Long Time-Series Glacier Outlines in the Three-Rivers Headwater Region From 1986 to 2021 Based on Deep Learning

Chen, Longfei; Zhang, Wanchang; Yi, Ya Sha; Zhang, Zhijie; Chao, Shijun

doi:10.1109/jstars.2022.3189277

Cited by 9 publications

(9 citation statements)

References 65 publications

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“…Given the identified limitations presented in the aforementioned methods for identification of glacier terminal points, along with the estimation of area, different techniques are required to improve the analytical process. Although many new models are being developed by research teams that involve Deep Learning computer vision models (Chen et al 2022, Robson et al 2020, this is not the approach that is pursued in the current research. This work is a fusion of image processing techniques and more traditional statistical modeling involving the selected climate factors.…”

Section: Proposed Methodsmentioning

confidence: 99%

Modeling Variations in Area and Terminus of Mountain Glaciers using Generalized Additive Models

Robbins

Hlaing

Webb

et al. 2023

Preprint

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Glaciers are important indictors of climate change as changes in glaciers physical features such as their area is in response to measurable evidence of fluctuating climate factors such as temperature, precipitation, and CO2. The remote nature of glaciers renders direct measurement impractical on anything other than a local scale. This project uses satellite imagery, taken by Landsat at regular intervals. The goal of this project is to quantify changes in the terminal point and area of Franz Josef and Gorner glaciers in response to climate factors. Multiple Regression and generalized additive models (GAM) are employed to identify significant climate factors that can explain and predict variations in the terminal point and area of the glaciers. Local temperature, CO2, and precipitation are identified as significant factors for predicting changes in the area of the Franz Josef glacier and movements in the terminal point of both, Franz Josef and Gorner glaciers. Area fluctuations in the Gorner glacier were best predicted by a generalized additive model including local and global temperature, CO2, and precipitation.

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Section: Proposed Methodsmentioning

confidence: 99%

Modeling Variations in Area and Terminus of Mountain Glaciers using Generalized Additive Models

Robbins

Hlaing

Webb

et al. 2023

Preprint

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“…The topography of the TRHR is mainly mountainous, and the elevation in the TRHR ranges widely from 2000 to 6,580 m, with an average elevation of 4,430 m. The TRHR has a typical plateau continental climate, with alternating hot and cold seasons, distinct wet and dry seasons . In 2008, the TRHR contained 1,555 glaciers distributed in the northwest, southwest, central, and eastern parts of the region and covering an area of 2,297.93 km 2 (Chen et al, 2022). Alpine meadows and alpine grasslands are the main vegetation types in the TRHR .…”

Section: Study Areamentioning

confidence: 99%

Climate-environment interactions under global warming

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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“…The topography of the TRHR is mainly mountainous, and the elevation in the TRHR ranges widely from 2000 to 6,580 m, with an average elevation of 4,430 m. The TRHR has a typical plateau continental climate, with alternating hot and cold seasons, distinct wet and dry seasons (Jiang et al, 2017). In 2008, the TRHR contained 1,555 glaciers distributed in the northwest, southwest, central, and eastern parts of the region and covering an area of 2,297.93 km 2 (Chen et al, 2022). Alpine meadows and alpine grasslands are the main vegetation types in the TRHR (Liu et al, 2008).…”

Section: Study Areamentioning

confidence: 99%

Variation in the hydrological cycle in the Three-River Headwaters Region based on multi-source data

Yang

Chen

Ding

et al. 2022

Front. Environ. Sci.

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The hydrological processes in the Three-River Headwaters Region (TRHR), which is located in the Qinghai-Tibetan Plateau and includes the Yangtze River Headwater Region (YARHR), the Yellow River Headwater Region (YERHR), and the Lantsang River Headwater Region (LARHR), have changed under climate warming. Based on multi-source data, the spatial and temporal changes in precipitation, evapotranspiration, soil water storage, glacier melt, snowmelt and runoff in the Three-River Headwaters Region from 1982 to 2014 were comprehensively analysed. The annual precipitation data for the Three-River Headwaters Region from ERA5-Land, the Climatic Research Unit, the China Meteorological Forcing Dataset and the Global Land Data Assimilation System (GLDAS) all showed an increasing trend; the annual evapotranspiration data from ERA5-Land, Global Land Data Assimilation System, Global Land Evaporation Amsterdam Model (GLEAM) and Terrestrial Evapotranspiration Dataset across China (TEDC) all showed an increasing trend; and the annual soil water storage data from ERA5-Land, Global Land Data Assimilation System and Global Land Evaporation Amsterdam Model all showed an increasing trend. The annual snowmelt data from ERA5-Land, Global Land Data Assimilation System and SMT-Y datasets all showed a decreasing trend. The annual glacier melt increased in the Yangtze River Headwater Region and Yellow River Headwater Region and decreased in the Lantsang River Headwater Region. The increases in precipitation, evapotranspiration, soil water content and glacial melt, and the decreases in snowfall and snowmelt indicate an accelerated hydrological cycle in the Three-River Headwaters Region over the 1982 to 2014 period. The significant increase in precipitation is the main reason for the significant increase in runoff in the Yangtze River Headwater Region. The increase in precipitation in the Yellow River Headwater Region was less than the sum of the increase in evapotranspiration and soil water storage, resulting in a decreasing trend of runoff in the Yellow River Headwater Region. The increase in precipitation in the Lantsang River Headwater Region was slightly larger than the sum of that in evapotranspiration and soil water storage, and there was an insignificant increase in the runoff in the Lantsang River Headwater Region.

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Long Time-Series Glacier Outlines in the Three-Rivers Headwater Region From 1986 to 2021 Based on Deep Learning

Cited by 9 publications

References 65 publications

Modeling Variations in Area and Terminus of Mountain Glaciers using Generalized Additive Models

Modeling Variations in Area and Terminus of Mountain Glaciers using Generalized Additive Models

Climate-environment interactions under global warming

Variation in the hydrological cycle in the Three-River Headwaters Region based on multi-source data

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