TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), California, Amerika Birleşik Devletleri, 16 - 21 Temmuz 2023, ss.6021-6024, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/igarss52108.2023.10282098
- Basıldığı Şehir: California
- Basıldığı Ülke: Amerika Birleşik Devletleri
- Sayfa Sayıları: ss.6021-6024
- Hacettepe Üniversitesi Adresli: Evet
Özet
Earth observation (EO) sensors and remote sensing play a crucial role in the detection and analysis of environmental hazards. Among these hazards, monitoring and understanding marine pollution remain challenging problems due to the complex and dynamic spatio-temporal characteristics of pollution and water. The recent outbreak of marine mucilage (or sea-snot) in the inland Sea of Marmara in the Spring of 2021 is a striking example of a dynamic environmental pollution, This work investigates temporal analysis of mucilage by unmixing based change detection on temporal hyperspectral satellite data acquired with the recently launched PRISMA sensor. The proposed unmixing-based approach enables detecting temporal changes in terms of endmembers and abundances, and hence provides information on the nature of the change, in an unsupervised manner without any training step.