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

Gozdenur Kelesoglu; Alp Erturk; Esra Erten

doi:10.1109/IGARSS46834.2022.9883684

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

Gozdenur Kelesoglu
, Alp Erturk
, Esra Erten

Department of Geomatics Engineering

Istanbul Technical University
Kocaeli University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 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 language	English
Title of host publication	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1616-1619
Number of pages	4
ISBN (Electronic)	9781665427920
DOIs	https://doi.org/10.1109/IGARSS46834.2022.9883684
Publication status	Published - 2022
Event	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2022-July
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	17/07/22 → 22/07/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Hyperspectal
PRISMA
Sea of Marmara
mucilage
sea-snot
unmixing

Access to Document

10.1109/IGARSS46834.2022.9883684

Cite this

Kelesoglu, G., Erturk, A., & Erten, E. (2022). Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings (pp. 1616-1619). (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883684

Kelesoglu, Gozdenur ; Erturk, Alp ; Erten, Esra. / Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1616-1619 (International Geoscience and Remote Sensing Symposium (IGARSS) ).

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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.",

keywords = "Hyperspectal, PRISMA, Sea of Marmara, mucilage, sea-snot, unmixing",

author = "Gozdenur Kelesoglu and Alp Erturk and Esra Erten",

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Kelesoglu, G, Erturk, A & Erten, E 2022, Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data. in IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. International Geoscience and Remote Sensing Symposium (IGARSS) , vol. 2022-July, Institute of Electrical and Electronics Engineers Inc., pp. 1616-1619, 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 17/07/22. https://doi.org/10.1109/IGARSS46834.2022.9883684

Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data. / Kelesoglu, Gozdenur; Erturk, Alp; Erten, Esra.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1616-1619 (International Geoscience and Remote Sensing Symposium (IGARSS) ; Vol. 2022-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Erturk, Alp

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PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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KW - sea-snot

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M3 - Conference contribution

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BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings

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ER -

Kelesoglu G, Erturk A, Erten E. Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data. In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1616-1619. (International Geoscience and Remote Sensing Symposium (IGARSS) ). doi: 10.1109/IGARSS46834.2022.9883684

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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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