Abstract. With the rapid development of earth observation technology, the remote sensing data gradually becomes the significant data resources for spatiotemporal data analysis. However, to realize the efficient management and quick real-time service of the multi-source, multi-scale and multi-spectral is the key problem for the data management units. This paper brings up a novel technology system and resolution for online and real-time service of the massive remote sensing images by innovatively developing a data management model based on an extensible discrete global grid, inventing the grid-based search and dispatch method for remote sensing big data, firstly building a parameter-driven dynamic map service mode for multi -source, multi-scale and multi-spectral remote sensing big data. This method has greatly improved the efficiency for data management units, such as the Chinese government, corporations etc. and has produced a lot of social and economic benefits.

Abstract. Accurate road network information is the foundation of urban construction, traffic planning and emergency response, and also provides necessary assistance for public travel. How to provide global road network data products with complete elements, rich attributes, and high precision is a problem that must be considered in the reserve of basic geographic information resources.This paper studies the geometric information fusion of multi-source data based on OSM road network data, mainly carries out relevant research work on the identification and matching of homonymous entities, and proposes a method based on traceability mechanism to solve the problem of inconsistent geographical location in different data sets after topology preprocessing of homonymous features, so as to improve the integrity and accuracy of road network data after fusion.This paper proposes a method based on traceability mechanism, and explores a technical processing flow of global road network data fusion. The test process greatly improves the matching effect of entities with the same name in different data sets, greatly ensures the original topology relationship, and improves the integrity and accuracy of the fused road network data. The data test result shows that this method has certain application value and can basically meet the actual needs of multi-source road network data fusion from a global perspective.

Abstract. With the development of National Platform for Geospatial Information Services in China, it accumulated massive image data with multi-source, multi-temporal and multi-scale. Displaying and taking full use of these historical data can be meaningful to the users. This paper provided design and implementation of multi-temporal image service system based on national platform, which meets the requirements of different users. In this paper, the design of the overall system architecture was introduced, and different system levels stated respectively. The Key technologies presented in the third part, and the implementation displayed parts of functions of this system. Applications, that is typical, recommended in the following part. Also, future efforts and discussions were put forward in the end, which could be guided following work. The research also looks forward to the development of national platform, and the direction of services that should be provided by multi-temporal image service is already under development.

Abstract. China is a disaster prone country. In recent years, the national functional departments have been committed to the construction of emergency surveying and mapping support capacity. However, the data owned by government departments are often systematic, accurate and authoritative, but the real-time is not enough. The improvement of data update efficiency requires a lot of resources. The main body of emergency management is also mainly government departments, which lacks public participation and interaction. The application of volunteer geographic information in China's emergency management has not yet formed a scale. This article will mainly studies the mechanism of volunteer information in emergency management, the multi-source emergency geographic information collaborative service mode with volunteer participation, and take specific engineering practices as an example to introduce the national Geographic Information Public Service Platform for Disaster Emergency, and try to solve the problems about real-time disaster site information acquisition, multi-source information online integration and collaborative services, and rapid customization and release of user-oriented emergency topics in multiple emergency scenarios Issues.

Abstract. Different satellite images have different positioning accuracy. For example, stereo satellite images have higher positioning accuracy than resource survey satellite images. In addition, for a large number of non stereo satellite images, due to the inability to build a strong triangulation model, it is impossible to carry out block adjustment alone to improve the image positioning accuracy. High precision and high resolution Orthophoto Images are the basis of resource investigation and monitoring and basic geographic information updating. For example, China's third national land survey, national geographic situation monitoring and other national projects require that the survey base map must reach the accuracy of 1:10000 scale, that is, the mean square plane error of points is less than 5m. For most satellite images, a certain number of ground control points need to be deployed to achieve this accuracy. Due to the difficulty of obtaining high-precision ground control points and DEM data in difficult areas, high-precision mapping has always been an unsolved problem, such as Western China. In addition, due to the limited coverage of a single satellite image, to realize the complete coverage of an image in a large area requires the joint application of multiple satellite images. In this paper, the high-precision collaborative geometric processing model and technical method of high-resolution multi-source remote sensing satellite images are proposed. The high-precision collaborative geometric processing of more than ten kinds of high-resolution domestic satellite images is completed by integrating multi-source observation data. An automatic construction method of large-scale block adjustment model of remote sensing images from domestic satellites based on multivariate generalized control network is proposed, including key technologies such as automatic optimization of optimal tie points under different modes, automatic matching of multi-node parallelization tie points, multi-level gross error elimination and so on, which realizes the automatic and stable construction of aerial triangulation model. The test shows that the positioning accuracy of satellite images is better than the accuracy requirements of 1:10000 scale without ground control points, which solves the problem of geometric positioning of 1:10000 scale accuracy in areas where it is difficult to obtain ground control points in the field of Western China.