My research falls at the intersection of forest inventory and remote sensing. It is focused on applications of design-based and model-based small area estimation techniques to forest inventories. I analyze methods that use remote sensing data to improve quantitative assessments of natural resources and study how to accurately characterize the uncertainty of these assessments. The main goal of this research is to identify methods that allow obtaining better information to inform the decisions of forest and natural resources managers.
Education and former positions
- 2022-present – Maria Zambrano Postdoc-Researcher (University of Valladolid, UVa)
- 2018-2021 – Research Associate. (Oregon State University, OSU)
- 2015-2017 – Postdoctoral Scholar. (Oregon State University, OSU).
- 2015. PhD in Forestry (Technical University of Madrid, UPM)
- 2007. Forest Engineering (Technical University of Madrid, UPM
- Forest inventory
- Remote sensing
- Design-based estimation
- Model-based estimation
- Small area estimation