Estimation of Crown Biomass of Pinus spp. From Landsat TM and Its Effect on Burn Severity in a Spanish Fire Scar. - Alberto García-Martín; Fernando Perez-Cabello; Juan de la Riva; Raquel Montorio Llovería (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2008)

Combined Methodology Based on Field Spectrometry and Digital Photography for Estimating Fire Severity. - Raquel Montorio Llovería; Fernando Perez-Cabello; Alberto García-Martín; Juan de la Riva (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2008)

Backscatter Properties of Multitemporal TerraSAR-X Data and the Effects of Influencing Factors on Burn Severity Evaluation, in a Mediterranean Pine Forest. - Mihai A. Tanase; Maurizio Santoro; Juan de la Riva; Fernando Perez-Cabello (IGARSS (3), 2009)

TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain. - Mihai A. Tanase; Fernando Perez-Cabello; Juan de la Riva; Maurizio Santoro (IEEE Trans. Geosci. Remote. Sens., 2010)

Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests. - Mihai A. Tanase; Maurizio Santoro; Juan de la Riva; Fernando Perez-Cabello; Thuy Le Toan (IEEE Trans. Geosci. Remote. Sens., 2010)

An insight into machine-learning algorithms to model human-caused wildfire occurrence. - Marcos Rodrigues; Juan de la Riva (Environ. Model. Softw., 2014)

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)

Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling. - Lidia Vlassova; Fernando Perez-Cabello; Hector Nieto; María Pilar Martín; David Riaño 002; Juan de la Riva (Remote. Sens., 2014)

Polarimetric Properties of Burned Forest Areas at C- and L-Band. - Mihai A. Tanase; Maurizio Santoro; Cristina Aponte; Juan de la Riva (IEEE J. Sel. Top. Appl. Earth Obs. 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)

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)

Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires. - Darío Domingo; Juan de la Riva; María Teresa Lamelas; Alberto García-Martín; Paloma Ibarra; Maite Echeverría; Raúl Hoffrén (Remote. Sens., 2020)

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)

Classification and Mapping of Fuels in Mediterranean Forest Landscapes Using a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser Scanner Systems. - Raúl Hoffrén; María Teresa Lamelas; Juan de la Riva (Remote. Sens., 2024)