Fuzzy Similarity Analysis of Effective Training Samples to Improve Machine Learning Estimations of Water Quality Parameters Using Sentinel-2 Remote Sensing Data

Continuous monitoring of water quality parameters (WQPs) is crucial due to the global degradation of water quality, primarily caused by climate change and population growth. Typically, machine learning (ML) models are employed to retrieve WQPs, but they require a large amount of training samples to...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, Ali Mehran, Mohsen Jafari, Amir Masoud Chegoonian
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Fuzzy similarity analysis (FSA) google earth engine machine learning (ML) remote sensing (RS) water quality
Online adgang:	https://ieeexplore.ieee.org/document/10430087/
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!