Water Quality Inversion of UAV Multispectral Data Using Machine Learning

L. Fu, Ying Lo, T. C. Lu, C. Zhang*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

The majority of water quality inversions rely on satellite data with poor spectral resolution. Satellite data is tougher to obtain for a specific date and less timely than UAV data due to transit cycles and weather. This method of inferring water quality from UAV multispectral data is based on the use of machine learning. With high resolution, low flying altitude, low cost, and good performance, UAV multispectral data synchronizes with sampling point water body parameters. Studies on inverting water quality is difficult due to the need for a specific inversion model for each location and set of circumstances. In order to improve water quality inversion results and get around the limitations of linear models, machine learning is being used more and more. For efficient and quick water quality monitoring in Yuandang Lake, use machine learning to invert various water quality indicators, compare the results, and select the appropriate indicators.

Original languageEnglish
Title of host publicationTowards a Carbon Neutral Future - The Proceedings of The 3rd International Conference on Sustainable Buildings and Structures
EditorsKonstantinos Papadikis, Cheng Zhang, Shu Tang, Engui Liu, Luigi Di Sarno
PublisherSpringer Science and Business Media Deutschland GmbH
Pages357-365
Number of pages9
ISBN (Print)9789819979646
DOIs
Publication statusPublished - 2024
Event3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023 - Suzhou, China
Duration: 17 Aug 202320 Aug 2023

Publication series

NameLecture Notes in Civil Engineering
Volume393
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference3rd International Conference on Sustainable Buildings and Structures, ICSBS 2023
Country/TerritoryChina
CitySuzhou
Period17/08/2320/08/23

Keywords

  • Machine learning
  • UAV multispectral data
  • Water quality inversion

Fingerprint

Dive into the research topics of 'Water Quality Inversion of UAV Multispectral Data Using Machine Learning'. Together they form a unique fingerprint.

Cite this