Inicio  /  Water  /  Vol: 9 Núm: 4 Par: 0 (2017)  /  Artículo
ARTÍCULO
TITULO

Large Differences between Glaciers 3D Surface Extents and 2D Planar Areas in Central Tianshan

Xianwei Wang    
Huijiao Chen    
Yaning Chen    

Resumen

Most glaciers in China lie in high mountainous environments and have relatively large surface slopes. Common analyses consider glaciers? projected areas (2D Area) in a two-dimensional plane, which are much smaller than glacier?s topographic surface extents (3D Area). The areal difference between 2D planar areas and 3D surface extents exceeds -5% when the glacier?s surface slope is larger than 18°. In this study, we establish a 3D model in the Muzart Glacier catchment using ASTER GDEM data. This model is used to quantify the areal difference between glaciers? 2D planar areas and their 3D surface extents in various slope zones and elevation bands by using the second Chinese Glacier Inventory (CGI2). Finally, we analyze the 2D and 3D area shrinking rate between 2007 and 2013 in Central Tianshan using glaciers derived from Landsat images by an object-based classification approach. This approach shows an accuracy of 89% when it validates by comparison of glaciers derived from Landsat and high spatial resolution GeoEye images. The extracted glaciers in 2007 also have an agreement of 89% with CGI2 data in the Muzart Glacier catchment. The glaciers? 3D area is 34.2% larger than their 2D area from CGI2 in the Muzart Glacier catchment and by 27.9% in the entire Central Tianshan. Most underestimation occurs in the elevation bands of 4000?5000 m above sea level (a.s.l.). The 3D glacier areas reduced by 30 and 115 km2 between 2007 and 2013 in the Muzart Glacier catchment and Central Tianshan, being 37.0% and 27.6% larger than their 2D areas reduction, respectively. The shrinking rates decrease with elevation increase.

Palabras claves

 Artículos similares

       
 
Jonathan Stiles, Harvey Miller     Pág. 97 - 113
This study identifies built environmental factors that influence the determination of fault in urban pedestrian crashes in the United States, with implications for both safety and equity. Using data from Columbus, Ohio, we apply regression modeling, spat... ver más

 
Chinyang Henry Tseng, Woei-Jiunn Tsaur and Yueh-Mao Shen    
In detecting large-scale attacks, deep neural networks (DNNs) are an effective approach based on high-quality training data samples. Feature selection and feature extraction are the primary approaches for data quality enhancement for high-accuracy intrus... ver más
Revista: Future Internet

 
Ran Luo, Wei Li, Jiayou Zhong, Taotao Dai, Jinfu Liu, Xiaoliang Zhang, Yuwei Chen and Guiqing Gao    
Dredging, adsorbent inactivation, and phytoremediation are commonly used to control internal nitrogen and phosphorus sediment loads in eutrophic still-water ecosystems, such as lakes and ponds. However, the effectiveness of these remediation techniques h... ver más
Revista: Water

 
Ali Dorosti, Ali Asghar Alesheikh and Mohammad Sharif    
Advancements in navigation and tracking technologies have resulted in a significant increase in movement data within road networks. Analyzing the trajectories of network-constrained moving objects makes a profound contribution to transportation and urban... ver más
Revista: Information

 
Bahaa Yamany, Mahmoud Said Elsayed, Anca D. Jurcut, Nashwa Abdelbaki and Marianne A. Azer    
Ransomware is a type of malicious software that encrypts a victim?s files and demands payment in exchange for the decryption key. It is a rapidly growing and evolving threat that has caused significant damage and disruption to individuals and organizatio... ver más
Revista: Information