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Juan de la Riva
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Journal Articles
- 2023
- [j14]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: 103175 (2023) - 2021
- [j13]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): 342 (2021) - 2020
- [j12]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): 3660 (2020) - 2019
- [j11]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): 261 (2019) - 2015
- [j10]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): 8631-8654 (2015) - [j9]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): 4072-4085 (2015) - 2014
- [j8]Marcos Rodrigues, Juan de la Riva
:
An insight into machine-learning algorithms to model human-caused wildfire occurrence. Environ. Model. Softw. 57: 192-201 (2014) - [j7]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): 4240-4265 (2014) - [j6]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): 4345-4368 (2014) - [j5]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): 267-276 (2014) - 2010
- [j4]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): 917-929 (2010) - [j3]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): 3663-3675 (2010) - 2008
- [j2]Alberto García-Martín
, Fernando Perez-Cabello
, Juan de la Riva
, Raquel Montorio Llovería
:
Estimation of Crown Biomass of Pinus spp. 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): 254-265 (2008) - [j1]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): 266-274 (2008)
Conference and Workshop Papers
- 2018
- [c2]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: 7552-7555 - 2009
- [c1]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: 593-596
Coauthor Index
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