Detection of small water bodies for vector control using deep learning on multispectral imagery from unmanned aerial vehicles

Detection of small water bodies for vector control using deep learning on multispectral imagery from unmanned aerial vehicles

Abstract Vector-borne diseases pose a persistent public health challenge in tropical regions such as Vietnam, where traditional ground-based surveillance methods struggle with scale and accuracy. This study presents a framework that integrates Unmanned Aerial Vehicle (UAV) multispectral imagery with...

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Bibliographic Details
Main Authors: Phuc Linh Ngo, Viet Hoang Pham, Ngoc Long Bui, Huynh Anh Thu Phan, Hien Bich Vo, Thirumalaisamy P. Velavan, Duc Khanh Tran
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Subjects:
UAV
Multispectral imagery
Water body detection
Arbovirus vector
Deep learning
Vietnam
Online Access:https://doi.org/10.1007/s44163-025-00422-6
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https://doi.org/10.1007/s44163-025-00422-6

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