What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model?’ GCB Bioenergy 8, Nr. 3: 561–578. doi: 10.1111/gcbb.12270.
    • Verstegen J., Karssenberg D., van der Hilst F., Faaij A. . ‘Detecting systemic change in a land use system by Bayesian data assimilation.’ Environmental Modelling and Software 75, Nr. null: 424–438. doi: 10.1016/j.envsoft.2015.02.013.
    • Verstegen J., Karssenberg D., van der Hilst F., Faaij A. . ‘Identifying a land use change cellular automaton by Bayesian data assimilation.’ Environmental Modelling and Software 53, Nr. null: 121–136. doi: 10.1016/j.envsoft.2013.11.009.
    • Verstegen J., Karssenberg D., Van der Hilst F., Faaij A. . ‘Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique.’ Computers, Environment and Urban Systems 36, Nr. 1: 30–42. doi: 10.1016/j.compenvurbsys.2011.08.003.

    Gesamtliste

    • Hildemann Moritz, Verstegen Judith A. . ‘Quantifying uncertainty in Pareto fronts arising from spatial data.’ Environmental Modelling and Software 141, Nr. 105069. doi: 10.1016/j.envsoft.2021.105069.
    • Filomena G., Verstegen J.A. . ‘Modelling the effect of landmarks on pedestrian dynamics in urban environments.’ Computers, Environment and Urban Systems 86: 101573. doi: 10.1016/j.compenvurbsys.2020.101573.
    • Filomena G., Manley E., Verstegen J.A. . ‘Perception of urban subdivisions in pedestrian movement simulation.’ PloS one 15, Nr. 12: e0244099. doi: 10.1371/journal.pone.0244099.
    • Verstegen J.A. . ‘Spatial Optimization - The local versus global food debate.’ Nature Food 1: 198–199. doi: 10.1038/s43016-020-0062-5.
    • Watson L., Straatsma M., Wanders N., Verstegen J.A., de Jong S., Karssenberg D. . ‘Global ecosystem service values in climate class transitions.’ Environmental Research Letters 15, Nr. 2. doi: 10.1088/1748-9326/ab5aab.
    • Janowicz K., Verstegen, J.A. (Eds.): . 11th International Conference on Geographic Information Science (GIScience 2021) - Part I. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.GIScience.2021.I.0.
    • Lechler S., Picoli M.C.A., Soares A.R., Sanchez A., Chaves M.E.D., Verstegen J.A. . ‘Exploring NASA's harmonized Landsat and Sentinel-2 (HLS) dataset to monitor deforestation in the Amazon rainforest.’ In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 705–7011. doi: 10.5194/isprs-archives-XLIII-B3-2020-705-2020.
    • Rorato A.C., Camara G., Escada M., Picoli M., Moreira T., Verstegen J.A. . ‘Brazilian Amazon indigenous peoples threatened by mining bill.’ Environmental Research Letters 15, Nr. 10. doi: 10.1088/1748-9326/abb428.
    • Stepanov O., Câmara G., Verstegen J.A. . ‘Quantifying the Effect of Land Use Change Model Coupling.’ Land 9, Nr. 52. doi: 10.3390/land9020052.
    • Shankar S., Roth M., Schubert L.A., Verstegen J.A. . ‘Automatic Mapping of Center Line of Railway Tracks using Global Navigation Satellite System, Inertial Measurement Unit and Laser Scanner.’ Remote Sensing 12, Nr. 3: 411. doi: 10.3390/rs12030411.
    • Verstegen J.A. . ‘A plea for statistical analyses of geosimulation model projections.’ Contributed to the Spatial Data Science symposium, Santa Barbara, USA.
    • Verstegen J., van der Laan C., Dekker S., Faaij A., Santos M. . ‘Recent and projected impacts of land use and land cover changes on carbon stocks and biodiversity in East Kalimantan, Indonesia.’ Ecological Indicators 103: 563–575. doi: 10.1016/j.ecolind.2019.04.053.
    • Filomena, G., Verstegen J., Manley E. . ‘A computational approach to The Image of the City.’ Cities 89: 14–25. doi: 10.1016/j.cities.2019.01.006.
    • Moncada J., Verstegen J., Posada J., Junginger M., Lukszo Z., Faaij A., Weijnen M. . ‘Exploring the emergence of a biojet fuel supply chain in Brazil: an agent‐based modeling approach.’ Global Change Biology Bioenergy 00: 1–18. doi: 10.1111/gcbb.12594.
    • Filomena G., Manley E., Verstegen J. A. . ‘Route Choice Through Regions by Pedestrian Agents.’ In 14th International Conference on Spatial Information Theory (COSIT 2019), edited by Timpf S., Schlieder C., Kattenbeck M., Ludwig B., Stewart K., 5:1 – 5:8. Wadern: Dagstuhl Publishing. doi: 10.4230/LIPIcs.COSIT.2019.5.
    • van der Hilst F., Verstegen J., Woltjer G., Smeets E., Faaij A. . ‘Mapping land use changes resulting from biofuel production and the effect of mitigation measures.’ Global Change Biology Bioenergy x. doi: 10.1111/gcbb.12534. [online first]
    • Filomena G., Verstegen J.A. . ‘Mental representation of space in Agent Based Models for pedestrian movement in urban environments: A conceptual model.’ Contributed to the The 21st AGILE Conference on Geographic Information Science, Lund, Sweden.
    • Moncada J., Verstegen J., Posada J., Junginger M., Lukszo Z., Faaij A., Weijnen M. . ‘Exploring policy options to spur the expansion of ethanol production and consumption in Brazil: An agent-based modeling approach.’ Energy Policy 123: 619–641. doi: 10.1016/j.enpol.2018.09.015.
