Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment. - Antonio Luis Montealegre; María Teresa Lamelas; Mihai A. Tanase; Juan de la Riva (Remote. Sens., 2014)

Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications. - Antonio Luis Montealegre; María Teresa Lamelas; Juan de la Riva (Remote. Sens., 2015)

A Comparison of Open-Source LiDAR Filtering Algorithms in a Mediterranean Forest Environment. - Antonio Luis Montealegre; María Teresa Lamelas; Juan de la Riva (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Estimating Forest Residual Biomass in Mediterranean Pinus Halepensis Forest Using Low Point Density ALS Data. - Darío Domingo; Antonio Luis Montealegre; María Teresa Lamelas; Alberto García-Martín; Juan de la Riva (IGARSS, 2018)

Assessment of Forest Structural Diversity Differences in Mediterranean Landscapes Affected by Fires Using ALS Data. - P. J. Gelabert; Antonio Luis Montealegre; María Teresa Lamelas; Darío Domingo (IGARSS, 2018)

Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data. - Darío Domingo; Rafael Alonso; María Teresa Lamelas; Antonio Luis Montealegre; Francisco Rodríguez; Juan de la Riva (Remote. Sens., 2019)

Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation - Application to Fuel Type Mapping. - Sergio Revilla; María Teresa Lamelas; Darío Domingo; Juan de la Riva; Raquel Montorio Llovería; Antonio Luis Montealegre; Alberto García-Martín (Remote. Sens., 2021)

Assessing GEDI-NASA system for forest fuels classification using machine learning techniques. - Raúl Hoffrén; María Teresa Lamelas; Juan de la Riva; Darío Domingo; Antonio Luis Montealegre; Alberto García-Martín; Sergio Revilla (Int. J. Appl. Earth Obs. Geoinformation, 2023)