Publications

Aebischer, P., M. Sutter, A. Birkinshaw, M. Nussbaum, and B. Reidy (2024). “Herbage biomass predictions from UAV data using a derived digital terrain model and machine learning”. In: Grass and Forage Science. doi: 10.1111/gfs.12694.

Gargari, S. F., Z. Huang, and S. Dabiri (2024). “An upwind moving least squares approximation to solve convection-dominated problems: An application in mixed discrete least squares meshfree method”. In: Journal of Computational Physics 506. doi: 10.1016/j.jcp.2024.112931.

Hariadi, M. H., G. Van Der Schrier, G.-J. Steeneveld, S. J. Sutanto, E. Sutanudjaja, D. N. Ratri, A. Sopaheluwakan, and A. Klein Tank (2024). “A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia”. In: Hydrology and Earth System Sciences 28(9), pp. 1935–1956. doi: 10.5194/hess-28-1935-2024.

Holler, S., D. Kübler, O. Conrad, O. Schmitz, C. Bonannella, T. Hengl, J. Böhner, S. Günter, and M. Lippe (2024). “Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model”. In: PLoS ONE 19(2 February). doi: 10.1371/journal.pone.0297439.

Huang, Y., J. Evaristo, Z. Li, K. P. Chun, E. H. Sutanudjaja, M. B. Cardenas, M. F. P. Bierkens, J. W. Kirchner, and M. T. van Genuchten (2024). “The nature and extent of bomb tritium remaining in deep vadose zone: A synthesis and prognosis”. In: Vadose Zone Journal 23(4). doi: 10.1002/vzj2.20304.

Jeitany, J. el, M. Nussbaum, T. Pacetti, B. Schröder, and E. Caporali (2024). “Landscape metrics as predictors of water-related ecosystem services: Insights from hydrological modeling and data-based approaches applied on the Arno River Basin, Italy”. In: Science of the Total Environment 954. doi: 10.1016/j.scitotenv.2024.176567.

Ndiaye, A., Y. Shen, K. Kyriakou, D. Karssenberg, O. Schmitz, B. Flückiger, K. d. Hoogh, and G. Hoek (2024). “Hourly land-use regression modeling for NO2 and PM2.5 in the Netherlands.”. In: Environmental Research 256. doi: 10.1016/j.envres.2024.119233.

Perez, N., V. Singh, C. Ringler, H. Xie, T. Zhu, E. H. Sutanudjaja, and K. G. Villholth (2024). “Ending groundwater overdraft without affecting food security”. In: Nature Sustainability 7(8), pp. 1007–1017. doi: 10.1038/s41893-024-01376-w.

Reinecke, R., S. Gnann, L. Stein, M. Bierkens, I. de Graaf, T. Gleeson, G. O. Essink, E. H. Sutanudjaja, C. Ruz Vargas, J. Verkaik, and T. Wagener (2024). “Uncertainty in model estimates of global groundwater depth”. In: Environmental Research Letters 19(11). doi: 10.1088/1748-9326/ad8587.

Shen, Y., K. de Hoogh, O. Schmitz, N. Clinton, K. Tuxen-Bettman, J. Brandt, J. H. Christensen, L. M. Frohn, C. Geels, D. Karssenberg, R. Vermeulen, and G. Hoek (2024). “Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019”. In: Science of the Total Environment 918. doi: 10.1016/j.scitotenv.2024.170550.

Shen, Y., K. de Hoogh, O. Schmitz, J. Gulliver, D. Vienneau, R. Vermeulen, G. Hoek, and D. Karssenberg (2024). “Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads”. In: Atmospheric Environment 335. doi: 10.1016/j.atmosenv.2024.120719.

Slinger, G., S. T. Verbeek, E. van Diessen, L. Noorlag, K. P. Braun, Y. Shen, W. M. Otte, and G. S. Downward (2024). “Air pollution and childhood epilepsy diagnosis at a first seizure clinic in The Netherlands: A case-control study”. In: Environmental Advances 16. doi: 10.1016/j.envadv.2024.100541.

Verkaik, J., E. H. Sutanudjaja, G. H. P. Oude Essink, H. X. Lin, and M. F. P. Bierkens (2024). “GLOBGM v1.0: A parallel implementation of a 30arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model”. In: Geoscientific Model Development 17(1), pp. 275–300. doi: 10.5194/gmd-17-275-2024.

Westhuizen, S. van der, G. B. M. Heuvelink, D. P. Hofmeyr, L. Poggio, M. Nussbaum, and C. Brungard (2024). “Mapping soil thickness by accounting for right-censored data with survival probabilities and machine learning”. In: European Journal of Soil Science 75(5). doi: 10.1111/ejss.13589.

Yuan, Z., Y. Shen, G. Hoek, R. Vermeulen, and J. Kerckhoffs (2024). “LUR modeling of long-term average hourly concentrations of NO2 using hyperlocal mobile monitoring data”. In: Science of the Total Environment 922. doi: 10.1016/j.scitotenv.2024.171251.

Bijlmakers, J., J. Griffioen, and D. Karssenberg (2023). “Environmental drivers of spatio-Temporal dynamics in floodplain vegetation: Grasslands as habitat for megafauna in Bardia National Park (Nepal)”. In: Biogeosciences 20(6), pp. 1113–1144. doi: 10.5194/bg-20-1113-2023.

Chevuturi, A., M. Tanguy, K. Facer-Childs, A. Martínez-de la Torre, S. Sarkar, S. Thober, L. Samaniego, O. Rakovec, M. Kelbling, E. H. Sutanudjaja, N. Wanders, and E. Blyth (2023). “Improving global hydrological simulations through bias-correction and multi-model blending”. In: Journal of Hydrology 621. doi: 10.1016/j.jhydrol.2023.129607.

Cochard, R., M. Gravey, L. G. Rasera, G. Mariethoz, and C. A. Kull (2023). “The nature of a ‘forest transition’ in Thua Thiên Hue Province, Central Vietnam – A study of land cover changes over five decades”. In: Land Use Policy 134. doi: 10.1016/j.landusepol.2023.106887.

Gravey, M. and G. Mariethoz (2023). “AutoQS v1: automatic parametrization of QuickSampling based on training images analysis”. In: Geoscientific Model Development 16(17), pp. 5265–5279. doi: 10.5194/gmd-16-5265-2023.

Herholz, C., J. Siegwart, M. Nussbaum, M. H.-P. Studer, and S. Burgos (2023). “Large Temporal Variations of Functional Properties of Outdoor Equestrian Arena Surfaces and a New Concept of Evaluating Reactivity With Light Weight Deflectometer Settlement Curves”. In: Journal of Equine Veterinary Science 129. doi: 10.1016/j.jevs.2023.104909.

Hoch, J. M., E. H. Sutanudjaja, N. Wanders, R. L. P. H. Van Beek, and M. F. P. Bierkens (2023). “Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1km over the European continent”. In: Hydrology and Earth System Sciences 27(6), pp. 1383–1401. doi: 10.5194/hess-27-1383-2023.

Jones, E. R., M. F. P. Bierkens, N. Wanders, E. H. Sutanudjaja, L. P. H. van Beek, and M. T. H. van Vliet (2023). “Author Correction: Current wastewater treatment targets are insufficient to protect surface water quality (Communications Earth & Environment, (2022), 3, 1, (221), 10.1038/s43247-022-00554-y)”. In: Communications Earth and Environment 4(1). doi: 10.1038/s43247-023-00738-0.

Jones, E. R., M. F. P. Bierkens, N. Wanders, E. H. Sutanudjaja, L. P. H. Van Beek, and M. T. H. Van Vliet (2023). “DynQual v1.0: a high-resolution global surface water quality model”. In: Geoscientific Model Development 16(15), pp. 4481–4500. doi: 10.5194/gmd-16-4481-2023.

Kalthof, M. W. M. L., M. Gravey, F. Wijnands, and D. Karssenberg (2023). “Predicting Continental Scale Malaria With Land Surface Water Predictors Based on Malaria Dispersal Mechanisms and High-Resolution Earth Observation Data”. In: GeoHealth 7(10). doi: 10.1029/2023GH000811.

Lam, T. M., A. J. Wagtendonk, N. R. den Braver, D. Karssenberg, I. Vaartjes, E. J. Timmermans, J. W. J. Beulens, and J. Lakerveld (2023). “Development of a neighborhood obesogenic built environment characteristics index for the Netherlands”. In: Obesity 31(1), pp. 214–224. doi: 10.1002/oby.23610.

Magni, M., E. H. Sutanudjaja, Y. Shen, and D. Karssenberg (2023). “Global streamflow modelling using process-informed machine learning”. In: Journal of Hydroinformatics 25(5), pp. 1648–1666. doi: 10.2166/hydro.2023.217.

Nussbaum, M., S. Zimmermann, L. Walthert, and A. Baltensweiler (2023). “Benefits of hierarchical predictions for digital soil mapping—An approach to map bimodal soil pH”. In: Geoderma 437. doi: 10.1016/j.geoderma.2023.116579.

Nussbaumer, R., M. Gravey, M. Briedis, and F. Liechti (2023). “Global positioning with animal-borne pressure sensors”. In: Methods in Ecology and Evolution 14(4), pp. 1104–1117. doi: 10.1111/2041-210X.14043.

