Adrián Pascual

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Research Assistant Professor at UMD Geography & NASA GEDI Science Team

University of Maryland

United States

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Adrián Pascual is a Research Assistant Professor at the University of Maryland, USA. His research focuses on forest carbon monitoring, utilizing advanced remote sensing techniques such as LiDAR to examine forest structure and biomass dynamics, particularly in Mediterranean ecosystems. Recent publications highlight his investigations into the impacts of fire severity on forest biomass and the integrated assessment of carbon emissions from forest fires.

Recent Grants

Grant: Close

MODFIRE

Open Date: 2019-07-01

Close Date:

Grant: Close

MODFIRE

Open Date: 2019-07-01

Close Date: 2022-06-01

Grant: Close

Best PhD thesis 2018. Accésit

Open Date: 2019-04-01

Close Date:

Grant: Close

Towards enhanced tree-level planning using laser scanning and spatially-explicit tree selection methods

Open Date: 2019-03-01

Close Date: 2019-03-01

Grant: Close

MEDFOR Research Associated

Open Date: 2019-02-01

Close Date: 2019-03-01

Articles (19)

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2022

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2022

Collaborators (12)

Xiaoye Tong

University of Copenhagen

DENMARK

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Frederico Tupinamba-Simoes

Universidad de Valladolid

SPAIN

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Atticus Stovall

Assistant Research Professor

NASA Goddard Space Flight Center

UNITED STATES

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Martin Brandt

Københavns Universitet

DENMARK

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Sizhuo Li

Københavns Universitet

DENMARK

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Thomas Nord-Larsen

Københavns Universitet

DENMARK

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Maurice Mugabowindekwe

Københavns Universitet

DENMARK

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Susana Barreiro

Assitant Professor

University of Lisbon, School of Agriculture

PORTUGAL

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Juan Guerra-Hernández

University of Lisbon

PORTUGAL

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José Miguel Cardoso Pereira

Instituto Superior de Agronomia

PORTUGAL

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Felipe Bravo

Full professor and Senior researcher

Universidad de Valladolid

SPAIN

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Lars Eklundh

Professor

Lund University

SWEDEN

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Adrián Pascual

Research Interests

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About

Recent Grants

Articles (19)

Combining hand-held and drone-based lidar for forest carbon monitoring: insights from a Mediterranean mixed forest in central Portugal

Using airborne LiDAR and enhanced-geolocated GEDI metrics to map structural traits over a Mediterranean forest

Calibration of GEDI footprint aboveground biomass models in Mediterranean forests with NFI plots: A comparison of approaches

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

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

The overlooked contribution of trees outside forests to tree cover and woody biomass across Europe

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

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

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

Correction of phenology-induced effects in forest canopy height models based on airborne laser scanning data. Insights from the deciduous mountain forests in Picos de Europa National Park in Spain

Tree canopy extent and height change in Europe, 2001–2021, quantified using Landsat data archive

Evaluation of mushroom production potential by combining spatial optimization and LiDAR-based forest mapping data

Using multi-temporal tree inventory data in eucalypt forestry to benchmark global high-resolution canopy height models. A showcase in Mato Grosso, Brazil

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

Integrating ecosystem services modeling and efficiencies in decision-support models conceptualization for watershed management

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

Optimizing invasive species management using mathematical programming to support stewardship of water and carbon-based ecosystem services

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

Using mixed integer programming and airborne laser scanning to generate forest management units

Collaborators (12)

Xiaoye Tong

Frederico Tupinamba-Simoes

Atticus Stovall

Martin Brandt

Sizhuo Li

Thomas Nord-Larsen

Maurice Mugabowindekwe

Susana Barreiro

Juan Guerra-Hernández

José Miguel Cardoso Pereira

Felipe Bravo

Lars Eklundh

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