    • van der Laan C., Budiman A., Verstegen J., Dekker S., Effendy W., Faaij A., Kusuma A., Verweij P. . ‘Analyses of Land Cover Change Trajectories Leading to Tropical Forest Loss: Illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia.’ Land 7, Nr. 3. doi: 10.3390/land7030108.
    • Watson L., Straatsma M., Wanders N., Verstegen J.A., de Jong S.M., Karssenberg D. „Spatial Evaluation of Global Climate Class Transitions and Ecosystem Service Values.“ contributed to the The 9th Ecosystem Services Partnership (ESP9) conference, Shenzhen, China, . [accepted / in Press (not yet published)]
    • Verstegen J.A., Jonker J.G.G., Karssenberg D., van der Hilst F., Schmitz O., de Jong S.M., Faaij A.P.C. . ‘How a Pareto frontier complements scenario projections in land use change impact assessment.’ Environmental Modelling & Software 97: 287–302. doi: 10.1016/j.envsoft.2017.08.006.
    • Duden A.S., Verweij P.A., Junginger M., Abt R.C., Henderson J.D., Dale V.H., Kline K.L., Karssenberg D., Verstegen J.A., Faaij A.P.C., van der Hilst F. . ‘Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States.’ Biofuels, Bioproducts and Biorefining 11, Nr. 6: 1007–1029. doi: 10.1002/bbb.1803.
    • Verstegen J., Hillen F., Kray C. „A framework to monitor, model, and actively manage crowd behaviour.“ contributed to the The 20th AGILE Conference on Geographic Information Science, Wageningen, The Netherlands, .
    • Verstegen J.A., van der Hilst F., Karssenberg D. . ‘Locating the position of a scenario projection in solution space.’ Contributed to the The 20th AGILE Conference on Geographic Information Science, Wageningen, The Netherlands.
    • Verstegen, Judith. . Quantifying and reducing uncertainty in land use change model projections - Case studies on the implications of increasing bioenergy demands Dissertationsschrift, Utrecht University. N/A: Selbstverlag / Eigenverlag.
    • Goh C.S., Wicke B., Verstegen J., Faaij A., Junginger M. . ‘Linking carbon stock change from land-use change to consumption of agricultural products: A review with Indonesian palm oil as a case study.’ Journal of Environmental Management 184, Nr. 2: 340–352. doi: 10.1016/j.jenvman.2016.08.055.
    • Verstegen J., van der Hilst F., Woltjer G., Karssenberg D., de Jong S., Faaij A. . ‘What can and can't we say about indirect land-use change in Brazil using an integrated economic - land-use change model?’ GCB Bioenergy 8, Nr. 3: 561–578. doi: 10.1111/gcbb.12270.
    • Jonker J., Junginger H., Verstegen J., Lin T., Rodríguez L., Ting K., Faaij A., van der Hilst F. . ‘Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil.’ Applied Energy 173, Nr. null: 494–510. doi: 10.1016/j.apenergy.2016.04.069.
    • Verstegen J., Karssenberg D., van der Hilst F., Faaij A. . ‘Detecting systemic change in a land use system by Bayesian data assimilation.’ Environmental Modelling and Software 75, Nr. null: 424–438. doi: 10.1016/j.envsoft.2015.02.013.
    • Wicke B., van der Hilst F., Daioglou V., Banse M., Beringer T., Gerssen-Gondelach S., Heijnen S., Karssenberg D., Laborde D., Lippe M., van Meijl H., Nassar A., Powell J., Prins A., Rose S., Smeets E., Stehfest E., Tyner W., Verstegen J., Valin H., van Vuuren D., Yeh S., Faaij A. . ‘Model collaboration for the improved assessment of biomass supply, demand, and impacts.’ GCB Bioenergy 7, Nr. 3: 422–437. doi: 10.1111/gcbb.12176.
    • Van der Hilst F., Verstegen J., Zheliezna T., Drozdova O., Faaij A. . ‘Integrated spatiotemporal modelling of bioenergy production potentials, agricultural land use, and related GHG balances; demonstrated for Ukraine.’ Biofuels, Bioproducts and Biorefining 8, Nr. 3: 391–411. doi: 10.1002/bbb.1471.
    • Verstegen J., Karssenberg D., van der Hilst F., Faaij A. . ‘Identifying a land use change cellular automaton by Bayesian data assimilation.’ Environmental Modelling and Software 53, Nr. null: 121–136. doi: 10.1016/j.envsoft.2013.11.009.
    • Diogo V., Van Der Hilst F., Van Eijck J., Verstegen J., Hilbert J., Carballo S., Volante J., Faaij A. . ‘Combining empirical and theory-based land-use modelling approaches to assess economic potential of biofuel production avoiding iLUC: Argentina as a case study.’ Renewable and Sustainable Energy Reviews 34, Nr. null: 208–224. doi: 10.1016/j.rser.2014.02.040.
    • van der Hilst, Floor; van Eijck, Janske; Verstegen, Judith; Diogo, Vasco; Batidzirai, Bothwell; Faaij, André;. . Impacts of Biofuel Production, Case Studies: Mozambique, Argentina and Ukraine – Final Report . Utrecht, The Netherlands: UNIDO and GEF, .
    • Verstegen J., Karssenberg D., Van der Hilst F., Faaij A. . ‘Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique.’ Computers, Environment and Urban Systems 36, Nr. 1: 30–42. doi: 10.1016/j.compenvurbsys.2011.08.003.
    • Van der Hilst F., Verstegen J., Karssenberg D., Faaij A. . ‘Spatiotemporal land use modelling to assess land availability for energy crops - illustrated for Mozambique.’ GCB Bioenergy 4, Nr. 6: 859–874. doi: 10.1111/j.1757-1707.2011.01147.x.