Theoretical Framework Construction and Application Practice of the Geographic Spatiotemporal Digital Base
With high quality development becoming the primary task of comprehensively building a socialist modernized country,the importance of geographic spatiotemporal information in supporting national and local socio-economic development has been raised to new heights.Based on the urgent need for high-quality development to empower geographic spatiotemporal information,this paper first comprehensively reviews the theoretical and methodological research status of geographic spatiotemporal expression and computation from the perspectives of complex land surface system expression,spatiotemporal uncertainty analysis,and geographic spatial intelligent computing.It is pointed out that there is an urgent need to update concepts,integrate across borders,and innovate technologies to improve the production level of spatiotemporal information products and assist in the high-quality transformation and development of social and economic activities in the three living spaces.Furthermore,driven by the problems of deconstructing complex land surface and analyzing precise parameters,we propose relevant theoretical thinking and research ideas of geographic spatiotemporal digital base(GST-DB)with an overview of basic concepts and technical points.The GST-DB is based on the uniqueness and distribution of time and space,and is proposed by three basic elements around brackets,containers,and engines.The paper focuses on analyzing three key scientific issues,including multiple representations and knowledge association for complex land surface systems,uncertainty analysis of spectral feature reconstruction under spatial form constraints,signal transmission and optimized control with the collaboration of satellite,ground,and human.The three key objectives,namely deconstruction of global space,analyticity of local space,and transferability between spaces,cut into the process of connecting the two-step process of spatial expression and parameter calculation,and further explain the difficulties and feasible solution paths of reliable expression,reliable analysis,and controllable computing.Through the analysis of the solution approach,the feasibility and necessity of the organic synergy of geoscientific analysis ideas,remote sensing mechanism knowledge,and machine intelligence algorithms are demonstrated.On this basis,this paper focuses on the monitoring and supervision of agricultural production as a demand-oriented problem for introducing agricultural application cases of GST-DB.Four types of application models for people,land,money,and things are preliminarily described.By demonstrating the construction process and implementation effectiveness of integrated intelligent computing,the advantages and basic supporting role of the base in carrying and utilizing spatiotemporal data elements are highlighted.This case study demonstrates the potential to provide high-quality spatiotemporal information services for the development of modern agriculture in complex mountain areas.
high quality developmentspatiotemporal informationcomplex land surface systemsgeographic spatiotemporal digital basereliable expressiontrustworthy analysiscontrollable calculationapplication of digital agriculture
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