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.


  • Earth and Planetary Sciences

    • Datum
    • MODIS
    • Area
    • Forest
    • Canopy
    • Investigation
    • Cartography
    • Assessment


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. 


Baseline invasive species community mapping at Lower Klamath Wetland, Oregon-California (USA)In IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 5907-5909). IEEE. Huesca, M. & Ustin, S. L.https://doi.org/10.1109/IGARSS47720.2021.9553787Impact of modeling abstractions when estimating leaf mass per area and equivalent water thickness over sparse forests using a hybrid methodRemote sensing, 13(16), Article 3235, 1-22. Miraglio, T., Huesca, M., Gastellu-Etchegorry, J. P., Schaaf, C., Adeline, K. R. M., Ustin, S. L. & Briottet, X.https://doi.org/10.3390/rs13163235Detection of drought‐induced blue oak mortality in the Sierra Nevada Mountains, CaliforniaEcosphere, 12(6), Article e03558, 1-20. Huesca, M., Ustin, S. L., Shapiro, K. D., Boynton, R. & Thorne, J. H.https://doi.org/10.1002/ecs2.3558
Mapping periodic patterns of global vegetation based on spectral analysis of NDVI time seriesRemote sensing, 11(21), 1-21. Recuero, L., Litago, J., Pinzon, J., Huesca Martinez, M., Moyano, M. C. & Palacios-Orueta, A.https://doi.org/10.3390/rs11212497Fallowing temporal patterns assessment in rainfed agricultural areas based on NDVI time series autocorrelation valuesInternational Journal of Applied Earth Observation and Geoinformation, 82, 1-11. Recuero, L., Wiese, K., Huesca Martinez, M., Cicuendez, V., Litago, J., Tarquis Alfonso, A. M. & Palacios-Orueta, A.https://doi.org/10.1016/j.jag.2019.05.023

Research profiles

Courses academic year 2023/2024

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 2022/2023


University of Twente

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