Katerina Trepekli

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Københavns Universitet

Denmark

Research Interests

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Recent Grants

Grant: Close

Drone borne LiDAR and Artificial Intelligence for assessing carbon storage (MapCLand)

Open Date: 2019-01-01

Close Date: 2022-01-01

Grant: Close

Deep Learning for Accurate Quantification of Carbon Stocks in Cropland and Forest Areas (DeepCrop)

Open Date:

Close Date:

Grant: Close

Detecting Drought Stress of Forest Trees by using Drone-based Remote Sensing Observations

Open Date:

Close Date:

Articles (5)

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Collaborators (6)

Thomas Friborg

Københavns Universitet

DENMARK

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Stefan Oehmcke

Københavns Universitet

DENMARK

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Lasse Møller-Jensen

Københavns Universitet

DENMARK

View details

Thomas Nord-Larsen

Københavns Universitet

DENMARK

View details

Thomas Balstrøm

Københavns Universitet

DENMARK

View details

Pauline Rummel

Københavns Universitet

DENMARK

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Katerina Trepekli

Research Interests

Contact this professor

Recent Grants

Articles (5)

Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR

Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance

UAV-borne, LiDAR-based elevation modelling

Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Deriving Aerodynamic Roughness Length at Ultra-High Resolution in Agricultural Areas Using UAV-Borne LiDAR

Collaborators (6)

Thomas Friborg

Stefan Oehmcke

Lasse Møller-Jensen

Thomas Nord-Larsen

Thomas Balstrøm

Pauline Rummel

Make your next move.