中国科学院机构知识库网格系统: 检索

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	Evaluating Sustainable Development in the Middle and Lower Reaches of the Yellow River Basin Using Multiple Data Sources 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4400518 作者: Lu, Yuefeng; Li, Jing; Song, Zhenqi; Lu, Miao \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2025/02/24 Rivers Indexes Sustainable development Socioeconomics Remote sensing Water resources Urban areas Soil Biological system modeling Surface treatment Ecological environment influencing factors middle and lower reaches of the Yellow River Basin social economy sustainable development
	Methane Emissions from Unique Wetlands in China: Case Studies, Meta Analyses and Modelling 专著 OAI收割 2015 作者: Huai Chen; Ning Wu; Yanfen Wang 收藏 \| 浏览/下载：39/0 \| 提交时间：2016/12/21 Ecosystems Global Change Biology Remote Sensing of Environment Agricultural Forest Meteorology Ecological Modelling
	A Simple Enhanced Water Index (EWI) for Percent Surface Water Estimation Using Landsat Data 期刊论文 OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 期号: 1, 页码: 96-105 作者: Wang, Shudong; Baig, Muhammad Hasan Ali; Zhang, Lifu; Jiang, Hailiang; Ji, Yuhe 收藏 \| 浏览/下载：38/0 \| 提交时间：2016/04/20 Enhanced Water Index (EWI) Modified Normalized Difference Water Index (MNDWI) percent surface water estimation remote sensing of environment
	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.
	Design and analysis of auto-focus assembly for spaceborne remote sensing camera (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electronics, Communications and Control, ICECC 2011, September 9, 2011 - September 11, 2011, Ningbo, China 作者: Chen W.; Gao X. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Spaceborne remote sensing camera may be out of focus when the environment and photographic distance changes. In order to get higher ground sampled distance for the camera based on the experience gained from the development of a remote sensing camera working principle of auto-focus assembly control system was discussed. Time of waveform extraction was reduced. It sets force an auto-focus assembly that uses cam and line guide rail in order to move the lens group. The motion error of the auto-focus assembly was difficult to be eliminated and would affect on the focusing accuracy of the spaceborne remote sensing camera directly. So it was analyzed at both ends of the focusing structure. The CCD detector can keep stable when the remote sensing camera is imaging. The motion error was tested to verify the validity of the simulation result and it is less than 0.01mm. Its accuracy meets using demand. The focusing method of moving focal plane is suitable for spaceborne remote sensing camera. 2011 IEEE.
	绿色GDP核算体系研究与案例分析学位论文 OAI收割博士, 北京: 中国科学院研究生院, 2006 孙轶收藏 \| 浏览/下载：91/0 \| 提交时间：2010/06/18 绿色GDP核算生态资产环境污染损失价值不可再生资源损耗价值遥感 Green GDP calculation Ecological Capital The loss alue of environment pollution Consumption of unrenewable resources Remote sensing