{"title":"Supra-glacier debris cover expansion and recession of glaciers across Himalaya and Karakoram range","authors":"Arvind Chandra Pandey , Mrityunjoy Kumbhakar , Chandra Shekhar Dwivedi , Rakesh Bhambri","doi":"10.1016/j.rsase.2025.101674","DOIUrl":null,"url":null,"abstract":"<div><div>The Himalaya and the Karakoram Range are intensely glacierized, with large parts covered by debris cover that strongly influences ablation rates. Therefore, monitoring for Supra Glacial Debris (SGD) coverage is highly essential. The current study focuses on 24 debris-covered glaciers (DCG) across these extensive regions, mapping their spatial distribution, morphometric variations, and frontal retreat. We modified the RGI outlines using Standard False Colour Composite satellite imagery and ASTER GDEM data to assess the uncertainty for the mapped outlines. In order to map and monitor SGD, the highly accurate image classification technique of Random Forest was implemented through Google Earth Engine (GEE) - a cloud computing platform. It integrated Landsat TM, OLI, and also OLI-2 high-resolution imagery of the years 1992 and 2022 during peak ablation periods. The result exhibited increasing upward expansion and spatial coverage of SGD across all studied glaciers. All morphometric parameters showed significant changes in dimensions where most glaciers retreated. Our study also analyzed the relationship between various morphometric parameters and established a relationship between the coverage by SGD and the retreat of glaciers. Although the relation is not strong, it establishes a fact that increased coverage by SGD influences the rate of melting. Significantly, glaciers in the Central and Western Himalaya are melting at a faster rate than those in the Karakoram Ranges.</div></div>","PeriodicalId":53227,"journal":{"name":"Remote Sensing Applications-Society and Environment","volume":"39 ","pages":"Article 101674"},"PeriodicalIF":4.5000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing Applications-Society and Environment","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352938525002277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The Himalaya and the Karakoram Range are intensely glacierized, with large parts covered by debris cover that strongly influences ablation rates. Therefore, monitoring for Supra Glacial Debris (SGD) coverage is highly essential. The current study focuses on 24 debris-covered glaciers (DCG) across these extensive regions, mapping their spatial distribution, morphometric variations, and frontal retreat. We modified the RGI outlines using Standard False Colour Composite satellite imagery and ASTER GDEM data to assess the uncertainty for the mapped outlines. In order to map and monitor SGD, the highly accurate image classification technique of Random Forest was implemented through Google Earth Engine (GEE) - a cloud computing platform. It integrated Landsat TM, OLI, and also OLI-2 high-resolution imagery of the years 1992 and 2022 during peak ablation periods. The result exhibited increasing upward expansion and spatial coverage of SGD across all studied glaciers. All morphometric parameters showed significant changes in dimensions where most glaciers retreated. Our study also analyzed the relationship between various morphometric parameters and established a relationship between the coverage by SGD and the retreat of glaciers. Although the relation is not strong, it establishes a fact that increased coverage by SGD influences the rate of melting. Significantly, glaciers in the Central and Western Himalaya are melting at a faster rate than those in the Karakoram Ranges.
期刊介绍:
The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems