Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction

Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction

Dissolved organic matter (DOM) is a critical indicator of aquatic environmental quality, and its concentration affects the quality of aquaculture products. Integrating unmanned aerial vehicle (UAV)-based multispectral data with machine learning algorithms enables accurate estimation of DOM. However,...

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Bibliographic Details
Main Authors: Wenxu Lv, Yancang Wang, Huiqiong Cao, Peng Cheng, Xiaohe Gu, Zhuoran Ma, Mengjie Li, Ruiyin Tang, Qichao Zhao, Xuqing Li, Lan Zhang, Shuaifei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Water
Subjects:
UAV-based multispectral imagery
dissolved organic matter
multi-temporal
spectral correction
transfer learning
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2025.1635275/full
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https://www.frontiersin.org/articles/10.3389/frwa.2025.1635275/full

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