Azatuhi Hovsepyan
Biographic Data
| ID | 8966841 |
|---|---|
| NAME | Azatuhi Hovsepyan |
| GIVEN NAMES | Azatuhi |
| FAMILY NAME | Hovsepyan |
| SIGNATURE | HOVSEPYAN A |
| AFFILIATIONS | Center for Ecological Noosphere Studies |
| ORCID | 0000-0001-7060-8423 |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spatial and Temporal Analysis of Copernicus Global Land Service Data-Based Surface Water Temperature of Lake Sevan and Its Relationship with Selected Climatic Variables Over the Period 2017–2023
Lakes as ecosystems are sensitive to climatic variables, with Lake Surface Water Temperature affecting lake ecosystem health. This study analyzes the spatial and temporal dynamics of Lake Surface Water Temperature in Lake Sevan—Armenia’s largest freshwater body—using Copernicus Global Land Operations (C-GLOPS) data from 2017–2023. It investigates the C-GLOPS lake surface water temperature relationship with climatic variables (e.g., air temperatur…
Integrated Remote Sensing and Machine Learning for Urban Air Temperature Assessment and Mapping in Highly Heterogeneous Environments
This paper investigates the prediction of urban air temperature (Tair) from satellite-derived land surface temperature (LST) in the complex urban and topographic environment of Yerevan, Armenia. Building on previous work that demonstrated the effectiveness of machine learning (ML) approaches for point-based Tair estimation using Partial Least-Squares Regression (PLSR) with multiple environmental variables, this study shifts the focus to the spati…
No prominent works on this page.
Spatial and Temporal Analysis of Copernicus Global Land Service Data-Based Surface Water Temperature of Lake Sevan and Its Relationship with Selected Climatic Variables Over the Period 2017–2023
Lakes as ecosystems are sensitive to climatic variables, with Lake Surface Water Temperature affecting lake ecosystem health. This study analyzes the spatial and temporal dynamics of Lake Surface Water Temperature in Lake Sevan—Armenia’s largest freshwater body—using Copernicus Global Land Operations (C-GLOPS) data from 2017–2023. It investigates the C-GLOPS lake surface water temperature relationship with climatic variables (e.g., air temperatur…
Integrated Remote Sensing and Machine Learning for Urban Air Temperature Assessment and Mapping in Highly Heterogeneous Environments
This paper investigates the prediction of urban air temperature (Tair) from satellite-derived land surface temperature (LST) in the complex urban and topographic environment of Yerevan, Armenia. Building on previous work that demonstrated the effectiveness of machine learning (ML) approaches for point-based Tair estimation using Partial Least-Squares Regression (PLSR) with multiple environmental variables, this study shifts the focus to the spati…
Air temperature (2 works) · Aquatic Ecosystems and Biodiversity (1 works) · Aquatic Ecosystems and Phytoplankton Dynamics (1 works) · Climate change (1 works) · Ecosystem (1 works) · Lake ecosystem (1 works) · Land Use and Ecosystem Services (1 works) · Oceanographic and Atmospheric Processes (1 works) · Quantile (1 works) · Quantile regression (1 works)