Hatice Atalay
Biographic Data
| ID | 9964989 |
|---|---|
| NAME | Hatice Atalay |
| GIVEN NAMES | Hatice |
| FAMILY NAME | Atalay |
| SIGNATURE | ATALAY H |
| AFFILIATIONS | Istanbul Technical University |
| ORCID | 0000-0002-0623-5172 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Spatial Autocorrelation Analysis of CO and NO2 Related to Forest Fire Dynamics
The increasing frequency and severity of forest fires globally highlight the critical need to understand their environmental impacts. This study applies spatial autocorrelation techniques to analyze the dispersion patterns of carbon monoxide (CO) and nitrogen dioxide (NO2) emissions during the 2021 Manavgat forest fires in Türkiye, using Sentinel-5P satellite data. Univariate (UV) Global Moran’s I values indicated strong spatial autocorrelation f…
Exploring Forest Fire Dynamics
The Mediterranean region experiences the annual destruction of thousands of hectares due to climatic conditions. This study examines forest fires in Türkiye’s Antalya region, a Mediterranean high-risk area, from 2000 to 2023, analyzing 26 fires that each damaged over 50 hectares. Fire danger maps created from fire weather indexes (FWI) indicated that 85.7% of the analyzed fire areas were categorized within the high to very extreme danger categori…
No prominent works on this page.
Exploring Forest Fire Dynamics
The Mediterranean region experiences the annual destruction of thousands of hectares due to climatic conditions. This study examines forest fires in Türkiye’s Antalya region, a Mediterranean high-risk area, from 2000 to 2023, analyzing 26 fires that each damaged over 50 hectares. Fire danger maps created from fire weather indexes (FWI) indicated that 85.7% of the analyzed fire areas were categorized within the high to very extreme danger categori…
Spatial Autocorrelation Analysis of CO and NO2 Related to Forest Fire Dynamics
The increasing frequency and severity of forest fires globally highlight the critical need to understand their environmental impacts. This study applies spatial autocorrelation techniques to analyze the dispersion patterns of carbon monoxide (CO) and nitrogen dioxide (NO2) emissions during the 2021 Manavgat forest fires in Türkiye, using Sentinel-5P satellite data. Univariate (UV) Global Moran’s I values indicated strong spatial autocorrelation f…
Environmental Science (2 works) · Fire effects on ecosystems (2 works) · Geography (2 works) · Remote sensing (2 works) · Atmospheric and Environmental Gas Dynamics (1 work) · Atmospheric chemistry and aerosols (1 work) · Autocorrelation (1 work) · Cartography (1 work) · Flood Risk Assessment and Management (1 work) · Forestry (1 work)