Joana Cardoso-Fernandes

Orcid: 0000-0001-8265-3897

According to our database1, Joana Cardoso-Fernandes authored at least 23 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry.
Proceedings of the 11th International Conference on Geographical Information Systems Theory, 2025

Innovative Hyperspectral Data Fusion for Enhanced Mineral Prospectivity Mapping.
Proceedings of the 11th International Conference on Geographical Information Systems Theory, 2025

Exploring and Mapping Marine Placers in Vigo Estuary Shoreline Using GIS Cartographic Tools.
Proceedings of the 11th International Conference on Geographical Information Systems Theory, 2025

Evaluation of EnMAP Hyperspectral Data for the Identification of Placers in the Rias Baixas Region (Spain).
Proceedings of the 11th International Conference on Geographical Information Systems Theory, 2025

2024
Convolutional Neural Networks Applied to Antimony Quantification via Soil Laboratory Reflectance Spectroscopy in Northern Portugal: Opportunities and Challenges.
Remote. Sens., June, 2024

Endmember Extraction for LCT Pegmatite Detection in Brazil - A New Approach for Greenfield Prospection using Hyperspectral Data.
Proceedings of the IGARSS 2024, 2024

Unsupervised Learning Applied to Sentinel-1 for Shallow Waters Exploration in Galicia (Spain).
Proceedings of the IGARSS 2024, 2024

Multi-Sensor Approach for Cobalt Exploration in Asturias (Spain) Using Machine Learning Algorithms.
Proceedings of the IGARSS 2024, 2024

2023
Spectral Unmixing and The Potential of Worldview-3 Satellite Data for Pegmatite Exploration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A LCT Pegmatite Spectral Library of the Aldeia Spodumene Deposit: Contributes to Mineral Exploration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway.
Remote. Sens., 2022

Spectrometry Analysis Techniques for LCT Pegmatite Halo Identification: The Role of European Projects.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Assessing the PRISMA Potential for Mineral Exploration to Vector Low-Grade Lithium Deposits.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Interpretation of the Reflectance Spectra of Lithium (Li) Minerals and Pegmatites: A Case Study for Mineralogical and Lithological Identification in the Fregeneda-Almendra Area.
Remote. Sens., 2021

Analyses of Li-Rich Minerals Using Handheld LIBS Tool.
Data, 2021

Tools for Remote Exploration: A Lithium (Li) Dedicated Spectral Library of the Fregeneda-Almendra Aplite-Pegmatite Field.
Data, 2021

Validation of Remote Sensing Techniques in Greenfield Exploration Areas for Lithium (LI) in Central Portugal: A Study Case.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Semi-Automatization of Support Vector Machines to Map Lithium (Li) Bearing Pegmatites.
Remote. Sens., 2020

Evaluation of Temperature in a Self -Burning Coal Waste Pile Considering UAV Data and in Situ Measurements.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Multi-Scale Approach using Remote Sensing Techniques for Lithium Pegmatite Exploration: First Results.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Lithium (LI) Pegmatite Mapping using Artificial Neural Networks (ANNS): Preliminary Results.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

An Integrated Environmental Monitoring Approach through the Development of Coal Mine, a GIS Open Source Application.
Proceedings of the 6th International Conference on Geographical Information Systems Theory, 2020

2019
Remote sensing data in lithium (Li) exploration: A new approach for the detection of Li-bearing pegmatites.
Int. J. Appl. Earth Obs. Geoinformation, 2019


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