Fusion of Remotely Sensed Data with Monitoring Well Measurements for Groundwater Level Management

In the realm of hydrological engineering, integrating extensive geospatial raster data from remote sensing (Big Data) with sparse field measurements offers a promising approach to improve prediction accuracy in groundwater studies. In this study, we integrated multisource data by applying the LMC to...

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Bibliographic Details
Main Authors: César de Oliveira Ferreira Silva, Rodrigo Lilla Manzione, Epitácio Pedro da Silva Neto, Ulisses Alencar Bezerra, John Elton Cunha
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:AgriEngineering
Subjects:
Online Access:https://www.mdpi.com/2624-7402/7/1/14
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