| Yazarlar (1) |
Doç. Dr. Emre AKTÜRK
Kastamonu Üniversitesi, Türkiye |
| Özet |
| This study aimed to streamline the production, visualization, and export of 25 different vegetation indices (VIs) using Landsat 8 imagery via Google Earth Engine (GEE). Leveraging GEE's cloud-based platform, the developed algorithm allows users to define their region of interest (ROI), select a date range, and effortlessly compute and visualize a set of VIs. The algorithm uses the'simpleComposite'function to generate optimal composite images for the desired time period while minimizing atmospheric interference. The easy-to-use interface enables fast decision-making and immediate access to results, reducing time, labor, and computational costs. Future enhancements include extending the algorithm to older Landsat missions (4-5 and 7) and integrating newer data sets such as Landsat 9 and Sentinel-2 for higher spatial resolution. Future modules for time series analysis will provide deeper insight into vegetation dynamics. Overall, this framework provides a comprehensive, scalable solution for vegetation monitoring that adapts to evolving satellite datasets and user needs, representing a significant advancement in remote sensing and environmental analysis. |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| Bildiri Dili | İngilizce |
| Kongre Adı | 9th Advanced Engineering Days |
| Kongre Tarihi | 09-07-2024 / 10-07-2024 |
| Basıldığı Ülke | İran |
| Basıldığı Şehir | Tabriz |
