I am a biologist/geographer interested in studying tropical forests and its changes using remote sensing, from a discrete perspective (land use/land cover) to a continuous one (modeling forest attributes, such as aboveground biomass [AGB]).

I obtained my Bachelor’s and Master’s degree in Biology, and a PhD in Geography by the Universidad Nacional Autónoma de México (UNAM). My research includes evaluating the use of remote sensing information to model structural and diversity forest attributes, and monitor deforestation and forest degradation. I have experience in acquiring in-field forest data, visually interpreting images, working with different types of remote sensing information (e.g., multispectral, SAR and LiDAR point clouds), obtaining different remote sensing metrics (e.g., spectral indices, calculating GLCM and FOTO texture, percentiles), as well as working with different modeling algorithms or techniques (e.g., linear / non-linear models, machine learning and deep learning algorthms).

I like to make most of my analyses in R or use other freely available tools such as QGIS and Google Earth Engine. I believe that using these tools helps in making analyses more transparent and reproducible.

I made a simple wordcloud plot of the most frequent terms in my publications to give a better idea of my research interests.

wordlcloud