Spatiotemporal NDVI-SAR Analysis Using Sentinel-1 and Full-Polarimetric ALOS-2 Imagery in The Küre Mountains Forests, Türkiye
| dc.contributor.author | Ozdemir, Eren Gürsoy | |
| dc.contributor.author | Abdikan, Saygin | |
| dc.date.accessioned | 2026-02-22T11:44:03Z | |
| dc.date.created | 2025 | |
| dc.date.issued | 2025 | |
| dc.department | Bartın Üniversitesi | |
| dc.description | 3rd International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025 -- 2025-09-02 through 2025-09-04 -- Bucharest -- 215412 | |
| dc.description.abstract | This study investigates the temporal relationship between SAR backscatter (ALOS-2 PALSAR-2 and Sentinel-1) and NDVI across oriental beech, Uluda? fir, and mixed forests in the Küre Mountains of Türkiye. Results show that correlation patterns are strongly shaped by forest type and seasonal phenology. Fir forests exhibit stable and moderately strong correlations - particularly with ALOS VH (r ? 0.59) - due to their evergreen canopy and low seasonal variability. In contrast, beech forests display pronounced seasonal fluctuations, with correlations peaking during the growing season (r ? 0.53) and declining during senescence (r ? 0.04). Mixed forests show intermediate yet more variable behavior, reflecting their heterogeneous composition. ALOS L-band SAR consistently outperforms Sentinel-1 C-band, especially in coniferous monitoring, underscoring the significance of wavelength and polarization. These findings highlight the importance of tailoring SAR-optical integration to forest type and season and suggest that multi-sensor methods can improve monitoring in complex ecosystems. © 2025 IEEE. | |
| dc.description.sponsorship | European Space Agency, ESA; Hacettepe Üniversitesi, (FDK-2022-20004); (ER3A2N113) | |
| dc.identifier.doi | 10.1109/MIGARS67156.2025.11232042 | |
| dc.identifier.isbn | 9798331579203 | |
| dc.identifier.scopus | 2-s2.0-105025445847 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/MIGARS67156.2025.11232042 | |
| dc.identifier.uri | https://hdl.handle.net/11772/26904 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | 2025 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2025 | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20260218 | |
| dc.subject | ALOS-2 full-polarimetry | |
| dc.subject | forest phenology | |
| dc.subject | NDVI | |
| dc.subject | SAR-NDVI correlation | |
| dc.title | Spatiotemporal NDVI-SAR Analysis Using Sentinel-1 and Full-Polarimetric ALOS-2 Imagery in The Küre Mountains Forests, Türkiye | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication |










