Dr. ir. J. (Joris) Timmermans PhD
Faculty of Science
Institute for Biodiversity and Ecosystem Dynamics
Visiting address
- Science Park 904
Postal address
- Postbus 94240
1090 GE Amsterdam
Contact details
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Publications
2022
Chen, Q., Timmermans, J., Wen, W., & van Bodegom, P. M. (2022). A multi-metric assessment of drought vulnerability across different vegetation types using high resolution remote sensing. Science of the Total Environment, 832, [154970]. https://doi.org/10.1016/j.scitotenv.2022.154970 [details]- Wen, W., Timmermans, J., Chen, Q., & van Bodegom, P. (2022). Monitoring the combined effects of drought and salinity stress on crops using remote sensing. Manuscript submitted for publication.
2021
- Hauser, L. T., Timmermans, J., van der Windt, N., Sil, Â. F., de Saa, N. C., Soudzilovskaia, N., & van Bodegom, P. M. (2021). Explaining discrepancies between spectral and in-situ plant diversity in multispectral satellite earth observation. Remote Sensing of the Environment, 265, [112684]. https://doi.org/10.1016/j.rse.2021.112684 [details]
- Hauser, L., Feret, J-B., An Binh, N., van der Windt, N., Timmermans, J., Soudzilovskaia, N., & van Bodegom, P. (2021). Towards scalable estimation of plant functional diversity from Sentinel-2: In-situ validation in a heterogeneous (semi-)natural landscape. Remote Sensing of the Environment, 262, [112505]. https://doi.org/10.1016/j.rse.2021.112505
- Timmermans, J., & Kissling, W. D. (2021). Scientific opportunities for developing essential biodiversity variables from satellite remote sensing in the context of the post-2020 global biodiversity framework. Manuscript in preparation.
- Wen, W., Timmermans, J., Chen, Q., & van Bodegom, P. M. (2021). A Review of Remote Sensing Challenges for Food Security with Respect to Salinity and Drought Threats. Remote Sensing, 13(1), [6]. https://doi.org/10.3390/rs13010006 [details]
2020
- Hauser, L., An Binh, N., Viet Hoa, P., Nguyen , H. Q., & Timmermans, J. (2020). Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization. Remote Sensing, 12(22), [3729]. https://doi.org/10.3390/rs12223729 [details]
2021
- Timmermans, J., & Kissling, W. D. (2021). Challenges and opportunities of remote sensing for monitoring biodiversity change. Abstract from Annual meeting of the European Geosciences Union.
- Timmermans, J., & Kissling, W. D. (2021). Opportunities for developing essential biodiversity variables from satellite remote sensing in the context of the post-2020 global biodiversity framework. Abstract from American Geophysical Union - Fall meeting, New Orleans, United States.
Membership
- Timmermans, J. (2020-2022). As part of the scientific advisory commission of NLBIF (the Dutch national node of GBIF) I am tasked to evaluate once a year (April/May) the (…), NL-BIF Foundation.
Journal editor
- Timmermans, J. (member of editorial board) (2021). Frontiers in Remote Sensing - multi--and-hyper-spectral-imaging# (Journal).
- Timmermans, J. (editor) & March, R. (editor) (2021). Remote Sensing (Journal).
Talk / presentation
- Timmermans, J. (speaker) & Kissling, D. (speaker) (21-5-2021). Towards a synergistic remote sensing workflow for monitoring (the impact of) Invasive Species, Lifewatch ERIC.
- Timmermans, J. (speaker) & Kissling, D. (speaker) (17-4-2021). Challenges and opportunities of remote sensing for monitoring biodiversity change, Conference of the European Geoscience Union, Vienna.
Others
- Timmermans, J. (participant) (30-3-2030). ARISE day, Leiden. ARISE is a large scale project (of the Naturalis Biodiversity Center, the University of Amsterdam, the Westerdijk Funal Biodiversity Institute and (…) (participating in a conference, workshop, ...).
2021
- Timmermans, J. (1-9-2021). MULTIPLY deployment Tool. Universiteit van Amsterdam. https://github.com/JorisTimmermans/Deploy_MULTIPLY
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Ancillary activities
No ancillary activities
Chen, Q., Timmermans, J., Wen, W., & van Bodegom, P. M. (2022). A multi-metric assessment of drought vulnerability across different vegetation types using high resolution remote sensing. Science of the Total Environment, 832, [154970].