プロフィール詳細

プロジェクトを作成

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Dr. Ourania A.に依頼

Netherlands

Remote Sensing & Data Analyst | Technical and Scientific Writing Expert

プロフィール概要

Remote Sensing and Earth Observation Scientist with a PhD in space technologies for ocean applications from TU Delft, Netherlands. My expertise includes massive data processing, algorithm development, software prototyping with the goal to extract actionable insights from radar data for marine, environmental, and geospatial applications. Successfully awarded fellowships and secured sponsorships from leading space agencies (European Space Agency, CNES), with a proven track record in writing high-impact journal papers and competitive scientific proposals to obtain funding. Experienced in presenting complex results to both expert and non-expert audiences. I can help you with: - Processing and analyzing large satellite datasets (SAR, optical, altimetry) - Developing algorithms for geophysical parameter retrieval - Creating software prototypes for satellite data exploitation - Ocean and coastal monitoring using Earth Observation data - Writing and reviewing scientific papers, technical reports, and proposals - Preparing competitive funding applications for research and innovation projects - Presenting technical results clearly to both expert and non-expert audiences

専門分野

• ★ Signal Processing
• ★ Remote Sensing
• ★ Technical & Scientific Writing
• ☆ Data Analysis
• ☆ Image Processing
• ☆ Algorithm Design
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Cleaning
• ☆ Pattern Recognition
• ☆ Earth & Atmospheric Science
• ☆ Oceanography & Marine Science
• ☆ Climate Science
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ LaTex
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ Science Communication

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Feasibility Study, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing

Product Development Prototyping

職務経験

Delft University of Technology

- 現在

PhD Researcher

Technische Universiteit Delft

9月 2020 - 7月 2025

学歴

PhD in Oceanography and Remote Sensing

TU Delft - Netherlands

9月 2020 - 7月 2025

Masters of Science in Geoinformatics

Aristotle University of Thessaloniki - Greece

9月 2015 - 7月 2017

Masters of Science in Geodesy

Aristotle University of Thessaloniki - Greece

9月 2010 - 7月 2015

認定資格

• Monitoring Global Terrestrial Surface Water Height using Remote Sensing

  NASA

  https://www.dropbox.com/scl/fi/70w2e08he98lzo6o5jq0a/ARSET-CERTIFICATE_SWOT_442.pdf?rlkey=j88nure307ni2o5taxs19lrhr&e=1&st=4cqi8ee8&dl=0

  5月 2025 - 現在

• Advanced Ocean Training Course 2023

  European Space Agency

  https://www.dropbox.com/scl/fi/caufrq5n32ohd9pdldnal/OTC23_Certificates.pdf?rlkey=1boifywku0mw5k7ix67m8ctjn&e=1&dl=0

  1月 2023 - 現在

• Artificial Intelligence (AI) for Earth Monitoring

  EUMETSAT

  https://www.dropbox.com/scl/fi/pwbu8l6abcf6346i4b8as/AI4EO.pdf?rlkey=mrlwoc3c66nwokpu7uu36zc24&e=1&dl=0

  1月 2022 - 現在

• Google Earth Engine Training For Earth Observation Applications

  GEO University

  https://www.dropbox.com/scl/fi/a4jtpmeecvyyerm3i4n2f/Google-Earth-Engine-Training-for-EO-Applications.png?rlkey=qw3usabl24v73tyy84hprapmf&e=1&dl=0

  8月 2020 - 現在

• Forest Mapping and Monitoring with SAR Data

  NASA

  https://www.dropbox.com/scl/fi/7d1cr8urmsj4adbn0mhxl/Forest-Mapping-and-Monitoring-with-SAR-Data.pdf?rlkey=qrks5ovd4uck5i0u6ljup7gss&e=1&dl=0

  5月 2020 - 現在

• Observation Theory: Estimating the Unknown

  TU Delft

  https://courses.edx.org/certificates/14469f33abe942b2bda99d089d3d5f64

  10月 2018 - 現在

• Echoes in Space - Introduction to Radar Remote Sensing

  European Space Agency

  https://www.dropbox.com/scl/fi/i7n3pddth1uugrgpmatjd/CERTIFICATE.pdf?rlkey=dyh16c387t7n95zhojo32m1se&e=1&dl=0

  11月 2017 - 現在

出版物

JOURNAL ARTICLE

Ourania Altiparmaki, Øyvind Breivik, Lotfi Aouf, Patrik Bohlinger, Johnny A. Johannessen, Fabrice Collard, Craig Donlon, Gaute Hope, Pieter N. A. M. Visser, Marc Naeije (2024). Influence of Ocean Currents on Wave Modeling and Satellite Observations: Insights From the One Ocean Expedition . Journal of Geophysical Research: Oceans.

Ourania Altiparmaki, Samira Amraoui, Marcel Kleinherenbrink, Thomas Moreau, Claire Maraldi, Pieter N. A. M. Visser, Marc Naeije (2024). Introducing the Azimuth Cutoff as an Independent Measure for Characterizing Sea-State Dynamics in SAR Altimetry . Remote Sensing.

Ourania Altiparmaki, Samira Amraoui, Marcel Kleinherenbrink, Thomas Moreau, Claire Maraldi, Pieter N. A. M. Visser, Marc Naeije (2024). Introducing the Azimuth Cutoff as an Independent Measure for Characterizing Sea-State Dynamics in SAR Altimetry . Remote Sensing.

