TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION

Çağatay Esi; Ali Özgün Ok; Esra Erten; Alp Ertürk

doi:10.1109/IGARSS52108.2023.10282098

TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION

Çağatay Esi
, Ali Özgün Ok
, Esra Erten
, Alp Ertürk

Harita Mühendisliği Bölümü

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

2 Atıf (Scopus)

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.

Orijinal dil	İngilizce
DOI'lar	https://doi.org/10.1109/IGARSS52108.2023.10282098
Yayın durumu	Yayınlandı - 2023
Etkinlik	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Süre: 16 Tem 2023 → 21 Tem 2023

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???event.eventtypes.event.conference???	2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Ülke/Bölge	United States
Şehir	Pasadena
Periyot	16/07/23 → 21/07/23

Bibliyografik not

Publisher Copyright:
© 2023 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

BM SKH

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Belgeye Erişim

10.1109/IGARSS52108.2023.10282098

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@conference{b76b69576fd347b788f93da466b8041f,

title = "TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION",

abstract = "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.",

author = "{\c C}ağatay Esi and Ok, \{Ali {\"O}zg{\"u}n\} and Esra Erten and Alp Ert{\"u}rk",

note = "Publisher Copyright: {\textcopyright} 2023 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",

year = "2023",

doi = "10.1109/IGARSS52108.2023.10282098",

language = "English",

}

TY - CONF

T1 - TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION

AU - Esi, Çağatay

AU - Ok, Ali Özgün

AU - Erten, Esra

AU - Ertürk, Alp

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85180735852

U2 - 10.1109/IGARSS52108.2023.10282098

DO - 10.1109/IGARSS52108.2023.10282098

M3 - Paper

AN - SCOPUS:85180735852

T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023

Y2 - 16 July 2023 through 21 July 2023

ER -

TEMPORAL ANALYSIS OF MARINE MUCILAGE IN THE SEA OF MARMARA USING UNMIXING BASED CHANGE DETECTION

Özet

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

Bibliyografik not

BM SKH

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