以Web of Knowledge中2006年~2015年的972篇草地遥感相关文献作为数据源,运用CitespaceⅢ软件从关键词共现网络、文献共被引网络及突现分析等角度展开信息可视化分析。结果表明:草地遥感研究的发文量逐年递增,期刊刊文量前三名为International Journal of Remote Sensing、Remote Sensing of Environment和Remote Sensing,主要研究学科领域为环境科学、生态学和遥感等,刊文数量前三名的国家为美国、中国和德国。草地遥感关键词共现图谱显示,MODIS、植被指数、气候变化、土地利用变化、生物量等为起连接作用的核心关键词;中国草原、非洲草原、加拿大草原和澳大利亚草原是热点研究区域。从共被引文献聚类图谱可知,研究的知识基础聚类主要包括:生物量、灾害风险评价、LAI反演、草地退化等。近十年高突变的文献分析表明,当前研究应因地制宜的选择遥感数据源,加强产品算法和模型的改进,不断提高遥感应用的精度。
英文摘要:
Based on 972 papers from the data source of ISI Web of Knowledge, an effective bibliometrological analysis was carried out by Citespace III to provide insights into research information on grassland from 2006 to 2015.The results showed that the quantity of studies on grassland remote sensing increased year by year. International Journal of Remote Sensing, Remote Sensing of Environment and Remote Sensing are the top three journals. Environmental science and ecology, remote sensing, environmental science are main research disciplines of the journals. For the number of published paper, the United States, China and Germany were the top three countries. According to the knowledge mapping of keyword, MODIS, vegetation index, climate change, NDVI, land use change, biomass acted as central keywords. The cluster mapping knowledge of Cited Reference showed that the knowledge based on clustering research mainly includes: biomass, fire risk assessment, LAI inversion and the grassland degradation. Finally, the high appearance papers during the past ten years suggested that it is important to choose the source of remote sensing data according to local conditions and improve the corresponding simulation model to improve the accuracy of the application of remote sensing.