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Comparison of SAR and Optical Data used in Forest Cover Detection; PALSAR-FNF vs. ESRI LAND-COVER over North Central Türkiye   
Yazarlar
Doç. Dr. Arif Oğuz ALTUNEL Doç. Dr. Arif Oğuz ALTUNEL
Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Durmuş Ali ÇELİK Dr. Öğr. Üyesi Durmuş Ali ÇELİK
Kastamonu Üniversitesi, Türkiye
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). When all year coverages were concerned, the best overall accuracies were held with 82% in 2017 ESRI land-cover and 83% in 2017 PALSAR-FNF. Both datasets yielded relatively good results in the forest class when user accuracies were investigated. ESRI land-covers managed more than 87% across all four years, while PALSAR-FNFs produced 84.33% in 2020 as the highest scoring year. As for producer accuracies, PALSAR-FNFs produced over 89% across all year coverages, while ESRI produced 84% in 2017 as the highest scoring year. It is worth noting that the ESRI land-covers had better compliance with the compartment boundaries of the reference geodatabase.
Anahtar Kelimeler
ESRI Land-cover | FNF Maps | L-band SAR | PALSAR/JERS-1 Mosaic | PALSAR2/ | Sentinel-2
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı International Journal of Environmental Science and Technology
Dergi ISSN 1735-1472
Dergi Grubu Q2
Makale Dili İngilizce
Basım Tarihi 01-2024
Sayı 1
Doi Numarası 10.1007/s13762-024-06164-9