New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI)

Abstract Glaciers in Tajikistan serve as a crucial water source in Central Asia. However, existing glacier data products suffer from several limitations, including outdated temporal coverage, coarse spatial resolution, and inadequate mapping of debris-covered glaciers. To address these issues, we have developed the Tajikistan Glacier Inventory (TGI), a high-resolution national-scale glacier dataset derived from 3 m resolution PlanetScope imagery acquired in 2024. Using a deep-learning model enhanced with an attention mechanism, we achieved precise glacier mapping, with validation confirming high overall accuracy (F1 = 92.1%, IoU = 85.4%). The model performed robustly in classifying both clean ice (F1 = 93.3%) and debris-covered ice (F1 = 90.8%). The TGI identifies 12,325 glaciers covering an area of 7,720.26 km 2 . It provides a systematic, glacier-level distinction between clean and debris-covered ice nationwide. This new inventory indicates an approximate 11% reduction in glacierized area relative to the Randolph Glacier Inventory, which aligns with the significant glacier loss observed over the past two decades. Released as an open-access resource, the TGI establishes a timely and reliable baseline for assessing regional water security, glacier-related hazards, and climate-change impacts across Central Asia.

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Publication Details

Journal
Scientific Data
Published
2026-05-23
DOI
https://doi.org/10.1038/s41597-026-07486-8
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
0.00

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article

New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI)

Ardamehr Halimov, Ruonan Li, Majid Gulayozov, Mustafo Safarov et al.
Scientific Data
Cryospheric studies and observations
article

New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI)

Ardamehr Halimov, Ruonan Li, Majid Gulayozov, Mustafo Safarov, Junli Li
article en

Abstract

Abstract Glaciers in Tajikistan serve as a crucial water source in Central Asia. However, existing glacier data products suffer from several limitations, including outdated temporal coverage, coarse spatial resolution, and inadequate mapping of debris-covered glaciers. To address these issues, we have developed the Tajikistan Glacier Inventory (TGI), a high-resolution national-scale glacier dataset derived from 3 m resolution PlanetScope imagery acquired in 2024. Using a deep-learning model enhanced with an attention mechanism, we achieved precise glacier mapping, with validation confirming high overall accuracy (F1 = 92.1%, IoU = 85.4%). The model performed robustly in classifying both clean ice (F1 = 93.3%) and debris-covered ice (F1 = 90.8%). The TGI identifies 12,325 glaciers covering an area of 7,720.26 km 2 . It provides a systematic, glacier-level distinction between clean and debris-covered ice nationwide. This new inventory indicates an approximate 11% reduction in glacierized area relative to the Randolph Glacier Inventory, which aligns with the significant glacier loss observed over the past two decades. Released as an open-access resource, the TGI establishes a timely and reliable baseline for assessing regional water security, glacier-related hazards, and climate-change impacts across Central Asia.

Scientific Data
Academy of Sciences of the Republic of Tajikistan (TJ), Xinjiang Uygur Autonomous Region Product Quality Supervision and Inspection Institute (CN), Institute of Ecology and Geography (MD), Xinjiang Institute of Ecology and Geography (CN), Xinjiang Uygur Autonomous Region Institute of Metrology and Measurement (CN), University of Chinese Academy of Sciences (CN)
Natural Science Foundation of Xinjiang Province
Climate action
Openalex Percentile: Top 5%
Cryospheric studies and observations
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