中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共4条，第1-4条

帮助

条数/页：排序方式：
	An improved volumetric method of geothermal resources assessment for shallow ground combining geophysical data 期刊论文 OAI收割 RENEWABLE ENERGY, 2020, 卷号: 145, 页码: 2306-2315 作者: Tian, Baoqing; Kong, Yanlong; Gong, Yulie; Ye, Cantao; Pang, Zhonghe \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2020/10/29 Accuracy of assessment Volumetric method Geophysical data Shallow geothermal potential Grid method Unconsolidated layer
	An improved volumetric method of geothermal resources assessment for shallow ground combining geophysical data 期刊论文 OAI收割 RENEWABLE ENERGY, 2020, 卷号: 145, 页码: 2306-2315 作者: Tian, Baoqing; Kong, Yanlong; Gong, Yulie; Ye, Cantao; Pang, Zhonghe \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/05/19 Accuracy of assessment Volumetric method Geophysical data Shallow geothermal potential Grid method Unconsolidated layer
	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：138/0 \| 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.
	Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis SCI/SSCI论文 OAI收割 2012 作者: Ge Y. 收藏 \| 浏览/下载：31/0 \| 提交时间：2014/12/25 quality assessment of training data rough set measures correlation analysis accuracy assessment land-cover scale map