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Was the Pre-Event SWIR Anomaly at Tsangbu Ri a Genuine Glacier-Collapse Precursor? A Calibrated Multi-Glacier Test of the 2026 Case

Was the Pre-Event SWIR Anomaly at Tsangbu Ri a Genuine Glacier-Collapse Precursor? A Calibrated Multi-Glacier Test of the 2026 Case

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Authors

Prakash Pradhan 

Abstract

On 26 August 2026 a compound bedrock-and-glacier failure on the northern flank of the Langtang Lirung–Tsangbu Ri (Kimshung) massif, Nepal–China border, generated a rock–ice avalanche and a catastrophic downstream flood along the Bhotekoshi–Trishuli river system. A pre-event Sentinel-2 shortwave-infrared (SWIR2–NIR–Red) composite (12 August 2026) shows a sharply bounded, strongly saturated blue-to-cyan patch on the debris-mantled glacier tongue below the slope that failed fourteen days later — a real, reproducible visual feature that a naive reading might treat as a wetness precursor. That reading is tested here against two independent, calibrated baselines built from a 27-year (2000–2026), multi-sensor Landsat/Sentinel-2 reconstruction in Google Earth Engine, using a Shortwave-Infrared Wetness Index, SWI = (NIR − SWIR2)/(NIR + SWIR2).
First, a within-glacier climatological baseline, computed directly against Tsangbu Ri’s own official RGI 7.0 outline (RGI2000-v7.0-G-15-05732): the 2026 ablation-season SWI (0.758) against the catchment’s own 2000–2025 record (0.773 ± 0.084) gives z = −0.19 — a small negative departure, not the positive anomaly the visual composite suggests, and modest even in within-glacier terms alone. Second, and more decisively, an across-glacier false-positive calibration that the remote-sensing glacier-hazard literature has generally lacked: the same pipeline applied to 17 matched, non-collapsed control glaciers in the same RGI region (South Asia East), selected programmatically by elevation, area, and aspect similarity to Tsangbu Ri’s own confirmed polygon, with sensor cross-calibration and a fixed observation-density correction applied identically to target and controls. Against this empirical null distribution, Tsangbu Ri’s 2026 departure sits at the 59th percentile (Figure 6; 95% CI 33–82%, Clopper-Pearson) — ten of seventeen independently selected control glaciers show an equal-or-more-negative departure, and eleven of seventeen (65%) independently show a negative 2026 departure of their own, consistent with a regionally shared dry pattern rather than a site-specific signal. Twelve of seventeen controls (71%) show a larger absolute departure, in either direction, than Tsangbu Ri itself.
The SWIR mechanism itself — sensitivity to standing/ponded liquid water and to melt-metamorphosed, coarse-grained wet snow or firn via strong SWIR2 absorption — is interpreted here as physically well founded and literature-consistent. For the Tsangbu Ri case specifically, however, neither the within-glacier nor the calibrated across-glacier evidence supports a SWIR-based wetness precursor at the failure site. This is reported as a methodologically load-bearing finding: a visually compelling single-date spectral anomaly, and even an uncalibrated within-glacier z-score, are not sufficient grounds for a precursor claim without a matched-control false-positive rate — and the calibrated pipeline, now run directly against Tsangbu Ri’s own confirmed RGI polygon and validated for reproducibility, is set out here as one that would extend this test to a larger control sample and to other High Mountain Asia compound failures.

DOI

https://doi.org/10.31223/X56F8S

Subjects

Applied Statistics, Geographic Information Sciences, Geology, Geomorphology, Glaciology, Hydrology, Planetary Geology, Planetary Glaciology, Remote Sensing, Spatial Science, Tectonics and Structure

Keywords

glacial lake outburst flood, glacier collapse, rock–ice avalanche, shortwave infrared, supraglacial lake, wet snow, Sentinel-2, Landsat, Google Earth Engine, Langtang Himal, early warning, false-positive calibration, hindcast validation

Dates

Published: 2026-09-19 19:30

Last Updated: 2026-09-19 19:34

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License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Conflict of interest statement:
The author declares no conflict of interest

Data Availability:
Sentinel-2 Level-2A surface reflectance imagery is freely available via the Copernicus Data Space Ecosystem (dataspace.copernicus.eu). Landsat 5/7/8/9 Collection-2 Level-2 imagery is freely available via USGS EarthExplorer (earthexplorer.usgs.gov). RGI 7.0 glacier outlines (RGI Consortium 2023) are available via NSIDC; the community-hosted Google Earth Engine mirror used here (projects/sat-io/open-datasets/RGI/RGI_VECTOR_MERGED_V7, via the sat-io/awesome-gee-catalog project) is a third-party mirror, not an NSIDC-official GEE asset, and was used both to retrieve Tsangbu Ri’s own confirmed polygon and to select the 17 matched control glaciers. ITS_LIVE composite velocity mosaics are distributed by NASA MEaSUREs; no site-specific annual extraction for this glacier has yet been produced. ERA5-Land monthly reanalysis is hosted by the Copernicus Climate Change Service, and MODIS MOD11A2 products via the NASA LP DAAC. Supplementary glacier-outline metadata (source imagery dates, mapped area, and hypsometry) were retrieved from the GLIMS Glacier Database (www.glims.org; Raup et al. 2007) and the Randolph 7.0 Glacier Inventory web interface (www.glims.org/RGI/). The Google Earth Engine JavaScript processing pipeline for cloud masking, cross-sensor harmonization, fixed-N observation resampling, glacier masking, target and control-glacier geometry retrieval, multi-glacier selection and export, and the reproducibility validation described above, and R code used for the statistical analysis reported here — is provided as Supplementary Material in ZENODO (Pradhan 2026b; DOI: 10.5281/zenodo.22844563). The RGI-overlap harmonization-coefficient refit and the fine-scale, pixel-level analysis are built but not yet executed, and are clearly marked as such in the accompanying code rather than presented as completed steps.

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