Philip Marzahn

Professor in Geodesy and Geoinformatics

University of Rostock

Germany

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Professor Philip Marzahn is a faculty member in the Department of Geodesy and Geoinformatics at the University of Rostock, Germany. His research focuses on remote sensing applications, particularly in crop classification, soil moisture estimation, and the environmental impacts of bioenergy technologies. Recent publications highlight his work on machine learning models, satellite imagery analysis, and the development of methodologies for accurate soil moisture assessment.

Articles (12)

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2024

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2024

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (5)

Katarzyna Dabrowska - Zielinska

Head of the Center/ Professor

Institute of Geodesy and Cartography

POLAND

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Erik Borg

Professor (Remote Sensing)

GERMANY

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Arturo Sanchez-Azofeifa

University of Alberta

CANADA

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Francesco Mattia

ITALY

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Peter Dietrich

Head

Helmholtz-Zentrum für Umweltforschung UFZ

GERMANY

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Philip Marzahn

Research Interests

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About

Articles (12)

Transferability of Machine Learning Models for Crop Classification in Remote Sensing Imagery Using a New Test Methodology: A Study on Phenological, Temporal, and Spatial Influences

RTM-Based Downscaling of Medium Resolution Soil Moisture Using Sentinel-1 Data Over Agricultural Fields

Global Soil Moisture Estimation based on GPM IMERG Data using a Site Specific Adjusted Antecedent Precipitation Index

Fractional Vegetation Cover Derived from UAV and Sentinel-2 Imagery as a Proxy for In Situ FAPAR in a Dense Mixed-Coniferous Forest?

Sentinel-1 soil moisture at 1 km resolution: a validation study

Sentinel-1 Backscatter Analysis and Radiative Transfer Modeling of Dense Winter Wheat Time Series

RADOLAN_API: An Hourly Soil Moisture Data Set Based on Weather Radar, Soil Properties and Reanalysis Temperature Data

Considering the Environmental Impacts of Bioenergy Technologies to Support German Energy Transition

Global assessments of two blended microwave soil moisture products CCI and SMOPS with in-situ measurements and reanalysis data

A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements

Evaluation of Different Radiative Transfer Models for Microwave Backscatter Estimation of Wheat Fields

Evaluation of different radiative transfer models for microwave backscatter estimation of wheat fields

Collaborators (5)

Katarzyna Dabrowska - Zielinska

Erik Borg

Arturo Sanchez-Azofeifa

Francesco Mattia

Peter Dietrich

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