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University of Bonn: Bonn, DE

2021-01-01 to present | PhD Student (Institute of Geodesy and Geoinformation)
Employment
Source: Self-asserted source
Timo Tjaden Stomberg

Works (7)

Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery

IEEE Geoscience and Remote Sensing Letters
2024 | Journal article
DOI: 10.1109/LGRS.2023.3335473
Contributors: Ahmed Emam; Timo T. Stomberg; Ribana Roscher
Source: check_circle
Crossref

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

Frontiers in Artificial Intelligence
2023-12-01 | Journal article
DOI: 10.3389/frai.2023.1278118
Part of ISSN: 2624-8212
Contributors: Timo T. Stomberg; Johannes Leonhardt; Immanuel Weber; Ribana Roscher
Source: Self-asserted source
Timo Tjaden Stomberg

MapInWild: A remote sensing dataset to address the question of what makes nature wild [Software and Data Sets]

IEEE Geoscience and Remote Sensing Magazine
2023-03 | Journal article
DOI: 10.1109/MGRS.2022.3226525
Contributors: Burak Ekim; Timo T. Stomberg; Ribana Roscher; Michael Schmitt
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Crossref

Exploring Wilderness Characteristics Using Explainable Machine Learning in Satellite Imagery

2022 | Preprint
DOI: 10.48550/ARXIV.2203.00379
Contributors: Timo T. Stomberg; Taylor Stone; Johannes Leonhardt; Immanuel Weber; Ribana Roscher
Source: Self-asserted source
Timo Tjaden Stomberg

Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties

[]
2022-01-19 | Preprint
DOI: 10.5194/gmd-2022-2
Source: Self-asserted source
Timo Tjaden Stomberg

AQ-Bench: a benchmark dataset for machine learning on global air quality metrics

Earth System Science Data
2021-06-24 | Journal article
DOI: 10.5194/essd-13-3013-2021
Part of ISSN: 1866-3516
Source: Self-asserted source
Timo Tjaden Stomberg

JUNGLE-NET: USING EXPLAINABLE MACHINE LEARNING TO GAIN NEW INSIGHTS INTO THE APPEARANCE OF WILDERNESS IN SATELLITE IMAGERY

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2021-06-17 | Journal article
DOI: 10.5194/isprs-annals-v-3-2021-317-2021
Part of ISSN: 2194-9050
Source: Self-asserted source
Timo Tjaden Stomberg

Peer review (2 reviews for 1 publication/grant)

Review activity for ISPRS journal of photogrammetry and remote sensing. (2)
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