Teledetección Ambiental ; Environmental Remote Sensing
GITA
Jet Propulsion Lab
La Cañada Flintridge, Estados UnidosPublicaciones en colaboración con investigadores/as de Jet Propulsion Lab (17)
2022
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Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission
Remote Sensing of Environment, Vol. 270
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Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data
Remote Sensing of Environment, Vol. 268
2021
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Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 172, pp. 79-94
2020
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Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach
Remote Sensing of Environment, Vol. 247
2019
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Forest degradation and biomass loss along the Chocó region of Colombia
Carbon Balance and Management, Vol. 14, Núm. 1
2018
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A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 10, pp. 3453-3463
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Carbon storage potential in degraded forests of Kalimantan, Indonesia
Environmental Research Letters, Vol. 13, Núm. 9
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Comparison of Small-and Large-Footprint Lidar Characterization of Tropical Forest Aboveground Structure and Biomass: A Case Study from Central Gabon
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, Núm. 10, pp. 3512-3526
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Machine-learning fusion of PolSAR and LiDAR data for tropical forest canopy height estimation
International Geoscience and Remote Sensing Symposium (IGARSS)
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Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery
International Journal of Applied Earth Observation and Geoinformation, Vol. 66, pp. 159-173
2017
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Extrapolating forest canopy fuel properties in the California Rim fire by combining airborne LiDAR and landsat OLI data
Remote Sensing, Vol. 9, Núm. 4
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Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR
Carbon Balance and Management, Vol. 12, Núm. 1
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Impacts of airborne lidar pulse density on estimating biomass stocks and changes in a selectively logged tropical forest
Remote Sensing, Vol. 9, Núm. 10
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Predicting stem total and assortment volumes in an industrial Pinus taeda L. forest plantation using airborne laser scanning data and random forest
Forests, Vol. 8, Núm. 7
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Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data
Journal of Geophysical Research: Biogeosciences, Vol. 122, Núm. 2, pp. 340-353
2016
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Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat
Remote Sensing of Environment, Vol. 175, pp. 231-241
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Canopy structural attributes derived from AVIRIS imaging spectroscopy data in a mixed broadleaf/conifer forest
Remote Sensing of Environment, Vol. 182, pp. 208-226