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At present, the development of the geographic information industry is facing severe challenges of transformation and upgrading and great development opportunities. The rapid development of emerging information technologies such as "Internet + ”, big data, cloud computing, and artificial intelligence has provided strong support for the transformation and upgrading of the geographic information industry. In this paper, a series of issues must be seriously considered, such as the background. goal. ways, driving forces of transformation and upgrading. For the background of the transformation and upgrading of the geographic information industry, this paper proposes the space-time view of big data and the theory of space-time big data based on the understanding of the geographic information industry and big data. For the goal of the transformation and upgrading in geographic information industry, the theory of space-time big data platform and the model of "General Space-Time Big Data Platform+” are proposed, which will become a transformation and upgrading version of the geographic information industry. For the ways of the transformation and upgrading of the geographic information industry, the technical system and technical methods for constructing the space-time big data platform are proposed. Beginning with the basic research, the way of the industrialization of space-lime big data is discussed, which constructs a space-time big data product system consisting of hardware prod ucls. software products, software and hardware integration products and various types of data prod ucts. For the driving force of the transformation and upgrading of the geographic information industry. artificial intelligence technology will become the core driving force for the transformation and upgrading of the geographic information industry. The role of algorithms, data and computing power of artificial intelligence in the industrialization of space-time big data and the relationship between the three are also discussed. [ABSTRACT FROM AUTHOR]

Speed is key to prevent and control major public health emergencies. For an efficient management, time, data, information, and resources are important factors. This paper summarizes the challenges in China’s response to the coronavirus disease 2019 （COVID-19）， and proposes an integration of vertical system and horizontal system, based on the idea of“let data run more, rely on accurate information, and outperform viruses with electromagnetic waves ”. Through all the analyses, we provide suggestions on improving China’s digital public health emergency management system for scientific and technological strategies, and they include: (1) establishing a standardized data epidemic information collection system to dynamically sense public sentiment; (2) building a public health big data center with a unified spatiotemporal benchmark to achieve cross regional and cross industry data aggregation, fusion, and sharing; (3) strengthening artificial intelligence technology for epidemic monitoring, forecasting, and risk research, and improving management accuracy and screening efficiency; (4) developing situation deduction and optimizing regulatory computing technology and services scientific dispatch and emergency command; (5) improving operating system mechanisms to ensure normal, safe and stable operations. [ABSTRACT FROM AUTHOR]

Artificial intelligence(AI) will affect various fields and professions. Geoinformatics and remote sensing are closed the field of artificial intelligence. Our discipline will have a good development chance, also face a big challenge. This paper firstly introduces the domain of AI and the fields related geoinformatics and remote sensing, then presents the progresses of photogrammetry and remote sen-sing applications based on computing vision and machine learning. Finally, some research progresses involved perceive and reasoning based on space-time big data have revealed the application prospect in sensing, perceive and reasoning for the nature and society based on space-time data from geoinforma-tics and remote sensing. A desire is to push the quick development of geoinformatics and remote sen-sing in AI era. [ABSTRACT FROM AUTHOR]