Marco Körner

About Marco Körner

Marco Körner, With an exceptional h-index of 27 and a recent h-index of 25 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of Computer Vision, Machine Learning, Remote Sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Hybrid-Modeling of Land-Atmosphere Fluxes Using Integrated Machine Learning in the ICON-ESM Modeling Framework

Advancing Transnational Assessments of Biodiversity Drivers in European Agriculture with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT)

EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union

EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union

XAI for Early Crop Classification

Generalization Across Sensor-Modalities for Deforestation Assessment

Fully Automatic Generation of Training Data for Building Detection and Classification from Remote Sensing Imagery

Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

Marco Körner Information

University

Position

___

Citations(all)

3231

Citations(since 2020)

3035

Cited By

1059

hIndex(all)

27

hIndex(since 2020)

25

i10Index(all)

45

i10Index(since 2020)

42

Email

University Profile Page

Google Scholar

Marco Körner Skills & Research Interests

Computer Vision

Machine Learning

Remote Sensing

Top articles of Marco Körner

Title

Journal

Author(s)

Publication Date

Hybrid-Modeling of Land-Atmosphere Fluxes Using Integrated Machine Learning in the ICON-ESM Modeling Framework

Reda ElGhawi

Christian Reimers

Reiner Schnur

Markus Reichstein

Marco Körner

...

2024/3/7

Advancing Transnational Assessments of Biodiversity Drivers in European Agriculture with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT)

M Schneider

D Gackstetter

J Prexl

ST Meyer

M Körner

2024/1/19

EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union

arXiv preprint arXiv:2302.10202

Maja Schneider

Tobias Schelte

Felix Schmitz

Marco Körner

2023/2/20

EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union

Scientific Data

Maja Schneider

Tobias Schelte

Felix Schmitz

Marco Körner

2023/9/11

XAI for Early Crop Classification

Ayshah Xuan Chan

Maja Schneider

Marco Körner

2023

Generalization Across Sensor-Modalities for Deforestation Assessment

Joana Reuss

Michael Engel

Stephanie Tumampos

Marco Körner

2023/7/16

Fully Automatic Generation of Training Data for Building Detection and Classification from Remote Sensing Imagery

Yixuan Wang

Hai Huang

Coleen Cabalo

Marco Körner

Helmut Mayer

2023/7/16

Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

Environmental Research Letters

Reda ElGhawi

Basil Kraft

Christian Reimers

Markus Reichstein

Marco Körner

...

2023/3/7

Hybrid machine learning model of coupled carbon and water cycles

Zavud Baghirov

Basil Kraft

Martin Jung

Marco Körner

Markus Reichstein

2023/2/22

Towards Understanding the Impact of European Agriculture on Biodiversity with an Updated Hierarchical Crop and Agriculture Taxonomy (HCAT)

Maja Schneider

David Gackstetter

Jonathan Prexl

Sebastian T Meyer

Marco Körner

2023/12/11

Estimating global terrestrial water storage components by a physically constrained recurrent neural network

EGU General Assembly Conference Abstracts

Basil Kraft

Martin Jung

Marco Körner

Sujan Koirala

Markus Reichstein

2022/5

Prediction of multi-year winter wheat yields at the field level with satellite and climatological data

Computers and Electronics in Agriculture

Michael Marszalek

Marco Körner

Urs Schmidhalter

2022/3/1

Early crop-type mapping under climate anomalies

Michael Marszalek

Maximilian Lösch

Marco Körner

Urs Schmidhalter

2022/1/17

Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data

arXiv preprint arXiv:2210.07178

Maja Schneider

Christian Marchington

Marco Körner

2022/9/19

Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring

Maja Schneider

Marco Körner

2022/7/17

Hybrid Modelling of Land-Atmosphere Fluxes: Estimating Evapotranspiration using Combined Physics-Based and Data-Driven Machine Learning

EGU General Assembly Conference Abstracts

Reda ElGhawi

Alexander J Winkler

Basil Kraft

Christian Reimers

Marco Körner

...

2022/5

[Re] Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention

ReScience C

Maja Schneider

Marco Körner

2021/5/28

Towards hybrid modeling of the global hydrological cycle

Hydrology and Earth System Sciences

Basil Kraft

Martin Jung

Marco Körner

Sujan Koirala

Markus Reichstein

2022/3/23

Derivation of Geometrically and Semantically Annotated UAV Datasets at Large Scales from 3D City Models

Sidi Wu

Lukas Liebel

Marco Körner

2021/1/10

Recurrent Neural Networks and the Temporal Component

Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences

Marco Körner

Marc Rußwurm

2021/9/27

See List of Professors in Marco Körner University(Technische Universität München)

Co-Authors

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