Raul de Paula Pires

My research focuses on bridging the gap between remote sensing technologies and decision-making in forestry, in special on how we can leverage diverse data sources for assessing forest attributes.

My research focuses on integrating innovative technologies, such as close-range laser scanning (CRLS), machinery data and simulations into forest inventory to enhance precision and efficiency in estimating forest attributes.

More recently I've been focusing on the value of information of CRLS for forest planning and the integration of operational data, such as harvester production reports, with laser scanning for tasks such as tree-level attribute estimation.