Yueping Nie
Biographic Data
| ID | 6527479 |
|---|---|
| NAME | Yueping Nie |
| GIVEN NAMES | Yueping |
| FAMILY NAME | Nie |
| SIGNATURE | NIE Y |
| AFFILIATIONS | Remote Sensing of Non‐renewable Resources Laboratory, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences Beijing China |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis
Linear heritage corridors are increasingly exposed to spatially heterogeneous pressures from climate change and human activities, yet integrated geospatial frameworks for corridor-scale risk identification remain limited. Taking the Beijing–Hangzhou Grand Canal as a representative linear World Heritage corridor, this study developed a GIS-based spatiotemporal assessment framework to quantify natural risk, anthropogenic pressure, and their coupled…
Spatiotemporal analysis of prehistoric settlement clustering based on terrain constraints in the Linfen area of China
Ancient people's choices of where to live were strongly influenced by geography, especially by terrain. However, most settlement clustering algorithms, which use the Euclidean distance, do not consider terrain. Here, we present an improved clustering algorithm for the cluster analysis of ancient ruins that takes terrain‐related factors, such as slope and elevation, into account and uses the resistance distance (also known as the cost‐weighted dis…
Improved detection of archaeological features using multi-source data in geographically diverse capital city sites
Improved detection of archaeological features using multi-source data in geographically diverse capital city sites
Spatiotemporal analysis of prehistoric settlement clustering based on terrain constraints in the Linfen area of China
Ancient people's choices of where to live were strongly influenced by geography, especially by terrain. However, most settlement clustering algorithms, which use the Euclidean distance, do not consider terrain. Here, we present an improved clustering algorithm for the cluster analysis of ancient ruins that takes terrain‐related factors, such as slope and elevation, into account and uses the resistance distance (also known as the cost‐weighted dis…
Identifying Climate and Anthropogenic Risks Along the Beijing–Hangzhou Grand Canal Using GIS-Based Spatiotemporal Analysis
Linear heritage corridors are increasingly exposed to spatially heterogeneous pressures from climate change and human activities, yet integrated geospatial frameworks for corridor-scale risk identification remain limited. Taking the Beijing–Hangzhou Grand Canal as a representative linear World Heritage corridor, this study developed a GIS-based spatiotemporal assessment framework to quantify natural risk, anthropogenic pressure, and their coupled…
Archaeology (2 works) · Climate change (2 works) · Conservation Techniques and Studies (2 works) · Geography (2 works) · Physical geography (2 works) · 3D Surveying and Cultural Heritage (1 work) · Archaeological Research and Protection (1 work) · Archaeology and ancient environmental studies (1 work) · Artificial Intelligence (1 work) · Capital (architecture (1 work)