Nussbaumer, R., M. Gravey, M. Briedis, F. Liechti, and D. Sheldon (2023). “Reconstructing bird trajectories from pressure and wind data using a highly optimized hidden Markov model”. In: Methods in Ecology and Evolution 14(4), pp. 1118–1129. doi: 10.1111/2041-210X.14082.

Panchard, T., O. Broennimann, M. Gravey, G. Mariethoz, and A. Guisan (2023). “Snow cover persistence as a useful predictor of alpine plant distributions”. In: Journal of Biogeography 50(10), pp. 1789–1802. doi: 10.1111/jbi.14689.

Schoedl, N. W., E. J. MacKie, M. J. Field, E. A. Stubbs, A. Zhang, M. Hibbs, and M. Gravey (2023). “A Python Multiprocessing Approach for Fast Geostatistical Simulations of Subglacial Topography”. In: Computing in Science and Engineering 25(3), pp. 42–49. doi: 10.1109/MCSE.2023.3317773.

Scown, M. W., F. E. Dunn, S. C. Dekker, D. P. van Vuuren, S. Karabil, E. H. Sutanudjaja, M. J. Santos, P. S. Minderhoud, A. S. Garmestani, and H. Middelkoop (2023). “Global change scenarios in coastal river deltas and their sustainable development implications”. In: Global Environmental Change 82. doi: 10.1016/j.gloenvcha.2023.102736.

Shen, Y., K. de Hoogh, O. Schmitz, N. Clinton, K. Tuxen-Bettman, J. Brandt, J. H. Christensen, L. M. Frohn, C. Geels, D. Karssenberg, R. Vermeulen, and G. Hoek (2023). “Corrigendum to “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression” [Environ. Int. 168 (2022) 107485](S0160412022004123)(10.1016/j.envint.2022.107485)”. In: Environment International 178. doi: 10.1016/j.envint.2023.108111.

Shi, H., G. Luo, E. H. Sutanudjaja, O. Hellwich, X. Chen, J. Ding, S. Wu, X. He, C. Chen, F. U. Ochege, Y. Wang, Q. Ling, A. Kurban, P. De Maeyer, and T. Van de Voorde (2023). “Recent impacts of water management on dryland’s salinization and degradation neutralization”. In: Science Bulletin 68(24), pp. 3240–3251. doi: 10.1016/j.scib.2023.11.012.

Xu, Y., Z. Gun, J. Zhao, J. Chen, Q. Liu, X. Cheng, E. H. Sutanudjaja, J. Wang, H. Liu, and W. Zhan (2023). “Continuing Severe Water Shortage in the Water-Receiving Area of the South-To-North Water Diversion Eastern Route Project From 2002 to 2020”. In: Water Resources Research 59(10). doi: 10.1029/2022WR034365.

Bonetti, S., E. H. Sutanudjaja, T. Mabhaudhi, R. Slotow, and C. Dalin (2022). “Climate change impacts on water sustainability of South African crop production”. In: Environmental Research Letters 17(8). doi: 10.1088/1748-9326/ac80cf.

Jin, Y., L. Scherer, E. H. Sutanudjaja, A. Tukker, and P. Behrens (2022). “Climate change and CCS increase the water vulnerability of China’s thermoelectric power fleet”. In: Energy 245. doi: 10.1016/j.energy.2022.123339.

Jones, E. R., M. F. P. Bierkens, N. Wanders, E. H. Sutanudjaja, L. P. H. van Beek, and M. T. H. van Vliet (2022). “Current wastewater treatment targets are insufficient to protect surface water quality”. In: Communications Earth and Environment 3(1). doi: 10.1038/s43247-022-00554-y.

Jong, K. de, D. Panja, D. Karssenberg, and M. van Kreveld (2022). “Scalability and composability of flow accumulation algorithms based on asynchronous many-tasks”. In: Computers and Geosciences 162. doi: 10.1016/j.cageo.2022.105083.

Jwaideh, M. A. A., E. H. Sutanudjaja, and C. Dalin (2022). “Global impacts of nitrogen and phosphorus fertiliser use for major crops on aquatic biodiversity”. In: International Journal of Life Cycle Assessment 27(8), pp. 1058–1080. doi: 10.1007/s11367-022-02078-1.

Lam, T. M., Z. Wang, I. Vaartjes, D. Karssenberg, D. Ettema, M. Helbich, E. J. Timmermans, L. D. Frank, N. R. den Braver, A. J. Wagtendonk, J. W. J. Beulens, and J. Lakerveld (2022). “Development of an objectively measured walkability index for the Netherlands”. In: International Journal of Behavioral Nutrition and Physical Activity 19(1). doi: 10.1186/s12966-022-01270-8.

Lu, M., O. Schmitz, K. de Hoogh, G. Hoek, Q. Li, and D. Karssenberg (2022). “Integrating statistical and agent-based modelling for activity-based ambient air pollution exposure assessment”. In: Environmental Modelling and Software 158. doi: 10.1016/j.envsoft.2022.105555.

Ntarladima, A.-M., D. Karssenberg, M. Poelman, D. E. Grobbee, M. Lu, O. Schmitz, M. Strak, N. Janssen, G. Hoek, and I. Vaartjes (2022). “Associations between the fast-food environment and diabetes prevalence in the Netherlands: a cross-sectional study”. In: The Lancet Planetary Health 6(1), e29–e39. doi: 10.1016/S2542-5196(21)00298-9.

Phelps, L. N., N. Andela, M. Gravey, D. S. Davis, C. A. Kull, K. Douglass, and C. E. R. Lehmann (2022). “Madagascar’s fire regimes challenge global assumptions about landscape degradation”. In: Global Change Biology 28(23), pp. 6944–6960. doi: 10.1111/gcb.16206.

Rumpf, S. B., M. Gravey, O. Brönnimann, M. Luoto, C. Cianfrani, G. Mariethoz, and A. Guisan (2022). “From white to green: Snow cover loss and increased vegetation productivity in the European Alps”. In: Science 376(6597), pp. 1119–1122. doi: 10.1126/science.abn6697.

Shen, Y., K. de Hoogh, O. Schmitz, N. Clinton, K. Tuxen-Bettman, J. Brandt, J. H. Christensen, L. M. Frohn, C. Geels, D. Karssenberg, R. Vermeulen, and G. Hoek (2022). “Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression”. In: Environment International 168. doi: 10.1016/j.envint.2022.107485.

Shen, Y., J. Ruijsch, M. Lu, E. H. Sutanudjaja, and D. Karssenberg (2022). “Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms”. In: Computers and Geosciences 159. doi: 10.1016/j.cageo.2021.105019.

Thorslund, J., M. F. Bierkens, A. Scaini, E. H. Sutanudjaja, and M. T. Van Vliet (2022). “Salinity impacts on irrigation water-scarcity in food bowl regions of the US and Australia”. In: Environmental Research Letters 17(8). doi: 10.1088/1748-9326/ac7df4.

Wiersma, P., J. Aerts, H. Zekollari, M. Hrachowitz, N. Drost, M. Huss, E. H. Sutanudjaja, and R. Hut (2022). “Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff”. In: Hydrology and Earth System Sciences 26(23), pp. 5971–5986. doi: 10.5194/hess-26-5971-2022.

Zamrsky, D., G. H. P. Oude Essink, E. H. Sutanudjaja, L. Van Beek, and M. F. P. Bierkens (2022). “Offshore fresh groundwater in coastal unconsolidated sediment systems as a potential fresh water source in the 21st century”. In: Environmental Research Letters 17(1). doi: 10.1088/1748-9326/ac4073.

Babalola, T., P. Oguntunde, A. Ajayi, F. Akinluyi, and E. Sutanudjaja (2021). “Evaluating a finer resolution global hydrological model’s simulation of discharge in four West-African river basins”. In: Modeling Earth Systems and Environment 7(4), pp. 2167–2178. doi: 10.1007/s40808-020-00948-x.

Bierkens, M. F. P., E. H. Sutanudjaja, and N. Wanders (2021). “Large-scale sensitivities of groundwater and surface water to groundwater withdrawal”. In: Hydrology and Earth System Sciences 25(11), pp. 5859–5878. doi: 10.5194/hess-25-5859-2021.

Duden, A., P. Verweij, Y. Kraak, L. van Beek, N. Wanders, D. Karssenberg, E. Sutanudjaja, and F. van der Hilst (2021). “Hydrological impacts of ethanol-driven sugarcane expansion in Brazil”. In: Journal of Environmental Management 282. doi: 10.1016/j.jenvman.2021.111942.

Eslami, S., P. Hoekstra, P. S. J. Minderhoud, N. N. Trung, J. M. Hoch, E. H. Sutanudjaja, D. D. Dung, T. Q. Tho, H. E. Voepel, M.-N. Woillez, and M. van der Vegt (2021). “Projections of salt intrusion in a mega-delta under climatic and anthropogenic stressors”. In: Communications Earth and Environment 2(1). doi: 10.1038/s43247-021-00208-5.

Geng, X., S. Ji, M. Lu, and L. Zhao (2021). “Multi-scale attentive aggregation for LIDAR point cloud segmentation”. In: Remote Sensing 13(4), pp. 1–12. doi: 10.3390/rs13040691.

