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Stien Heremans

Stien Heremans

PhD, Researcher remote sensing

 https://orcid.org/0000-0002-5356-1093

  • Herman Teirlinckgebouw, Havenlaan 88 bus 73

    1000 Brussel

    Belgium

20142026

Research activity per year

Personal profile

Research expertise

Stien Heremans researches the use of remote sensing and machine learning models for deriving information on land use, ecosystem composition and functioning. We focus on information that can be implmented for monitoring and evaluating environmental policy in Flanders. A broad range of imagery can be used, from drones to satellite images. Also, the techniques for transforming these images to useful information are diverse, ranging from mechanistic models over statistical relations to non-parametric machine learning models.

Education/Academic qualification

Applied biological sciences, PhD, Machine learning methods for crop area and crop yield assessments from time series of low resolution remotely sensed imagery, KU Leuven

Award Date: 15-Dec-2015

Earth Observation, master, KU Leuven

Award Date: 30-Jun-2009

Bio-engineer, master, KU Leuven

Award Date: 30-Jun-2007

External positions

Postdoctoral researcher, KU Leuven

1-Apr-2020 → …

Thematic List 2020

  • Protected nature

VODS 2023

  • Environmental monitoring
  • Conservation and biodiversity
  • Agricultural plant breeding and biotechnology

Policy

  • local conservation status
  • Natura 2000
  • ecosystem services

Technological

  • image analysis
  • detection technology
  • modelling

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Collaborations and top research areas from the last five years

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  • ChromaFormer: A Scalable and Accurate Transformer Architecture for Land Cover Classification

    Li, M., Grujicic, D., Somers, B., Heremans, S., De Saeger, S. & Blaschko, M., May-2026, In: Transactions on Machine Learning Research. 2026

    Research output: Contribution to journal › A2: Article in a journal with peer review, not included in A1 › peer-review

    Open Access
    File
    29 Downloads (Pure)

  • deadtrees.earth — An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics

    Mosig, C., Vajna-Jehle, J., Mahecha, M. D., Cheng, Y., Hartmann, H., Montero, D., Junttila, S., Horion, S., Schwenke, M. B., Koontz, M. J., Maulud, K. N. A., Adu-Bredu, S., Al-Halbouni, D., Ali, M., Allen, M., Altman, J., Amorós, L., Angiolini, C., Astrup, R. & Awada, H. & 186 others, Barrasso, C., Bartholomeus, H., Beck, P. S. A., Bozzini, A., Braun-Wimmer, J., Brede, B., Breunig, F. M., Brugnaro, S., Buras, A., Burchard-Levine, V., Camarero, J. J., Candotti, A., Capuder, L., Carrieri, E., Centritto, M., Chirici, G., Cloutier, M., Conciani, D., Cushman, K., Dalling, J. W., Dao, P. D., Dempewolf, J., Denter, M., Dogotari, M., Díaz-Delgado, R., Ecke, S., Eichel, J., Eltner, A., Fabbri, A., Fabi, M., Fassnacht, F., Ferreira, M. P., Fischer, F. J., Frey, J., Frick, A., Fuentes, J., Ganz, S., Garbarino, M., García, M., Gassilloud, M., Gazol, A., Gea-Izquierdo, G., Gerberding, K., Ghasemi, M., Giannetti, F., Gillan, J., Gonzalez, R., Gosper, C., Greene, T., Greinwald, K., Grieve, S., Große-Stoltenberg, A., Gutierrez, J. A., Göritz, A., Hajek, P., Hedding, D., Hempel, J., Heremans, S., Hernández, M., Heurich, M., Honkavaara, E., Höfle, B., Jackisch, R., Jucker, T., Kalwij, J. M., Kepfer-Rojas, S., Khatri-Chhetri, P., Kleinebecker, T., Klemmt, H.-J., Klouček, T., Koivumäki, N., Kolagani, N., Komárek, J., Korznikov, K., Kraszewski, B., Kruse, S., Krüger, R., Kuechly, H., Kwong, I. H. Y., Laliberté, E., Langan, L., Latifi, H., Leal-Medina, C., Lehmann, J. R. K., Li, L., Lines, E., Lisiewicz, M., Lopatin, J., Lucieer, A., Ludwig, A., Ludwig, M., Lyytikäinen-Saarenmaa, P., Ma, Q., Mansuy, N., Peña, J. M., Marino, G., Maroschek, M., Martín, M. P., Martín-Benito, D., Matham, P., Mazzoni, S., Meloni, F., Menzel, A., Meyer, H., Miraki, M., Moreno, G., Moreno-Fernández, D., Muller-Landau, H. C., Mälicke, M., Möhring, J., Müllerova, J., Naidu, S. S., Nardi, D., Neumeier, P., Nita, M. D., Näsi, R., Oppgenoorth, L., Orunbaev, S., Palmer, M., Paul, T., Pfenning, M., Potts, A., Prasanna, G. L., Prober, S., Puliti, S., Pérez-Luque, A. J., Pérez-Priego, O., Reudenbach, C., Revuelto, J., Rivas-Torres, G., Roberge, P., Roggero, P. P., Rossi, C., Ruehr, N. K., Ruiz-Benito, P., Runge, C. M., Satta, G. G. A., Scanu, B., Scherer-Lorenzen, M., Schiefer, F., Schiller, C., Schladebach, J., Schmehl, M.-T., Schmid, J., Schmidt, T. A., Schwarz, S., Seidl, R., Seifert, T., Barba, A. S., Shafeian, E., Shapiro, A., de Simone, L., Sohrabi, H., Soltani, S., Sotomayor, L., Sparrow, B., Steer, B. S. C., Stenson, M., Stöckigt, B., Su, Y., Suomalainen, J., Tamudo, E., Barbieri, M. J. T., Tomelleri, E., Torresani, M., Trepekli, K., Ullah, S., Ullah, S., Umlauft, J., Vargas-Ramírez, N., Vatandaslar, C., Visacki, V., Volpi, M., Vásquez, V., Wallis, C., Weinstein, B., Weiser, H., Wich, S., Ximena, T. C., Zarco-Tejada, P. J., Zdunic, K., Zielewska-Büttner, K., de Oliveira, R. A., van Wagtendonk, L., von Dosky, V. & Kattenborn, T., 1-Jan-2026, In: Remote Sensing of Environment. 332

    Research output: Contribution to journal › A1: Web of Science-article › peer-review

    Open Access

  • Deep learning-based mapping of woody floral resources for wild bee habitat modelling

    Vanpoucke, K., Heremans, S., Schraal, W., Spanhove, T., Lhermitte, S. & Somers, B., 4-Jun-2026. 1 p.

    Research output: Contribution to conference › Poster

    Open Access
    File
    138 Downloads (Pure)

  • Deep Learning-Based Mapping of Woody Floral Resources for Wild Bee Habitat Modelling

    Vanpoucke, K., Heremans, S., Schraal, W., Spanhove, T., Lhermitte, S. & Somers, B., 4-Jun-2026. 7 p.

    Research output: Contribution to conference › Paper/Powerpoint/Abstract

    Open Access
    File
    151 Downloads (Pure)

  • Scalable Wetland Condition Monitoring With Harmonized Sentinel-2-Based Inundation Regime Indicators Across Europe

    Verbesselt, S., Heremans, S., Jussila, T., Ježek, V., Šibíková, M. & Heikkinen, R. K., 1-Jul-2026, p. 41-45. 5 p.

    Research output: Contribution to conference › Paper/Powerpoint/Abstract

    Open Access
    File
    111 Downloads (Pure)
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  • 6 Organisation and participation in conference, workshop, training, seminar, meeting
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