Dr. Y. (Yifang) Shi
Assistant professor
Faculty of Science
Institute for Biodiversity and Ecosystem Dynamics
Visiting address
- Science Park 904
Postal address
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Postbus 94240
1090 GE Amsterdam
Contact details
Social media
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Profile
I am an Assistant Professor in Land Cover and Land Use Dynamics at the Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam. My work focuses on combining various Earth Observation datasets (e.g. satellite, LiDAR, and/or RADAR) with advanced spatio-temporal modelling, informatics, and artificial intelligence to gain new insights into the impact of land cover and land use change on biodiversity, ecosystem services, and animal habitats. Specifically, my research interests lie in 3D ecosystem structure features derived from LiDAR, species-specific traits derived from multi-source remote sensing data (e.g. hyperspectral, multispectral, LiDAR), and biodiversity monitoring using machine learning at a national or continental scale.
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Publications
2021
- Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Stefanie Holzwarth, Uta Heiden, and Marco Heurich. 2021. "Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest." International Journal of Applied Earth Observation and Geoinformation 98:102311. doi: https://doi.org/10.1016/j.jag.2021.102311.
2020
- Yifang Shi (2020). Remotely sensing the species of individual trees. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://library.itc.utwente.nl/papers_2020/phd/shi.pdf
- Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich (2020). Improving LiDAR-based tree species mapping in Central European mixed forests using multi-temporal digital aerial colour-infrared photographs. International Journal of Applied Earth Observation and Geoinformation, 84, 101970. https://doi.org/10.1016/j.jag.2019.101970
2018
- Yifang Shi, Andrew K. Skidmore, Tiejun Wang, Stefanie Holzwarth, Uta Heiden, Nicole Pinnel, Xi Zhu, Marco Heurich (2018). Tree species classification using plant functional traits from LiDAR and hyperspectral data. International Journal of Applied Earth Observation and Geoinformation, 73, 207-219. https://doi.org/10.1016/j.jag.2018.06.018
- Yifang Shi, Tiejun Wang, Andrew K. Skidmore, Marco Heurich (2018). Important LiDAR metrics for discriminating forest tree species in Central Europe. ISPRS Journal of Photogrammetry and Remote Sensing, 137, 163-174. https://doi.org/10.1016/j.isprsjprs.2018.02.002
- Jing Liu, Andrew K. Skidmore, Simon Jones, Tiejun Wang, Marco Heurich, Xi Zhu, Yifang Shi (2018). Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics. ISPRS Journal of Photogrammetry and Remote Sensing, 136,13-25.
https://doi.org/10.1016/j.isprsjprs.2017.12.004 - Xi Zhu, Andrew K. Skidmore, Tiejun Wang, Jing Liu, Roshanak Darvishzadeh, Yifang Shi, Joe Premier, Marco Heurich (2018). Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning. Agricultural and Forest Meteorology, 263, 276-286. https://doi.org/10.1016/j.agrformet.2018.08.026
- Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh, K. Olaf Niemann, Jing Liu, Yifang Shi, Tiejun Wang (2018). Foliar and woody materials discriminated using terrestrial LiDAR in a mixed natural forest. International Journal of Applied Earth Observation and Geoinformation, 64, 43-50. https://doi.org/10.1016/j.jag.2017.09.004
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Publications
2023
Kissling, W. D., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A. C., & Grootes, M. W. (2023). Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief, 46, Article 108798. https://doi.org/10.1016/j.dib.2022.108798 [details]- Shi, Y., & Kissling, W. D. (2023). Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging. GIScience and Remote Sensing, 60(1), Article 2260637. https://doi.org/10.1080/15481603.2023.2260637 [details]
2022
- Kissling, W. D., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A. C., & Grootes, M. W. (2022). Laserfarm – A high-throughput workflow for generating geospatial data products of ecosystem structure from airborne laser scanning point clouds. Ecological Informatics, 72, Article 101836. https://doi.org/10.1016/j.ecoinf.2022.101836 [details]
- Wang, Y., Koulouzis, S., Bianchi, R., Li, N., Shi, Y., Timmermans, J., Kissling, W. D., & Zhao, Z. (2022). Scaling Notebooks as Re-configurable Cloud Workflows. Data Intelligence, 4(2), 409-425. https://doi.org/10.1162/dint_a_00140 [details]
- Zhao, Z., Koulouzis, S., Bianchi, R., Farshidi, S., Shi, Z., Xin, R., Wang, Y., Li, N., Shi, Y., Timmermans, J., & Kissling, W. D. (2022). Notebook-as-a-VRE (NaaVRE): From private notebooks to a collaborative cloud virtual research environment. Software - Practice and Experience, 52(9), 1947-1966. https://doi.org/10.1002/spe.3098 [details]
2023
- Kissling, W. D., & Shi, Y. (2023). Which metrics derived from airborne laser scanning are essential to measure the vertical profile of ecosystems? Diversity and distributions, 29(10), 1315-1320. https://doi.org/10.1111/ddi.13760 [details]
2024
- Kissling, W. & Shi, Y. (16-10-2024). Multi-temporal high-resolution data products of ecosystem structure derived from country-wide airborne laser scanning surveys of the Netherlands. Zenodo. https://doi.org/10.5281/zenodo.13940847
- Meijer, C. W., Ku, O., Grootes, M. W., Nattino, F., Shi, Y., Kissling, W., Seijmonsbergen, A. & Koma, Z. (5-9-2024). Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3). Zenodo. https://doi.org/10.5281/zenodo.13692080
- Wang, J., Shi, Y. & Kissling, W. (2-9-2024). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities. Zenodo. https://doi.org/10.5281/zenodo.13628041
- Wang, J., Kissling, W. & Shi, Y. (30-8-2024). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities. Zenodo. https://doi.org/10.5281/zenodo.13619388
- Kissling, W., Shi, Y. & Wang, J. (19-7-2024). Datasets for testing the robustness of LiDAR vegetation metrics to varying point densities. Zenodo. https://doi.org/10.5281/zenodo.12783696
- Lumbierres, M., Abecasis, D., Alcaraz-Segura, D., Alison, J., Álvarez-Presas, M., Anderle, M., Avci, F., Bajocco, S., Baldo, M., Beja, P., Bergamini, A., Bergami, C., Blanco-Aguiar, J., Boada, J., Bonn, A., Borges, P., Borja, A., Breeze, T., Brotons, L., … Kissling, D. (14-4-2024). EuropaBON EBV workflow templates. Zenodo. https://doi.org/10.5281/zenodo.10971094
2023
- Kissling, W. ., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A. C. & Grootes, M. W. (1-11-2023). Country-wide data products for the ecosystem structure metrics derived from ALS data across the Netherlands (AHN3). Zenodo. https://doi.org/10.5281/zenodo.10060951
- Shi, Y. & Kissling, W. . (9-10-2023). Country-wide data of ecosystem structure from the fourth Dutch airborne laser scanning survey (AHN4). Zenodo. https://doi.org/10.5281/zenodo.8422129
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Ancillary activities
No ancillary activities
Kissling, W. D., Shi, Y., Koma, Z., Meijer, C., Ku, O., Nattino, F., Seijmonsbergen, A. C., & Grootes, M. W. (2023). Country-wide data of ecosystem structure from the third Dutch airborne laser scanning survey. Data in Brief, 46, Article 108798.