Harbers, M. C., J. W. Beulens, J. M. Boer, D. Karssenberg, J. D. Mackenbach, F. Rutters, I. Vaartjes, W. M. Verschuren, and Y. T. van der Schouw (2021). “Residential exposure to fast-food restaurants and its association with diet quality, overweight and obesity in the Netherlands: a cross-sectional analysis in the EPIC-NL cohort”. In: Nutrition Journal 20(1). doi: 10.1186/s12937-021-00713-5.

Jafino, B. A., J. H. Kwakkel, F. Klijn, N. V. Dung, H. van Delden, M. Haasnoot, and E. H. Sutanudjaja (2021). “Accounting for Multisectoral Dynamics in Supporting Equitable Adaptation Planning: A Case Study on the Rice Agriculture in the Vietnam Mekong Delta”. In: Earth’s Future 9(5). doi: 10.1029/2020EF001939.

Ji, S., P. Dai, M. Lu, and Y. Zhang (2021). “Simultaneous Cloud Detection and Removal from Bitemporal Remote Sensing Images Using Cascade Convolutional Neural Networks”. In: IEEE Transactions on Geoscience and Remote Sensing 59(1), pp. 732–748. doi: 10.1109/TGRS.2020.2994349.

Jong, K. de, D. Panja, M. van Kreveld, and D. Karssenberg (2021). “An environmental modelling framework based on asynchronous many-tasks: Scalability and usability”. In: Environmental Modelling and Software 139. doi: 10.1016/j.envsoft.2021.104998.

Karabil, S., E. H. Sutanudjaja, E. Lambert, M. F. P. Bierkens, and R. S. W. Van de Wal (2021). “Contribution of Land Water Storage Change to Regional Sea-Level Rise Over the Twenty-First Century”. In: Frontiers in Earth Science 9. doi: 10.3389/feart.2021.627648.

Lam, T. M., I. Vaartjes, D. E. Grobbee, D. Karssenberg, and J. Lakerveld (2021). “Associations between the built environment and obesity: an umbrella review”. In: International Journal of Health Geographics 20(1). doi: 10.1186/s12942-021-00260-6.

Lu, M., R. Dai, C. de Boer, O. Schmitz, I. Kooter, S. Cristescu, and D. Karssenberg (2021). “External validation for statistical NO2 modelling: A study case using a high-end mobile sensing instrument”. In: Atmospheric Pollution Research 12(11). doi: 10.1016/j.apr.2021.101205.

Ntarladima, A.-M., D. Karssenberg, I. Vaartjes, D. E. Grobbee, O. Schmitz, M. Lu, J. Boer, G. Koppelman, J. Vonk, R. Vermeulen, G. Hoek, and U. Gehring (2021). “A comparison of associations with childhood lung function between air pollution exposure assessment methods with and without accounting for time-activity patterns”. In: Environmental Research 202. doi: 10.1016/j.envres.2021.111710.

Poelman, M. P., M. Nicolaou, S. C. DIjkstra, J. D. MacKenbach, M. Lu, D. Karssenberg, M. B. Snijder, I. Vaartjes, and K. Stronks (2021). “Does the neighbourhood food environment contribute to ethnic differences in diet quality? Results from the HELIUS study in Amsterdam, the Netherlands”. In: Public Health Nutrition 24(15), pp. 5101–5112. doi: 10.1017/S1368980021001919.

Ruijsch, J., J. A. Verstegen, E. H. Sutanudjaja, and D. Karssenberg (2021). “Systemic change in the Rhine-Meuse basin: Quantifying and explaining parameters trends in the PCR-GLOBWB global hydrological model”. In: Advances in Water Resources 155. doi: 10.1016/j.advwatres.2021.104013.

Thorslund, J., M. F. P. Bierkens, G. H. P. Oude Essink, E. H. Sutanudjaja, and M. T. H. van Vliet (2021). “Common irrigation drivers of freshwater salinisation in river basins worldwide”. In: Nature Communications 12(1). doi: 10.1038/s41467-021-24281-8.

Wang, Y., J. E. A. Storms, A. W. Martinius, D. Karssenberg, and H. A. Abels (2021). “Evaluating alluvial stratigraphic response to cyclic and non-cyclic upstream forcing through process-based alluvial architecture modelling”. In: Basin Research 33(1), pp. 48–65. doi: 10.1111/bre.12454.

Zhang, Z., M. Lu, S. Ji, H. Yu, and C. Nie (2021). “Rich cnn features for water-body segmentation from very high resolution aerial and satellite imagery”. In: Remote Sensing 13(10). doi: 10.3390/rs13101912.

Bleuten, W., E. Zarov, and O. Schmitz (2020). “A high-resolution transient 3-dimensional hydrological model of an extensive undisturbed bog complex in west siberia”. In: Mires and Peat 26. doi: 10.19189/MaP.2019.OMB.StA.1769.

Brito, P. L., M. Kuffer, M. Koeva, J. C. Pedrassoli, J. Wang, F. Costa, and A. D. de Freitas (2020). “The spatial dimension of COVID-19: The potential of earth observation data in support of slum communities with evidence from Brazil”. In: ISPRS International Journal of Geo-Information 9(9). doi: 10.3390/ijgi9090557.

Ji, S., Z. Qin, J. Shan, and M. Lu (2020). “Panoramic SLAM from a multiple fisheye camera rig”. In: ISPRS Journal of Photogrammetry and Remote Sensing 159, pp. 169–183. doi: 10.1016/j.isprsjprs.2019.11.014.

Ji, S., Z. Zhang, C. Zhang, S. Wei, M. Lu, and Y. Duan (2020). “Learning discriminative spatiotemporal features for precise crop classification from multi-temporal satellite images”. In: International Journal of Remote Sensing 41(8), pp. 3162–3174. doi: 10.1080/01431161.2019.1699973.

Lakerveld, J., A. Wagtendonk, I. Vaartjes, D. Karssenberg, B. Penninx, J. Beulens, E. Timmermans, M. Huisman, S. Kramer, M. van Wier, D. Boomsma, G. Willemsen, C. Schuengel, M. Oosterman, K. Stronks, R. Vermeulen, A. Koster, C. Stehouwer, K. van den Hurk, E. Koomen, R. de Mutsert, M. t. Have, M. Verschuren, S. Picavet, M. Beenackers, F. van Lenthe, A. Ikram, V. Jaddoe, T. Oldehinkel, T. de Jong, S. Mulder, and A. Dotinga (2020). “Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands”. In: International Journal of Health Geographics 19(1). doi: 10.1186/s12942-020-00235-z.

Li, X., M. Luo, S. Ji, L. Zhang, and M. Lu (2020). “Evaluating generative adversarial networks based image-level domain transfer for multi-source remote sensing image segmentation and object detection”. In: International Journal of Remote Sensing 41(19), pp. 7327–7351. doi: 10.1080/01431161.2020.1757782.

Loozen, Y., K. T. Rebel, S. M. de Jong, M. Lu, S. V. Ollinger, M. J. Wassen, and D. Karssenberg (2020). “Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method”. In: Remote Sensing of Environment 247. doi: 10.1016/j.rse.2020.111933.

Lu, M., O. Schmitz, K. de Hoogh, Q. Kai, and D. Karssenberg (2020). “Evaluation of different methods and data sources to optimise modelling of NO2 at a global scale”. In: Environment International 142. doi: 10.1016/j.envint.2020.105856.

Lu, M., I. Soenario, M. Helbich, O. Schmitz, G. Hoek, M. van der Molen, and D. Karssenberg (2020). “Land use regression models revealing spatiotemporal co-variation in NO2, NO, and O3 in the Netherlands”. In: Atmospheric Environment 223. doi: 10.1016/j.atmosenv.2019.117238.

Rateb, A., B. R. Scanlon, D. R. Pool, A. Sun, Z. Zhang, J. Chen, B. Clark, C. C. Faunt, C. J. Haugh, M. Hill, C. Hobza, V. L. McGuire, M. Reitz, H. Müller Schmied, E. H. Sutanudjaja, S. Swenson, D. Wiese, Y. Xia, and W. Zell (2020). “Comparison of Groundwater Storage Changes From GRACE Satellites With Monitoring and Modeling of Major U.S. Aquifers”. In: Water Resources Research 56(12). doi: 10.1029/2020WR027556.

Scheider, S., J. Wang, M. Mol, O. Schmitz, and D. Karssenberg (2020). “Obfuscating spatial point tracks with simulated crowding”. In: International Journal of Geographical Information Science 34(7), pp. 1398–1427. doi: 10.1080/13658816.2020.1712402.

Scussolini, P., D. Eilander, E. H. Sutanudjaja, H. Ikeuchi, J. M. Hoch, P. J. Ward, P. Bakker, B. L. Otto-Bliesner, C. Guo, C. Stepanek, Q. Zhang, P. Braconnot, M.-V. Guarino, S. Muis, D. Yamazaki, T. I. E. Veldkamp, and J. C. J. H. Aerts (2020). “Global River Discharge and Floods in the Warmer Climate of the Last Interglacial”. In: Geophysical Research Letters 47(18). doi: 10.1029/2020GL089375.

