Diagnosing the Controls of the 2025 Talidas GLOF Using Multi-Source Satellite Observations.

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Title: Diagnosing the Controls of the 2025 Talidas GLOF Using Multi-Source Satellite Observations.
Authors: Khan, Imran1,2 (AUTHOR) imran.khan@unh.edu, Johnston, Jeremy M.1,2 (AUTHOR), Jacobs, Jennifer M.1,2 (AUTHOR)
Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1329. 22p.
Subjects: Satellite-based remote sensing, Glacial lakes, Snowmelt, Climate change, Hazards
Geographic Terms: Pakistan
Abstract: Highlights: What are the main findings? The 2025 Talidas GLOF followed a period of rapid lake expansion during the warmest melt season, coinciding with early and persistent snow depletion relative to the 2000–2024 baseline record. Multi-decadal satellite records (1992–2024) show intermittent lake formation prior to 2022, although Landsat revisit limitations could be a factor. What are the implications of the main findings? Sustained climatic anomalies and cryospheric preconditioning can destabilize moraine-dammed lakes even in the absence of a discrete trigger such as landslides. Multi-sensor remote sensing time series provides a robust framework for monitoring glacial lake evolution and detecting anomalous pre-GLOF conditions. Glacial lake outburst floods (GLOFs) are high-impact hazards in mountain regions, yet many events remain poorly documented because field access is limited and lake evolution can occur on sub-weekly time scales. Here, we used high spatiotemporal resolution PlanetScope imagery (3 m) to quantify the seasonal evolution and abrupt drainage of a moraine-dammed glacial lake in August 2025 in northern Pakistan. Historical lake dynamics were reconstructed using PlanetScope (2016–2024) imagery and multi-decadal Landsat observations (1992–2018). Climatic conditions were evaluated using ERA5-Land temperature data, and seasonal snow dynamics were characterized using MODIS and PlanetScope-based snow cover analyses. Multi-decadal satellite imagery indicates that lake formation in this catchment was historically intermittent, with no evidence of abrupt drainage before 2025, highlighting the anomalous nature of the event. PlanetScope observations show steady lake expansion throughout summer 2025, reaching a maximum area of 0.052 km2 prior to the GLOF on August 22. Pre- and post-event imagery reveals no discernible landslide or impact trigger. Instead, the observations are most consistent with a failure mechanism driven by meltwater-driven lake growth and overtopping or erosion of the moraine dam. The 2025 summer season (June to September) was characterized by exceptionally warm conditions and unprecedented early snow depletion relative to the 2000–2024 baseline, suggesting a strong climatic and cryospheric contribution to the outburst. These results demonstrate the value of integrating dense time series of satellite observations and climatic data for capturing glacial-lake life cycles and diagnosing likely controls on outburst initiation. The study highlights the critical role of high-frequency satellite remote sensing for improving GLOF monitoring and early-warning capabilities in data-scarce mountain environments. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Diagnosing the Controls of the 2025 Talidas GLOF Using Multi-Source Satellite Observations.
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  Data: <searchLink fieldCode="AR" term="%22Khan%2C+Imran%22">Khan, Imran</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> imran.khan@unh.edu</i><br /><searchLink fieldCode="AR" term="%22Johnston%2C+Jeremy+M%2E%22">Johnston, Jeremy M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jacobs%2C+Jennifer+M%2E%22">Jacobs, Jennifer M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. May2026, Vol. 18 Issue 9, p1329. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Satellite-based+remote+sensing%22">Satellite-based remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Glacial+lakes%22">Glacial lakes</searchLink><br /><searchLink fieldCode="DE" term="%22Snowmelt%22">Snowmelt</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+change%22">Climate change</searchLink><br /><searchLink fieldCode="DE" term="%22Hazards%22">Hazards</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Pakistan%22">Pakistan</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highlights: What are the main findings? The 2025 Talidas GLOF followed a period of rapid lake expansion during the warmest melt season, coinciding with early and persistent snow depletion relative to the 2000–2024 baseline record. Multi-decadal satellite records (1992–2024) show intermittent lake formation prior to 2022, although Landsat revisit limitations could be a factor. What are the implications of the main findings? Sustained climatic anomalies and cryospheric preconditioning can destabilize moraine-dammed lakes even in the absence of a discrete trigger such as landslides. Multi-sensor remote sensing time series provides a robust framework for monitoring glacial lake evolution and detecting anomalous pre-GLOF conditions. Glacial lake outburst floods (GLOFs) are high-impact hazards in mountain regions, yet many events remain poorly documented because field access is limited and lake evolution can occur on sub-weekly time scales. Here, we used high spatiotemporal resolution PlanetScope imagery (3 m) to quantify the seasonal evolution and abrupt drainage of a moraine-dammed glacial lake in August 2025 in northern Pakistan. Historical lake dynamics were reconstructed using PlanetScope (2016–2024) imagery and multi-decadal Landsat observations (1992–2018). Climatic conditions were evaluated using ERA5-Land temperature data, and seasonal snow dynamics were characterized using MODIS and PlanetScope-based snow cover analyses. Multi-decadal satellite imagery indicates that lake formation in this catchment was historically intermittent, with no evidence of abrupt drainage before 2025, highlighting the anomalous nature of the event. PlanetScope observations show steady lake expansion throughout summer 2025, reaching a maximum area of 0.052 km2 prior to the GLOF on August 22. Pre- and post-event imagery reveals no discernible landslide or impact trigger. Instead, the observations are most consistent with a failure mechanism driven by meltwater-driven lake growth and overtopping or erosion of the moraine dam. The 2025 summer season (June to September) was characterized by exceptionally warm conditions and unprecedented early snow depletion relative to the 2000–2024 baseline, suggesting a strong climatic and cryospheric contribution to the outburst. These results demonstrate the value of integrating dense time series of satellite observations and climatic data for capturing glacial-lake life cycles and diagnosing likely controls on outburst initiation. The study highlights the critical role of high-frequency satellite remote sensing for improving GLOF monitoring and early-warning capabilities in data-scarce mountain environments. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/rs18091329
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        Text: English
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        PageCount: 22
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      – SubjectFull: Satellite-based remote sensing
        Type: general
      – SubjectFull: Glacial lakes
        Type: general
      – SubjectFull: Snowmelt
        Type: general
      – SubjectFull: Climate change
        Type: general
      – SubjectFull: Hazards
        Type: general
      – SubjectFull: Pakistan
        Type: general
    Titles:
      – TitleFull: Diagnosing the Controls of the 2025 Talidas GLOF Using Multi-Source Satellite Observations.
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            NameFull: Khan, Imran
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            NameFull: Johnston, Jeremy M.
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            – D: 01
              M: 05
              Text: May2026
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              Y: 2026
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