Remote sensing-derived time series of transient glacier snowline altitudes for High Mountain Asia, 1985-2021

被引：0

作者：

Loibl, David ^{[1
]}

Richter, Niklas ^{[1
,2
]}

Gruenberg, Inge ^{[3
]}

机构：

[1] Humboldt Univ, Geog Dept, Unter Linden 6, D-10099 Berlin, Germany

[2] Univ Innsbruck, Dept Atmospher & Cryospher Sci, Innrain 52, A-6020 Innsbruck, Austria

[3] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Div Geosci Permafrost Res, Telegrafenberg A45, D-14473 Potsdam, Germany

来源：

SCIENTIFIC DATA | 2025年 / 12卷 / 01期

关键词：

SE TIBET; INVENTORY;

D O I：

10.1038/s41597-024-04309-6

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 <middle dot> 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.

引用

页数：11