Ribana Roscher

About Ribana Roscher

Ribana Roscher, With an exceptional h-index of 24 and a recent h-index of 22 (since 2020), a distinguished researcher at Rheinische Friedrich-Wilhelms-Universität Bonn, specializes in the field of Pattern Recognition, Machine Learning, Remote Sensing, Plant Phenotyping.

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

Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness

Meta-learning to address diverse Earth observation problems across resolutions

A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning

A standardized, globally applicable method for detecting spatial patterns at alpine treeline ecotones

Location-aware adaptive normalization: A deep learning approach for wildfire danger forecasting

Data-Centric Digital Agriculture: A Perspective

Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery

Ribana Roscher Information

University

Position

Institute of Geodesy and Geoinformation

Citations(all)

2718

Citations(since 2020)

2348

Cited By

762

hIndex(all)

24

hIndex(since 2020)

22

i10Index(all)

36

i10Index(since 2020)

31

Email

University Profile Page

Rheinische Friedrich-Wilhelms-Universität Bonn

Google Scholar

View Google Scholar Profile

Ribana Roscher Skills & Research Interests

Pattern Recognition

Machine Learning

Remote Sensing

Plant Phenotyping

Top articles of Ribana Roscher

Title

Journal

Author(s)

Publication Date

Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry

Frontiers in Artificial Intelligence

Eike Bolmer

Adili Abulaitijiang

Jürgen Kusche

Ribana Roscher

2024/2/22

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness

IEEE Geoscience and Remote Sensing Letters

Ahmed Emam

Mohamed Farag

Ribana Roscher

2024/2/12

Meta-learning to address diverse Earth observation problems across resolutions

Communications Earth & Environment

Marc Rußwurm

Sherrie Wang

Benjamin Kellenberger

Ribana Roscher

Devis Tuia

2024/1/12

A modular framework for FAIR shallow landslide susceptibility mapping based on machine learning

Natural Hazards

Ann-Kathrin Edrich

Anil Yildiz

Ribana Roscher

Alexander Bast

Frank Graf

...

2024/4/8

A standardized, globally applicable method for detecting spatial patterns at alpine treeline ecotones

Nishtha Prakash

Ribana Roscher

Maaike Y Bader

2024/3/7

Location-aware adaptive normalization: A deep learning approach for wildfire danger forecasting

IEEE Transactions on Geoscience and Remote Sensing

Mohamad Hakam Shams Eddin

Ribana Roscher

Juergen Gall

2023/6/12

Data-Centric Digital Agriculture: A Perspective

arXiv preprint arXiv:2312.03437

Ribana Roscher

Lukas Roth

Cyrill Stachniss

Achim Walter

2023/12/6

Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery

Frontiers in Artificial Intelligence

Timo Tjaden Stomberg

Johannes Leonhardt

Immanuel Weber

Ribana Roscher

2023

Meteor: Meta-learning connecting earth problems observed from space

Marc Conrad Russwurm

Ribana Roscher

Benjamin Alexander Kellenberger

Sherrie Wang

Devis Tuia

2023/6/1

Leveraging activation maximization and generative adversarial training to recognize and explain patterns in natural areas in satellite imagery

IEEE Geoscience and Remote Sensing Letters

Ahmed Emam

Timo T Stomberg

Ribana Roscher

2023/11/21

Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods

Mohamed Farag

Jana Kierdorf

Ribana Roscher

2023

Eddy identification from along-track altimeter data with multi-modal deep learning

EGU General Assembly Conference Abstracts

Adili Abulaitijiang

Eike Bolmer

Ribana Roscher

Jürgen Kusche

Luciana Fenoglio-Marc

2023/5

Few-Shot Remote Sensing Image Classification with Meta-Learning

Authorea Preprints

Surbhi Sharma

Ribana Roscher

Morris Riedel

Gabriele Cavallaro

2023/10/31

Leveraging Bioclimatic Context for Supervised and Self-Supervised Land Cover Classification

Johannes Leonhardt

Lukas Drees

Jürgen Gall

Ribana Roscher

2023

Framework for creating daily semantic segmentation maps of classified eddies using SLA along-track altimetry data

EGU General Assembly Conference Abstracts

Eike Bolmer

Adili Abulaitijiang

Luciana Fenoglio-Marc

Jürgen Kusche

Ribana Roscher

2023/5

Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances

Niklas Penzel

Jana Kierdorf

Ribana Roscher

Joachim Denzler

2023/10/2

Data-Centric Machine Learning for Geospatial Remote Sensing Data

arXiv preprint arXiv:2312.05327

Ribana Roscher

Marc Rußwurm

Caroline Gevaert

Michael Kampffmeyer

Jefersson A dos Santos

...

2023/12/8

Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower

IEEE Geoscience and Remote Sensing Letters

Jana Kierdorf

Ribana Roscher

2023

GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER

Journal of Field Robotics

Jana Kierdorf

Laura Verena Junker‐Frohn

Mike Delaney

Mariele Donoso Olave

Andreas Burkart

...

2023/3

A survey of uncertainty in deep neural networks

Artificial Intelligence Review

Jakob Gawlikowski

Cedrique Rovile Njieutcheu Tassi

Mohsin Ali

Jongseok Lee

Matthias Humt

...

2023/10

See List of Professors in Ribana Roscher University(Rheinische Friedrich-Wilhelms-Universität Bonn)

Co-Authors

H-index: 76
Xiao Xiang Zhu

Xiao Xiang Zhu

Technische Universität München

H-index: 44
Wolfgang Förstner

Wolfgang Förstner

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 37
Heiner Kuhlmann

Heiner Kuhlmann

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 24
Jochen Garcke

Jochen Garcke

Rheinische Friedrich-Wilhelms-Universität Bonn

H-index: 20
Muhammad Shahzad

Muhammad Shahzad

National University of Sciences and Technology

H-index: 17
Anna Kruspe

Anna Kruspe

Technische Universität München

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