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Maria Dolores Raya Sereno

Photo of Maria Dolores Raya Sereno

Address:

4800 Oak Grove Drive

Pasadena, CA 91109

Member of:

Carbon Cycle And Ecosystems

Visiting Postdoc

Biography

Maria is a Postdoctoral Researcher at SpecLab-CSIC. From 2016 to 2018, she was a Research Assistant at the Institute of Natural Resources and Agrobiology (CSIC), where she joined the Irrigation and Crop Ecophysiology research group.

Education

  • PhD in Agro-Environmental Technology for Sustainable Agriculture at the Polytechnic University of Madrid, Spain 2023
  • Master in Planning and Management of Territorial and Local Development at the University of Seville, Spain 2015
  • Bachelor in Environmental Science at the University of Córdoba, Spain 2014

Research Interests

Her recent research interests include hyperspectral remote sensing and its application in vegetation monitoring. She also has expertise in the field of environmental protection, management and precision agriculture".

Selected Publications

  1. Quemada, M., Pancorbo, J.L., Arencibia-Pérez, N., Raya-Sereno, M.D., Gabriel, J.L., Hornero, A. 2026. Hyperspectral and multispectral imagery for optimizing nitrogen management and harvest assessment in bread wheat. Precision Agriculture, 27(3), 75. https://doi.org/10.1007/s11119-026-10379-w Q1. IF: 7,6
  2. Holtgrave, A.K., Förster, M., Wallis, C., Raya-Sereno, M.D., Burchard-Levine, V., Morel, J., Rossi, M., Rocchini, D., Schwieder, M., Hostert, P., Faßnacht, F., & Kleinschmit, B. 2026. Review of remote Sensing indices for monitoring environmental grassland indicators in Europe. Ecological Indicators, 185, 114732. https://doi.org/10.1016/j.ecolind.2026.114732 Q1. IF: 8,7
  3. Pancorbo, J.L., Quemada, M., Raya-Sereno, M.D., Gioli, B., Beck, P.S.A., Camino, C. 2025. Integrating Artificial Neural Network-PROSAIl with Sentinel-2 to monitor crop traits dynamics and nitrogen status. IEEE Journal of Selected topics in Applied Earth Observations and Remote Sensing 1-27. https://doi.org/10.1109/JSTARS.2025.3585080 Q1. IF: 5,3
  4. Weiner, M., Moakes, S., Raya-Sereno, M.D., Cooper, J. 2024. Legume-based crop rotations as a strategy to mitigate fluctuations in fertilizer prices? A case of study on bread wheat genotypes in northern Spain using life cycle and economic assessment. European journal of Agronomy 159, 127267. https://doi.org/10.1016/j.eja.2024.127267 Q1. IF: 5,2. FWCI: 1,83
  5. Raya-Sereno, M.D., Camino, C., Pancorbo, J.L., Alonso-Ayuso, M., Gabriel, J.L., Beck, P.S.A., Quemada, M. 2024. Assessing wheat genotype response under combined nitrogen and water stress scenarios coupling high-resolution optical and thermal sensors with radiative transfer models. European Journal of Agronomy 154, 127102. https://doi.org/10.1016/j.eja.2024.127102 Q1. IF: 5,2. FWCI: 1,83
  6. Raya-Sereno, M.D., Pancorbo, J.L., Alonso-Ayuso, M., Gabriel, J.L., Quemada, M. 2023. Winter wheat genotype ability to recover nitrogen supply by precedent crops under combined nitrogen and water scenarios. Field Crops Research 290, 108758. https://doi.org/10.1016/j.fcr.2022.108758 Q1. IF: 5,8. FWCI: 1,3
  7. Pancorbo, J.L., Alonso-Ayuso, M., Camino, C., Raya-Sereno, M.D., Zarco-Tejada, P.J., Molina, I., Gabriel, J.L., Quemada, M. 2023. Airborne hyperspectral and Sentinel imagery to quantify winter wheat traits through ensemble modeling approaches. Precision Agriculture 24, 1228-1311. https://doi.org/10.1007/s11119-023-09990-y Q1. IF: 6,2.
  8. Almeida-Ñauñay, A.F., Tarquis, A.M., López-Herrera, J., Pérez-Martín, E., Pancorbo, J.L., Raya-Sereno, M.D., Quemada, M. 2023. Optimization of soil background removal to improve the prediction of wheat traits with UAV imagery. Computers and Electronics in Agriculture 205, 107559. https://doi.org/10.1016/j.compag.2022.107559 Q1. IF: 8,3. FWCI: 4,3
  9. Raya-Sereno, M.D., Alonso-Ayuso, M., Pancorbo, J.L., Gabriel, J.L., Camino, C., Zarco-Tejada, P.J., Quemada, M. 2022. Residual effect and N fertilizer rate detection by high-resolution VNIR-SWIR hyperspectral imagery and solar-induced chlorophyll fluorescence in wheat. IEEE Transactions on Geoscience and Remote Sensing 60, 1-17. https://doi.org/10.1109/TGRS.2021.3099624 Q1. IF: 8,2. FWCI: 3,91
  10. Pancorbo, J.L., Camino, C., Alonso-Ayuso, M., Raya-Sereno, M.D., Gonzalez-Fernandez, I., Gabriel, J.L., Zarco-Tejada, P.J., Quemada, M. 2021. Simultaneous assessment of nitrogen and water status in Winter wheat using hyperspectral and thermal sensors. European Journal of Agronomy 127, 126287. https://doi.org/10.1016/j.eja.2021.126287 Q1. IF: 5,722. FWCI: 2,82
  11. Raya-Sereno, M.D., Ortiz-Monasterio, J.I., Alonso-Ayuso, M., Rodrigues, F.A., Rodríguez, A.A., González-Pérez, L., Quemada, M. 2021. High-resolution airborne hyperspectral imagery for assessing yield, biomass, grain N concentration and N output in spring wheat. Remote Sensing 13, 1373. https://doi.org/10.3390/rs13071373 Q2. IF: 5,349. FWCI: 1.3
  12. Hernandez-Santana, V., Diaz-Rueda P., Diaz-Espejo, A., Raya-Sereno, M.D., Gutiérrez-Gordillo, S., Montero, A., Perez-Martin, A., Colmenero-Flores, J.M., and Rodriguez-Dominguez Cm. 2019. Hydraulic Traits Emerge as Relevant Determinants of Growth Patterns in Wild Olive Genotypes Under Water Stress. Frontiers in Plant Science 10, 291. https://doi.org/10.3389/fpls.2019.00291