Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021
Abstract This study presents a new dataset of remote sensing-derived Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia. We use the Google Earth Engine to obtain TSLA data for approx. 2.8 · 104 glaciers larger than 0.5 km2. After filtering and postprocessing, the data...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04309-6 |
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| author | David Loibl Niklas Richter Inge Grünberg |
| author_facet | David Loibl Niklas Richter Inge Grünberg |
| author_sort | David Loibl |
| collection | DOAJ |
| description | Abstract This study presents a new dataset of remote sensing-derived Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia. We use the Google Earth Engine to obtain TSLA data for approx. 2.8 · 104 glaciers larger than 0.5 km2. After filtering and postprocessing, the dataset comprises ca. 9.66 million TSLA measurements with an average of 341 ± 160 measurements per glacier, covering the time span 1985 to 2021. |
| format | Article |
| id | doaj-art-f342fac3e08741608004336bebb74e37 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
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| series | Scientific Data |
| spelling | doaj-art-f342fac3e08741608004336bebb74e372025-01-19T12:09:51ZengNature PortfolioScientific Data2052-44632025-01-0112111110.1038/s41597-024-04309-6Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021David Loibl0Niklas Richter1Inge Grünberg2Geography Department, Humboldt-Universität zu BerlinGeography Department, Humboldt-Universität zu BerlinDivision: Geosciences | Permafrost Research, Alfred Wegener Institute - Helmholtz Center for Polar and Marine ResearchAbstract This study presents a new dataset of remote sensing-derived Transient Snowline Altitude (TSLA) measurements for glaciers in High Mountain Asia. We use the Google Earth Engine to obtain TSLA data for approx. 2.8 · 104 glaciers larger than 0.5 km2. After filtering and postprocessing, the dataset comprises ca. 9.66 million TSLA measurements with an average of 341 ± 160 measurements per glacier, covering the time span 1985 to 2021.https://doi.org/10.1038/s41597-024-04309-6 |
| spellingShingle | David Loibl Niklas Richter Inge Grünberg Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 Scientific Data |
| title | Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 |
| title_full | Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 |
| title_fullStr | Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 |
| title_full_unstemmed | Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 |
| title_short | Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985–2021 |
| title_sort | remote sensing derived time series of transient glacier snowline altitudes for high mountain asia 1985 2021 |
| url | https://doi.org/10.1038/s41597-024-04309-6 |
| work_keys_str_mv | AT davidloibl remotesensingderivedtimeseriesoftransientglaciersnowlinealtitudesforhighmountainasia19852021 AT niklasrichter remotesensingderivedtimeseriesoftransientglaciersnowlinealtitudesforhighmountainasia19852021 AT ingegrunberg remotesensingderivedtimeseriesoftransientglaciersnowlinealtitudesforhighmountainasia19852021 |