基于CiteSpace的土壤质量遥感研究文献计量分析

Bibliometric Analysis of Soil Quality Remote Sensing Literature Based on CiteSpace

  • 摘要: 为了解当前土壤质量遥感研究前沿和进展,采用文献计量学方法探究近20年该领域研究现状和热点。利用CiteSpace文献计量软件,分析Web of Science 核心合集数据库中2002 ~ 2021年土壤质量遥感研究领域的1240篇有效文献,以“soil quality、Remote sensing、RS”为主题词,从发文量时间、发文国家、发文机构、关键词突现、关键词聚类分析及文献共被引聚类等角度可视化分析。结果表明:2017 ~ 2021年土壤质量遥感研究文献发文量快速增长;发文量最多的国家是美国、中国、德国、荷兰、印度;研究方向主要有生态环境学科、遥感、地质学、成像学和照相技术、农业、水资源。通过分析关键词(共现密度、突现、共被引)图谱可推断未来土壤质量遥感研究热点包括:全球土壤水分动态数据集将成为监测土壤质量的重要数据来源;研究土壤侵蚀、盐渍化、有机碳等监测土壤退化程度;遥感与传感技术、地理信息系统的交叉融合。未来土壤质量遥感研究将更注重与多学科交融合作,进一步向全球尺度、高精度方向扩展。

     

    Abstract: Soil quality monitoring and evaluation are critical for promoting long-term agricultural success. A bibliometric approach was utilized to study the current status and hot areas of research in this subject over the last 20 years in order to understand the current frontier and advancement of remote sensing research on soil quality. The CiteSpace bibliometric software was used to analyze 1240 valid papers in the field of remote sensing of soil quality from 2002 to 2021 in the Web of Science core collection database, using the theme words “soil quality, remote sensing, RS” as well as visualize and analyze them from the perspectives of publication volume time, publication country, publication institution, keyword emergence, keyword clustering analysis, and co-citation clustering. The results indicated that between 2017 and 2021, the number of articles published on soil quality remote sensing research literature is rapidly increasing. The countries with the most articles are the United States, China, Germany, the Netherlands, and India. The main research directions are ecological and environmental disciplines, remote sensing, geology, imaging, and photographic techniques, agriculture, and water resources. By analyzing the keyword (co-occurrence density, outburst,co-citation) mapping, it could be inferred that the future hot spots of remote sensing research on soil quality including the global soil moisture dataset will become an important data source for monitoring soil quality. Researches on soil erosion, salinization, organic carbon, etc. will monitor the degree of soil degradation with cross-fertilization of remote sensing, sensing technology and GIS. Future soil quality remote sensing research will place a greater emphasis on interdisciplinary collaboration and will grow to a global scale with high accuracy.

     

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