中国科学院机构知识库网格系统: 检索

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	New insights into trace elements in the water cycle of a karst-dominated glacierized region, southeast Tibetan Plateau 期刊论文 OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 751, 页码: 11 作者: Pu, Tao; Kong, Yanlong; Kang, Shichang; Shi, Xiaoyi; Zhang, Guotao \| 收藏 \| 浏览/下载：61/0 \| 提交时间：2021/01/08 Trace elements Source identification Water quality Yulong Snow Mountain Tibetan Plateau
	New insights into trace elements in the water cycle of a karst-dominated glacierized region, southeast Tibetan Plateau 期刊论文 OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 751, 页码: 141725 作者: Pu Tao; Kong Yanlong; Kang Shichang; Shi Xiaoyi; Zhang Guotao \| 收藏 \| 浏览/下载：57/0 \| 提交时间：2020/12/18 Trace elements Source identification Water quality Yulong Snow Mountain Tibetan Plateau
	An Effective Method for Snow-Cover Mapping of Dense Coniferous Forests in the Upper Heihe River Basin Using Landsat Operational Land Imager Data 期刊论文 iSwitch采集 REMOTE SENSING, 2015, 卷号: 7, 期号: 12, 页码: 17246-17257 作者: Wang, Xiao-Yan; Wang, Jian; Jiang, Zhi-Yong; Li, Hong-Yi; Hao, Xiao-Hua 收藏 \| 浏览/下载：105/0 \| 提交时间：2019/10/09 remote sensing snow identification forest OLI
	Retrieval of snow depth in Northeast China using FY-3B/MWRI passive microwave remote sensing data (EI CONFERENCE) 会议论文 OAI收割 Satellite Data Compression, Communications, and Processing VIII, August 12, 2012 - August 13, 2012, San Diego, CA, United states Ren R.; Gu L.; Chen H.; Cao J. 收藏 \| 浏览/下载：146/0 \| 提交时间：2013/03/25 Comparing with optical remote sensing techniques passive remote sensing data have been proved to be effective for observing snowpack parameters such as snow depth and snow water equivalent which can penetrate snowpack without clouds interferences. The Microwave Radiation Imager (MWRI) loaded on the Chinese FengYun-3B (FY-3B) satellite is gradually used in the global environment research through November 2011. In this paper we proposed a snow depth retrieval algorithm to estimate snow depth in Northeast China using MWRI passive microwave remote sensing data. A decision tree method of snow identification was firstly designed to distinguish different snow cover conditions in order to eliminate other interference signals. After using the proposed decision tree method the processing results were further used to retrieve the snow depth in Northeast China. Finally the practical snow depth data and the MODIS data were collected for the accuracy assessment of the proposed snow depth retrieval method. The experimental results demonstrated that the RMSE of snow depth used the proposed method was approximately 3 cm in Northeast China. 2012 SPIE.
	Dominant Bacteria and Biomass in the Kuytun 51 Glacier 期刊论文 OAI收割 APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2009, 卷号: 75, 期号: 22, 页码: 7287-7290 作者: Yao TD(姚檀栋) 收藏 \| 浏览/下载：27/0 \| 提交时间：2010/06/17 PHYSIOLOGICAL DIVERSITY MICROBIAL COMMUNITIES ICE CORE MICROORGANISMS SNOW IDENTIFICATION RECOVERY SVALBARD