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Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations

International journal of remote sensing, 2018-08, Vol.39 (15-16), p.5211-5235

2018

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Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (12), p.2279

2021

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Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species: a showcase in Spain

Forest ecosystems, 2021-02, Vol.8 (1), p.182-198, Article 14

2021

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Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping—A Mixed Forests Showcase in Spain

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1169

2023

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Forest Road Detection Using LiDAR Data and Hybrid Classification

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (3), p.393

2021

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Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests

GIScience and remote sensing, 2022-12, Vol.59 (1), p.1509-1533

2022

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The Role of Improved Ground Positioning and Forest Structural Complexity When Performing Forest Inventory Using Airborne Laser Scanning

Remote sensing (Basel, Switzerland), 2020-02, Vol.12 (3), p.413

2020

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Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands

Forests, 2017-08, Vol.8 (8), p.300

2017

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Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (24), p.5170

2021

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An integrated assessment of carbon emissions from forest fires beyond impacts on aboveground biomass. A showcase using airborne lidar and GEDI data over a megafire in Spain

Journal of environmental management, 2023-11, Vol.345, p.118709-118709, Article 118709

2023

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Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)

GIScience and remote sensing, 2022-12, Vol.59 (1), p.686-704

2022

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Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

European journal of remote sensing, 2024-12, Vol.57 (1)

2024

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Impact of Calibrating Filtering Algorithms on the Quality of LiDAR-Derived DTM and on Forest Attribute Estimation through Area-Based Approach

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.918

2020

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Integrated LiDAR-supported valuation of biomass and litter in forest ecosystems. A showcase in Spain

The Science of the total environment, 2023-11, Vol.897, p.165364-165364, Article 165364

2023

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High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry

Journal of environmental management, 2022-05, Vol.310, p.114804-114804, Article 114804

2022

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Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data

Forests, 2019-10, Vol.10 (10), p.905

2019

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Comparing Forest Understory Fuel Classification in Portugal Using Discrete Airborne Laser Scanning Data and Satellite Multi-Source Remote Sensing Data

Fire (Basel, Switzerland), 2023-09, Vol.6 (9), p.327

2023

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Spatial connectivity in tree-level decision-support models using mathematical optimization and individual tree mapping

Forest policy and economics, 2022-06, Vol.139, p.102732, Article 102732

2022

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Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems

Forest ecology and management, 2023-06, Vol.538, p.120975, Article 120975

2023

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Assessment of drought effects on survival and growth dynamics in eucalypt commercial forestry using remote sensing photogrammetry. A showcase in Mato Grosso, Brazil

Forest ecology and management, 2022-02, Vol.505, p.119930, Article 119930

2022

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Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal

Science of Remote Sensing, 2024-06, Vol.9, p.100134, Article 100134

2024

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On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

Environmental research letters, 2023-12, Vol.18 (12), p.124042

2023

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Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models

Remote sensing (Basel, Switzerland), 2020-11, Vol.12 (21), p.3599

2020

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Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data

Forest ecology and management, 2021-02, Vol.481, p.118690, Article 118690

2021

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Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations

Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground Biomass Estimates in Mediterranean Forests

Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species: a showcase in Spain

Assessing the Performance of a Handheld Laser Scanning System for Individual Tree Mapping—A Mixed Forests Showcase in Spain

Forest Road Detection Using LiDAR Data and Hybrid Classification

Aboveground biomass mapping by integrating ICESat-2, SENTINEL-1, SENTINEL-2, ALOS2/PALSAR2, and topographic information in Mediterranean forests

The Role of Improved Ground Positioning and Forest Structural Complexity When Performing Forest Inventory Using Airborne Laser Scanning

Use of Multi-Temporal UAV-Derived Imagery for Estimating Individual Tree Growth in Pinus pinea Stands

Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data

An integrated assessment of carbon emissions from forest fires beyond impacts on aboveground biomass. A showcase using airborne lidar and GEDI data over a megafire in Spain

Interpreting the uncertainty of model-based and design-based estimation in downscaling estimates from NFI data: a case-study in Extremadura (Spain)

Using bi-temporal ALS and NFI-based time-series data to account for large-scale aboveground carbon dynamics: the showcase of mediterranean forests

Impact of Calibrating Filtering Algorithms on the Quality of LiDAR-Derived DTM and on Forest Attribute Estimation through Area-Based Approach

Integrated LiDAR-supported valuation of biomass and litter in forest ecosystems. A showcase in Spain

High-resolution planet satellite imagery and multi-temporal surveys to predict risk of tree mortality in tropical eucalypt forestry

Predicting Growing Stock Volume of Eucalyptus Plantations Using 3-D Point Clouds Derived from UAV Imagery and ALS Data

Comparing Forest Understory Fuel Classification in Portugal Using Discrete Airborne Laser Scanning Data and Satellite Multi-Source Remote Sensing Data

Spatial connectivity in tree-level decision-support models using mathematical optimization and individual tree mapping

Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean forest ecosystems

Assessment of drought effects on survival and growth dynamics in eucalypt commercial forestry using remote sensing photogrammetry. A showcase in Mato Grosso, Brazil

Are forest disturbances amplifying or canceling out climate change-induced productivity changes in European forests?

Impact of fire severity on forest structure and biomass stocks using NASA GEDI data. Insights from the 2020 and 2021 wildfire season in Spain and Portugal

On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models

Developing a site index model for P. Pinaster stands in NW Spain by combining bi-temporal ALS data and environmental data

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