Geospatial Data Cube Based on Remote Sensing Data: A UDENE Implementation

doi:10.29128/geomatik.1659359

2026-01-01

PRE

DOI：10.29128/geomatik.1659359

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数据量和数据类型的快速增长使得开发管理与分析多维数据的新方法成为必要。该领域最先进的方法之一是数据立方体技术。多维时空数据的结构化、分析与可视化已发现显著的实际应用，特别是在地理数据立方体概念的出现之后。此外，本研究以Urban Development Explorations using Natural Experiments（UDENE）项目为例，展示了利用卫星图像和地理数据开发的地理数据立方体。在所提出的平台中，各种卫星图像被存储和索引在单个数据立方体中。研究发现，数据立方体方法在数据存储效率等方面显著优于传统方法。然而，实时数据处理和硬件基础设施需求等挑战仍是该技术推广应用的障碍。在研究结束时，提出了未来研究方向的建议，重点是通过整合机器学习和云计算架构来增强数据立方体系统，以及扩展数据分析应用中的多维数据处理能力。

Keyword:

Data Cube

Big Data

Multidimensional Data Analysis

Analysis Ready Data (ARD)

Remote Sensing

期刊

Geomatik

IF:

1.3

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被引数:

机构

istanbul university

学者数:

3.2K

论文数: 1.5K

被引数: 62

istanbul technical university

学者数:

768

论文数: 391

被引数: 0

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