dr. R. Darvishzadeh Varchehi (Roshanak)

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, [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.

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

Darvishzadeh, R. , Neinavaz, E. , Huesca Martinez, M. , Nieuwenhuis, W., Fernández, N. , & Skidmore, A. K. (2022). Remotely sensed vegetation biophysical parameters as proxies for primary productivity estimation. Abstract from Living Planet Symposium, LPS 2022, Bonn, North Rhine-Westphalia, Germany. https://express.converia.de/frontend/index.php?page_id=18446&v=AuthorList&do=17&day=all&q=darvish&entity_id=393612

Mahlayeye, M. , Darvishzadeh, R. , & Nelson, A. (2022). Understanding maize cropping patterns using Sentinel-2 data. Poster session presented at Living Planet Symposium, LPS 2022, Bonn, North Rhine-Westphalia, Germany. https://express.converia.de/frontend/index.php?page_id=22633&additions_conferenceschedule_action=detail&additions_conferenceschedule_controller=paperList&pid=63130&hash=f4f191a5c64ef3801452068fff6955f71481e1754417f19975ff5ff4db6fcea8

Mahlayeye, M. , Darvishzadeh, R. , & Nelson, A. (2022). Cropping Patterns of Annual Crops: A Remote Sensing Review. Remote sensing, 14(10), 1-21. [2404]. https://doi.org/10.3390/rs14102404