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I received a PhD in Forestry and Agriculture from the Technical University of Madrid. During my dissertation I developed a framework to assess the spatial and temporal variability of different environmental processes, such as forest fires, drought, vegetation dynamics, across different ecoregions, using statistical time series analysis applied to multispectral time series data. After my Ph.D., I received a postdoctoral scholar position at the University of California, Davis (USA), in the centre for spatial technologies and remote sensing (CSTARS), where I began working with imaging spectroscopy and LiDAR data. During this time, I was focused on combining several types of remote sensing data, such as multispectral, hyperspectral, LiDAR and UAV data, with in situ measurements to develop models for assessing biodiversity, drought effects, evapotranspiration, vegetation structure, functional traits, and tree mortality among others in very different ecosystems such as Mediterranean savannas, mix broadleaf-conifer forest, alpine forest, wetland o tropical forest.
Expertise Earth and Planetary Sciences MODIS Time Series Spain Remote Sensing Forest Fire Reflectance Time Series Analysis Chlorophyll Organisations For my future research plans, I am interested in:
(1) understanding the spatial and temporal variability in ecosystem functioning under global climate change scenarios and its relationship with biodiversity loss and the effect in natural resources;
(2) developing robust spatial and temporal models for monitoring and forecasting forest dynamics under the influence of several disturbance factors, such as forest fires, insect attacks, invasive species, and drought, among others;
(3) determining how we can apply each type of remote sensing data to improve our knowledge of ecosystem processes and develop a monitoring system that allows for upscaling and downscaling from local to global level.
Publications Jump to: 2026 | 2025 | 2024 | 2023 | 2022 | 2021
Fusing airborne VNIR–SWIR–thermal data for early detection of European spruce bark beetle green attack (2026) [Contribution to conference › Abstract] 14th EARSeL Workshop on Imaging Spectroscopy . Abdullah, H., Skidmore, A. K., Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M. , Reusen, I. & Heurich, M. Utilising remote sensing technologies to upscale microbial environmental DNA point data for large scale biodiversity assessment (2026) [Contribution to conference › Abstract] 4th World Biodiversity Forum, WBF 2026 . Siegenthaler, A., Abdullah, H., Skidmore, A. & Huesca Martinez, M. https://doi.org/10.5194/wbf2026-174 Assessing drought-induced tree mortality in open Mediterranean forests integrating landsat time series, spectral unmixing, and UAS validation (2026) Remote sensing, 18 (5). Raunak, A., Huesca, M. , Nyktas, P. & Paris, C.https://doi.org/10.3390/rs18050792 Secondary natural vegetation gains in the Atlantic Forest do not offset losses of carbon stocks and conservation of priority areas (2025) Biological conservation, 312 . Article 111512. da Silva, R. F. B., Millington, J. D. A., Dou, Y., Vancine, M. H., Magnago, L. F. S., Viña, A., Bin, F., Huesca, M. , Viera, S. A. & Liu, J.https://doi.org/10.1016/j.biocon.2025.111512 Hyperspectral remote sensing and environmental DNA for assessing soil bacterial alpha diversity in temperate forests (2025) [Contribution to conference › Poster] Living Planet Symposium 2025 . Abdullah, H., Skidmore, A. K., Siegenthaler, A., Huesca Martinez, M. , Darvishzadeh, R. & Neinavaz, E. Fire Probability Index (FPI) – Tambacounda, Senegal, 1999-2024 (2025) [Dataset Types › Dataset]. Zenodo. Prikaziuk, E., Huesca Martinez, M. , van Westen, C. & Manzella, I. https://doi.org/10.5281/zenodo.15212767 Leveraging educational partnerships to integrate education for sustainable development into university geoscience curriculum (2025) International