Danesh Shokri
Biographic Data
| ID | 3063360 |
|---|---|
| NAME | Danesh Shokri |
| GIVEN NAMES | Danesh |
| FAMILY NAME | Shokri |
| SIGNATURE | SHOKRI D |
| AFFILIATIONS | University of Tehran |
| ORCID | 0000-0003-3555-7645 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Landslide susceptibility under two decades of land use change (2000–2020)
To address the insufficient consideration of dynamic driving factors in landslide susceptibility mapping (LSM), this study investigates the contribution of land use and land cover change (LUCC) to the spatial distribution of landslides in Sichuan Province, China, a region highly prone to geological hazards. An XGBoost model was used to integrate multi-source spatial data within a unified 30 m grid to produce a province-wide susceptibility map. SH…
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
An enhanced descriptor extraction algorithm for power line detection from point clouds
Mobile terrestrial laser scanning (MTLS) systems provide a safe and efficient means to survey roadway corridors at high speed. MTLS point clouds are rich in planimetric data. However, manual extraction of useful information from these point clouds can be time consuming and laborious and automated object extraction from MTLS point clouds has become a hot topic in the remote sensing community. This study proposes an automated method for power line …
Landslide susceptibility under two decades of land use change (2000–2020)
To address the insufficient consideration of dynamic driving factors in landslide susceptibility mapping (LSM), this study investigates the contribution of land use and land cover change (LUCC) to the spatial distribution of landslides in Sichuan Province, China, a region highly prone to geological hazards. An XGBoost model was used to integrate multi-source spatial data within a unified 30 m grid to produce a province-wide susceptibility map. SH…
3D Surveying and Cultural Heritage (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Computer Science (1 work) · Data mining (1 work) · Data pre-processing (1 work) · Disaster Management and Resilience (1 work) · Feature extraction (1 work) · Flood Risk Assessment and Management (1 work)