Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data

Kelesoglu G., ERTÜRK A., Erten E.

2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala-Lumpur, Malezya, 17 - 22 Temmuz 2022, cilt.2022-July, ss.1616-1619 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2022-July
  • Doi Numarası: 10.1109/igarss46834.2022.9883684
  • Basıldığı Şehir: Kuala-Lumpur
  • Basıldığı Ülke: Malezya
  • Sayfa Sayıları: ss.1616-1619
  • Anahtar Kelimeler: Hyperspectal, mucilage, PRISMA, Sea of Marmara, sea-snot, unmixing
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

© 2022 IEEE.The latest sea-snot, i.e. mucilage, outbreak in the Sea of Marmara hit all the headlines in Turkey in the Spring-Summer of 2021. Its slimy mucus characteristic was seen on the sea surface, but marine researchers warned that it spread down to 30 metres below the surface and could cause serious water-borne diseases, in addition to its detriment to the economy. Prevention and clean-up measures have been started and are ongoing. In this context, using remote sensing approaches can provide a significant advantage for understanding not only its spatial distribution throughout the Sea of Marmara but also its spectral and biochemical properties. In this work, the ag-gregation and spatial distribution of mucilage are investigated in the Sea of Marmara, Turkey, using hyperspectral data acquired by the PRISMA sensor.