Comparison Analysis and Application of GlobeLand30 and CNLUCC Datasets in Land Use Dynamic Analysis in Dongguan City

DOI: 10.22161/ijeab.105.23

Abstract:
Accurate analysis of land use dynamics is fundamental for sustainable development and refined territorial spatial management in high-density urban areas. Although the GlobeLand30 and CNLUCC datasets have been widely used in land use studies, they fundamentally differ in classification systems, design objectives, and accuracy, and there remains a lack of systematic performance comparison and applicability assessment for highly dynamic urban areas. This study takes Dongguan City (2000–2020) as a case study, employing dynamic degree models, transition matrices, and spatial analysis methods to systematically compare the performance differences between the two datasets across three dimensions: classification system compatibility, spatiotemporal consistency, and application scenario suitability. The findings reveal that CNLUCC, with its management-oriented three-tier classification system, excels in identifying industrial land (accuracy up to 92%) and is suitable for localized fine-scale management scenarios such as territorial spatial planning. In contrast, GlobeLand30, with its globally consistent observation standards, achieves higher overall accuracy (85.72%) and proves particularly valuable for global change studies and cross-border comparisons. Based on the more accurate GlobeLand30 data analysis, Dongguan's land use exhibits a typical urbanization pattern characterized by "spatial polarization—boundary expansion—functional restructuring," with concurrent expansion of construction land and restoration of ecological land. Therefore, CNLUCC is recommended for territorial management, while GlobeLand30 is preferred for cross-border studies, and a hybrid validation strategy can be adopted for critical land category analyses. The comparative framework developed in this study provides a scientific basis for selecting land use data and guiding sustainable planning in similar high-density urban areas worldwide.

Keywords:
CNLUCC(China Land Use/Land Cover Change), Globeland30, Land Use/Land Cover Change(LUCC), Dynamic Degree Analysis, Transfer Matrix

Article Info:
Received: 08 Sep 2025; Received in revised form: 05 Oct 2025; Accepted: 13 Oct 2025; Available online: 21 Oct 2025

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