journal of sustainability in higher education, 26 (9), 131-148. Maganini, M., Herndon, K. E., Loran, T. M., Griffin, R. E., Anderson, E. R., van der Meer, F. D., Darvishzadeh, R., Paris, C., Rietbroek, R., Huesca Martinez, M. & Schlund, M.https://doi.org/10.1108/IJSHE-07-2024-0445 Integrating process-based vegetation modelling with high-resolution imagery to assess bark beetle infestation and land surface temperature effects on forest net primary productivity (2025) Remote Sensing Applications: Society and Environment, 37 . Article 101499. Abdullah, H., Neinavaz, E., Darvishzadeh, R., Huesca Martinez, M. , Skidmore, A. K., Lindeskog, M., Smith, B., Heurich, M., Steinbrecher, R. & Paganini, M.https://doi.org/10.1016/j.rsase.2025.101499 Monitoring disturbance impacts on temperate forest productivity (2024) [Contribution to conference › Poster] World Biodiversity Forum 2024 . Abdullah, H., Neinavaz, E., Huesca Martinez, M. , Darvishzadeh, R., Lindeskog, M., Smith, B. & Skidmore, A. K. https://doi.org/10.5281/zenodo.12720790 Estimation of Oak Leaf Functional Traits for California Woodland Savannas and Mixed Forests: Comparison between Statistical, Physical, and Hybrid Methods Using Spectroscopy (2023) Remote sensing . Gaubert, T., Adeline, K., Huesca Martinez, M. , Ustin, S. & Briottet, X.https://doi.org/10.3390/rs16010029 A study on the impact of the spatial and spectral resolution on plant species richness in Mediterranean regions using optical remote sensing data (2023) In Image and Signal Processing for Remote Sensing XXIX . Article 127330W. SPIE. Boakye, A. S., Huesca Martinez, M. & Paris, C. https://doi.org/10.1117/12.2679116 Inversion of Radiative Transfer Model Through One-Dimensional Convolutional Neural Network To Retrieve Foliar Traits of Temperate Forest Canopies With Imaging Spectrocopy (2023) [Contribution to conference › Paper] 43rd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 . Gaubert, T., Adeline, K., Martinez, M. H. , Ustin, S. & Briottet, X. On the relationship of primary productivity and remotely sensed canopy biophysical variables (2022) [Contribution to conference › Abstract] EGU General Assembly 2022 . Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M. , Skidmore, A. K., Nieuwenhuis, W., Fernández, N. & Wårlind, D. https://doi.org/10.5194/egusphere-egu22-10409 Remotely sensed vegetation biophysical parameters as proxies for primary productivity estimation (2022) [Contribution to conference › Abstract] Living Planet Symposium, LPS 2022 . Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M. , Nieuwenhuis, W., Fernández, N. & Skidmore, A. K. https://express.converia.de/frontend/index.php?page_id=18446&v=AuthorList&do=17&day=all&q=darvish&entity_id=393612 Assessing vegetation traits estimates accuracies from the future SBG and biodiversity hyperspectral missions over two Mediterranean Forests (2022) International journal of remote sensing, 43 (10), 3537-3562. Miraglio, T., Adeline, K., Huesca Martinez, M. , Ustin, S. & Briottet, X.https://doi.org/10.1080/01431161.2022.2093143 Baseline invasive species community mapping at Lower Klamath Wetland, Oregon-California (USA) (2021) In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 5907-5909) (IEEE International Geoscience and Remote Sensing Symposium IGARSS; Vol. 2021). IEEE. Huesca, M. & Ustin, S. L. https://doi.org/10.1109/IGARSS47720.2021.9553787 Impact of modeling abstractions when estimating leaf mass per area and equivalent water thickness over sparse forests using a hybrid method (2021) Remote sensing, 13 (16), 1-22. Article 3235. Miraglio, T., Huesca, M. , Gastellu-Etchegorry, J. P., Schaaf, C., Adeline, K. R. M., Ustin, S. L. & Briottet, X.https://doi.org/10.3390/rs13163235 Research profiles Courses academic year 2026/2027 Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses academic year 2025/2026 Courses academic year 2024/2025 
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