ArticleScientific data2026
New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI).
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- New inventory of glaciers in Tajikistan from 3 m PlanetScope imagery (2024): the Tajikistan Glacier Inventory (TGI).Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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 However, existing glacier data products suffer from several limitations, including outdated temporal coverage, coarse spatial resolution, and inadequate mapping of debris-covered glaciers.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
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.