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遥感技术与应用  2014, Vol. 29 Issue (6): 1089-1094    DOI: 10.11873/j.issn.1004-0323.2014.6.1089
文献计量     
基于文献计量的水遥感研究发展态势
马瀚青1,2,3,高峰1,黄新宇1,王雪梅1,王金平1
(1.中国科学院兰州文献情报中心,甘肃 兰州730000;
2.中国科学院寒区旱区环境与工程研究所,甘肃 兰州730000;3.中国科学院大学,北京100049)
Development Trend of Water Remote Sensing Research based on Bibliometrics
Ma Hanqing1,2,3,Gao Feng1,Huang Xinyu1,Wang Xuemei1,Wang Jinping1
(1.Lanzhou Library of Chinese Academy of Sciences,Lanzhou 730000,China;
2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of
Sciences,Lanzhou 730000,China;3.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(1189 KB)  
摘要:

利用遥感技术观测和反演水文、水循环等的重要参数的水遥感研究,是国际地球科学研究的重大研究主题。科技文献能够反映科学研究的发展动态和热点变化,以 SCIE科学引文索引数据库为数据源,利用专业数据分析工具 TDA(Thomson Data Analyzer)和Ucinet工具,对1994~2013年水遥感研究相关论文进行了定量分析。结果表明:水遥感研究论文20年来持续增速显著;美国发射多颗观测卫星而在该领域居于主导优势,高被引论文主要为卫星介绍和水体指数文章;水遥感研究主要集中于土壤水分、蒸散发、水资源、冰雪等研究,MODIS数据为主要应用的卫星数据。

关键词: 水遥感SCIE数据库文献计量态势分析    
Abstract:

Taking ISI Web of Science(SCIE) database as source data,investigated the thesis on water remote sensing in the worldwild from 1994 to 2013 by using the TDA tool and the Ucinet.The results show that water remote sensing research has keep growing,especially notable in the past 10 years;the USA,that has launched many observation satellites,takes the dominant position in this field;highly cited articles are mainly for NDWI index and observation satellite`s introduction;Water remote sensing research mainly concentrated on the researches of soil moisture,evaporation ,water resource,snow,etc,and is mainly used for MODIS satellites data.

Key words: Water remote sensing research    SCIE database    Bibliometric    Situation analysis
收稿日期: 2014-09-21 出版日期: 2015-01-15
:  TP 79  
作者简介: 马瀚青(1985-),男,甘肃临夏人,博士研究生,主要从事遥感应用与科学分析研究。Email:mahq@llas.ac.cn。
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引用本文:

马瀚青,高峰,黄新宇,王雪梅,王金平. 基于文献计量的水遥感研究发展态势[J]. 遥感技术与应用, 2014, 29(6): 1089-1094.

Ma Hanqing,Gao Feng,Huang Xinyu,Wang Xuemei,Wang Jinping. Development Trend of Water Remote Sensing Research based on Bibliometrics. Remote Sensing Technology and Application, 2014, 29(6): 1089-1094.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.6.1089        http://www.rsta.ac.cn/CN/Y2014/V29/I6/1089

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