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Estimation of aboveground carbon storage based on remote sensing and inventory data: A case study from Türkiye    
Yazarlar (2)
Prof. Dr. Fatih SİVRİKAYA Prof. Dr. Fatih SİVRİKAYA
Kastamonu Üniversitesi, Türkiye
Arş. Gör. Döndü BULUR Arş. Gör. Döndü BULUR
Türkiye
Devamını Göster
Özet
Forest ecosystems are one of the most important systems in capturing atmospheric carbon dioxide (CO 2) and play an essential role in mitigating climate change. Forest ecosystems provide biodiversity, soil conservation, recreation areas, wildlife habitat, nutrient cycling, carbon storage and oxygen production. According to the Climate Change Framework Convention, determining and reporting the amount of carbon accumulation in forest ecosystem is of great importance. Different methods such as allometric equations, carbon expansion factor and remote sensing methods are used to determine aboveground carbon (AGC) storage. Especially with the developing technology, remote sensing techniques are used intensively to determine AGC storage. Normalized Difference Vegetation Index (NDVI) are commonly used, especially in determining the amount of AGC storage. The aim of this study is to estimate AGC storage according to different methods and to investigate whether there are statistical differences in AGC storage estimation of these approaches. The research was carried out in pure Calabrian pine (Pinus brutia Ten.) stands in the Burmahanyayla planning unit in Antalya province in the Mediterranean region of Türkiye. Within the scope of the study, the amount of AGC storage was calculated by using the inventory study conducted in 2022 and the Landsat 9 satellite data. A paired sample t-test was used to statistically examine the difference in the quantity of AGC storage based on inventory data and remote sensing data using SPSS 23.0. The results reveal that there was no statistically significant difference in the AGC storage values …
Anahtar Kelimeler
Makale Türü Özgün Makale
Makale Alt Türü Diğer hakemli uluslarası dergilerde yayınlanan tam makale
Dergi Adı Journal of Biometry Studies
Dergi ISSN 2791-7169
Dergi Tarandığı Indeksler Index Copernicus
Makale Dili İngilizce
Basım Tarihi 12-2022
Cilt No 2
Sayfalar 78 / 86
Doi Numarası 10.29329/JofBS.2022.445.05
Makale Linki http://dx.doi.org/10.29329/jofbs.2022.445.05