Determining infestation of Pine Processionary Moth using remote sensing
Yazarlar (2)
Prof. Dr. Gonca Ece ÖZCAN Kastamonu Üniversitesi, Türkiye
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | 4th Intercontinental Geoinformation Days | ||
| Kongre Tarihi | 20-06-2022 / | ||
| Basıldığı Ülke | İran | Basıldığı Şehir | Tebriz |
| Bildiri Linki | https://igd.mersin.edu.tr/wp-content/uploads/2022/07/IGD4v3.pdf | ||
| UAK Araştırma Alanları |
Orman Entomolojisi ve Orman Koruma
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| Özet |
| Insects are one of the most important elements of the natural balance in forest ecosystems. Thaumetopoea pityocampa, which is one of the important pests of Turkey's forests, causes increment loss, tree dead and economic losses in the forest stands. Therefore, there is a need for alternative methods of detecting and monitoring beetle damage with low cost and acceptable accuracy. Remote sensing data is widely used in beetle damage detection. In this study, the infestation of Thaumetopoea pityocampa in Calabrian pine forests in Kahramanmaraş Regional Directorate of Forestry, Elmalar Planning unit was determined with Remote Sensing data. 70 forest stands (sub-compartments) belonging to the infested (2016) and non-infested (2022) periods were determined in the study area. The minimum, average, maximum and total values of NDVI values were calculated using Landsat 8 OLI satellite images. The … |
| Anahtar Kelimeler |
