Jose A Sanchez-Vega
Biographic Data
| ID | 9058370 |
|---|---|
| NAME | Jose A Sanchez-Vega |
| GIVEN NAMES | Jose A |
| FAMILY NAME | Sanchez-Vega |
| SIGNATURE | SANCHEZ-VEGA J A |
| AFFILIATIONS | Centro de Investigación en Geomática Ambiental (CIGA), Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES‐CES) Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas Chachapoyas Peru |
| ORCID | 0000-0002-2911-033X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)
High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained through airborne laser scanning (ALS) from a drone, along with advanced visualization techniques (VTs) b…
Agronomic and economic sustainability perspectives in coffee-based agroforestry system (Coffea arabica L.) in Rodríguez de Mendoza, Amazonas, Peru
Coffee-based agroforestry systems (AFS) represent a sustainable alternative for enhancing resilience and productivity in tropical regions. However, limited studies have systematically evaluated the combined agronomic and economic factors influencing their success, particularly in Andean forest regions of Peru. This study aimed to assess tree composition, soil parameters, pest incidence, and economic performance in AFS located in Rodríguez de Mend…
No prominent works on this page.
Agronomic and economic sustainability perspectives in coffee-based agroforestry system (Coffea arabica L.) in Rodríguez de Mendoza, Amazonas, Peru
Coffee-based agroforestry systems (AFS) represent a sustainable alternative for enhancing resilience and productivity in tropical regions. However, limited studies have systematically evaluated the combined agronomic and economic factors influencing their success, particularly in Andean forest regions of Peru. This study aimed to assess tree composition, soil parameters, pest incidence, and economic performance in AFS located in Rodríguez de Mend…
Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)
High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained through airborne laser scanning (ALS) from a drone, along with advanced visualization techniques (VTs) b…
3D Surveying and Cultural Heritage (1 works) · Agricultural science (1 works) · Agroforestry (1 works) · Arabica coffee (1 works) · Archaeological Research and Protection (1 works) · Archaeology and ancient environmental studies (1 works) · Artificial neural network (1 works) · Biology (1 works) · Coffea (1 works) · Coffea arabica (1 works)