On November 8, in Madrid (Spain), Isabel Aulló-Maestro (ICIFOR, INIA-CSIC) defended her PhD thesis at Escuela Técnica Superior de Ingenieros de Montes (UPM).
The PhD. thesis was titled: “Improvement of forest monitoring through the integration of spatio-temporal data and remote sensing at various spatial scales.”
Her thesis has been directed by Fernando Montes (ICIFOR, INIA-CSIC) and Cristina Gómez (Cambium, iuFOR EiFAB). The thesis committee was composed of: Cristina Pascual (UPM), Silvia Merino (UPM), Paloma Ruiz Benito (UAH), César Pérez-Cruzado (USC) and Francisco Mauro (Cambium, iuFOR EiFAB).
The doctoral thesis applies remote sensing and data analysis tools to address current issues in ecology and management of the natural environment. It includes three studies, each focused on a spatial scale. The first study evaluates the performance of two analysis methods -universal krigging and area based approach- in estimating forest structure parameters at the stand scale. It continues in the second study with an analysis of the dynamics of the spruce and black pine species at a landscape scale in the montane-subalpine ecotone of the Spanish Eastern Pyrenees during the period 1989-2015. Finally, it moves to regional scale evaluating the disturbances that occurred in 2018 on the Iberian Peninsula using the 3I3D algorithm, implemented in Google Earth Engine.
Congratulations to the recent doctorate Isabel Aulló-Maestro, and to all her collaborators, especially her thesis directors.