Straatsma, M., P. Droogers, J. Hunink, W. Berendrecht, J. Buitink, W. Buytaert, D. Karssenberg, O. Schmitz, E. H. Sutanudjaja, L. van Beek, C. Vitolo, and M. F. Bierkens (2020). “Global to regional scale evaluation of adaptation measures to reduce the future water gap”. In: Environmental Modelling and Software 124. doi: 10.1016/j.envsoft.2019.104578.

Van Rongen, S., M. P. Poelman, L. Thornton, G. Abbott, M. Lu, C. B. M. Kamphuis, K. Verkooijen, and E. De Vet (2020). “Neighbourhood fast food exposure and consumption: The mediating role of neighbourhood social norms”. In: International Journal of Behavioral Nutrition and Physical Activity 17(1). doi: 10.1186/s12966-020-00969-w.

Wang, J., O. Schmitz, M. Lu, and D. Karssenberg (2020). “Thermal unmixing based downscaling for fine resolution diurnal land surface temperature analysis”. In: ISPRS Journal of Photogrammetry and Remote Sensing 161, pp. 76–89. doi: 10.1016/j.isprsjprs.2020.01.014.

Wang, Y., S. Ji, M. Lu, and Y. Zhang (2020). “Attention boosted bilinear pooling for remote sensing image retrieval”. In: International Journal of Remote Sensing 41(7), pp. 2704–2724. doi: 10.1080/01431161.2019.1697010.

Watson, L., M. W. Straatsma, N. Wanders, J. A. Verstegen, S. M. De Jong, and D. Karssenberg (2020). “Global ecosystem service values in climate class transitions”. In: Environmental Research Letters 15(2). doi: 10.1088/1748-9326/ab5aab.

Wei, S., S. Ji, and M. Lu (2020). “Toward Automatic Building Footprint Delineation from Aerial Images Using CNN and Regularization”. In: IEEE Transactions on Geoscience and Remote Sensing 58(3), pp. 2178–2189. doi: 10.1109/TGRS.2019.2954461.

Wing, O. E. J., N. Quinn, P. D. Bates, J. C. Neal, A. M. Smith, C. C. Sampson, G. Coxon, D. Yamazaki, E. H. Sutanudjaja, and L. Alfieri (2020). “Toward Global Stochastic River Flood Modeling”. In: Water Resources Research 56(8). doi: 10.1029/2020WR027692.

Babel, L., D. Vinck, and D. Karssenberg (2019). “Decision-making in model construction: Unveiling habits”. In: Environmental Modelling and Software 120. doi: 10.1016/j.envsoft.2019.07.015.

Graaf, I. E. M. de, T. Gleeson, L. (Rens) van Beek, E. H. Sutanudjaja, and M. F. P. Bierkens (2019). “Environmental flow limits to global groundwater pumping”. In: Nature 574(7776), pp. 90–94. doi: 10.1038/s41586-019-1594-4.

Hajati, M.-C., E. Sutanudjaja, and N. Moosdorf (2019). “Quantifying Regional Fresh Submarine Groundwater Discharge With the Lumped Modeling Approach CoCa-RFSGD”. In: Water Resources Research 55(7), pp. 5321–5341. doi: 10.1029/2018WR024248.

Ji, S., J. Liu, and M. Lu (2019). “CNN-based dense image matching for aerial remote sensing images”. In: Photogrammetric Engineering and Remote Sensing 85(6), pp. 415–424. doi: 10.14358/PERS.85.6.415.

Ji, S., Y. Shen, M. Lu, and Y. Zhang (2019). “Building instance change detection from large-scale aerial images using convolutional neural networks and simulated samples”. In: Remote Sensing 11(11). doi: 10.3390/rs11111343.

Ji, S., S. Wei, and M. Lu (2019a). “A scale robust convolutional neural network for automatic building extraction from aerial and satellite imagery”. In: International Journal of Remote Sensing 40(9), pp. 3308–3322. doi: 10.1080/01431161.2018.1528024.

Ji, S., S. Wei, and M. Lu (2019b). “Fully Convolutional Networks for Multisource Building Extraction from an Open Aerial and Satellite Imagery Data Set”. In: IEEE Transactions on Geoscience and Remote Sensing 57(1), pp. 574–586. doi: 10.1109/TGRS.2018.2858817.

Jong, K. de and D. Karssenberg (2019). “A physical data model for spatio-temporal objects”. In: Environmental Modelling and Software 122. doi: 10.1016/j.envsoft.2019.104553.

Li, B., M. Rodell, J. Sheffield, E. Wood, and E. Sutanudjaja (2019). “Long-term, non-anthropogenic groundwater storage changes simulated by three global-scale hydrological models”. In: Scientific Reports 9(1). doi: 10.1038/s41598-019-47219-z.

Liu, H., Q. Zhan, C. Yang, and J. Wang (2019). “The multi-timescale temporal patterns and dynamics of land surface temperature using Ensemble Empirical Mode Decomposition”. In: Science of the Total Environment 652, pp. 243–255. doi: 10.1016/j.scitotenv.2018.10.252.

Loozen, Y., D. Karssenberg, S. M. de Jong, S. Wang, J. van Dijk, M. J. Wassen, and K. T. Rebel (2019). “Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses”. In: International Journal of Applied Earth Observation and Geoinformation 75, pp. 1–14. doi: 10.1016/j.jag.2018.08.012.

Lu, M., O. Schmitz, I. Vaartjes, and D. Karssenberg (2019). “Activity-based air pollution exposure assessment: Differences between homemakers and cycling commuters”. In: Health and Place 60. doi: 10.1016/j.healthplace.2019.102233.

Ntarladima, A.-M., I. Vaartjes, D. E. Grobbee, M. Dijst, O. Schmitz, C. Uiterwaal, G. Dalmeijer, C. Van Der Ent, G. Hoek, and D. Karssenberg (2019). “Relations between air pollution and vascular development in 5-year old children: A cross-sectional study in the Netherlands”. In: Environmental Health: A Global Access Science Source 18(1). doi: 10.1186/s12940-019-0487-1.

Schmitz, O., R. Beelen, M. Strak, G. Hoek, I. Soenario, B. Brunekreef, I. Vaartjes, M. J. Dijst, D. E. Grobbee, and D. Karssenberg (2019). “Data descriptor: High resolution annual average air pollution concentration maps for the netherlands”. In: Scientific Data 6. doi: 10.1038/sdata.2019.35.

Steen, Y. van, A.-M. Ntarladima, R. Grobbee, D. Karssenberg, and I. Vaartjes (2019). “Sex differences in mortality after heat waves: are elderly women at higher risk?”. In: International Archives of Occupational and Environmental Health 92(1), pp. 37–48. doi: 10.1007/s00420-018-1360-1.

Wang, J., M. Kuffer, and K. Pfeffer (2019). “The role of spatial heterogeneity in detecting urban slums”. In: Computers, Environment and Urban Systems 73, pp. 95–107. doi: 10.1016/j.compenvurbsys.2018.08.007.

Wang, J., M. Kuffer, D. Roy, and K. Pfeffer (2019). “Deprivation pockets through the lens of convolutional neural networks”. In: Remote Sensing of Environment 234. doi: 10.1016/j.rse.2019.111448.

Wang, J., M. Kuffer, R. Sliuzas, and D. Kohli (2019). “The exposure of slums to high temperature: Morphology-based local scale thermal patterns”. In: Science of the Total Environment 650, pp. 1805–1817. doi: 10.1016/j.scitotenv.2018.09.324.

Zhang, C., S. Wei, S. Ji, and M. Lu (2019). “Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification”. In: ISPRS International Journal of Geo-Information 8(4). doi: 10.3390/ijgi8040189.

Zhu, R., D. Yu, S. Ji, and M. Lu (2019). “Matching RGB and infrared remote sensing images with densely-connected convolutional neural networks”. In: Remote Sensing 11(23). doi: 10.3390/rs11232836.

Ji, S., D. Yu, Y. Hong, and M. Lu (2018). “Template matching for wide-baseline panoramic images from a vehicle-borne multi-camera rig”. In: ISPRS International Journal of Geo-Information 7(7). doi: 10.3390/ijgi7070236.

Kuffer, M., J. Wang, M. Nagenborg, K. Pfeffer, D. Kohli, R. Sliuzas, and C. Persello (2018). “The scope of earth-observation to improve the consistency of the SDG slum indicator”. In: ISPRS International Journal of Geo-Information 7(11). doi: 10.3390/ijgi7110428.

Liu, H., Q. Zhan, C. Yang, and J. Wang (2018). “Characterizing the spatio-temporal pattern of land surface temperature through time series clustering: Based on the latent pattern and morphology”. In: Remote Sensing 10(4). doi: 10.3390/rs10040654.

Loozen, Y., K. T. Rebel, D. Karssenberg, M. J. Wassen, J. Sardans, J. Peñuelas, and S. M. De Jong (2018). “Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS terrestrial chlorophyll index”. In: Biogeosciences 15(9), pp. 2723–2742. doi: 10.5194/bg-15-2723-2018.

Lu, M., M. Appel, and E. Pebesma (2018). “Multidimensional arrays for analysing geoscientific data”. In: ISPRS International Journal of Geo-Information 7(8). doi: 10.3390/ijgi7080313.

