Abstract

The methods used in the process of updating maps have evolved and become more complex, especially upon the development of the digital technology. At the same time, the development of technology has led to an abundance of available data that can be used in the updating process. The data sources came in a great variety of forms and formats from different acquisition sensors. Satellite images provided by certain satellite missions are now available on space agencies portals. Images stored in archives of satellite missions such us Sentinel, Landsat and other can be downloaded free of charge.The main advantages are represented by the large coverage area and rather good spatial resolution that enables the use of these images for the map updating at an appropriate scale. In our study we focused our research of these images on 1: 50.000 scale map. DEM that are globally available could represent an appropriate input for watershed delineation and stream network generation, that can be used as support for hydrography thematic layer update. If, in addition to remote sensing aerial photogrametry and LiDAR data are ussed, the accuracy of data sources is enhanced. Ortophotoimages and Digital Terrain Models are the main products that can be used for feature extraction and update. On the other side, the use of georeferenced analogical basemaps represent a significant addition to the process. Concerning the thematic maps, the classic representation of the terrain by contour lines derived from DTM, remains the best method of surfacing the earth on a map, nevertheless the correlation with other layers such as Hidrography are mandatory. In the context of the current national coverage of the Digital Terrain Model, one of the main concerns of the National Center of Cartography, through the Cartography and Photogrammetry Department, is represented by the exploitation of the available data in order to update the layers of the Topographic Reference Map 1:5000, known as TOPRO5 and at the same time, through the generalization and additional data sources of the Romanian 1:50 000 scale map. This paper also investigates the general perspective of DTM automatic use derived products in the process of updating the topographic maps.

Highlights

  • 1.1 MotivationSince their emergence, topographic maps have had, as a main purpose, the achievement of the best terrain representation by conventional means of the planimetric details and the 3D topographic surface

  • The updating procedure that we are about to present is a response to the needs of the actual referenced topographic map, of the evolution and diversity of the data source that can be used to obtain or update the Hydrographic representation for the Topographic Maps as it may represent a freestanding theme

  • We considered using the above procedure to delineate the hydrography theme as a line feature class for 1:50.000 scale map

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Summary

Motivation

Topographic maps have had, as a main purpose, the achievement of the best terrain representation by conventional means of the planimetric details and the 3D topographic surface. This work is showing some aspects and a workflow for updating the Hydrographic theme of the Romanian Topographic Plan according to the 1:5.000 scale, named TopRo5 Achieving and updating this digital map is a law stipulated objective for the National Center of Cartography. The updating procedure that we are about to present is a response to the needs of the actual referenced topographic map, of the evolution and diversity of the data source that can be used to obtain or update the Hydrographic representation for the Topographic Maps as it may represent a freestanding theme It is a response for the needs of updating other themes that are directly influenced by the Hydrographic representation as a support, such as "relief" or the use of geospatial data from the TopRo5 project for other derived plans an maps, such as the digital Romanian Map for scale 1: 50.000.

Current status
Sources of error
Proposed approach
Remarks on the workflow
UPDATING THE HYDROLOGY USING COMBINED DATA SOURCE BLOCK
Findings
CONCLUSION
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