Dr. Zahra Rasaei | Research Excellence Award

Dr. Zahra Rasaei | Research Excellence Award

University of Tehran | Iran

Zahra Rasaei is a researcher from Iran specializing in digital soil mapping, legacy soil inventories, soil genesis and classification, land evaluation, and clay mineralogy. With demonstrated expertise in integrating legacy data, remote sensing, and advanced statistical methods, she has contributed to the improvement of soil information systems and the understanding of soil spatial variability. Her research experience includes developing depth-based environmental clustering approaches, addressing zero-inflated and skewed soil salinity distributions, and applying Bayesian data fusion and spatial filtering to enhance the accuracy of soil property maps. She has published multiple peer-reviewed articles in international journals such as CATENA, Pedosphere, Geoderma, Geoderma Regional, and Desert, and has participated in peer review activities, including reviewing for the Journal of South American Earth Sciences. Her work contributes to the modernization of soil mapping practices and the rescue of legacy soil data to support improved land evaluation and sustainable environmental management. She continues to advance innovative methods for understanding soil patterns and properties across diverse landscapes.

Profile : Orcid

Featured Publications

Rasaei, Z., Sarmadian, F., Jafari, A., & Flynn, T. (2026). Can environmental clustering reveal soil profile patterns? A depth-based approach at field scale. CATENA. https://doi.org/10.1016/j.catena.2025.109695

Rasaei, Z., Sarmadian, F., Jafari, A., & Flynn, T. (2025). Digital mapping of soil salinity: Overcoming the challenges of zero-inflated and skewed sample distributions. Pedosphere. https://doi.org/10.1016/j.pedsph.2025.08.007

Rasaei, Z. (2020). Rescue and renewal of legacy soil resource inventories in Iran as an input to digital soil mapping. Geoderma Regional. https://doi.org/10.1016/j.geodrs.2020.e00262

Rasaei, Z., & Bogaert, P. (2019). Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran. Geoderma. https://doi.org/10.1016/j.geoderma.2019.02.031

Rasaei, Z. (2019). Bayesian data fusion for combining maps of predicted soil classes: A case study using legacy soil profiles and DEM covariates in Iran. CATENA. https://doi.org/10.1016/j.catena.2019.104138

Dr. Zahra Rasaei | Editorial Board Member

Dr. Zahra Rasaei | Editorial Board Member

University of Tehran | Iran

Zahra Rasaei is a soil scientist specializing in Digital Soil Mapping, legacy soil inventories, soil classification, and clay mineralogy. She holds a PhD in Digital Soil Mapping and has conducted extensive research on integrating legacy soil data with modern geospatial and Bayesian statistical techniques to improve the accuracy of soil property and soil class predictions in Iran. Her work focuses on spatial filtering, Bayesian data fusion, land evaluation, and soil genesis, contributing to the modernization of Iran’s soil information systems. She has authored 6 scientific publications, with an h-index of 4 and 68 citations, reflecting her growing influence in pedometrics and geospatial soil science. Her research experience spans digital soil modeling, remote-sensing data integration, and the rescue of old soil survey inventories for national soil mapping. She has also served as a peer reviewer for the Journal of South American Earth Sciences. Her research interests include soil salinity prediction, zero-inflated data modeling, DEM-based covariate analysis, and improved soil classification frameworks. Although early in her career, she has made significant contributions to digital soil mapping methodologies, and her work supports soil-resource management and sustainable land-use planning. Overall, she is a promising researcher advancing modern soil-mapping science.

Profile : Orcid

Featured Publications

Rasaei, Z., Sarmadian, F., Jafari, A., & Flynn, T. (2025). Digital mapping of soil salinity: Overcoming the challenges of zero-inflated and skewed sample distributions. Pedosphere.

Rasaei, Z., Rossiter, D. G., & Farshad, A. (2020). Rescue and renewal of legacy soil resource inventories in Iran as an input to digital soil mapping. Geoderma Regional, 21, e00262.

Rasaei, Z., & Bogaert, P. (2019). Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran. Geoderma, 344, 50–62.

Rasaei, Z., & Bogaert, P. (2019). Bayesian data fusion for combining maps of predicted soil classes: A case study using legacy soil profiles and DEM covariates in Iran. Catena, 182, 104138.

Rasaei, Z., Sarmadian, F., & Jafari, A. (2019). Comparison of fertility capability and taxonomic classification systems to classify soil map units in parts of Chaharmahal-va-Bakhtiari Province. Desert.