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A new time-stamped glacier inventory of High Mountain Asia based on deep learning and remote sensing big data in 2020 认领 引用
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作者 Changqing KE Yao XIAO +12 位作者 Yubin FAN Lanhua LUO Yu CAI Xiaoyi SHEN Genyu WANG Juan WU Lichao ZHUANG Jingming WANG Yige LIU Dianwei SHAO Zhiyue HE Xiaozhou HU Tengfei YUAN 《Science China Earth Sciences》 SCIE EI CSCD 2026年第1期236-252,共17页
The High Mountain Asia(HMA) hosts the largest and most extensive mid-to low-latitude mountain glaciers,forming a crucial part of the “Asian Water Tower”.The temporal span of remote sensing data in previous regional ... The High Mountain Asia(HMA) hosts the largest and most extensive mid-to low-latitude mountain glaciers,forming a crucial part of the “Asian Water Tower”.The temporal span of remote sensing data in previous regional glacier inventories impacts quantitative estimates in glaciological studies.Remote sensing big data,including cloud-free Sentinel-2 and Landsat-8 optical imagery,along with Sentinel-1 SAR data during the ablation period from July to September 2020,were utilized to generate a new time-stamped glacier inventory for the HMA(HMAGI-2020).Glacier outlines were automatically delineated using a VGG16-UNET deep learning model,leveraging unique spectral,polarization,and topographic characteristics as inputs,achieving an accuracy of up to 92.8%.The automated results were segmented based on existing glacier inventories,followed by manual corrections conducted primarily using Sentinel-2,supplemented by Landsat-8 in areas covered by optical imagery.A total of 93043 glaciers were manually corrected,and 15 attributes,including area,perimeter,and terrain parameters derived from the Copernicus DEM,were calculated for each glacier.The HMAGI-2020 includes 97934 glaciers whose area is larger than 0.01 km2,covering an area of 91837.77±2527.70 km2.The mean uncertainty of glacier delineation was calculated to be ±6.67% using a buffer-zone method combined with the VGG16-UNET.Across the HMA,the average glacier surface elevation is approximately 5094 m,with an average slope of 25.66°.Over 75% of glaciers are oriented toward the south,southwest,or southeast.Comparison with previous glacier inventories revealed a retreat of HMA glaciers over the past two decades,with glacier area reductions exceeding 20% in the southeastern HMA.In contrast,the Karakoram-West Kunlun region remains relatively stable,with only a slight area increase of less than 1%.Due to its advantages in data source consistency and temporal precision,the HMAGI-2020 is regarded as providing accurate glacier boundaries and attributes in 2020.This inventory is expected to provide essential data support for research on glaciology,climate change,and water resource management of the HMA in the context of global change. 展开更多
关键词 Glacier inventory Remote sensing Big data Deep learning High Mountain Asia
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Exploration and design of knitted composites for architectural application: The MeiTing project 认领 引用
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作者 Yige Liu Hao Hua Biao Li 《Frontiers of Architectural Research》 CSCD 2022年第4期594-608,共15页
Knitted composites are textile composite materials that consist of knitted textile reinforcement and polymer matrix. Knitted composites exhibit great design flexibility by allowing the customization of shapes, texture... Knitted composites are textile composite materials that consist of knitted textile reinforcement and polymer matrix. Knitted composites exhibit great design flexibility by allowing the customization of shapes, textures, and material properties. These features facilitate the optimization of buildings’ material systems and the creation of buildings with light weight and high material efficiency.To achieve such a lightweight, material-efficient building structure with knitted composites, this research investigates the material properties of knitted composites and proposes a design process for building-scale knitted composite systems. In the material study, this research examines certain mechanical properties of the material and the effects of additional design elements. In the design exploration, this research explores the design workflow of the structural form, element arrangement, and knit distribution of the material system at the macro-, meso-, and microscales. The project of MeiTing serves as proof of the concept and the design workflow. 展开更多
关键词 Knitted composites Architectural application CNC knitting Material study Design workflow
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