Banca de DEFESA: WESLEY JOSÉ DOS SANTOS MARINHO

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : WESLEY JOSÉ DOS SANTOS MARINHO
DATE: 18/08/2025
TIME: 09:00
LOCAL: Videoconferência na plataforma Google Meet: meet.google.com/shn-qovc-owr
TITLE:

Detection of Erosive Processes with Machine Learning and the Application of the Universal Soil Loss Equation (USLE)

KEY WORDS:

Soil Erosion, Machine Learning, Universal Soil Loss Equation (USLE),
Convolutional Neural Network (CNN), Unet, D-LinkNet, LinkNet

 

PAGES: 85
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
SPECIALTY: Transmissão da Energia Elétrica, Distribuição da Energia Elétrica
SUMMARY:

The research in question investigates the detection of erosion processes through machine
learning and the application of the Universal Soil Loss Equation (USLE). The primary
issue addressed by the study is the identification and prevention of soil erosion, a
significant environmental problem. Key objectives include implementing techniques to
early detect erosion processes near power transmission lines, using the USLE as an additional
validation factor. The motivation behind the study is to mitigate damage to power
distribution networks caused by erosion and to seek effective methods for monitoring and
preventing erosion.
The methodology involves using machine learning algorithms, specifically Convolutional
Neural Networks (CNNs), to analyze satellite images and identify areas prone to
erosion. Additionally, the USLE is applied as a tool for calculating soil loss, aiding in
the assessment of the likelihood of erosion in specific locations. The main contributions
of the study include integrating machine learning technologies in the detection of erosion
processes and validating these techniques with the USLE, demonstrating its effectiveness
in this context.
The results indicate the feasibility and accuracy of using machine learning for detecting
erosion processes, as well as the importance of the USLE as an evaluation method.
The study’s conclusions highlight the relevance of the practical application of these techniques
for the preservation of power transmission lines and more efficient monitoring
of their surroundings. Future research directions include expanding the study to other
regions and improving the detection methodology.

 

COMMITTEE MEMBERS:
Interno - 2579664 - ALLAN DE MEDEIROS MARTINS
Externa à Instituição - MARIA DE FATIMA ALVES DE MATOS - ISI-ER
Presidente - 1242315 - PABLO JAVIER ALSINA
Externa à Instituição - TANIA LUNA LAURA - UFERSA