Poelman, M., M. Strak, O. Schmitz, G. Hoek, D. Karssenberg, M. Helbich, A.-M. Ntarladima, M. Bots, B. Brunekreef, R. Grobbee, M. Dijst, and I. Vaartjes (2018). “Relations between the residential fast-food environment and the individual risk of cardiovascular diseases in The Netherlands: A nationwide follow-up study”. In: European Journal of Preventive Cardiology 25(13), pp. 1397–1405. doi: 10.1177/2047487318769458.

Qin, K., J. Zou, J. Guo, M. Lu, M. Bilal, K. Zhang, F. Ma, and Y. Zhang (2018). “Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014–2017”. In: Atmospheric Environment 195, pp. 149–158. doi: 10.1016/j.atmosenv.2018.09.054.

Sutanudjaja, E. H., R. Van Beek, N. Wanders, Y. Wada, J. H. Bosmans, N. Drost, R. J. Van Der Ent, I. E. De Graaf, J. M. Hoch, K. De Jong, D. Karssenberg, P. López López, S. Peßenteiner, O. Schmitz, M. W. Straatsma, E. Vannametee, D. Wisser, and M. F. Bierkens (2018). “PCR-GLOBWB 2: A 5 arcmin global hydrological and water resources model”. In: Geoscientific Model Development 11(6), pp. 2429–2453. doi: 10.5194/gmd-11-2429-2018.

Tangdamrongsub, N., S.-C. Han, S. Tian, H. M. Schmied, E. H. Sutanudjaja, J. Ran, and W. Feng (2018). “Evaluation of groundwater storage variations estimated from GRACE data assimilation and state-of-the-art land surface models in Australia and the North China Plain”. In: Remote Sensing 10(3). doi: 10.3390/rs10030483.

Bakker, M. P. de, K. de Jong, O. Schmitz, and D. Karssenberg (2017). “Design and demonstration of a data model to integrate agent-based and field-based modelling”. In: Environmental Modelling and Software 89, pp. 172–189. doi: 10.1016/j.envsoft.2016.11.016.

Bosmans, J. H., L. P. Van Beek, E. H. Sutanudjaja, and M. F. Bierkens (2017). “Hydrological impacts of global land cover change and human water use”. In: Hydrology and Earth System Sciences 21(11), pp. 5603–5626. doi: 10.5194/hess-21-5603-2017.

Duden, A. S., P. A. Verweij, H. M. Junginger, R. C. Abt, J. D. Henderson, V. H. Dale, K. L. Kline, D. Karssenberg, J. A. Verstegen, A. P. Faaij, and F. van der Hilst (2017). “Modeling the impacts of wood pellet demand on forest dynamics in southeastern United States”. In: Biofuels, Bioproducts and Biorefining 11(6), pp. 1007–1029. doi: 10.1002/bbb.1803.

Graaf, I. E. de, R. L. van Beek, T. Gleeson, N. Moosdorf, O. Schmitz, E. H. Sutanudjaja, and M. F. Bierkens (2017). “A global-scale two-layer transient groundwater model: Development and application to groundwater depletion”. In: Advances in Water Resources 102, pp. 53–67. doi: 10.1016/j.advwatres.2017.01.011.

Karssenberg, D., M. F. P. Bierkens, and M. Rietkerk (2017). “Catastrophic shifts in semiarid vegetation-soil systems may unfold rapidly or slowly”. In: American Naturalist 190(6), E145–E155. doi: 10.1086/694413.

López, P. L., E. H. Sutanudjaja, J. Schellekens, G. Sterk, and M. F. Bierkens (2017). “Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products”. In: Hydrology and Earth System Sciences 21(6), pp. 3125–3144. doi: 10.5194/hess-21-3125-2017.

Lu, M., E. Hamunyela, J. Verbesselt, and E. Pebesma (2017). “Dimension reduction of multi-spectral satellite image time series to improve deforestation monitoring”. In: Remote Sensing 9(10). doi: 10.3390/rs9101025.

Samaniego, L., R. Kumar, S. Thober, O. Rakovec, M. Zink, N. Wanders, S. Eisner, H. Müller Schmied, E. Sutanudjaja, K. Warrach-Sagi, and S. Attinger (2017). “Toward seamless hydrologic predictions across spatial scales”. In: Hydrology and Earth System Sciences 21(9), pp. 4323–4346. doi: 10.5194/hess-21-4323-2017.

Strak, M., N. Janssen, R. Beelen, O. Schmitz, D. Karssenberg, D. Houthuijs, C. van den Brink, M. Dijst, B. Brunekreef, and G. Hoek (2017). “Associations between lifestyle and air pollution exposure: Potential for confounding in large administrative data cohorts”. In: Environmental Research 156, pp. 364–373. doi: 10.1016/j.envres.2017.03.050.

Strak, M., N. Janssen, R. Beelen, O. Schmitz, I. Vaartjes, D. Karssenberg, C. van den Brink, M. L. Bots, M. Dijst, B. Brunekreef, and G. Hoek (2017). “Long-term exposure to particulate matter, NO2 and the oxidative potential of particulates and diabetes prevalence in a large national health survey”. In: Environment International 108, pp. 228–236. doi: 10.1016/j.envint.2017.08.017.

Tangdamrongsub, N., S. C. Steele-Dunne, B. C. Gunter, P. G. Ditmar, E. H. Sutanudjaja, Y. Sun, T. Xia, and Z. Wang (2017). “Improving estimates of water resources in a semi-arid region by assimilating GRACE data into the PCR-GLOBWB hydrological model”. In: Hydrology and Earth System Sciences 21(4), pp. 2053–2074. doi: 10.5194/hess-21-2053-2017.

Verstegen, J. A., J. G. G. Jonker, D. Karssenberg, F. van der Hilst, O. Schmitz, S. M. de Jong, and A. P. Faaij (2017). “How a Pareto frontier complements scenario projections in land use change impact assessment”. In: Environmental Modelling and Software 97, pp. 287–302. doi: 10.1016/j.envsoft.2017.08.006.

Bingham, L., A. Escalona, and D. Karssenberg (2016). “Error propagation in a fuzzy logic multi-criteria evaluation for petroleum exploration”. In: International Journal of Geographical Information Science 30(8), pp. 1552–1578. doi: 10.1080/13658816.2016.1142547.

Huijgevoort, M. van, D. Tetzlaff, E. Sutanudjaja, and C. Soulsby (2016a). “Using high resolution tracer data to constrain water storage, flux and age estimates in a spatially distributed rainfall-runoff model”. In: Hydrological Processes 30(25), pp. 4761–4778. doi: 10.1002/hyp.10902.

Huijgevoort, M. van, D. Tetzlaff, E. Sutanudjaja, and C. Soulsby (2016b). “Visualization of spatial patterns of connectivity and runoff ages derived from a tracer-aided model”. In: Hydrological Processes 30(25), pp. 4893–4895. doi: 10.1002/hyp.10961.

López López, P., N. Wanders, J. Schellekens, L. J. Renzullo, E. H. Sutanudjaja, and M. F. P. Bierkens (2016). “Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations”. In: Hydrology and Earth System Sciences 20(7), pp. 3059–3076. doi: 10.5194/hess-20-3059-2016.

Schmitz, O., J.-L. de Kok, and D. Karssenberg (2016). “A software framework for process flow execution of stochastic multi-scale integrated models”. In: Ecological Informatics 32, pp. 124–133. doi: 10.1016/j.ecoinf.2016.01.009.

Tangdamrongsub, N., P. Ditmar, S. Steele-Dunne, B. Gunter, and E. Sutanudjaja (2016). “Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models”. In: Remote Sensing of Environment 181, pp. 162–173. doi: 10.1016/j.rse.2016.03.030.

Verstegen, J. A., F. van der Hilst, G. Woltjer, D. Karssenberg, S. M. de Jong, and A. P. C. Faaij (2016). “What can and can’t we say about indirect land-use change in Brazil using an integrated economic - land-use change model?”. In: GCB Bioenergy 8(3), pp. 561–578. doi: 10.1111/gcbb.12270.

Verstegen, J. A., D. Karssenberg, F. van der Hilst, and A. P. Faaij (2016). “Detecting systemic change in a land use system by Bayesian data assimilation”. In: Environmental Modelling and Software 75, pp. 424–438. doi: 10.1016/j.envsoft.2015.02.013.

Bierkens, M. F. P., V. A. Bell, P. Burek, N. Chaney, L. E. Condon, C. H. David, A. de Roo, P. Döll, N. Drost, J. S. Famiglietti, M. Flörke, D. J. Gochis, P. Houser, R. Hut, J. Keune, S. Kollet, R. M. Maxwell, J. T. Reager, L. Samaniego, E. Sudicky, E. H. Sutanudjaja, N. van de Giesen, H. Winsemius, and E. F. Wood (2015). “Hyper-resolution global hydrological modelling: What is next?: "Everywhere and locally relevant" M. F. P. Bierkens et al. Invited Commentary”. In: Hydrological Processes 29(2), pp. 310–320. doi: 10.1002/hyp.10391.

De Graaf, I., E. Sutanudjaja, L. Van Beek, and M. Bierkens (2015). “A high-resolution global-scale groundwater model”. In: Hydrology and Earth System Sciences 19(2), pp. 823–837. doi: 10.5194/hess-19-823-2015.

