[an error occurred while processing this directive] Global Geology 2022, 25(1) 49-59 DOI:     ISSN: 1673-9736 CN: 22-1371/P

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Article by Wang M
Article by Zhou Y
Article by Li M
Article by Ji XALZ
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Literature analysis of Dendrolimus disasters based on remote sensing monitoring
WANG Mingchang, ZHOU Yuyang, LI Mingjie, JI Xue and LIU Ziwei
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130061, China
Abstract: bstract: Due to global climate change, Dendrolimus pests and diseases seriously threaten the protection of forestry plants and the safety of crops all over the world. This paper aims to discuss the research results and frontier progress of Dendrolimus disasters based on remote sensing monitoring, trying to find the occurrence characteristics of pests. In this paper, bibliometric methods and CiteSpace knowledge graphs were used to analyze the publication trend, highly cited documents, key research institutions, and high-frequency keywords of the extracted documents in the Web of Science (WOS) database. The following conclusions are drawn: (1) The amount of research in WOS is on the rise, but it has declined in recent years. The countries with strong influence in national cooperation are mainly the United States and China. (2) The United States Department of Agriculture-Agricultural Research Service (USDA ARS) and the Chinese Academy of Sciences have published a lot. This paper reviewed the research progress of high-frequency institutions. (3) The key research topics focus on remote sensing, agriculture, and environmental sciences. Besides, the research hotspots include remote sensing monitoring, climate change, spectral reflectance, vegetation index, and precision agriculture. Finally, we put forward the current challenges and development trends of remote sensing pest monitoring. This paper can provide a reference for the research on remote sensing monitoring of Dendrolimus disasters in the future.
Keywords: remote sensing   Dendrolimus disasters   CiteSpace   knowledge graph   pest warning   vegetation  
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