Analysis of salt lake volume dynamics using sentinel-1 based SBAS measurements: A case study of lake Tuz, Turkey

MakaleAçık Erişim
  • SDG 6 · Temiz Su ve Sanitasyon

Özet

As one of the largest hypersaline lakes, Lake Tuz, located in the middle of Turkey, is a key waterbird habitat and is classified as a Special Environmental Protection Area in the country. It is a dynamic lake, highly affected by evaporation due to its wide expanse and shallowness (water depth <40 cm), in addition to being externally exploited by salt companies. Monitoring the dynamics of its changes in volume, which cause ecological problems, is required to protect its saline lake functions. In this context, a spatially homogeneous distributed gauge could be critical for monitoring and rapid response; however, the number of gauge stations and their vicinity is insufficient for the entire lake. The present study focuses on assessing the feasibility of a time-series interferometric technique, namely the small baseline subset (SBAS), for monitoring volume dynamics, based on freely available Sentinel-1 data. A levelling observation was also performed to quantify the accuracy of the SBAS results. Regression analysis between water levels, which is one of the most important volume dynamics, derived by SBAS and levelling in February, April, July and October was 67%, 80%, 84%, and 95% respectively, for correlation in the range of 10–40 cm in water level, and was in line with levelling. Salt lake components such as water, vegetation, moist soil, dry soil, and salt, were also classified with Sentinel-2 multispectral images over time to understand the reliability of the SBAS measurements based on interferometric coherence over different surface types. The findings indicate that the SBAS method with Sentinel-1 is a good alternative for measuring lake volume dynamics, including the monitoring of water level and salt movement, especially for the dry season. Even though the number of coherent, measurable, samples (excluding water) decrease during the wet season, there are always sufficient coherent samples (>0.45) over the lake.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/13327Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.3390/rs13142701Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorBilgilioğlu, Burhan Baha
dc.contributor.authorErten, Esra
dc.contributor.authorMusaoğlu, Nebiye
dc.date.accessioned2026-10-22T10:21:13.073077913Z
dc.date.available2026-10-22T10:21:13.073077913Z
dc.date.issued2021
dc.description.abstractAs one of the largest hypersaline lakes, Lake Tuz, located in the middle of Turkey, is a key waterbird habitat and is classified as a Special Environmental Protection Area in the country. It is a dynamic lake, highly affected by evaporation due to its wide expanse and shallowness (water depth <40 cm), in addition to being externally exploited by salt companies. Monitoring the dynamics of its changes in volume, which cause ecological problems, is required to protect its saline lake functions. In this context, a spatially homogeneous distributed gauge could be critical for monitoring and rapid response; however, the number of gauge stations and their vicinity is insufficient for the entire lake. The present study focuses on assessing the feasibility of a time-series interferometric technique, namely the small baseline subset (SBAS), for monitoring volume dynamics, based on freely available Sentinel-1 data. A levelling observation was also performed to quantify the accuracy of the SBAS results. Regression analysis between water levels, which is one of the most important volume dynamics, derived by SBAS and levelling in February, April, July and October was 67%, 80%, 84%, and 95% respectively, for correlation in the range of 10–40 cm in water level, and was in line with levelling. Salt lake components such as water, vegetation, moist soil, dry soil, and salt, were also classified with Sentinel-2 multispectral images over time to understand the reliability of the SBAS measurements based on interferometric coherence over different surface types. The findings indicate that the SBAS method with Sentinel-1 is a good alternative for measuring lake volume dynamics, including the monitoring of water level and salt movement, especially for the dry season. Even though the number of coherent, measurable, samples (excluding water) decrease during the wet season, there are always sufficient coherent samples (>0.45) over the lake.
dc.description.sponsorshipITU BAP, (MGA-2017-40803)
dc.description.sponsorshipEuropean Space Agency, ESA
dc.description.sponsorshipIstanbul Teknik Üniversitesi, IT
dc.identifier.articlenumber2701
dc.identifier.doi10.3390/rs13142701
dc.identifier.eissn2072-4292
dc.identifier.issn2072-4292
dc.identifier.issue14
dc.identifier.scopus2-s2.0-85110875574
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/13327
dc.identifier.volume13
dc.identifier.wosWOS:000677039500001
dc.language.isoen
dc.publisherMDPI AG
dc.relation.ispartofRemote Sensing
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectInSAR
dc.subjectLake Tuz
dc.subjectSentinel
dc.subjectWater level
dc.subjectWetland
dc.subject.classificationEnvironmental Sciences
dc.subject.classificationGeosciences, Multidisciplinary
dc.subject.classificationRemote Sensing
dc.subject.classificationImaging Science & Photographic Technology
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.classificationGeology
dc.subject.otherDynamics
dc.subject.otherGages
dc.subject.otherInterferometry
dc.subject.otherWater levels
dc.subject.otherChanges in volume
dc.subject.otherEcological problem
dc.subject.otherHypersaline lakes
dc.subject.otherInterferometric coherence
dc.subject.otherInterferometric techniques
dc.subject.otherMultispectral images
dc.subject.otherSmall baseline subsets
dc.subject.otherSpatially homogeneous
dc.subject.otherLakes
dc.titleAnalysis of salt lake volume dynamics using sentinel-1 based SBAS measurements: A case study of lake Tuz, Turkey
dc.typeArticle
dspace.entity.typePublication
rdl.citation.openalex6
rdl.citation.scopus4
rdl.citation.wos5
rdl.oa.statusgold
rdl.oa.urlhttps://www.mdpi.com/2072-4292/13/14/2701/pdf?version=1625813759
rdl.sdgSDG06
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)