Development process and prospect of sustainable development research supported by earth observation based on bibliometric analysis

doi:10.3969/j.issn.1004-9479.2024.01.20220327

Abstract

Abstract:

In the past few decades, earth observation has experienced rapid development, which provides necessary theoretical knowledge, research means and methods for global sustainable development. By searching the Web of Science core collection database and using CiteSpace, a knowledge map tool, this study conducted a bibliometric analysis of sustainable development research based on earth observation from 1991 to 2021. This study analyzed the research progress based on the literature output trends, publishing regions and cooperation network, high-frequency terms and terms with the strongest citation bursts, and proposed future research directions. The results show that: ①The number of articles published in the field of "earth observation technology and sustainable development" is generally on the rise, which can be divided into germination stage, growth stage and rapid development stage.②There is close international cooperation in the study of earth observation technology and sustainable development, among which, United States and Germany are in a leading position in terms of the number and influence of published paper. These countries are rich in scientific research. China and other developing countries have a dominant position in the number of publications, but their international influence still needs to be improved.③At present, research focuses on the environmental protection related contents such as land use/land cover change, climate change, natural resources and water resources. In recent years, the research field has been constantly integrating artificial intelligence, mathematical statistics and other emerging methods, and the research content tends to be diversified. In the future research, it is necessary to fully achieve the supporting role of earth observation technology and contribute to the achievement of the Sustainable Development Goals through a Decade of Action, and to deepen the study of earth observation data and facilitate data sharing in order to open up a new path for wide application. The combination of earth observation data with traditional statistical data should be strengthened to achieve the fully functioning of the potential of earth observation in SDGs monitoring. We can focus on international cooperation and take global action. These can help us to provide effective strategic and decision reference for the realization of the Sustainable Development Goals.

Key words: earth observation, sustainable development, bibliometric, data, remote sensing

摘要：

对地观测技术近年来快速发展，逐渐成为全球可持续发展研究的必要手段和方法。基于Web of Science核心合集数据库和CiteSpace软件，围绕“对地观测技术与可持续发展”领域论文进行文献计量分析，探讨了1991—2021年相关研究的发展阶段、发文地区与合作网络、研究热点，并提出未来研究中有待加强的方向。研究结果表明：①1991—2021年间，“对地观测技术与可持续发展”领域的发文量呈上升趋势，可分为萌芽阶段、增长阶段和快速发展阶段；②“对地观测技术与可持续发展”研究的国际合作较为密切，其中，以美国、德国为代表的国家在发文数量和影响力上均处于领先地位，中国等发展中国家发文量占优势地位，但国际影响力仍有待提高；③“对地观测技术与可持续发展”的当前研究热点主要集中在对地观测技术支撑土地利用/土地覆被变化、气候变化、自然资源、水资源等环境保护相关内容，研究领域在技术方法上不断融合人工智能、数理统计等新兴手段。在未来的研究中，应持续加强对地观测技术的支撑作用，推动开展全球行动，规范数据共享机制等，以期为可持续发展目标的实现提供有效的决策参考。

关键词: 对地观测, 可持续发展, 文献计量, 数据, 遥感

Wenzhu TU, Wenwu ZHAO, Caichun YIN, Jingyi DING. Development process and prospect of sustainable development research supported by earth observation based on bibliometric analysis[J]. World Regional Studies, 2024, 33(1): 149-162.

屠文竹, 赵文武, 尹彩春, 丁婧祎. 基于文献计量的对地观测技术支撑可持续发展研究进展与展望[J]. 世界地理研究, 2024, 33(1): 149-162.

Figures/Tables 6

References 66

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高频主题词	频次	中心度	高频主题词	频次	中心度
地理信息系统	1 805	0.11	空间分析	227	0.02
可持续发展（sustainable development）	1 544	0.02	发展中国家（developing countries）	206	0.07
土地利用/土地覆被变化	739	0.04	土壤侵蚀（soil erosion）	200	0.01
遥感	643	0.04	城市规划	192	0.01
可持续管理	522	0.03	空间格局（spatial pattern）	190	0.04
城市地区	436	0.02	总面积（total area）	162	0.03
空间分布（spatial distribution）	432	0.04	水质（water quality）	157	0.02
气候变化	419	0.03	环境可持续性	152	0.02
人类活动	374	0.05	经济发展	152	0.02
决策	333	0.03	城市发展	145	0.01
自然资源	327	0.04	农业用地	144	0.02
水资源	314	0.04	对地观测（earth observation）	143	0.02
城区扩张	259	0.02	决策支持系统	140	0.06
生态系统服务	257	0.02	主要目标（main objective）	137	0.02
卫星影像（satellite image）	230	0.04	沿海地区	135	0.02

