Cidália Fonte

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Assistant Professor

University of Coimbra

Portugal

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About

Cidália Fonte is an Assistant Professor at the University of Coimbra, Portugal. Her research focuses on land use and land cover mapping, Earth observation, and geospatial data analysis, as evidenced by her recent articles exploring topics such as image segmentation models and geolocating static events using mobile data. She has contributed to studies assessing the accuracy of national and global land cover maps, as well as examining the effects of geospatial data on identifying burnt areas.

Recent Grants

Grant: Close

Production of geographical datasets for the update of the Built-Up Areas Map 2018 / Produção de conjuntos de dados geográficos para atualização da Carta de Áreas Edificadas 2018

Open Date: 2021-07-09

Close Date: 2021-10-07

Grant: Close

Development of methodologies for the accuracy assessment of the SMOS cartographic products

Open Date: 2021-07-08

Close Date: 2022-07-07

Grant: Close

Where?s the Fire? - Identification, positioning and monitoring forest fires with crowdsourced data / Onde está o fogo? - Identificação, posicionamento e monitorização de incêndios florestais com dados disponibilizados pelos cidadãos

Open Date: 2019-03-01

Close Date: 2022-02-28

Grant: Close

ExtremeCGI - Monitoring Extreme Events integrating Crowdsourced Geographic Information and Real-time Sensor Data

Open Date: 2016-12-01

Close Date: 2018-03-01

Grant: Close

Volunteered Geographic Information Towards 3D-Real Estate Cadastre

Open Date: 2014-09-01

Close Date: 2015-08-31

Articles (12)

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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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2023

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (2)

Joaquim Patriarca

Teaching Assistant

University of Coimbra

PORTUGAL

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Hugo Costa

Direção-Geral do Território

PORTUGAL

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Cidália Fonte

Research Interests

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Contact this professor

About

Recent Grants

Articles (12)

Baía dos Tigres - The dynamic of the process

Accuracy Assessment and Comparison of National, European and Global Land Use Land Cover Maps at the National Scale—Case Study: Portugal

Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models

Remotely geolocating static events observed by citizens using data collected by mobile devices

Thematic Comparison between ESA WorldCover 2020 Land Cover Product and a National Land Use Land Cover Map

AUTOMATIC NON-RESIDENTIAL BUILT-UP MAPPING OVER NATIONAL EXTENTS WITH A SENTINEL-2 IMAGE SEGMENTATION MODEL TRAINED WITH ANCILLARY CENSUS DATA

Perspectives on “Earth Observation and GIScience for Agricultural Applications”

GEOGRAPHICAL TRANSFERABILITY OF LULC IMAGE-BASED SEGMENTATION MODELS USING TRAINING DATA AUTOMATICALLY GENERATED FROM OPENSTREETMAP – CASE STUDY IN PORTUGAL

EFFECTS OF GEOSPATIAL DATA SOURCES ON THE IDENTIFICATION AND CHARACTERIZATION OF BURNT AREAS IN PORTUGAL

Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective

Automatic Extraction and Filtering of OpenStreetMap Data to Generate Training Datasets for Land Use Land Cover Classification

ASSESSING THE ACCURACY OF LAND USE LAND COVER (LULC) MAPS USING CLASS PROPORTIONS IN THE REFERENCE DATA

Collaborators (2)

Joaquim Patriarca

Hugo Costa

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