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Mapping the seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020

Wendleder, Anna und Schmitt, Andreas und Erbertseder, Thilo und d'Angelo, Pablo und Mayer, Christoph und Braun, Matthias (2022) Mapping the seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020. Living Planet Symposium 2022, 23.-27.Mai 2022, Bonn, Germany.

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Kurzfassung

The existence of supraglacial lakes influences debris-covered glaciers in two ways. The absorption of solar radiation in the water leads to a higher ice ablation, and water draining through the glacier to its bed leads to a higher velocity. Rising air temperatures and changes in precipitation patterns provoke an increase in the supraglacial lakes in number and total area. However, the seasonal evolution of supraglacial lakes and thus their potential for influencing mass balance and ice dynamics has not yet been sufficiently analyzed. We present a summer time series of supraglacial lake evolution on Baltoro Glacier in the Karakoram from 2016 to 2020. The dense time series is enabled by a multi-sensor and multi-temporal approach based on optical (Sentinel-2 and PlanetScope) and Synthetic Aperture Radar (SAR; Sentinel-1 and TerraSAR-X) remote sensing data. The mapping of the seasonal lake evolution uses a semi-automatic approach, which includes a random forest classifier applied separately to each sensor. A combination of linear regression and the Hausdorff distance are used to harmonize between SAR- and optical-derived lake areas, producing a consistent and internally robust time series dynamics. Seasonal variations in lake area are linked with the Standardized Precipitation Index (SPI) and Standardized Temperature Index (STI) based on air temperature and precipitation data derived from the climate reanalysis data set ERA5-Land. The largest aggregated lake area was found in 2018 with 5.783 km2, followed by 2019 with 4.703 km2, and 2020 with 4.606 km2. 2016 and 2017 showed the smallest areas with 3.606 km2 and 3.653 km2, respectively. Our data suggest it is a warmer spring seasons (April-May) with higher precipitation rates that lead to increased formation of supraglacial lakes. The time series decomposition shows a linear increase in lake area of 11.12 ± 9.57 % per year. Although the five-year observation period is too short to derive a significant trend, the tendency for a possible increase in supraglacial lake area is in line with the pronounced positive anomalies of the SPI and STI during the observation period.

elib-URL des Eintrags:https://elib.dlr.de/187216/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Mapping the seasonal evolution of supraglacial lakes on Baltoro Glacier from 2016 to 2020
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Wendleder, AnnaAnna.Wendleder (at) dlr.dehttps://orcid.org/0009-0005-1534-4732NICHT SPEZIFIZIERT
Schmitt, Andreasandreas.schmitt (at) hm.eduNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Erbertseder, ThiloThilo.Erbertseder (at) dlr.dehttps://orcid.org/0000-0003-4888-1065NICHT SPEZIFIZIERT
d'Angelo, PabloPablo.Angelo (at) dlr.dehttps://orcid.org/0000-0001-8541-3856NICHT SPEZIFIZIERT
Mayer, ChristophBay. Akademie der WissenschaftenNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Braun, MatthiasFriedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2022
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Seitenbereich:Seite 1
Status:veröffentlicht
Stichwörter:supraglacial lake, ice-dammed lake, Baltoro Glacier, remote sensing, summer time series, multi-sensor, multi-temporal
Veranstaltungstitel:Living Planet Symposium 2022
Veranstaltungsort:Bonn, Germany
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:23.-27.Mai 2022
Veranstalter :ESA
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Fernerkundung u. Geoforschung
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Dynamik der Landoberfläche
Hinterlegt von: Wendleder, Anna
Hinterlegt am:25 Jul 2022 11:46
Letzte Änderung:29 Mär 2023 00:51

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