Comparison of SAR and Optical derived Data used in Forest Cover Detection; PALSAR-FNF vs. ESRI LAND-COVER over North Central Türkiye
Yazarlar (2)
Prof. Dr. Arif Oğuz ALTUNEL Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Durmuş Ali ÇELİK Kastamonu Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı International Journal of Environmental Science and Technology (Q2)
Dergi ISSN 1735-1472 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 03-2025
Cilt / Sayı / Sayfa 22 / 5 / 3641–3654 DOI 10.1007/s13762-024-06164-9
Makale Linki https://doi.org/10.1007/s13762-024-06164-9
Özet
Swiftly and reliably establishing a spatially and geometrically correct land-cover map of any region is rather important in natural resource planning for conservation and utilization. JAXA’s PALSAR2/PALSAR/JERS-1 Mosaic and Forest / Non-forest maps, which as the name suggested, have specifically focused on global forest cover since 2007, benefiting from L-band SAR imagery. ESRI Land-cover, on the other hand, owing to exceptional Sentinel-2 imagery, has produced rather detailed land-cover maps including a distinct forest class. In this particular study, coverages of 2017–2020 readied by both institutions, utilizing the aforementioned imageries, were questioned on yearly basis against a rather detailed geodatabase which is still-in-effective use by two of the current regional directorates of forestry, Kastamonu and Sinop in Türkiye, utilizing long adopted accuracy metrics (user, producer and overall accuracies …
Anahtar Kelimeler
ESRI Land-cover | FNF Maps | L-band SAR | PALSAR/JERS-1 Mosaic | PALSAR2/ | Sentinel-2
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 9
Web of Science 8
Scopus 8
Comparison of SAR and Optical derived Data used in Forest Cover Detection; PALSAR-FNF vs. ESRI LAND-COVER over North Central Türkiye

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