Using Tree Detection Based on Airborne Laser Scanning to Improve Forest Inventory Considering Edge Effects and the Co-Registration Factor. - Adrián Pascual (Remote. Sens., 2019)

Monitoring Water-Soil Dynamics and Tree Survival Using Soil Sensors under a Big Data Approach. - Adrián Pascual; Rafael Rivera; Rodrigo Gómez; Susana Domínguez-Lerena (Sensors, 2019)

Impact of Calibrating Filtering Algorithms on the Quality of LiDAR-Derived DTM and on Forest Attribute Estimation through Area-Based Approach. - Diogo Nepomuceno Cosenza; Luísa Gomes Pereira; Juan Guerra-Hernández; Adrián Pascual; Paula Soares; Margarida Tomé (Remote. Sens., 2020)

The Role of Improved Ground Positioning and Forest Structural Complexity When Performing Forest Inventory Using Airborne Laser Scanning. - Adrián Pascual; Juan Guerra-Hernández; Diogo Nepomuceno Cosenza; Vicente Sandoval (Remote. Sens., 2020)

Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests. - Iván Dorado-Roda; Adrián Pascual; Sérgio Godinho; Carlos Alberto Silva; Brigite Botequim; Pablo Rodríguez-Gonzálvez; Eduardo González-Ferreiro; Juan Guerra-Hernández (Remote. Sens., 2021)

Using multi-temporal tree inventory data in eucalypt forestry to benchmark global high-resolution canopy height models. A showcase in Mato Grosso, Brazil. - Adrián Pascual; Frederico Tupinambá-Simões; Tiago de Conto (Ecol. Informatics, 2022)

Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping - A Mixed Forests Showcase in Spain. - Frederico Tupinambá-Simões; Adrián Pascual; Juan Guerra-Hernández; Cristóbal Ordóñez; Tiago de Conto; Felipe Bravo (Remote. Sens., 2023)

Correction of phenology-induced effects in forest canopy height models based on airborne laser scanning data. Insights from the deciduous mountain forests in Picos de Europa National Park in Spain. - Adrián Pascual; Juan Guerra-Hernández (Ecol. Informatics, 2023)