Is Dynamic World a Contender in Global Land-Cover Making Race? A Swift Field Assessment from Kastamonu, Türkiye
Yazarlar (2)
Dr. Öğr. Üyesi Durmuş Ali ÇELİK Kastamonu Üniversitesi, Türkiye
Prof. Dr. Arif Oğuz ALTUNEL Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Egyptian Journal of Remote Sensing and Space Science (Q2) | ||
| Dergi ISSN | 1110-9823 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 04-2025 |
| Cilt / Sayı / Sayfa | 28 / 2 / 205–213 | DOI | 10.1016/j.ejrs.2025.04.002 |
| Makale Linki | https://doi.org/10.1016/j.ejrs.2025.04.002 | ||
| Özet |
| Alterations in land-cover significantly influence global climate fluctuations. To utilize land resources rationally and sustainably, it is essential to identify the open-source remote sensing capabilities, the resulting products, and assess their geographical accuracies. This study conceptualized over Kastamonu province in northwestern Türkiye, focused on comparing three of the high-resolution (10 m) land-cover products; Environmental Systems Research Institute (ESRI) 2022, European Space Agency (ESA) World-Cover 2021 and Google-The World Resources Institute, Dynamic Word (DW) 2022, and 2022 Google Earth imagery were utilized for spatial comparisons. The overall accuracy (OA) and Kappa coefficient were computed, along with additional accuracy assessment metrics. OAs of land-cover maps (local accuracy), from highest to lowest, were ESRI2022; 76 %, ESA2021; 75.8 % and DW2022; 73.4 %. The … |
| Anahtar Kelimeler |
| Accuracy assessment | Error matrix | Kappa | Random point | Sentinel-1 & 2 derivatives |
Science Direct
Is Dynamic World a Contender in Global Land-Cover Making Race? A Swift Field Assessment from Kastamonu, Türkiye
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 11 |
| Web of Science | 9 |
| Scopus | 9 |