Juan de la Riva

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 5

Top Topics

Filtering Algorithm

Digital Elevation Models

Topological Properties

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Environ. Model. Softw.

Publications

Raúl Hoffrén, María Teresa Lamelas, Juan de la Riva, Darío Domingo, Antonio Luis Montealegre, Alberto García-Martín, Sergio Revilla
Assessing GEDI-NASA system for forest fuels classification using machine learning techniques. Int. J. Appl. Earth Obs. Geoinformation 116 (2023)
Sergio Revilla, María Teresa Lamelas, Darío Domingo, Juan de la Riva, Raquel Montorio Llovería, Antonio Luis Montealegre, Alberto García-Martín
Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation - Application to Fuel Type Mapping. Remote. Sens. 13 (3) (2021)
Darío Domingo, Juan de la Riva, María Teresa Lamelas, Alberto García-Martín, Paloma Ibarra, Maite Echeverría, Raúl Hoffrén
Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires. Remote. Sens. 12 (21) (2020)
Darío Domingo, Rafael Alonso, María Teresa Lamelas, Antonio Luis Montealegre, Francisco Rodríguez, Juan de la Riva
Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data. Remote. Sens. 11 (3) (2019)
Darío Domingo, Antonio Luis Montealegre, María Teresa Lamelas, Alberto García-Martín, Juan de la Riva
Estimating Forest Residual Biomass in Mediterranean Pinus Halepensis Forest Using Low Point Density ALS Data. IGARSS (2018)
Antonio Luis Montealegre, María Teresa Lamelas, Juan de la Riva
Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications. Remote. Sens. 7 (7) (2015)
Antonio Luis Montealegre, María Teresa Lamelas, Juan de la Riva
A Comparison of Open-Source LiDAR Filtering Algorithms in a Mediterranean Forest Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8 (8) (2015)
Antonio Luis Montealegre, María Teresa Lamelas, Mihai A. Tanase, Juan de la Riva
Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment. Remote. Sens. 6 (5) (2014)
Lidia Vlassova, Fernando Perez-Cabello, Hector Nieto, María Pilar Martín, David Riaño, Juan de la Riva
Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling. Remote. Sens. 6 (5) (2014)
Mihai A. Tanase, Maurizio Santoro, Cristina Aponte, Juan de la Riva
Polarimetric Properties of Burned Forest Areas at C- and L-Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (1) (2014)
Marcos Rodrigues, Juan de la Riva
An insight into machine-learning algorithms to model human-caused wildfire occurrence. Environ. Model. Softw. 57 (2014)
Mihai A. Tanase, Fernando Perez-Cabello, Juan de la Riva, Maurizio Santoro
TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain. IEEE Trans. Geosci. Remote. Sens. 48 (2) (2010)
Mihai A. Tanase, Maurizio Santoro, Juan de la Riva, Fernando Perez-Cabello, Thuy Le Toan
Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests. IEEE Trans. Geosci. Remote. Sens. 48 (10) (2010)
Mihai A. Tanase, Maurizio Santoro, Juan de la Riva, Fernando Perez-Cabello
Backscatter Properties of Multitemporal TerraSAR-X Data and the Effects of Influencing Factors on Burn Severity Evaluation, in a Mediterranean Pine Forest. IGARSS (3) (2009)
Alberto García-Martín, Fernando Perez-Cabello, Juan de la Riva, Raquel Montorio Llovería
From Landsat TM and Its Effect on Burn Severity in a Spanish Fire Scar. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 1 (4) (2008)
Raquel Montorio Llovería, Fernando Perez-Cabello, Alberto García-Martín, Juan de la Riva
Combined Methodology Based on Field Spectrometry and Digital Photography for Estimating Fire Severity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 1 (4) (2008)