THE USE OF GRID TECHNOLOGIES FOR VISUALIZATION OF GEOINFORMATION DATA ON THE TERRITORY OF THE ARAL SEA

This article explores the application of GRID technologies—a form of distributed computing that enhances efficiency and collaboration in data analysis—in the visualization of geoinformation data related to the Aral Sea. By leveraging GRID technologies, researchers can efficiently process and visualize large datasets from remote sensing and environmental monitoring, thereby gaining critical insights into ecological changes, water quality, and resource management. The article reviews existing applications of GRID technologies in the Aral Sea region, discusses the challenges faced in their implementation, and highlights potential future innovations, including the integration of machine learning techniques. Ultimately, this article underscores the importance of advanced data visualization in fostering informed decision-making and collaborative efforts aimed at addressing the ongoing challenges faced by the Aral Sea and its ecosystem.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-30
DOI
https://doi.org/10.5281/zenodo.14015837
Primary Topic
Transboundary Water Resource Management
Type
article
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article

THE USE OF GRID TECHNOLOGIES FOR VISUALIZATION OF GEOINFORMATION DATA ON THE TERRITORY OF THE ARAL SEA

Zenodo (CERN European Organization for Nuclear Research)
Transboundary Water Resource Management
article

THE USE OF GRID TECHNOLOGIES FOR VISUALIZATION OF GEOINFORMATION DATA ON THE TERRITORY OF THE ARAL SEA

article en

Abstract

This article explores the application of GRID technologies—a form of distributed computing that enhances efficiency and collaboration in data analysis—in the visualization of geoinformation data related to the Aral Sea. By leveraging GRID technologies, researchers can efficiently process and visualize large datasets from remote sensing and environmental monitoring, thereby gaining critical insights into ecological changes, water quality, and resource management. The article reviews existing applications of GRID technologies in the Aral Sea region, discusses the challenges faced in their implementation, and highlights potential future innovations, including the integration of machine learning techniques. Ultimately, this article underscores the importance of advanced data visualization in fostering informed decision-making and collaborative efforts aimed at addressing the ongoing challenges faced by the Aral Sea and its ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Transboundary Water Resource Management
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