Björn Waske

Professor

University of Osnabrück

Germany

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Professor Björn Waske is a faculty member at Universität Osnabrück in Germany. His research primarily focuses on remote sensing, particularly the application of UAV technology and deep learning methodologies for soil texture prediction, terrain analysis, and agricultural assessment. Recent publications include studies on high-resolution imagery for farmland quality evaluation and vegetation change analysis in various landscapes.

Articles (15)

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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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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (3)

Michael Förster

Technische Universität Berlin

GERMANY

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Thomas Jarmer

University of Osnabrück

GERMANY

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Antara Dasgupta

W1 Tenure Track Juniorprofessorin in Data Driven Computing in Civil Engineering

RWTH Aachen University

GERMANY

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Björn Waske

Research Interests

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About

Articles (15)

Multi-Modal Vision Transformer for high-resolution soil texture prediction of German agricultural soils using remote sensing imagery

Comparative analysis of UAV-based LiDAR and photogrammetric systems for the detection of terrain anomalies in a historical conflict landscape

Towards robust validation strategies for EO flood maps

Farmland quality assessment using deep learning and UAVs

Multi-Stage Feature Fusion of Multispectral and SAR Satellite Images for Seasonal Crop-Type Mapping at Regional Scale Using an Adapted 3D U-Net Model

Individual tree detection and crown delineation in the Harz National Park from 2009 to 2022 using mask R–CNN and aerial imagery

Classifying Stand Compositions in Clover Grass Based on High-Resolution Multispectral UAV Images

Analyzing Gradual Vegetation Changes in the Athabasca Oil Sands Region Using Landsat Data

Detecting Historical Terrain Anomalies With UAV-LiDAR Data Using Spline-Approximation and Support Vector Machines

Estimating LAI From Winter Wheat Using UAV Data and CNNs

Mapping Lower Saxony's salt marshes using temporal metrics of multi-sensor satellite data

Mapping regional surface water volume variation in reservoirs in northeastern Brazil during 2009–2017 using high-resolution satellite images

Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series

Multitemporal optical and radar metrics for wetland mapping at national level in Albania

Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks

Collaborators (3)

Michael Förster

Thomas Jarmer

Antara Dasgupta

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