Stefan Oehmcke

Københavns Universitet

Denmark

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Articles (12)

Year:

2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2021

Collaborators (20)

Yan Cheng

Københavns Universitet

DENMARK

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Xiaoye Tong

University of Copenhagen

DENMARK

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Emil Smith

Aarhus University

DENMARK

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Hans Skov-Petersen

Københavns Universitet

DENMARK

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Thomas Friborg

Københavns Universitet

DENMARK

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Stephanie Horion

Københavns Universitet

DENMARK

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Dimitri Gominski

Københavns Universitet

DENMARK

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Martin Brandt

Københavns Universitet

DENMARK

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Sizhuo Li

Københavns Universitet

DENMARK

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Bo Markussen

Københavns Universitet

DENMARK

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Gyula Mate Kovács

Københavns Universitet

DENMARK

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Rasmus Fensholt

Professor

University of Copenhagen

DENMARK

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David Reimer

Aarhus University

DENMARK

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Andrew Davies

Assistant Professor

Harvard University

UNITED STATES

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Yang Xu

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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Katerina Trepekli

Københavns Universitet

DENMARK

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Patrik Karlsson Nyed

Københavns Universitet

DENMARK

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Anton Vrieling

Associate Professor

University of Twente

NETHERLANDS

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Stefan Oehmcke

Research Interests

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Articles (12)

Predictability of abrupt shifts in dryland ecosystem functioning

Modelling Residential Fire Vulnerability of Denmark

Scattered tree death contributes to substantial forest loss in California

Global mapping of human-transformed dike-pond systems

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

More than one quarter of Africa’s tree cover is found outside areas previously classified as forest

Deep learning enables image-based tree counting, crown segmentation, and height prediction at national scale

Remember to Correct the Bias When Using Deep Learning for Regression!

High nitrous oxide emissions from temporary flooded depressions within croplands

Multi-scale pseudo labeling for unsupervised deep edge detection

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

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Collaborators (20)

Yan Cheng

Xiaoye Tong

Emil Smith

Hans Skov-Petersen

Thomas Friborg

Stephanie Horion

Dimitri Gominski

Martin Brandt

Sizhuo Li

Bo Markussen

Gyula Mate Kovács

Rasmus Fensholt

David Reimer

Andrew Davies

Yang Xu

Thomas Nord-Larsen

Maurice Mugabowindekwe

Katerina Trepekli

Patrik Karlsson Nyed

Anton Vrieling

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