Ourania Altiparmaki, Samira Amraoui, Pietro Guccione, Thomas Moreau, Marta Alves, Charles Peureux, Lisa Recchia, Claire Maraldi, François Boy, Craig Donlon (2024). Optimal Configuration of Omega-Kappa FF-SAR Processing for Specular and Non-Specular Targets in Altimetric Data: The Sentinel-6 Michael Freilich Study Case . Remote Sensing.

Ourania Altiparmaki, Samira Amraoui, Pietro Guccione, Thomas Moreau, Marta Alves, Charles Peureux, Lisa Recchia, Claire Maraldi, François Boy, Craig Donlon (2024). Optimal Configuration of Omega-Kappa FF-SAR Processing for Specular and Non-Specular Targets in Altimetric Data: The Sentinel-6 Michael Freilich Study Case . Remote Sensing.

Ourania Altiparmaki, Marcel Kleinherenbrink, Frithjof Ehlers, Sergi Hernández, Frédéric Nouguier, Florian Schlembach, Bertrand Chapron (2024). Cross-Spectral Analysis of SAR Altimetry Waveform Tails . IEEE Transactions on Geoscience and Remote Sensing.

Optimal Configuration of Omega-Kappa FF-SAR Processing for Specular and Non-Specular Targets in Altimetric Data: The Sentinel-6 Michael Freilich Study Case @article{5fcc82ce837140fba0e8afa54887def4, title = "Optimal Configuration of Omega-Kappa FF-SAR Processing for Specular and Non-Specular Targets in Altimetric Data: The Sentinel-6 Michael Freilich Study Case", abstract = " In this study, the full-focusing (FF) algorithm is reviewed with the objective of optimizing it for processing data from different types of surfaces probed in altimetry. In particular, this work aims to provide a set of optimal FF processing parameters for the Sentinel-6 Michael Freilich (S6-MF) mission. The S6-MF satellite carries an advanced radar altimeter offering a wide range of potential FF-based applications which are just beginning to be explored and require prior optimization of this processing. In S6-MF, the Synthetic Aperture Radar (SAR) altimeter acquisitions are known to be aliased in the along-track direction. Depending on the target, aliasing can be tolerated or may be a severe impairment to provide the level of performance expected from FF processing. Another key aspect to consider in this optimization study is the unprecedented resolution of the FF processing, which results in a higher posting rate than the standard SAR processing. This work investigates the relationship between posting rate and noise levels and provides recommendations for optimal algorithm configurations in various scenarios, including transponder, open ocean, and specular targets like sea-ice and inland water scenes. The Omega–Kappa (WK) algorithm, which has demonstrated superior CPU efficiency compared to the back-projection (BP) algorithm, is considered for this study. But, unlike BP, it operates in the Doppler frequency domain, necessitating further precise spectral and time domain settings. Based on the results of this work, real case studies using S6-MF acquisitions are presented. We first compare S6-MF FF radargrams with Sentinel-1 (S1) images to showcase the potential of optimally configured FF processing. For highly specular surfaces such as sea-ice, distinct techniques are employed for lead signature identification. S1 relies on image-based lineic reconstruction, while S6-MF utilizes phase coherency of focalized pulses for lead detection. The study also delves into two-dimensional wave spectra derived from the amplitude modulation of image/radargrams, with a focus on a coastal example. This case is especially intriguing, as it vividly illustrates different sea states characterized by varying spectral peak positions over time.", author = "Samira Amraoui and Pietro Guccione and Thomas Moreau and Marta Alves and O. Altiparmaki and Charles Peureux and Lisa Recchia and Claire Maraldi and Fran{\c c}ois Boy and Craig Donlon", year = "2024", doi = "10.3390/rs16061112", language = "English", volume = "16", journal = "Remote Sensing", issn = "2072-4292", publisher = "MDPI", number = "6", } . Remote Sensing.

SAR Altimetry Data as a New Source for Swell Monitoring <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Geophysical Research Letters.

O. Altiparmaki, M. Kleinherenbrink, M.C. Naeije, D.C. Slobbe, P.N.A.M. Visser(2022). SAR altimetry data as a new source for swell monitoring . Geophysical Research Letters. 49. (7). American Geophysical Union

DATA SET

Ourania Altiparmaki, Marc Naeije, Marcel Kleinherenbrink, D. C. (Cornelis) Slobbe, Pieter Visser (2022). Data underlying the publication: "SAR altimetry data as a new source for swell monitoring" .

CONFERENCE POSTER

K. Nielsen, O. Altiparmaki, L. Fenoglio-Marc, M. Passaro, N. Bercher, M. Scagliola, B Abis, M. Fornari, Μ. Restano, J. Benveniste(2021). A New Fully-Focused SAR Altimetry Processor in the ESA G-POD SARvatore Family: Validation and Applications on Inland Waters . HYDROSPACE-GEOGloWS 2021, 7/06/21.

M. Scagliola, O. Altiparmaki, N. Bercher, L. Fenoglio-Marc, K. Nielsen, M. Passaro, M. Restano, B. Abis , M. Fornari, More Authors(2021). The Aresys FF-SAR Service for Cryosat-2 at ESA GPOD . CryoSat 10th Anniversary Science Conference, 14/06/21.