The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Feb 2020)

DESIGN OF COOPERATIVE UPDATE MECHANISM OF NATIONAL RESOURCES INVESTIGATION AND BASIC SURVEYING AND MAPPING

  • C. Li,
  • F. J. Luo,
  • K. Yang,
  • R. G. Guo

DOI
https://doi.org/10.5194/isprs-archives-XLII-3-W10-1265-2020
Journal volume & issue
Vol. XLII-3-W10
pp. 1265 – 1269

Abstract

Read online

National resources investigation and basic surveying and mapping are two important tasks of the surveying and mapping department, and they are similar in production organization and technology realization. In the process of operation, both of them need to carry out internal collection, base map production, field verification and so on. It is operationally feasible to carry out cooperative production of national resources investigation and basic surveying and mapping. From the perspective of technical process and method, both of them are carried out by combination internal and field work. Firstly, based on remote sensing images and thematic geographic data, the internal work will perform image interpretation. Then, the field verification will be carried out to make judgments and adjustments. Finally, the results of the field verification will be transferred back to the internal work, and the data will be further edited and organized in the internal work to obtain the final data.This paper analyzes the technical methods and workflow of the cooperative update mechanism of national resources investigation and basic surveying and mapping. It will enable one-time acquisition of data needed for the national resources investigation and basic surveying and mapping. It is conducive to unifying the classification system, technical standards, survey methods, establishing a natural resource data service system, and improving the natural resource data sharing working mechanism. Realize the overall control of the land space, solve the contradictory problems such as multiple doors, uneven thickness, repeated crossover, etc., advance data integration and deep development and utilization by using big data technology and data analysis model.