This Special Issue of the journal Earth Sciences entitled “Research on Knowledge Graph in the Field of Remote Sensing and Surveying and Mapping” will focus on all aspects of research and development related to this area. With the development and improvement of modern surveying and remote-sensing technology, data in the fields of surveying and remote sensing have grown rapidly. Due to the characteristics of large-scale, heterogeneous and diverse surveys and the loose organization of surveying and remote-sensing data, effectively obtaining information and knowledge from data can be difficult. The knowledge graph is to describe the semantics of the text and establish a knowledge database of entity relationships in the natural world. The knowledge graph is particularly suitable as the central connection point for all heterogeneous data. It can arbitrarily connect and index data of various structures, and can record the change status of all data sources through versions. The most obvious is that the knowledge graph can provide accurate reasoning and visualization functions for knowledge. Researchers can use this function to discover various knowledge and laws hidden in the development process, and provide scientific research directions and decision-making basis for relevant scientific researchers and scientific research decision-makers. The research value of knowledge graph is huge. The purpose of this special issue is to promote the research of knowledge graphs by interested parties and promote the development of knowledge graphs in the field of surveying, mapping and remote sensing. The topics of interest to this special issue are: The construction of knowledge graph in the field of remote sensing and surveying and mapping; A breakthrough problem in the process of constructing a knowledge graph; Application of knowledge graph. The article types accepted by this special issue are Article and Review. If you are interested in this special issue, we welcome you to contribute.