Juan de la Riva

17 papers C 1Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Classification and Mapping of Fuels in Mediterranean Forest Landscapes Using a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser Scanner Systems.
Remote. Sens.
Raúl Hoffrén, María Teresa Lamelas, Juan de la Riva
2023 J jnl
Assessing GEDI-NASA system for forest fuels classification using machine learning techniques.
Int. J. Appl. Earth Obs. Geoinformation
Raúl Hoffrén, María Teresa Lamelas, Juan de la Riva, Darío Domingo, Antonio Luis Montealegre, Alberto García-Martín, Sergio Revilla
2021 J jnl
Assessing the Potential of the DART Model to Discrete Return LiDAR Simulation - Application to Fuel Type Mapping.
Remote. Sens.
Sergio Revilla, María Teresa Lamelas, Darío Domingo, Juan de la Riva, Raquel Montorio Llovería, Antonio Luis Montealegre, Alberto García-Martín
2020 J jnl
Fuel Type Classification Using Airborne Laser Scanning and Sentinel 2 Data in Mediterranean Forest Affected by Wildfires.
Remote. Sens.
Darío Domingo, Juan de la Riva, María Teresa Lamelas, Alberto García-Martín, Paloma Ibarra, Maite Echeverría, Raúl Hoffrén
2019 J jnl
Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data.
Remote. Sens.
Darío Domingo, Rafael Alonso, María Teresa Lamelas, Antonio Luis Montealegre, Francisco Rodríguez, Juan de la Riva
2018 C conf
Estimating Forest Residual Biomass in Mediterranean Pinus Halepensis Forest Using Low Point Density ALS Data.
IGARSS
Darío Domingo, Antonio Luis Montealegre, María Teresa Lamelas, Alberto García-Martín, Juan de la Riva
2015 J jnl
A Comparison of Open-Source LiDAR Filtering Algorithms in a Mediterranean Forest Environment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Antonio Luis Montealegre, María Teresa Lamelas, Juan de la Riva
2015 J jnl
Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications.
Remote. Sens.
Antonio Luis Montealegre, María Teresa Lamelas, Juan de la Riva
2014 J jnl
An insight into machine-learning algorithms to model human-caused wildfire occurrence.
Environ. Model. Softw.
Marcos Rodrigues, Juan de la Riva
2014 J jnl
Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling.
Remote. Sens.
Lidia Vlassova, Fernando Perez-Cabello, Hector Nieto, María Pilar Martín, David Riaño, Juan de la Riva
2014 J jnl
Forest Fire Severity Assessment Using ALS Data in a Mediterranean Environment.
Remote. Sens.
Antonio Luis Montealegre, María Teresa Lamelas, Mihai A. Tanase, Juan de la Riva
2014 J jnl
Polarimetric Properties of Burned Forest Areas at C- and L-Band.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Mihai A. Tanase, Maurizio Santoro, Cristina Aponte, Juan de la Riva
2010 J jnl
Sensitivity of X-, C-, and L-Band SAR Backscatter to Burn Severity in Mediterranean Pine Forests.
IEEE Trans. Geosci. Remote. Sens.
Mihai A. Tanase, Maurizio Santoro, Juan de la Riva, Fernando Perez-Cabello, Thuy Le Toan
2010 J jnl
TerraSAR-X Data for Burn Severity Evaluation in Mediterranean Forests on Sloped Terrain.
IEEE Trans. Geosci. Remote. Sens.
Mihai A. Tanase, Fernando Perez-Cabello, Juan de la Riva, Maurizio Santoro
2009 — conf
Backscatter Properties of Multitemporal TerraSAR-X Data and the Effects of Influencing Factors on Burn Severity Evaluation, in a Mediterranean Pine Forest.
IGARSS (3)
Mihai A. Tanase, Maurizio Santoro, Juan de la Riva, Fernando Perez-Cabello
2008 J jnl
Combined Methodology Based on Field Spectrometry and Digital Photography for Estimating Fire Severity.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Raquel Montorio Llovería, Fernando Perez-Cabello, Alberto García-Martín, Juan de la Riva
2008 J jnl
Estimation of Crown Biomass of
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Alberto García-Martín, Fernando Perez-Cabello, Juan de la Riva, Raquel Montorio Llovería