George P. Petropoulos

Assistant Professor

Harokopio University

Greece

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About

George P. Petropoulos is an Assistant Professor at Harokopio University in Greece. His research focuses on coastal vulnerability assessment, geoinformatics, and remote sensing methodologies, as evidenced by his recent articles including studies on automated systems for coastal vulnerability and land surface interactions. He also explores the implications of climate change on coastal regions and employs advanced software tools for environmental analysis.

Articles (30)

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2022

Collaborators (5)

Niki Evelpidou

Associate Professor

National and Kapodistrian University of Athens

GREECE

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Juby Thomas

University of Udine

ITALY

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Spyridon E. Detsikas

Harokopio University of Athens

GREECE

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Anna Karkani

Laboratory Teaching Staff

National and Kapodistrian University of Athens

GREECE

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Kleomenis Kalogeropoulos

Teaching Staff

University of West Attica

GREECE

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George P. Petropoulos

Research Interests

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About

Articles (30)

Assessing Coastal Vulnerability in Finland: A Geoinformation-Based Approach Using the CVI

CVIc: A Web Platform for Automated Coastal Vulnerability Index-based Assessment

Leveraging on the Ts/VI feature space capabilities to study land surface interactions: a new software tool to implement the so-called “analytical triangle”

Wind Field Retrieval from Fengyun-3E Radar Based on a Backpropagation Neural Network

An evaluation of pansharpening algorithms on Worldview-4 satellite imagery over Western Himalaya

Exploring the relationships between coastal vulnerability and socio-economic variables in the context of climate change using geoinformatics for the region of Longyearbyen, Svalbard

A Deep Learning Method for the Automated Mapping of Archaeological Structures from Geospatial Data: A Case Study of Delos Island

Comparative Analysis of Trophic Status Assessment Using Different Sensors and Atmospheric Correction Methods in Greece’s WFD Lake Network

Obtaining a Land Use/Cover Cartography in a Typical Mediterranean Agricultural Field Combining Unmanned Aerial Vehicle Data with Supervised Classifiers

Towards a more robust implementation of the so-called “triangle” method: A new add-on to the SimSphere SVAT model

A novel deep learning change detection approach for estimating spatiotemporal crop field variations from Sentinel-2 imagery

A First Exploration of the Ts/VI “Analytical Triangle” Technique with UAV Imagery for Deriving Key Surface Energy Balance Parameters at Very High Spatial Resolution

Combining Low-Cost UAV Imagery with Machine Learning Classifiers for Accurate Land Use/Land Cover Mapping

Leveraging Sentinel-2 and Geographical Information Systems in Mapping Flooded Regions around the Sesia River, Piedmont, Italy

Extending our understanding on the retrievals of surface energy fluxes and surface soil moisture from the “triangle” technique

Exploring Long Term Impervious Surface Areas (ISA) Dynamics using Landsat imagery, Machine Learning and GEE: the case of Attica, Greece

Assessing multi-source random forest classification and robustness of predictor variables in flooded areas mapping

Effects of Assimilating Ground-Based Microwave Radiometer and FY-3D MWTS-2/MWHS-2 Data in Precipitation Forecasting

Sim2DSphere: A novel modelling tool for the study of land surface interactions

Geoinformation Technology in Support of Arctic Coastal Properties Characterization: State of the Art, Challenges, and Future Outlook

Performance Assessment of Global-EO-Based Precipitation Products against Gridded Rainfall from the Indian Meteorological Department

Appraisal of Climate Response to Vegetation Indices over Tropical Climate Region in India

Temperature and Relative Humidity Profile Retrieval from Fengyun-3D/VASS in the Arctic Region Using Neural Networks

Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides

Potassium Simulation Using HYDRUS-1D with Satellite-Derived Meteorological Data under Boro Rice Cultivation

Examining the variation of soil moisture from cosmic-ray neutron probes footprint: experimental results from a COSMOS-UK site

Tree's detection & health's assessment from ultra-high resolution UAV imagery and deep learning

An Examination of the SMAP Operational Soil Moisture Products Accuracy at the Tibetan Plateau

Impact of Environmental Gradients on Phenometrics of Major Forest Types of Kumaon Region of the Western Himalaya

Improvement of the “Triangle Method” for Soil Moisture Retrieval Using ECOSTRESS and Sentinel-2: Results over a Heterogeneous Agricultural Field in Northern India

Collaborators (5)

Niki Evelpidou

Juby Thomas

Spyridon E. Detsikas

Anna Karkani

Kleomenis Kalogeropoulos

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