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Publications

2019

UAV-Based Automatic Detection and Monitoring of Chestnut Trees

Authors
Marques, P; Padua, L; Adao, T; Hruska, J; Peres, E; Sousa, A; Sousa, JJ;

Publication
Remote Sensing

Abstract
Unmanned aerial vehicles have become a popular remote sensing platform for agricultural applications, with an emphasis on crop monitoring. Although there are several methods to detect vegetation through aerial imagery, these remain dependent of manual extraction of vegetation parameters. This article presents an automatic method that allows for individual tree detection and multi-temporal analysis, which is crucial in the detection of missing and new trees and monitoring their health conditions over time. The proposed method is based on the computation of vegetation indices (VIs), while using visible (RGB) and near-infrared (NIR) domain combination bands combined with the canopy height model. An overall segmentation accuracy above 95% was reached, even when RGB-based VIs were used. The proposed method is divided in three major steps: (1) segmentation and first clustering; (2) cluster isolation; and (3) feature extraction. This approach was applied to several chestnut plantations and some parameters—such as the number of trees present in a plantation (accuracy above 97%), the canopy coverage (93% to 99% accuracy), the tree height (RMSE of 0.33 m and R2 = 0.86), and the crown diameter (RMSE of 0.44 m and R2 = 0.96)—were automatically extracted. Therefore, by enabling the substitution of time-consuming and costly field campaigns, the proposed method represents a good contribution in managing chestnut plantations in a quicker and more sustainable way.

2019

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

Authors
Pádua, L; Guimarães, N; Adão, T; Marques, P; Peres, E; Sousa, A; Sousa, JJ;

Publication
Progress in Artificial Intelligence - Lecture Notes in Computer Science

Abstract

2018

Multi-Temporal Analysis of Forestry and Coastal Environments Using UASs

Authors
Padua, L; Hruska, J; Bessa, J; Adao, T; Martins, LM; Goncalves, JA; Peres, E; Sousa, AMR; Castro, JP; Sousa, JJ;

Publication
Remote Sensing

Abstract

2018

Vineyard properties extraction combining UAS-based RGB imagery with elevation data

Authors
Padua, L; Marques, P; Hruska, J; Adao, T; Bessa, J; Sousa, A; Peres, E; Morais, R; Sousa, JJ;

Publication
International Journal of Remote Sensing

Abstract

2018

Deep Learning-Based Methodological Approach for Vineyard Early Disease Detection Using Hyperspectral Data

Authors
Hruska, J; Adao, T; Padua, L; Marques, P; Peres,; Sousa, A; Morais, R; Sousa, JJ;

Publication
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

Abstract

Supervised
thesis

2017

Agroforestry management system for UAV-based time series data analysis focused on vineyards and chestnut trees

Author
Luís Pádua

Institution
UTAD

2016

A Gestão do tempo em empresas de desenvolvimento de software:um estudo de caso

Author
Marco António Pinto de Almeida

Institution
UTAD

2016

Sistema de Navegação para o interior de edificios

Author
Celso Almeida Pereira

Institution
UTAD

2016

Classificação de Espécies Arbóreas em Imagens Aéreas de Alta Resolução

Author
Pedro Miguel Mota Marques

Institution
UTAD

2016

Estimativa de Produção Agrícola

Author
Marcos António Melo Carneiro

Institution
UTAD