Nathalie Guimarães

According to our database, Nathalie Guimarães authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Identification of Aphids Using Machine Learning Classifiers on UAV-Based Multispectral Data.

Nathalie Guimarães, Luís Pádua, Joaquim João Sousa, Albino Bento, Pedro Couto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

ALMOND ORCHARD MANAGEMENT USING MULTI-TEMPORAL UAV DATA: A PROOF OF CONCEPT.

Nathalie Guimarães, Luís Pádua, Joaquim João Sousa, Albino Bento, Pedro Couto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities.

Nathalie Guimarães, Luís Pádua, Pedro Marques, Nuno Silva, Emanuel Peres, Joaquim João Sousa

Remote. Sens., 2020

Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery.

Luís Pádua, Nathalie Guimarães, Telmo Adão, António M. R. Sousa, Emanuel Peres, Joaquim João Sousa

ISPRS Int. J. Geo Inf., 2020

VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software.

Nathalie Guimarães, Luís Pádua, Telmo Adão, Jonás Hruska, Emanuel Peres, Joaquim João Sousa

ISPRS Int. J. Geo Inf., 2020

Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery.

Luís Pádua, Telmo Adão, Jonás Hruska, Nathalie Guimarães, Pedro Marques, Emanuel Peres, Joaquim João Sousa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Mysense-Webgis: A Graphical Map Layering-Based Decision Support Tool for Agriculture.

Telmo Adão, Abel Soares, Luís Pádua, Nathalie Guimarães, Tatiana M. Pinho, Joaquim João Sousa, Raul Morais, Emanuel Peres

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Classification of an Agrosilvopastoral System Using RGB Imagery from an Unmanned Aerial Vehicle.

Luís Pádua, Nathalie Guimarães, Telmo Adão, Pedro Marques, Emanuel Peres, António M. R. Sousa, Joaquim João Sousa

Proceedings of the Progress in Artificial Intelligence, 2019