Temme, A. J., M. Keiler, D. Karssenberg, and A. Lang (2015). “Complexity and non-linearity in earth surface processes - concepts, methods and applications”. In: Earth Surface Processes and Landforms 40(9), pp. 1270–1274. doi: 10.1002/esp.3712.

Wicke, B., F. van der Hilst, V. Daioglou, M. Banse, T. Beringer, S. Gerssen-Gondelach, S. Heijnen, D. Karssenberg, D. Laborde, M. Lippe, H. van Meijl, A. Nassar, J. Powell, A. G. Prins, S. N. K. Rose, E. M. W. Smeets, E. Stehfest, W. E. Tyner, J. A. Verstegen, H. Valin, D. P. van Vuuren, S. Yeh, and A. P. C. Faaij (2015). “Model collaboration for the improved assessment of biomass supply, demand, and impacts”. In: GCB Bioenergy 7(3), pp. 422–437. doi: 10.1111/gcbb.12176.

Abels, H. A., C. Wang, V. Lauretano, G. J. Bowen, D. Karssenberg, M. Ziegler, G. Li, P. F. Van Den Berg, S. Van Broekhuizen, T. Hopman, J. Laks, R. Adriaens, W. C. Clyde, J. Elsen, M. J. Kraus, A. Sluijs, N. Vandenberghe, L. J. Lourens, and P. D. Gingerich (2014). “Terrestrial sedimentary archives of episodes of greenhouse warming in ancient river floodplain deposits of the Bighorn Basin, Wyoming”. In: Rendiconti Online Societa Geologica Italiana 31, pp. 3–4. doi: 10.3301/ROL.2014.16.

Schmitz, O., E. Salvadore, L. Poelmans, J. Van Der Kwast, and D. Karssenberg (2014). “A framework to resolve spatio-temporal misalignment in component-based modelling”. In: Journal of Hydroinformatics 16(4), pp. 850–871. doi: 10.2166/hydro.2013.180.

Siteur, K., M. B. Eppinga, D. Karssenberg, M. Baudena, M. F. Bierkens, and M. Rietkerk (2014). “How will increases in rainfall intensity affect semiarid ecosystems?”. In: Water Resources Research 50(7), pp. 5980–6001. doi: 10.1002/2013WR014955.

Sutanudjaja, E., L. Van Beek, S. De Jong, F. Van Geer, and M. Bierkens (2014). “Calibrating a large-extent high-resolution coupled groundwater-land surface model using soil moisture and discharge data”. In: Water Resources Research 50(1), pp. 687–705. doi: 10.1002/2013WR013807.

Vannametee, E., L. Babel, M. Hendriks, J. Schuur, S. de Jong, M. Bierkens, and D. Karssenberg (2014). “Semi-automated mapping of landforms using multiple point geostatistics”. In: Geomorphology 221, pp. 298–319. doi: 10.1016/j.geomorph.2014.05.032.

Verstegen, J. A., D. Karssenberg, F. van der Hilst, and A. P. Faaij (2014). “Identifying a land use change cellular automaton by Bayesian data assimilation”. In: Environmental Modelling and Software 53, pp. 121–136. doi: 10.1016/j.envsoft.2013.11.009.

Wanders, N., M. Bierkens, S. de Jong, A. de Roo, and D. Karssenberg (2014). “The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological modelss”. In: Water Resources Research 50(8), pp. 6874–6891. doi: 10.1002/2013WR014639.

Wanders, N., D. Karssenberg, A. De Roo, S. De Jong, and M. Bierkens (2014). “The suitability of remotely sensed soil moisture for improving operational flood forecasting”. In: Hydrology and Earth System Sciences 18(6), pp. 2343–2357. doi: 10.5194/hess-18-2343-2014.

Lana-Renault, N. and D. Karssenberg (2013). “PyCatch: Component based hydrological catchment modelling; [PyCatch: Modelización hidrológica a escala de cuenca con una estructura basada en componentes]”. In: Cuadernos de Investigacion Geografica 39(2), pp. 315–333. doi: 10.18172/cig.1993.

Schmitz, O., D. Karssenberg, K. de Jong, J.-L. de Kok, and S. M. de Jong (2013). “Map algebra and model algebra for integrated model building”. In: Environmental Modelling and Software 48, pp. 113–128. doi: 10.1016/j.envsoft.2013.06.009.

Soomers, H., D. Karssenberg, M. B. Soons, P. A. Verweij, J. T. A. Verhoeven, and M. J. Wassen (2013). “Wind and Water Dispersal of Wetland Plants Across Fragmented Landscapes”. In: Ecosystems 16(3), pp. 434–451. doi: 10.1007/s10021-012-9619-y.

Soomers, H., D. Karssenberg, J. T. Verhoeven, P. A. Verweij, and M. J. Wassen (2013). “The effect of habitat fragmentation and abiotic factors on fen plant occurrence”. In: Biodiversity and Conservation 22(2), pp. 405–424. doi: 10.1007/s10531-012-0420-1.

Sutanudjaja, E., S. De Jong, F. Van Geer, and M. Bierkens (2013). “Using ERS spaceborne microwave soil moisture observations to predict groundwater head in space and time”. In: Remote Sensing of Environment 138, pp. 172–188. doi: 10.1016/j.rse.2013.07.022.

Vannametee, E., D. Karssenberg, M. Hendriks, and M. Bierkens (2013). “Hortonian runoff closure relations for geomorphologic response units: Evaluation against field data”. In: Hydrology and Earth System Sciences 17(7), pp. 2981–3004. doi: 10.5194/hess-17-2981-2013.

Hiemstra, P. H., D. Karssenberg, A. van Dijk, and S. M. de Jong (2012). “Using the particle filter for nuclear decision support”. In: Environmental Modelling and Software 37, pp. 78–89. doi: 10.1016/j.envsoft.2012.03.003.

Van der Hilst, F., J. A. Verstegen, D. Karssenberg, and A. P. C. Faaij (2012). “Spatiotemporal land use modelling to assess land availability for energy crops - illustrated for Mozambique”. In: GCB Bioenergy 4(6), pp. 859–874. doi: 10.1111/j.1757-1707.2011.01147.x.

Vannametee, E., D. Karssenberg, and M. Bierkens (2012). “Towards closure relations in the Representative Elementary Watershed (REW) framework containing observable parameters: Relations for Hortonian overland flow”. In: Advances in Water Resources 43, pp. 52–66. doi: 10.1016/j.advwatres.2012.03.029.

Verstegen, J. A., D. Karssenberg, F. Van der Hilst, and A. Faaij (2012). “Spatio-temporal uncertainty in Spatial Decision Support Systems: A case study of changing land availability for bioenergy crops in Mozambique”. In: Computers, Environment and Urban Systems 36(1), pp. 30–42. doi: 10.1016/j.compenvurbsys.2011.08.003.

Wanders, N., D. Karssenberg, M. Bierkens, R. Parinussa, R. de Jeu, J. van Dam, and S. de Jong (2012). “Observation uncertainty of satellite soil moisture products determined with physically-based modeling”. In: Remote Sensing of Environment 127, pp. 341–356. doi: 10.1016/j.rse.2012.09.004.

Youssef, F., S. Visser, D. Karssenberg, A. Bruggeman, and G. Erpul (2012). “Calibration of RWEQ in a patchy landscape; a first step towards a regional scale wind erosion model”. In: Aeolian Research 3(4), pp. 467–476. doi: 10.1016/j.aeolia.2011.03.009.

Youssef, F., S. M. Visser, D. Karssenberg, G. Erpul, W. M. Cornelis, D. Gabriels, and A. Poortinga (2012). “The effect of vegetation patterns on wind-blown mass transport at the regional scale: A wind tunnel experiment”. In: Geomorphology 159-160, pp. 178–188. doi: 10.1016/j.geomorph.2012.03.023.

Arieira, J., D. Karssenberg, S. De Jong, E. Addink, E. Couto, C. Nunes Da Cunha, and J. Skøien (2011). “Integrating field sampling, geostatistics and remote sensing to map wetland vegetation in the Pantanal, Brazil”. In: Biogeosciences 8(3), pp. 667–686. doi: 10.5194/bg-8-667-2011.

Hiemstra, P. H., D. Karssenberg, and A. van Dijk (2011). “Assimilation of observations of radiation level into an atmospheric transport model: A case study with the particle filter and the ETEX tracer dataset”. In: Atmospheric Environment 45(34), pp. 6149–6157. doi: 10.1016/j.atmosenv.2011.08.024.

Lam, A., D. Karssenberg, B. M. Van Den Hurk, and M. Bierkens (2011). “Spatial and temporal connections in groundwater contribution to evaporation”. In: Hydrology and Earth System Sciences 15(8), pp. 2621–2630. doi: 10.5194/hess-15-2621-2011.

Lana-Renault, N., J. Latron, D. Karssenberg, P. Serrano-Muela, D. Regüés, and M. Bierkens (2011). “Differences in stream flow in relation to changes in land cover: A comparative study in two sub-Mediterranean mountain catchments”. In: Journal of Hydrology 411(3-4), pp. 366–378. doi: 10.1016/j.jhydrol.2011.10.020.

Sutanudjaja, E., L. Van Beek, S. De Jong, F. Van Geer, and M. Bierkens (2011). “Large-scale groundwater modeling using global datasets: A test case for the Rhine-Meuse basin”. In: Hydrology and Earth System Sciences 15(9), pp. 2913–2935. doi: 10.5194/hess-15-2913-2011.

