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

Harita Mühendisliği Bölümü

Istanbul Technical University
Kocaeli University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

9 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	1616-1619
Sayfa sayısı	4
ISBN (Elektronik)	9781665427920
DOI'lar	https://doi.org/10.1109/IGARSS46834.2022.9883684
Yayın durumu	Yayınlandı - 2022
Etkinlik	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 - Kuala Lumpur, Malaysia Süre: 17 Tem 2022 → 22 Tem 2022

Yayın serisi

Adı	International Geoscience and Remote Sensing Symposium (IGARSS)
Hacim	2022-July

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Ülke/Bölge	Malaysia
Şehir	Kuala Lumpur
Periyot	17/07/22 → 22/07/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

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Belgeye Erişim

10.1109/IGARSS46834.2022.9883684

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 (pp. 1616-1619). (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 2022-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS46834.2022.9883684

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title = "Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data",

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, mucilage, PRISMA, Sea of Marmara, sea-snot, unmixing",

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

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1109/IGARSS46834.2022.9883684",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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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. International Geoscience and Remote Sensing Symposium (IGARSS), hac. 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. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1616-1619 (International Geoscience and Remote Sensing Symposium (IGARSS); Hac. 2022-July).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Assessing Sea-Snot Accumulation using Spectral Mixture Analysis of Hyperspectral Prisma Data

AU - Kelesoglu, Gozdenur

AU - Erturk, Alp

AU - Erten, Esra

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.

KW - Hyperspectal

KW - mucilage

KW - PRISMA

KW - Sea of Marmara

KW - sea-snot

KW - unmixing

UR - https://www.scopus.com/pages/publications/85140360711

U2 - 10.1109/IGARSS46834.2022.9883684

DO - 10.1109/IGARSS46834.2022.9883684

M3 - Conference contribution

AN - SCOPUS:85140360711

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1616

EP - 1619

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022

Y2 - 17 July 2022 through 22 July 2022

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. 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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Belgeye Erişim

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