## 6 Conclusions  
This study conducted a comparative analysis of slope unit delineation between SUD-CGHP and HPAM in Yangloushi Town, Yueyang City, Hunan Province. The results demonstrate some key points of the SUD-CGHP approach:  
1. SUD-CGHP not only identifies large planar areas with greater morphological regularity compared to HPAM but also avoids elongated slope units and extensive manual revision processes. This capability ensures geometric coherence while reducing post-processing efforts, making it suitable for real-world engineering applications.
2. The method exhibits superior internal consistency in flow direction, aspect, and gradient parameters across derived slope units. The findings demonstrate that the outcomes generated by SUD-CGHP represent a superior alternative for establishing geohazard evaluation units.
3. SUD-CGHP demonstrates advanced planar recognition performance and automated processing efficiency, enabling rapid and precise slope unit extraction even for large datasets. This innovative methodology represents a substantial advancement in automating geohazard susceptibility assessments, diversifying slope unit selection paradigms, and promoting theoretical integration across multiple disciplines, thereby establishing a robust methodological foundation for enhanced spatial analysis in geohazard research.
4. In the subsequent phase of this study, we will systematically investigate the predictive accuracy and optimization potential of landslide susceptibility mapping models based on slope units delineated within the Yanglousi Town study area through the integration of artificial intelligence technologies. Notably, this research will further explore the synergistic integration of slope units with raster-based approaches in geospatial analysis while elaborating on the practical implementation strategies for multiscale geospatial analysis frameworks.  
**Author Contributions:** T.X.: original draft, writing--review and editing, conceptualization, formal analysis, methodology, investigation, and supervision. L.Z.: original draft, writing--review and editing, formal analysis, data curation, methodology, software, visualization, and validation. L.W.: original draft, writing--review and editing, methodology, resources, supervision, validation, and funding acquisition. B.Y.: conceptualization, writing--review and editing, methodology, and software. C.W.: writing--review and editing, data curation, resources, and validation. H.Y.: writing--review and editing and investigation. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This work was financially supported by the National Natural Science Foundation of China (No. 42307275), the Natural Science Foundation of Hunan Province, China (No. 2025 JJ20030, 2024 JJ6498), the Open Fund of Hunan Geological Disaster Monitoring, Early Warning and Emergency Rescue Engineering Technology Research Center (No. hndzgczx202404), and the Innovation Center for Automated Monitoring Technology of Geological Hazards, Ministry of Natural Resources (No. TICG-K2024008).  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.  
**Conflicts of Interest:** The authors declare no conflicts of interest.