Analysis of Dynamic Changes in Urban Landscape Patterns Based on Big Data and GIS Algorithms

This paper studies the current state of urban landscapes and concludes that big data and GIS algorithms are widely used in urban landscape applications, primarily in areas such as elevation analysis, slope analysis, ecological sensitivity analysis, vegetation area selection analysis, 3D landscape construction, and dynamic analysis of landscape patterns. Through a case study of scenic area planning, GIS algorithms are applied to the planning of this scenic area for slope, aspect, elevation, and ecological sensitivity analysis. This further demonstrates the application value of GIS algorithms in urban landscapes.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.05.042
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of Dynamic Changes in Urban Landscape Patterns Based on Big Data and GIS Algorithms

Lu Han
Procedia Computer Science
Remote Sensing and Land Use
article

Analysis of Dynamic Changes in Urban Landscape Patterns Based on Big Data and GIS Algorithms

Lu Han
article en

Abstract

This paper studies the current state of urban landscapes and concludes that big data and GIS algorithms are widely used in urban landscape applications, primarily in areas such as elevation analysis, slope analysis, ecological sensitivity analysis, vegetation area selection analysis, 3D landscape construction, and dynamic analysis of landscape patterns. Through a case study of scenic area planning, GIS algorithms are applied to the planning of this scenic area for slope, aspect, elevation, and ecological sensitivity analysis. This further demonstrates the application value of GIS algorithms in urban landscapes.

Procedia Computer ScienceVol. 262
Xijing University (CN)
Sustainable cities and communities
Openalex Percentile: Top 82%
Remote Sensing and Land Use
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