dr. R. Darvishzadeh Varchehi (Roshanak)

Wang, F., Ma, Y. , Darvishzadeh, R., & Han, C. (2023). Annual and seasonal trends of vegetation responses and feedback to temperature on the Tibetan Plateau since the 1980s. Remote sensing, 1-21. https://doi.org/10.3390/rs15092475

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.

Andalibi, L., Ghorbani, A. , Darvishzadeh, R., Moameri, M., Hazbavi, Z., & Jafari, R. (2022). Multisensor assessment of leaf area index across ecoregions of Ardabil Province, northwestern Iran. Remote sensing, 14(22), [5731]. https://doi.org/10.3390/rs14225731

Gao, L. , Darvishzadeh, R., Somers, B., Johnson, B. A., Wang, Y., Verrelst, J., & Atzberger, C. (2022). Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment. Agricultural and forest meteorology, 326, [109178]. https://doi.org/10.1016/j.agrformet.2022.109178

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

Berger, K., Machwitz, M., Kycko, M., Kefauver, S. C., Van Wittenberghe, S., Gerhards, M., Verrelst, J., Atzberger, C. , van der Tol, C., Damm, A., Rascher, U., Herrmann, I., Sobejano Paz, V., Fahrner, S., Pieruschka, R. , Prikaziuk, E., Buchaillot, M. L., Halabuk, A., Celesti, M., ... Schlerf, M. (2022). Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review. Remote sensing of environment, 280, [113198]. https://doi.org/10.1016/j.rse.2022.113198

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

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.