Glacier changes in the Sanjiangyuan Nature Reserve of China during 2000–2018

Zhang, Yuan; Yao, Xiaojun; Zhou, Sugang; Zhang, Dahong

doi:10.1007/s11442-022-1946-0

Cited by 14 publications

(3 citation statements)

References 44 publications

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“…With the accelerated warming in the region, the cryospheric elements have changed, affecting the regional hydrological processes . According to Landsat Thematic Mapper/ Operational Land Imager data, from 2000 to 2018, the number of glaciers in the TRHR region decreased by 69, and the glacier area decreased by 271.95 km 2 (Zhang et al, 2022a). Under the conditions of rapid regional warming, the glacier runoff in the three basins all present an obvious increasing trend from 1961 to 2012 (Jiang et al, 2016).…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

Climate-environment interactions under global warming

2024

Frontiers Research Topics

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“…The region's climate type is plateau continental, with extensive wetlands and dense marshes, and has abundant water resources. Sanjiangyuan is called the "Chinese Water Tower" and is the birthplace of the Yangtze River, the Yellow River, and the Lancang River, which is an important source of fresh water in China [38][39][40]. Therefore, monitoring changes in the plateau forest cover of this region is important for water conservation, the global carbon cycle, climate change analysis, and combating global warming.…”

Section: Study Area and Datamentioning

confidence: 99%

Improvements in Forest Segmentation Accuracy Using a New Deep Learning Architecture and Data Augmentation Technique

Jia

Wei

2023

Remote Sensing

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Forests are critical to mitigating global climate change and regulating climate through their role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore, essential. Image segmentation networks based on convolutional neural networks have shown significant advantages in remote sensing image analysis with the development of deep learning. However, deep learning networks typically require a large amount of manual ground truth labels for training, and existing widely used image segmentation networks struggle to extract details from large-scale high resolution satellite imagery. Improving the accuracy of forest image segmentation remains a challenge. To reduce the cost of manual labelling, this paper proposed a data augmentation method that expands the training data by modifying the spatial distribution of forest remote sensing images. In addition, to improve the ability of the network to extract multi-scale detailed features and the feature information from the NIR band of satellite images, we proposed a high-resolution forest remote sensing image segmentation network by fusing multi-scale features based on double input. The experimental results using the Sanjiangyuan plateau forest dataset show that our method achieves an IoU of 90.19%, which outperforms prevalent image segmentation networks. These results demonstrate that the proposed approaches can extract forests from remote sensing images more effectively and accurately.

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“…With the accelerated warming in the region, the cryospheric elements have changed, affecting the regional hydrological processes (Li et al, 2021b). According to Landsat Thematic Mapper/ Operational Land Imager data, from 2000 to 2018, the number of glaciers in the TRHR region decreased by 69, and the glacier area decreased by 271.95 km 2 (Zhang et al, 2022a). Under the conditions of rapid regional warming, the glacier runoff in the three basins all present an obvious increasing trend from 1961 to 2012 (Jiang et al, 2016).…”

Section: Introductionmentioning

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.

show abstract

Glacier changes in the Sanjiangyuan Nature Reserve of China during 2000–2018

Cited by 14 publications

References 44 publications

Climate-environment interactions under global warming

Climate-environment interactions under global warming

Improvements in Forest Segmentation Accuracy Using a New Deep Learning Architecture and Data Augmentation Technique

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

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