Mariana Belgiu

Assistant Professor

University of Twente Faculty of Geo-Information Science and Earth Observation ITC

Netherlands

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About

Mariana Belgiu is an Assistant Professor at the University of Twente Faculty of Geo-Information Science and Earth Observation ITC in the Netherlands. Her research focuses on agricultural remote sensing, dietary diversity in rural households, and the impact of environmental factors on public health, particularly in Ethiopia. She has contributed to various studies on crop mapping using satellite imagery, flood exposure analysis, and nutrition-related challenges in young children.

Articles (14)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2022

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2022

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2021

Collaborators (4)

Caroline Gevaert

Assistant Professor

University of Twente Faculty of Geo-Information Science and Earth Observation ITC

NETHERLANDS

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Claudio Detotto

Associate Professor in Economics

Université de Corse Pasquale Paoli

FRANCE

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Alfred Stein

Professor

University of Twente Faculty of Geo-Information Science and Earth Observation ITC

NETHERLANDS

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Wietske Bijker

University of Twente

NETHERLANDS

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Mariana Belgiu

Research Interests

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About

Articles (14)

Food production and intra-household dietary diversity: evidence from agroecologically diverse rural households in Ethiopia

Exploring the Relation of Livability Mapping and Flood Exposure Analysis by Combining Remote Sensing and Citizen Science

Prevalence and determinants of stunting and anaemia in children aged 6–23 months: A multilevel analysis from rural Ethiopia

Mapping Integrated Crop–Livestock Systems Using Fused Sentinel-2 and PlanetScope Time Series and Deep Learning

Few-Shot Learning for Crop Mapping from Satellite Image Time Series

A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series

Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images

Spatially Explicit Active Learning for Crop-Type Mapping from Satellite Image Time Series

Feature enhancement network for cloud removal in optical images by fusing with SAR images

Design and Use of a Stratum-Based Yield Predictions to Address Challenges Associated with Spatial Heterogeneity and Sample Clustering in Agricultural Fields Using Remote Sensing Data

Examining energy and nutrient production across the different agroecological zones in rural Ethiopia using statistical methods

A spatial statistical study of the distribution of Sardinian nuraghes

Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics

Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine

Collaborators (4)

Caroline Gevaert

Claudio Detotto

Alfred Stein

Wietske Bijker

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