Van Asselen, S., D. Karssenberg, and E. Stouthamer (2011). “Contribution of peat compaction to relative sea-level rise within Holocene deltas”. In: Geophysical Research Letters 38(24). doi: 10.1029/2011GL049835.

Brolsma, R., D. Karssenberg, and M. Bierkens (2010a). “Vegetation competition model for water and light limitation. I: Model description, one-dimensional competition and the influence of groundwater”. In: Nederlandse Geografische Studies (396), pp. 43–69.

Brolsma, R., D. Karssenberg, and M. Bierkens (2010b). “Vegetation competition model for water and light limitation. I: Model description, one-dimensional competition and the influence of groundwater”. In: Ecological Modelling 221(10), pp. 1348–1363. doi: 10.1016/j.ecolmodel.2010.02.012.

Karssenberg, D., O. Schmitz, P. Salamon, K. de Jong, and M. F. Bierkens (2010). “A software framework for construction of process-based stochastic spatio-temporal models and data assimilation”. In: Environmental Modelling and Software 25(4), pp. 489–502. doi: 10.1016/j.envsoft.2009.10.004.

Van Asselen, S., D. Karssenberg, and E. Stouthamer (2010). “Holocene peat compaction in fluvial lowlands: Implications to subsidence within deltas”. In: Nederlandse Geografische Studies (395), pp. 111–178.

Schmitz, O., D. Karssenberg, W. van Deursen, and C. Wesseling (2009). “Linking external components to a spatio-temporal modelling framework: Coupling MODFLOW and PCRaster”. In: Environmental Modelling and Software 24(9), pp. 1088–1099. doi: 10.1016/j.envsoft.2009.02.018.

Van Der Kwast, J., W. Timmermans, A. Gieske, Z. Su, A. Olioso, L. Jia, J. Elbers, D. Karssenberg, and S. De Jong (2009). “Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain)”. In: Hydrology and Earth System Sciences 13(7), pp. 1337–1347. doi: 10.5194/hess-13-1337-2009.

Karssenberg, D. and J. S. Bridge (2008). “A three-dimensional numerical model of sediment transport, erosion and deposition within a network of channel belts, floodplain and hill slope: Extrinsic and intrinsic controls on floodplain dynamics and alluvial architecture”. In: Sedimentology 55(6), pp. 1717–1745. doi: 10.1111/j.1365-3091.2008.00965.x.

Karssenberg, D., K. de Jong, and J. van der Kwast (2007). “Modelling landscape dynamics with Python”. In: International Journal of Geographical Information Science 21(5), pp. 483–495. doi: 10.1080/13658810601063936.

Pebesma, E. J., K. de Jong, and D. Briggs (2007). “Interactive visualization of uncertain spatial and spatio-temporal data under different scenarios: An air quality example”. In: International Journal of Geographical Information Science 21(5), pp. 515–527. doi: 10.1080/13658810601064009.

Rebel, K. T., S. J. Riha, D. Karssenberg, and J. R. Stedinger (2007). “Simulating tritium fluxes in the vadose zone under transient saturated conditions”. In: Vadose Zone Journal 6(2), pp. 387–396. doi: 10.2136/vzj2005.0113.

Thonon, I., K. de Jong, M. van der Perk, and H. Middelkoop (2007). “Modelling floodplain sedimentation using particle tracking”. In: Hydrological Processes 21(11), pp. 1402–1412. doi: 10.1002/hyp.6296.

Hefting, M., B. Beltman, D. Karssenberg, K. Rebel, M. Van Riessen, and M. Spijker (2006). “Water quality dynamics and hydrology in nitrate loaded riparian zones in the Netherlands”. In: Environmental Pollution 139(1), pp. 143–156. doi: 10.1016/j.envpol.2005.04.023.

Karssenberg, D. (2006). “Upscaling of saturated conductivity for Hortonian runoff modelling”. In: Advances in Water Resources 29(5), pp. 735–759. doi: 10.1016/j.advwatres.2005.06.012.

Karssenberg, D. and K. De Jong (2005a). “Dynamic environmental modelling in GIS: 1. Modelling in three spatial dimensions”. In: International Journal of Geographical Information Science 19(5), pp. 559–579. doi: 10.1080/13658810500032362.

Karssenberg, D. and K. De Jong (2005b). “Dynamic environmental modelling in GIS: 2. Modelling error propagation”. In: International Journal of Geographical Information Science 19(6), pp. 623–637. doi: 10.1080/13658810500104799.

Visser, S., G. Sterk, and D. Karssenberg (2005). “Wind erosion modelling in a Sahelian environment”. In: Environmental Modelling and Software 20(1), pp. 69–84. doi: 10.1016/j.envsoft.2003.12.010.

Visser, S. M., G. Sterk, and D. Karssenberg (2005). “Modelling water erosion in the Sahel: Application of a physically based soil erosion model in a gentle sloping environment”. In: Earth Surface Processes and Landforms 30(12), pp. 1547–1566. doi: 10.1002/esp.1212.

Thonon, I., K. De Jong, M. Van Der Perk, and H. Middelkoop (2004). “A particle tracking method to simulate sediment transfer over flood plains”. In: IAHS-AISH Publication (288), pp. 404–409.

Verburg, P. H., T. C. de Nijs, J. R. van Eck, H. Visser, and K. de Jong (2004). “A method to analyse neighbourhood characteristics of land use patterns”. In: Computers, Environment and Urban Systems 28(6), pp. 667–690. doi: 10.1016/j.compenvurbsys.2003.07.001.

Karssenberg, D. (2002a). “Building dynamic spatial environmental models”. In: Nederlandse Geografische Studies (305), pp. 1–217.

Karssenberg, D. (2002b). “The value of environmental modelling languages for building distributed hydrological models”. In: Hydrological Processes 16(14), pp. 2751–2766. doi: 10.1002/hyp.1068.

Brama, P., A. Barneveld, D. Karssenberg, G. Van Kampen, and P. Van Weeren (2001). “The Application of an Indenter System to Measure Structural Properties of Articular Cartilage in the Horse. Suitability of the Instrument and Correlation with Biochemical Data”. In: Journal of Veterinary Medicine Series A: Physiology Pathology Clinical Medicine 48(4), pp. 213–221. doi: 10.1046/j.1439-0442.2001.00353.x.

Brama, P., D. Karssenberg, A. Barneveld, and P. Van Weeren (2001). “Contact areas and pressure distribution on the proximal articular surface of the proximal phalanx under sagittal plane loading”. In: Equine Veterinary Journal 33(1), pp. 26–32. doi: 10.2746/042516401776767377.

Karssenberg, D., T. E. Törnqvist, and J. S. Bridge (2001). “Conditioning a process-based model of sedimentary architecture to well data”. In: Journal of Sedimentary Research 71(6), pp. 868–879. doi: 10.1306/051501710868.

Brama, P., J. Tekoppele, R. Bank, D. Karssenberg, A. Barneveld, and P. Van Weeren (2000). “Topographical mapping of biochemical properties of articular cartilage in the equine fetlock joint”. In: Equine Veterinary Journal 32(1), pp. 19–26. doi: 10.2746/042516400777612062.

Van Der Perk, M., V. Jetten, D. Karssenberg, Q. He, D. Walling, G. Laptev, O. Voitsekhovitch, A. Svetlichnyi, O. Slavik, V. Linnik, E. Korobova, S. Kivva, and M. Zheleznyak (2000). “Assessment of spatial redistribution of Chernobyl-derived radiocaesium within catchments using GIS-embedded models”. In: IAHS-AISH Publication (263), pp. 277–284.

Wesseling, C. G., D.-J. Karssenberg, P. A. Burrough, and W. P. A. Van Deursen (1996). “Integrating dynamic environmental models in GIS: The development of a dynamic modelling language”. In: Transactions in GIS 1(1), pp. 40–48. doi: 10.1111/j.1467-9671.1996.tb00032.x.

Hu, M., M. Lu, and S. Ji (2021). “Cascaded Deep Neural Networks for Predicting Biases Between Building Polygons in Vector Maps and New Remote Sensing Images”. In: pp. 4051–4054. doi: 10.1109/IGARSS47720.2021.9554942.

Lu, M., L. Groeneveld, D. Karssenberg, S. Ji, R. Jentink, E. Paree, and E. Addink (2021). “Geomorphological mapping of intertidal areas”. In: vol. 43. B3-2021, pp. 75–80. doi: 10.5194/isprs-archives-XLIII-B3-2021-75-2021.

Drost, N., R. Hut, M. Van Meersbergen, E. Sutanudjaja, M. Bierkens, and N. Van De Giesen (2017). “The eWaterCycle project”. In: p. 430. doi: 10.1109/eScience.2016.7870930.

Erkens, G. and E. Sutanudjaja (2015). “Towards a global land subsidence map”. In: vol. 372, pp. 83–87. doi: 10.5194/piahs-372-83-2015.

De Jong, K., M. De Bakker, and D. Karssenberg (2014). “An environmental modeling language for agents and fields”. In: vol. 2, pp. 832–839.

Karssenberg, D. (2014). “Slow or rapid collapse? Transients between stable states as a source of uncertainty in predicting ecosystem shifts”. In: vol. 1, pp. 588–594.

