Sebastian van der Linden

Professor

University of Greifswald

Germany

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Professor Sebastian van der Linden is a faculty member at Universität Greifswald in Germany. His research focuses on remote sensing, land cover fraction mapping, and peatland degradation, as evidenced by his recent publications on microtopography modeling and crop mapping. He has contributed to the development of annual land cover datasets for the Baltic Sea Region and explored the potentials of spaceborne imaging spectroscopy in environmental monitoring.

Articles (20)

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2025

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Collaborators (14)

Dominik Wiedenhofer

AUSTRIA

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Achim Röder

Senior Lecturer/Akademischer Oberrat

University of Trier

GERMANY

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Hans Joosten

GERMANY

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Stefan Erasmi

Johann Heinrich von Thünen-Institut

GERMANY

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Rudy van Diggelen

Professor

University of Antwerp

BELGIUM

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Patrick Hostert

Full Professor: Geomatics (Remote Sensing)

Humboldt-Universität zu Berlin

GERMANY

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Doris Virág

University of Natural Resources and Life Sciences

AUSTRIA

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Lesław Wołejko

West Pomeranian University of Technology

POLAND

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Maud Lanau

Assistant Professor

Chalmers University of Technology

SWEDEN

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André Baumgart

University of Natural Resources and Life Sciences Vienna

AUSTRIA

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David Frantz

University of Trier

GERMANY

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Helmut Haberl

Professor of Socio-Ecological Metabolism

University of Natural Resources and Life Sciences

AUSTRIA

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Henning Buddenbaum

University of Trier

GERMANY

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Dominik Zak

Aarhus University

DENMARK

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Sebastian van der Linden

Research Interests

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Articles (20)

HuHoLa: A novel Hummock-Hollow-Lawn mire microtopography modelling approach

Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics

Learning the variations in annual spectral-temporal metrics to enhance the transferability of regression models for land cover fraction monitoring

Temporally transferable crop mapping with temporal encoding and deep learning augmentations

The EnMAP spaceborne imaging spectroscopy mission: Initial scientific results two years after launch

An annual land cover dataset for the Baltic Sea Region with crop types and peat bogs at 30 m from 2000 to 2022

Remote sensing of peatland degradation in temperate and boreal climate zones – A review of the potentials, gaps, and challenges

High-resolution data and maps of material stock, population, and employment in Austria from 1985 to 2018

High‐resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data

Unveiling patterns in human dominated landscapes through mapping the mass of US built structures

Advancing peatland vegetation mapping by spaceborne imaging spectroscopy

EnMAP-Box: Imaging spectroscopy in QGIS

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics

Saving soil carbon, greenhouse gas emissions, biodiversity and the economy: paludiculture as sustainable land use option in German fen peatlands

Rewetting does not return drained fen peatlands to their old selves

Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data

Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping

Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates

High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany

National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series

Collaborators (14)

Dominik Wiedenhofer

Achim Röder

Hans Joosten

Stefan Erasmi

Rudy van Diggelen

Patrick Hostert

Doris Virág

Lesław Wołejko

Maud Lanau

André Baumgart

David Frantz

Helmut Haberl

Henning Buddenbaum

Dominik Zak

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