ORIGINAL RESEARCH
Mapping Urban Sprawl and Land Use
Dynamics in Central China Through Random
Forest-Based Remote Sensing: A Comparative
Analysis of Luoyang and Zhengzhou
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Hebi Polytechnic, Hebi City, Henan, China
Submission date: 2025-12-22
Final revision date: 2026-03-09
Acceptance date: 2026-03-27
Online publication date: 2026-05-26
KEYWORDS
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ABSTRACT
This study presents a comparative spatiotemporal analysis of land use and land cover (LULC)
changes from 1990 to 2024 in two fast-growing Chinese cities, Luoyang and Zhengzhou. Based on
multi-temporal satellite imagery from Landsat-7, Random Forest classification was conducted on the
Google Earth Engine (GEE) platform. Classification accuracies between 85 and 91% were achieved
through high-resolution visual interpretation and confusion matrix validation. Our findings show
opposite trends in the growth of the cities. Driven by aggressive infrastructure and economic zoning,
Zhengzhou saw a spectacular 223% rise in built-up area, mostly at the cost of cropland, which fell
by more than 22%. As Luoyang also grew, it showed more gradual change, with a 12% decline in
cropland and a 222% increase in built-up land, indicating a more restrained urban planning process.
The two cities also showed significant growth of surface water by more than 100%, which means that
hydrological infrastructure or urban planning priorities have changed. The forest cover was quite intact,
and there were slight improvements in Zhengzhou, implying increased concern about greening urban
areas. Meanwhile, land degradation or stagnant building sites emerge as a result of the emergence of
barren land, especially in Zhengzhou. These results highlight the variation in urban development within
the same area, which is shaped by geography, policy, and planning culture.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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