机构

• 地理科学与资源研究所 [3]
• 长春光学精密机械与物... [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [2]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2021 [2]
• 2016 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12 作者:     |  收藏  |  浏览/下载：51/0  |  提交时间：2021/11/05 Crop yield forecast  Climate extremes  Remote sensing  Random forest  Lead time  Variable importance   Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2021, 卷号: 308, 页码: 12 作者:  Li, Linchao;  Wang, Bin;  Feng, Puyu;  Wang, Huanhuan;  He, Qinsi   |  收藏  |  浏览/下载：24/0  |  提交时间：2021/11/05 Crop yield forecast  Climate extremes  Remote sensing  Random forest  Lead time  Variable importance   Simulating low and high streamflow driven by snowmelt in an insufficiently gauged alpine basin SCI/SSCI论文  OAI收割 2016 作者:  Zhang F. Y.;  Ahmad, S.;  Zhang, H. Q.;  Zhao, X.;  Feng, X. W. 收藏  |  浏览/下载：45/0  |  提交时间：2016/12/16 Streamflow  Cumulative temperature  Snowmelt  Infiltration  Kaidu River  basin  System dynamics  surface backscatter response  trmm precipitation radar  forecast lead  time  climate-change  united-states  river-basin  modeling approach  water-resources  soil-moisture  tarim river   Space camera focusing forecast based on RBF network (EI CONFERENCE) 会议论文  OAI收割 Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings, Tiergartenstrasse 17, Heidelberg, D-69121, Germany 作者:  Liu J.;  Yu D.;  Yu D.;  Liu J.;  Liu J. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 As circumstance temperature of space camera changes  flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network is used to approximate the complex nonlinear relation between focalization quantity  image quality  temperature level and axial temperature difference of space camera. After the RBF Network is trained with thermo-optical experiment data  temperature level and axial temperature difference could be input to the network to obtain colder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method. 2009 Springer-Verlag Berlin Heidelberg.