高频主题词	频次	中心度	高频主题词	频次	中心度
地理信息系统	1 805	0.11	空间分析	227	0.02
可持续发展（sustainable development）	1 544	0.02	发展中国家（developing countries）	206	0.07
土地利用/土地覆被变化	739	0.04	土壤侵蚀（soil erosion）	200	0.01
遥感	643	0.04	城市规划	192	0.01
可持续管理	522	0.03	空间格局（spatial pattern）	190	0.04
城市地区	436	0.02	总面积（total area）	162	0.03
空间分布（spatial distribution）	432	0.04	水质（water quality）	157	0.02
气候变化	419	0.03	环境可持续性	152	0.02
人类活动	374	0.05	经济发展	152	0.02
决策	333	0.03	城市发展	145	0.01
自然资源	327	0.04	农业用地	144	0.02
水资源	314	0.04	对地观测（earth observation）	143	0.02
城区扩张	259	0.02	决策支持系统	140	0.06
生态系统服务	257	0.02	主要目标（main objective）	137	0.02
卫星影像（satellite image）	230	0.04	沿海地区	135	0.02

突现时段	强度	主题词	突现时段	强度	主题词
1995—2004	22.48	地理信息系统	2016—2018	7.74	文化遗产
1997—2007	21.26	决策支持系统	2017—2019	7.83	摄氏度（degree centigrade）
1997—2008	8.88	野外试验（field experiment）	2017—2021	10.22	分类精度（classification accuracy）
1998—2005	9.14	环境管理（environmental management）	2018—2021	31.03	可持续发展目标
1998—2006	11.96	自然资源		10.06	土地利用/土地覆被变化
2002—2007	17.88	可持续发展		9.71	驱动因素（driving factor）
2002—2009	14.86	卫星影像		9.37	支持向量机
2005—2011	8.53	海岸带（coastal zone）		8.84	神经网络
2005—2015	8.04	风险评估（risk assessment）		8.73	可持续城市（sustainable cities）
2007—2011	7.98	土壤性质（soil property）	2019—2021	13.85	归一化差异植被指数（NDVI）
2011—2013	8.01	变化检测（change detection）		13.55	随机森林
2015—2016	10.49	可持续方式		9.82	重要意义（great significance）
2015—2016	8.41	主要来源（main source）		8.21	影响因素（influencing factor）
2015—2018	11.83	适生立地		7.79	机器学习
2016—2018	8.00	多准则分析		7.78	稻田（paddy field）

突现时段	强度	主题词	突现时段	强度	主题词
1995—2004	22.48	地理信息系统	2016—2018	7.74	文化遗产
1997—2007	21.26	决策支持系统	2017—2019	7.83	摄氏度（degree centigrade）
1997—2008	8.88	野外试验（field experiment）	2017—2021	10.22	分类精度（classification accuracy）
1998—2005	9.14	环境管理（environmental management）	2018—2021	31.03	可持续发展目标
1998—2006	11.96	自然资源		10.06	土地利用/土地覆被变化
2002—2007	17.88	可持续发展		9.71	驱动因素（driving factor）
2002—2009	14.86	卫星影像		9.37	支持向量机
2005—2011	8.53	海岸带（coastal zone）		8.84	神经网络
2005—2015	8.04	风险评估（risk assessment）		8.73	可持续城市（sustainable cities）
2007—2011	7.98	土壤性质（soil property）	2019—2021	13.85	归一化差异植被指数（NDVI）
2011—2013	8.01	变化检测（change detection）		13.55	随机森林
2015—2016	10.49	可持续方式		9.82	重要意义（great significance）
2015—2016	8.41	主要来源（main source）		8.21	影响因素（influencing factor）
2015—2018	11.83	适生立地		7.79	机器学习
2016—2018	8.00	多准则分析		7.78	稻田（paddy field）

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