Modelling Itasy Lake Water Quality by Long Short Term Memory (LSTM) using Landsat8 Data

Modelling Itasy Lake Water Quality by Long Short Term Memory (LSTM) using Landsat8 Data

Modeling lake water quality is very important to preserve and protect this resource. Several algorithms can be used to model lake water quality using in-situ measurement data. This work used The Long Short-Term Memory (LSTM) deep learning (DL) architecture to obtain models for modeling and predictin...

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Bibliographic Details
Main Authors: Randrianiaina Jerry Jean Christien Frederick, Rakotonirina Rija Itokiana, Jean Robertin Rasoloariniaina, Fils Lahatra Razafindramisa
Format: Article
Language:English
Published: Diponegoro University 2025-05-01
Series:Geoplanning: Journal of Geomatics and Planning
Subjects:
lstm
landsat8
water quality
itasy lake
Online Access:https://ejournal.undip.ac.id/index.php/geoplanning/article/view/60258
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https://ejournal.undip.ac.id/index.php/geoplanning/article/view/60258

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