Hong Shu
Biographic Data
| ID | 8329951 |
|---|---|
| NAME | Hong Shu |
| GIVEN NAMES | Hong |
| FAMILY NAME | Shu |
| SIGNATURE | SHU H |
| AFFILIATIONS | State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS) Wuhan University Wuhan China |
| ORCID | 0000-0003-2108-1797 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integration of Multi‐Sensor Remote Sensing for Environmental Monitoring: Assessment of Wetland Degradation in Semi‐Arid Ecosystems
Environmental monitoring of wetland ecosystems using conventional single‐sensor approaches faces significant limitations in assessment accuracy and temporal consistency. This study develops and validates an integrated environmental assessment framework combining optical and radar remote sensing for monitoring critical wetland degradation in semi‐arid ecosystems. The assessment methodology integrates Sentinel‐1 SAR data (VV and VH polarizations in…
Evaluation of Community Livability Using Gridded Basic Urban Geographical Data—A Case Study of Wuhan
The evaluation of community livability quantifies the demands of human settlement at the micro scale, supporting urban governance decision-making at the macro scale. Big data generated by the urban management of government agencies can provide an accurate, real-time, and rich data set for livability evaluation. However, these data are intertwined by overlapping geographical management boundaries of different government agencies. It causes the dif…
No prominent works on this page.
Evaluation of Community Livability Using Gridded Basic Urban Geographical Data—A Case Study of Wuhan
The evaluation of community livability quantifies the demands of human settlement at the micro scale, supporting urban governance decision-making at the macro scale. Big data generated by the urban management of government agencies can provide an accurate, real-time, and rich data set for livability evaluation. However, these data are intertwined by overlapping geographical management boundaries of different government agencies. It causes the dif…
Integration of Multi‐Sensor Remote Sensing for Environmental Monitoring: Assessment of Wetland Degradation in Semi‐Arid Ecosystems
Environmental monitoring of wetland ecosystems using conventional single‐sensor approaches faces significant limitations in assessment accuracy and temporal consistency. This study develops and validates an integrated environmental assessment framework combining optical and radar remote sensing for monitoring critical wetland degradation in semi‐arid ecosystems. The assessment methodology integrates Sentinel‐1 SAR data (VV and VH polarizations in…
Big data (1 works) · Cartography (1 works) · Computer Science (1 works) · Data mining (1 works) · Data science (1 works) · Ecosystem (1 works) · Environmental change (1 works) · Environmental degradation (1 works) · Environmental impact assessment (1 works) · Environmental Monitoring (1 works)