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Dagmar Müller

Observed names: Dagmar Muller, Müller, Dagmar
ORCID: 0000-0002-5451-8337
Observed ORCID: 0000-0002-5451-8337
OpenAlex ID: A5058877813
An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI)
2019 · Shubha Sathyendranath, Robert Brewin, et al. · Sensors · 644
The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms
2013 · Robert J.W. Brewin, Shubha Sathyendranath, et al. · Remote Sensing of Environment · 207
The OLCI Neural Network Swarm (ONNS): A Bio-Geo-Optical Algorithm for Open Ocean and Coastal Waters
2017 · Martin Hieronymi, Dagmar Müller, et al. · Frontiers in Marine Science · 129
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Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies
2023 · Laura Carrea, Jean-François Crétaux, et al. · Scientific Data · 90
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The Ocean Colour Climate Change Initiative: I. A methodology for assessing atmospheric correction processors based on in-situ measurements
2015 · Dagmar Müller, Hajo Krasemann, et al. · Remote Sensing of Environment · 87
Mapping mud content and median grain-size of North Sea sediments – A geostatistical approach
2017 · Frank-Detlef Bockelmann, Walter Puls, et al. · Marine Geology · 84
Optical model for the Baltic Sea with an explicit CDOM state variable: a case study with Model ERGOM (version 1.2)
2021 · Thomas Neumann, Sampsa Koponen, et al. · Geoscientific model development · 39
A data-driven approach to flag land-affected signals in satellite derived water quality from small lakes
2023 · Dalin Jiang, Jorrit Scholze, et al. · International Journal of Applied Earth Observation and Geoinformation · 31
The Ocean Colour Climate Change Initiative: II. Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors
2015 · Dagmar Müller, Hajo Krasemann, et al. · Remote Sensing of Environment · 31
Ocean color atmospheric correction methods in view of usability for different optical water types
2023 · Martin Hieronymi, Shun Bi, et al. · Frontiers in Marine Science · 30
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Ocean Colour Remote Sensing of Extreme Case-2 Waters
2016 · Martin Hieronymi, Hajo Krasemann, et al. · Living Planet Symposium · 11
Evaluation of OLCI Neural Network Radiometric Water Products
2021 · Ilaria Cazzaniga, Giuseppe Zibordi, et al. · IEEE Geoscience and Remote Sensing Letters · 8
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Corrigendum: Ocean color atmospheric correction methods in view of usability for different optical water types
2023 · Martin Hieronymi, Shun Bi, et al. · Frontiers in Marine Science · 6
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Case 2 Regional Coast Colour: a neural network-based framework for atmospheric correction and in-water retrievals across multiple ocean colour satellite sensors
2026 · Dagmar Müller, Martin Hieronymi, et al. · Frontiers in Remote Sensing · 3
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Regional Ocean Colour Remote Sensing Algorithm for the Baltic Sea
2015 · Martin Hieronymi, Dagmar Müller, et al. · ESASP · 3
Supplementary dataset to the publication by Hieronymi et al.: "Ocean color atmospheric correction methods in view of usability for different optical water types", Frontiers in Marine Science (under review, submitted 22 Dec 2022)
2023 · Hieronymi, Martin, Bi, Shun, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Geostatistische Analyse der Chlorophyllverteilung in der Nordsee basierend auf MERIS-Satellitendaten
2011 · Dagmar Müller · 1
Linking Sentinel 3 data to precursor sensors to provide a long-term climate-quality data record.
2018 · T. J. Jackson, Shubha Sathyendranath, et al. · EGUGA
The Assessment of Atmospheric Correction Processors for MERIS Based on In-Situ Measurements-Updates in OC-CCI Round Robin
2016 · Dagmar Müller, Hajo Krasemann, et al. · ESASP
The Uncertainty of Coastal Water Colour Products of S3: Implications for Scientific Applications and Monitoring
2015 · R. Doerffer, Carsten Brockmann, et al.
Analysis of MERIS Chlorophyll Time Series (2003-2008) or Systematic Errors in MERIS Level 2 Products
2010 · Dagmar Müller, Hajo Krasemann, et al. · ESA Living Planet Symposium
Works count: 28
Citation count: 1,511
H-index: 12
I10-index: 14
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