Cockx, K., T. Van De Voorde, F. Canters, L. Poelmans, I. Uljee, G. Engelen, K. De Jong, D. Karssenberg, and J. Van Der Kwast (2013). “Incorporating land-use mapping uncertainty in remote sensing based calibration of land-use change models”. In: vol. 40. 2W1, pp. 7–12. doi: 10.5194/isprsarchives-xl-2-w1-7-2013.

Schmitz, O., D. Karssenberg, and J.-L. De Kok (2012). “Towards integrated model building with semantically annotated components”. In: pp. 2403–2412.

Sutanudjaja, E. H., L. P. Van Beek, S. M. De Jong, F. C. Van Geer, and M. F. Bierkens (2012). “Calibrating a large-scale groundwater model using spaceborne remote sensing products: A test-case for the Rhine-Meuse basin”. In: vol. 355, pp. 54–61.

Van Der Kwast, J., L. Poelmans, T. Van De Voorde, K. De Jong, I. Uljee, D. Karssenberg, F. Canters, and G. Engelen (2012). “Uncertainty analysis and data-assimilation of remote sensing data for the calibration of cellular automata based land-use models”. In: pp. 997–1004.

Van Der Kwast, J., F. Canters, D. Karssenberg, G. Engelen, T. Van De Voorde, I. Uljee, and K. De Jong (2011). “Remote sensing data assimilation in modeling urban dynamics: Objectives and methodology”. In: vol. 7, pp. 140–145. doi: 10.1016/j.proenv.2011.07.025.

Salamon, P., D. Karssenberg, and O. Schmitz (2009). “Assimilating remotely sensed and other measured data types to improve predictive capabilities of distributed hydrological models using particle filtering”. In: pp. 591–594.

Pebesma, E. J., D. Karssenberg, and K. De Jong (2006). “Dynamic visualisation of spatial and spatio-temporal probability distribution functions”. In: pp. 825–831.

Marra, W. A., L. van de Grint, K. Alberti, and D. Karssenberg (2017). “Using GIS in an Earth Sciences field course for quantitative exploration, data management and digital mapping”. In: Journal of Geography in Higher Education 41(2), pp. 213–229. doi: 10.1080/03098265.2017.1291587.

Karssenberg, D., P. Burrough, R. Sluiter, and K. de Jong (2001). “Review PCRaster software and course materials for teaching numerical modelling in the environmental sciences”. In: Transactions in GIS 5(2), pp. 99–110. doi: 10.1111/1467-9671.00070.

Mariethoz, G., D. Karssenberg, and D. Grana (2018). “Who cares about impact factor?”. In: Computers and Geosciences 115, pp. iii–iv. doi: 10.1016/S0098-3004(18)30374-1.

Giupponi, C., Jakeman, A.J., Karssenberg, D. and Hare, M.P. (Eds.) (2006), Sustainable management of water resources: an integrated approach (Cheltenham: Elgar).

Giupponi, C., Jakeman, A. J., Karssenberg, D., Hare, M. P., Fassio, A., & Letcher, R. A. (2006). Integrated Management of Water Resources: Concepts, Approaches and Challenges. In C. Giupponi, A. J. Jakeman, D. Karssenberg, & M. P. Hare (Eds.), Sustainable management of water resources: an integrated approach (pp. 3–24). Cheltenham: Elgar.

Karssenberg, D., Pfeffer, K., & Visssers, M. (2006). Software tools for hydrological modelling. In C. Giupponi, A. J. Jakeman, D. Karssenberg, & M. P. Hare (Eds.), Sustainable management of water resources: an integrated approach (pp. 235–262). Cheltenham: Elgar.

Karssenberg, D., & De Jong, K. (2006). Towards improved solution schemes for Monte Carlo simulation in environmental modeling languages. In P. J. M. Oosterom & M. J. Kreveld (Eds.), Geo-information and computational geometry. Delft: NCG Nederlandse Commissie voor Geodesie, Netherlands Geodetic Commission.

Burrough, P. A., Karssenberg, D., & van Deursen, W. P. A. (2005). Environmental Modelling with PCRaster. (D. J. Maguire, M. F. Goodchild, & M. Batty, Eds.), GIS, Spatial Analysis and Modeling. Redlands, California: ESRI.

Parker, D. C. (2005). Integration of geographic information systems and agent-based models of land use: prospects and challenges. In D. J. Maguire, M. F. Goodchild, & M. Batty (Eds.), GIS, Spatial Analysis and Modeling (pp. 320–341). Redlands, California: ESRI.

Hefting, M. M., Beltman, B., Karssenberg, D., Rebel, K., van Riessen, M., & Spijker, M. (2003). Water quality dynamics and hydrology in riparian zones in the Netherlands. In Nitrogen transformation and retention in riparian buffer zones. PhD thesis, Utrecht: Universiteit Utrecht.

Pfeffer, K., & Karssenberg, D. (2002). Hydrological model. In K. Pfeffer (Ed.), Integrating spatio-temporal environmnetal models for planning ski-runs. Utrecht: Knag/Faculteit Ruimtelijke Wetenschappen Universiteit Utrecht.

Van Dijck, S. J. E., & Karssenberg, D. (2000). Surface runoff. In S. J. E. Van Dijck (Ed.), Effects of agricultural land use on surface runoff and erosion in a Mediterranean area. Utrecht: Koninklijk Nederlands Aardrijkskundig Genootschap/Faculteit Ruimtelijke Wetenschappen, Universiteit Utrecht.

Kor de Jong, A modelling framework for simulating large geographical systems of agents and fields (2022), with Prof. Dr. M.J. van Kreveld and Dr. D. Panja. https://doi.org/10.33540/1127

Lisa Jean Watson, Spatial modeling for petroleum exploration, with Prof. Dr S.M. de Jong and Dr. Menno Straatsma.

Judith Verstegen, Quantifying and reducing uncertainty in land use change model projections. Case studies on the implications of increasing bioenergy demands. With Prof. Dr. A. Faaij, Prof. Dr. S.M. de Jong, and Dr. F. van der Hilst.

Niko Wanders, Improving near real-time flood forecasting using multi-sensor soil moisture assessment (NWO-SRON/GO), together with Prof Dr S. de Jong, Dr A.P.J. de Roo (EC-JRC) & Prof. Dr. M.F.P. Bierkens.

Ekkamol Vannametee, Hydrograph prediction in ungauged basins: development of the closure relation for Hortonian runoff (2014), with Prof. Dr. M.F.P. Bierkens, Prof. Dr. S.M. de Jong and Dr. M.R. Hendriks.

Oliver Schmitz, Integrating environmental component models: development of a software framework (2014). Oliver is at the Faculty of Geosciences, Utrecht University, the Netherlands.

Feras Youssef, Effect of vegetation cover and transitions on regional wind erosion in drylands (2012).

Hans van der Kwast, Quantification of top soil moisture patterns : Evaluation of field methods, process-based modelling, remote sensing and an integrated approach (2009).

Paul Hiemstra, Ensemble modeling and statistical mapping of airborne radioactivity (2011).

Julia Arieira Couto, Spatial Variability of Vegetation in Response to the Edaphical, Hydrological and Topographical Conditions in North Pantanal, Mato Grosso (Brazil) (2010).

Karssenberg, D. (2002). Building dynamic spatial environmental models

Marra, W., Karssenberg, D. 2018. PCRaster distance learning course material: Data Pre-Processing with GDAL. 10 pp.

Karssenberg, D., 2015, PCRaster distance learning course material: An introduction to dynamic modelling. Appr. 50 pp, Utrecht University.

Karssenberg, D., 2015, PCRaster distance learning course material: Map algebra and environmental modelling. Appr. 50 pp., Utrecht University.

Karssenberg, D. and de Jong, K., 2015, PCRaster distance learning course material: Stochastic environmental modelling. Appr. 20 pp.

Schmitz, O., Karssenberg, D. and de Vries, L.M., 2009, Framework for spatio-temporal stochastic modelling, data assimilation and model calibration, appr. 40 pp.

Schmitz, O. and Karssenberg, D., 2008, An introduction to groundwater and surfacewater modelling.

Karssenberg, D., Pebesma, E.J., van der Meer, M. and Burrough, P.A., 2003, PCRaster en Gstat distance learning course material: An introduction to interpolation and geostatistical Modelling. Appr. 30 pp., Utrecht University.

Karssenberg, D., Wesseling, C.G. and van Deursen, W.P.A., 2003, PCRaster, manual, Utrecht: Utrecht University.

Sluiter, R., Burrough, P.A., Karssenberg, D., Lucieer, A., Wesseling, C.G., de Jong, K., van Asch, T.W.J., van Steijn, H., Cadee, M., de Boer, R.J., van Deursen, W.P.A. and Hendriks, M.R., 2000, Virtual Landscapes, interactive models for learning about geographical change. Appr. 50 pp. Utrecht University.

Marra, W., Alberti, K., Karssenberg, D., 2017. Gebruik van GIS verrijkt eerstejaars veldwerk. Geografie, February 2017 (in Dutch).

de Jong, S.M., Hiemstra, P., Karssenberg, D., Twenhofel, C. 2013, Veilig leven met stralingsrisico's. Geografie, May 2013 (in Dutch).