Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery

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Geospatial Data Science

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https://doi.org/10.3390/rs15245726
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Available under license: CC BY: Creative Commons Attribution 4.0 International License

Keywords

supraglacial lakes, full-year monitoring, OCO method, buried lake, Google Earth Engine, Petermann Glacier

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Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery. / Zhu, Dongyu; Zhou, Chunxia; Zhu, Yikai et al.
In: Remote Sensing, Vol. 15, No. 24, 5726, 14.12.2023.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{9a44b923990f4fd8950c35082e0e87ae,

title = "Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery",

abstract = "Change of supraglacial lakes (SGLs) is an important hydrological activity on the Greenland ice sheet (GrIS), and storage and drainage of SGLs occur throughout the year. However, current studies tend to split SGL changes into melt/non-melt seasons, ignoring the effect of buried lakes in the exploration of drainage, and the existing threshold-based approach to SGL extraction in a synthetic aperture radar (SAR) is influenced by the choice of the study area mask. In this study, a new method (Otsu–Canny–Otsu (OCO)), which accesses the features of SGLs on optical and SAR images objectively, is proposed for full-year SGL extraction with Google Earth Engine (GEE). The SGLs on the Petermann Glacier were monitored well by OCO throughout 2021, including buried lakes and more detailed rapid drainage events. Some SGLs{\textquoteright} extent varied minimally in a year (area varying by 10–25%) while some had very rapid drainage (a rapid drainage event from July 26 to 30). The SGL extraction results were influenced by factors such as the mode of polarization, the surface environment, and the depth of the lake. The OCO method can provide a more comprehensive analysis for SGL changes throughout the year.",

keywords = "supraglacial lakes, full-year monitoring, OCO method, buried lake, Google Earth Engine, Petermann Glacier",

author = "Dongyu Zhu and Chunxia Zhou and Yikai Zhu and Tao Wang and Ce Zhang",

year = "2023",

month = dec,

day = "14",

doi = "10.3390/rs15245726",

language = "English",

volume = "15",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "MDPI AG",

number = "24",

}

RIS

TY - JOUR

T1 - Monitoring of Supraglacial Lake Distribution and Full-Year Changes Using Multisource Time-Series Satellite Imagery

AU - Zhu, Dongyu

AU - Zhou, Chunxia

AU - Zhu, Yikai

AU - Wang, Tao

AU - Zhang, Ce

PY - 2023/12/14

Y1 - 2023/12/14

N2 - Change of supraglacial lakes (SGLs) is an important hydrological activity on the Greenland ice sheet (GrIS), and storage and drainage of SGLs occur throughout the year. However, current studies tend to split SGL changes into melt/non-melt seasons, ignoring the effect of buried lakes in the exploration of drainage, and the existing threshold-based approach to SGL extraction in a synthetic aperture radar (SAR) is influenced by the choice of the study area mask. In this study, a new method (Otsu–Canny–Otsu (OCO)), which accesses the features of SGLs on optical and SAR images objectively, is proposed for full-year SGL extraction with Google Earth Engine (GEE). The SGLs on the Petermann Glacier were monitored well by OCO throughout 2021, including buried lakes and more detailed rapid drainage events. Some SGLs’ extent varied minimally in a year (area varying by 10–25%) while some had very rapid drainage (a rapid drainage event from July 26 to 30). The SGL extraction results were influenced by factors such as the mode of polarization, the surface environment, and the depth of the lake. The OCO method can provide a more comprehensive analysis for SGL changes throughout the year.

AB - Change of supraglacial lakes (SGLs) is an important hydrological activity on the Greenland ice sheet (GrIS), and storage and drainage of SGLs occur throughout the year. However, current studies tend to split SGL changes into melt/non-melt seasons, ignoring the effect of buried lakes in the exploration of drainage, and the existing threshold-based approach to SGL extraction in a synthetic aperture radar (SAR) is influenced by the choice of the study area mask. In this study, a new method (Otsu–Canny–Otsu (OCO)), which accesses the features of SGLs on optical and SAR images objectively, is proposed for full-year SGL extraction with Google Earth Engine (GEE). The SGLs on the Petermann Glacier were monitored well by OCO throughout 2021, including buried lakes and more detailed rapid drainage events. Some SGLs’ extent varied minimally in a year (area varying by 10–25%) while some had very rapid drainage (a rapid drainage event from July 26 to 30). The SGL extraction results were influenced by factors such as the mode of polarization, the surface environment, and the depth of the lake. The OCO method can provide a more comprehensive analysis for SGL changes throughout the year.

KW - supraglacial lakes

KW - full-year monitoring

KW - OCO method

KW - buried lake

KW - Google Earth Engine

KW - Petermann Glacier

U2 - 10.3390/rs15245726

DO - 10.3390/rs15245726

M3 - Journal article

VL - 15

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 24

M1 - 5726

ER -

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