%0 Journal Article
%T Observation and Analysis of the Process of Snowmelting at Tianshan Station Using the Images by Digital Camera<br>基于数字相机拍摄影像的山区积雪消融动态观测研究—以天山积雪站为例
%A BAI Lei
%A GUO Lingpeng
%A MA Jie
%A LI Lanhai
%A <br>白磊
%A 郭玲鹏
%A 马杰
%A 李兰海
%J 资源科学
%D 2012
%I 
%X Snow cover is an essential part of the global cryosphere.With global climate change,the area of snow cover has shrunk seriously,especially in the Alpine area.Tianshan Mountain is the origin of the main rivers in central Asia and Xinjiang and seasonal snow cover is one of the primary water sources in the region.Therefore,the snow accumulation and melting process is of great significance to water management and the sustainable development of oases in Xinjiang arid area.At present,the hydrologic model used to study the snowmelt runoff on a scale of watershed includes conceptual models and distributed models.In mountain areas,snow cover monitoring based on satellite images is difficult to get the data of high temporal and spatial resolution.Besides,due to the complex terrain,the accuracy of traditional extrapolating methods used to extrapolate the snow depth reduces.With Tianshan Station for Snowcover and Avalanche Research as the research base,a digital camera was employed to monitor the area of snow cover on the sunny slope in the spring of 2011.After correcting the images by DEM of 30m resolution,the snow cover’s temporal and spatial variation process during snow-melting period within the researched area was obtained.However,images captured by calibrated Landsat5 and Snomap algorithm couldn’t identify the snow cover in the target region.At the same time,the snow depth was measured with the snowstake prepared on the sunny slope and obtained by the Classification And Regression Tree(CART) algorithm.Based on these results,the accuracy of snow-melting module of SRM model driven by different temperature variables was evaluated.The results show that it is possible to monitor snow cover by digital camera,which has significantly improved the temporal and spatial resolution of images compared to satellite.However,some technical problems should be solved.In addition,the snow depth extrapolation with CART also works well.The SRM model,driven by daily maximum air temperature and daily positive accumulative temperature can recognize the snow-melting process with daily mean temperature below 0℃.
%K CART
%K Images
%K Snow cover
%K Snow depth
%K Snow-melting model<br>分类回归树
%K 照片
%K 雪盖
%K 雪深
%K 融雪模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=A25D4F04BF1B7C11D776D062A694DB96&yid=99E9153A83D4CB11&vid=339D79302DF62549&iid=E158A972A605785F&sid=E6A0A363CA4FC5CF&eid=3EABEBD973E45554&journal_id=1007-7588&journal_name=资源科学&referenced_num=0&reference_num=38