{"title":"基于TanDEM-X的喀喇昆仑地区大地冰川物质平衡(2011-2019):InSAR DEM差异框架","authors":"Shiyi Li , Irena Hajnsek","doi":"10.1016/j.rse.2025.115023","DOIUrl":null,"url":null,"abstract":"<div><div>Glaciers serve as sensitive indicators of climate change, influencing both regional water supplies and global sea-level rise. Contrasting to the global tendency towards retreat, glaciers in the Karakoram exhibits an unusual pattern of stability and modest thickening. However, the spatial variability and underlying causes of the mass balance anomalies remain insufficiently understood, primarily due to the limitations in previous measurement methods. To address this gap, we conducted a comprehensive geodetic analysis of glacier elevation changes in the central and eastern Karakoram, covering 681 glaciers of over 10,000 km<sup>2</sup> between 2011 and 2019. The elevation was measured exclusively with TanDEM-X InSAR data to reduce penetration bias and temporal ambiguities. The geodetic analysis was conducted using a three-module DEM Differencing framework. In this framework, the first module generates high-quality InSAR DEM with an iterative approach to address the challenges of mountainous terrain for InSAR processing; the second module employed an innovative voids filling method using Gaussian Process Regression for robust elevation change mapping; and the third module incorporates a non-stationary uncertainty analysis for rigorous uncertainty quantification. The results reveal a regional mean elevation change rate of <span><math><mrow><mn>0</mn><mo>.</mo><mn>0038</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>0042</mn><mspace></mspace><mi>m</mi><mspace></mspace><msup><mrow><mi>yr</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span> and a specific mass balance of <span><math><mrow><mn>0</mn><mo>.</mo><mn>0032</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>0052</mn><mspace></mspace><mi>m</mi><mspace></mspace><mi>w.e.</mi><mspace></mspace><msup><mrow><mi>yr</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span>, indicating slight overall thickening during the study period. The spatial patterns of elevation change display pronounced heterogeneity and clear differences between surge-type and non-surge glaciers, reflecting the complex interplay of dynamic, climatic, and morphological factors in the region. This study demonstrates the capability of high-resolution TanDME-X InSAR DEM for accurate geodetic mass balance analysis in challenging mountain environments. The proposed framework provides a scalable methodology for future large-scale glacier studies.</div></div>","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"331 ","pages":"Article 115023"},"PeriodicalIF":11.4000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Geodetic glacier mass balance in the Karakoram (2011–2019) from TanDEM-X: An InSAR DEM differencing framework\",\"authors\":\"Shiyi Li , Irena Hajnsek\",\"doi\":\"10.1016/j.rse.2025.115023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Glaciers serve as sensitive indicators of climate change, influencing both regional water supplies and global sea-level rise. Contrasting to the global tendency towards retreat, glaciers in the Karakoram exhibits an unusual pattern of stability and modest thickening. However, the spatial variability and underlying causes of the mass balance anomalies remain insufficiently understood, primarily due to the limitations in previous measurement methods. To address this gap, we conducted a comprehensive geodetic analysis of glacier elevation changes in the central and eastern Karakoram, covering 681 glaciers of over 10,000 km<sup>2</sup> between 2011 and 2019. The elevation was measured exclusively with TanDEM-X InSAR data to reduce penetration bias and temporal ambiguities. The geodetic analysis was conducted using a three-module DEM Differencing framework. In this framework, the first module generates high-quality InSAR DEM with an iterative approach to address the challenges of mountainous terrain for InSAR processing; the second module employed an innovative voids filling method using Gaussian Process Regression for robust elevation change mapping; and the third module incorporates a non-stationary uncertainty analysis for rigorous uncertainty quantification. The results reveal a regional mean elevation change rate of <span><math><mrow><mn>0</mn><mo>.</mo><mn>0038</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>0042</mn><mspace></mspace><mi>m</mi><mspace></mspace><msup><mrow><mi>yr</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span> and a specific mass balance of <span><math><mrow><mn>0</mn><mo>.</mo><mn>0032</mn><mo>±</mo><mn>0</mn><mo>.</mo><mn>0052</mn><mspace></mspace><mi>m</mi><mspace></mspace><mi>w.e.</mi><mspace></mspace><msup><mrow><mi>yr</mi></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></math></span>, indicating slight overall thickening during the study period. The spatial patterns of elevation change display pronounced heterogeneity and clear differences between surge-type and non-surge glaciers, reflecting the complex interplay of dynamic, climatic, and morphological factors in the region. This study demonstrates the capability of high-resolution TanDME-X InSAR DEM for accurate geodetic mass balance analysis in challenging mountain environments. The proposed framework provides a scalable methodology for future large-scale glacier studies.</div></div>\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"331 \",\"pages\":\"Article 115023\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725004274\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725004274","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Geodetic glacier mass balance in the Karakoram (2011–2019) from TanDEM-X: An InSAR DEM differencing framework
Glaciers serve as sensitive indicators of climate change, influencing both regional water supplies and global sea-level rise. Contrasting to the global tendency towards retreat, glaciers in the Karakoram exhibits an unusual pattern of stability and modest thickening. However, the spatial variability and underlying causes of the mass balance anomalies remain insufficiently understood, primarily due to the limitations in previous measurement methods. To address this gap, we conducted a comprehensive geodetic analysis of glacier elevation changes in the central and eastern Karakoram, covering 681 glaciers of over 10,000 km2 between 2011 and 2019. The elevation was measured exclusively with TanDEM-X InSAR data to reduce penetration bias and temporal ambiguities. The geodetic analysis was conducted using a three-module DEM Differencing framework. In this framework, the first module generates high-quality InSAR DEM with an iterative approach to address the challenges of mountainous terrain for InSAR processing; the second module employed an innovative voids filling method using Gaussian Process Regression for robust elevation change mapping; and the third module incorporates a non-stationary uncertainty analysis for rigorous uncertainty quantification. The results reveal a regional mean elevation change rate of and a specific mass balance of , indicating slight overall thickening during the study period. The spatial patterns of elevation change display pronounced heterogeneity and clear differences between surge-type and non-surge glaciers, reflecting the complex interplay of dynamic, climatic, and morphological factors in the region. This study demonstrates the capability of high-resolution TanDME-X InSAR DEM for accurate geodetic mass balance analysis in challenging mountain environments. The proposed framework provides a scalable methodology for future large-scale glacier studies.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.