Yazarlar |
Burcu Çevik Değerli
|
Prof. Dr. Mehmet ÇETİN
Ondokuz Mayıs Üniversitesi, Türkiye |
Özet |
In this study, in order to evaluate the change of LST from rural to urban scale in 20 years, a zoonal statistical analysis was performed by separating the urban and rural districts located on the coastline. Algorithms were applied to the raw data of Landsat 8 and Landsat 7 satellite images, using the Arc Gis 10.2 and Q Gis 3.16 utilities. In this way, NDVI, NDBI and LST data were compared and evaluated in terms of rural and urban districts. The correlation coefficient between the parameters was calculated. In the study, the land change between the years 2000-2020 was also determined to reveal the land change. As a result of the analyzes made, the amount of green areas decreased by 14.1% between 2000 and 2020 in the study area, which includes the central districts of Samsun, İlkadım and Atakum, and in the rural areas, Bafra and Ondokuz Mayıs. It has been observed that this rate is shared as 7.1% in built up areas and 7.33% in bare soil areas. Considering the effect of the decrease in green areas on the LST value, in 2000, max. While LST is 41.75 C, in 2020 max. It is seen that LST has increased to 43.44 C. When the districts were analyzed separately, it was seen that LST established a strong correlation with NDBI (positive) and NDVI (negative) for all four districts. However, the correlation was stronger in rural districts. It was observed that the correlation strength weakened in urban districts due to heterogeneous land surface cover. |
Anahtar Kelimeler |
Makale Türü | Özgün Makale |
Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayımlanan tam makale |
Dergi Adı | Turkish Journal of Agriculture - Food Science and Technology |
Dergi ISSN | 2148-127X |
Dergi Tarandığı Indeksler | TR DİZİN |
Makale Dili | İngilizce |
Basım Tarihi | 12-2022 |
Cilt No | 10 |
Sayı | 12 |
Sayfalar | 2446 / 2452 |
Doi Numarası | 10.24925/turjaf.v10i12.2446-2452.5535 |
Makale Linki | http://dx.doi.org/10.24925/turjaf.v10i12.2446-2452.5535 |