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

Gozdenur Kelesoglu, Alp Erturk, Esra Erten

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationIGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1616-1619
Number of pages4
ISBN (Electronic)9781665427920
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2022-July

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/2222/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Hyperspectal
  • mucilage
  • PRISMA
  • Sea of Marmara
  • sea-snot
  • unmixing

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