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)

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). 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

Xie, R. , Darvishzadeh, R. , Skidmore, A. K., Heurich, M., Holzwarth, S., Gara, T., & Reusen, I. (2022). Gaussian Processes Regression and PLSR for Mapping Forest Canopy Traits from Fenix Airborne Hyperspectral Data. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.

Lausch, A., Schaepman, M. E. , Skidmore, A. K., Catana, E., Bannehr, L., Bastian, O., Borg, E., Bumberger, J., Dietrich, P., Glässer, C., Hacker, J. M., Höfer, R., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Klenke, R., Kirsten, T., Ködel, U., ... Baatz, R. (2022). Remote sensing of geomorphodiversity linked to biodiversity—Part III: Traits, processes and remote sensing characteristics. Remote sensing, 14(9), 1-48. [2279]. https://doi.org/10.3390/rs14092279

Darvishzadeh, R. , Neinavaz, E. , Huesca Martinez, M. , Skidmore, A. K. , Nieuwenhuis, W., Fernández, N., & Wårlind, D. (2022). On the relationship of primary productivity and remotely sensed canopy biophysical variables. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-10409

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Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.