prof.dr. A.K. Skidmore (Andrew)

Voor meer informatie over Andrew Skidmore zie de pagina 'UT Featured Scientists':

Earth & Environmental Sciences

# Canopy
# Chlorophyll
# Leaf Area Index
# Remote Sensing

Engineering & Materials Science

# Biodiversity
# Chlorophyll
# Remote Sensing

Agriculture & Biology

# Remote Sensing

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)

Zhang, Z. , Wang, T. , Skidmore, A. K., Cao, F., She, G., & Cao, L. (2023). An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data. Forest Ecosystems, [100089]. https://doi.org/10.1016/j.fecs.2023.100089

Neinavaz, E. , Darvishzadeh, R. , Skidmore, A. K. , & Nieuwenhuis, W. (2022). Remote Sensing-Enabled EBVs Portal for Understanding Terrestrial Ecosystem Dynamics. Abstract from EuroGEO workshop 2022, Athens, Greece.

Zong, X. , Wang, T. , Skidmore, A. K., & Heurich, M. (2022). LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species. Journal of animal ecology. https://doi.org/10.1111/1365-2656.13847

Yu, H. , Wang, T. , Skidmore, A. K., Heurich, M., & Bässler, C. (2022). 50 Years of cumulative open-source data confirm stable and robust biodiversity distribution patterns for macrofungi. Journal of Fungi, 8(9), 1-16. [981]. https://doi.org/10.3390/jof8090981

Korir, H. K. , Neinavaz, E. , Skidmore, A. K. , & Darvishzadeh, R. (2022). Thermal infrared airborne hyperspectral data for vegetation land cover classification in a mixed temperate forest. 116-116. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany. http://is.earsel.org/workshop/12-IS-Potsdam2022/wp-content/uploads/2022/06/programm-booklet_long_complete_v2.pdf

Neinavaz, E. , Darvishzadeh, R. , & Skidmore, A. K. (2022). Prediction of leaf area index using hyperspectral thermal infrared imagery over the mixed temperate forest. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.

Skidmore, A. K. , Siegenthaler, A. , Wang, T. , Darvishzadeh, R., Zhu, X., Chariton, A., & Arjen De Groot, G. (2022). Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing. Science of Remote Sensing, 6, [100065]. https://doi.org/10.1016/j.srs.2022.100065

Rocchini, D., Santos, M. J., Ustin, S. L., Féret, J., Asner, G. P., Beierkuhnlein, C., Dalponte, M., Feilhauer, H., Foody, G. M., Geller, G. N., Gillespie, T. W., He, K. S., Kleijn, D., Leitão, P. J., Malavasi, M., Moudrý, V., Müllerová, J., Nagendra, H., Normand, S., ... Lenoir, J. (2022). The spectral species concept in living color. Journal of geophysical research : Biogeosciences, 127(9), [e2022JG007026]. https://doi.org/10.1029/2022JG007026

Farsad Layegh, N. , Darvishzadeh, R. , Skidmore, A. K. , Persello, C., & Kruger, N. (2022). Integrating semi-supervised learning with an expert system for vegetation cover classification using Sentinel-2 and RapidEye data. Remote sensing, 14(15), 1-18. [3605]. https://doi.org/10.3390/rs14153605

Zhang, Y-W. , Wang, T., Guo, Y. , Skidmore, A. K., Zhang, Z., Tang, R., Song, S., & Tang, Z. (2022). Estimating community-level plant functional traits in a species-rich alpine meadow using UAV image spectroscopy. Remote sensing, 14(14), 1-14. [3399]. https://doi.org/10.3390/rs14143399

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