Showing papers on "Topographic map (neuroanatomy) published in 2023"
TL;DR: In this article , a bathymetric survey was done to obtain depth data of the Opak River, while photogrammetry technology was conducted to produce a digital image map of the river.
Abstract: Opak river is one of the rivers that flow through Yogyakarta Province, especially Sleman and Bantul Districts. One of the villages crossed by this river in Bantul district is Sumberagung village. The village government plans to utilize the Opak river in their administrative area as a tourist location to grow the town as a tourist village. One of the initial efforts in planning is to collect as much data about the river and its surroundings, that is, river depth and the planimetric map around the area. Therefore, a bathymetric survey was done to obtain depth data of the Opak River, while photogrammetry technology was conducted to produce a digital image map of the river. The river depth data was acquired using Unmanned Surface Vehicle (USV) and geodetic GPS instrument as its positioning, while the photogrammetric measurement was conducted using UAV (Unmanned Aerial Vehicle). As a result, the bathymetric map shows the river depth range from 2 to 6 meters from the water level. The standard deviation value is ± 0.51 meters, and TVU (Total Vertical Uncertainty) falls into the 1a or 1b order depth accuracy category based on the IHO 5th Edition, Special Publication No.44 2008. The photogrammetric map shows the RMSEr value is 7.5 cm and the CE90 (Circular Error) is 0.113, which suits Class 1 for 1:1000 base map based on the Regulation of Geospatial Information Agency of Indonesia regarding base map accuracy. In addition, the LE90 (Linear Error) passes Class 3 for 1:5000 base map.
01 Mar 2023
TL;DR: Wang et al. as mentioned in this paper proposed an automatic derivation method for the creation of complex map symbols in a topographic map using new geographic entity data under the background of Chinese new fundamental surveying and mapping situation.
Abstract: The topographic map plays a very important role in economic construction. In the process of drawing topographic maps, different symbols represent different ground objects, but the symbols representing complex ground objects are often complicated and difficult to create. Moreover, the creation process of complex map symbols can seriously affect the efficiency of topographic map production. Therefore, this paper proposes an automatic derivation method for creation of complex map symbols in a topographic map. The data used are new geographic entity data under the background of Chinese new fundamental surveying and mapping situation. Firstly, four derivation modes of complex map symbols are summarized, including feature-point mode, centroid mode, feature-line mode, and parallel-line mode; then, using the four modes singly or in combination, the complex map symbols of the topographic map are directly derived from the geographic entity data based on programming, and the topographic map cartographic result is obtained automatically. Finally, some topographic maps for Shanxi Province, China, is used for the validation of the creation of map symbols. The experimental results show that the proposed method can automatically derive the complex map symbols of the topographic map, greatly improving production efficiency and obtaining a good visualization effect. The proposed method is a new approach for a new situation and realizes the transformation and upgrading of fundamental surveying and mapping achievements.
TL;DR: In this article , the ArcScan vectorization tool was used to extract line symbols of paved roads from the 1:25 000 topographic maps and then translated into a vector form suitable for further use.
Abstract: : The previous practice has shown that older editions of topographic maps of the Military Geographical Institute can be used as a reliable source of data in the process of creating digital topographic maps at a scale of 1:25 000. Since vectorization of the topographic data for the complete scale series of topographic maps has not been done, these maps are used exclusively in the form of raster services as a supplement to primary cartographic sources. Therefore, the large amount of data on these topographic maps can provide insight into how some phenomena moved and developed over time, but remained in raster form unsuitable for processing, analysis, and comparison with vector data obtained from primary cartographic sources and depicting the real character of some occurrences. The paper shows the process by which, using the Python programming language in combination with the ArcScan vectorization tool, line symbols of paved roads are extracted from the 1:25 000 topographic maps and then translated into a vector form suitable for further use. The data obtained in this way become available for multiple applications with a great saving of time, considering that the process is completely automated. A proposal for using the results through a comparison of the higher-order road network between the situation in 1969 and the situation in 2022 is given.
01 Jun 2023
TL;DR: Wang et al. as mentioned in this paper adopted two types of UAVs, fixed-wing and multi-rotor, to take aerial photography of the planned survey area according to the oblique and ortho ways, and summarized the process of image data collection, image data processing, model accuracy verification, digital line drawing production and accuracy verification.
Abstract: UAV remote sensing technology is more and more used in topographic map mapping because of its efficient and flexible operation mode, and most of the current remote sensing UAV mapping adopts a single or the same type of UAV joint operation. Taking the Gongqing City Topographic Map Planning Project of Jiangxi Province as an example, this paper adopts two types of UAVs, fixed-wing and multi-rotor, to take aerial photography of the planned survey area according to the oblique and ortho ways, and summarizes the process of image data collection, image data processing, model accuracy verification, digital line drawing production and accuracy verification, and verifies that the image data obtained by fixed-wing and multi-rotor joint remote sensing mapping fully meets the requirements of 1:500 topographic map mapping through accuracy comparison. It shows that UAV remote sensing technology can be applied to the production of large-scale topographic maps.
TL;DR: Wang et al. as mentioned in this paper used remote sensing images from 1991, 2004, and 2017, as well as the digital elevation model (DEM) data, and computed a topographic classification system consisting of four levels (Low level, Low-medium level, Medium-high level, High level).
TL;DR: In this article , the authors discuss the solution of various metric and positional problems in the field of descriptive geometry and topographic drawing, improving the graphic literacy of students, knowledge, methods of applying the theoretical laws of topographical drawing.
Abstract: This article discusses the solution of various metric and positional problems in the field of descriptive geometry and topographic drawing, improving the graphic literacy of students, knowledge, methods of applying the theoretical laws of topographic drawing. Knowledge of the theoretical rules and regulations of topographic drawing helps students gain deeper knowledge in the field of topographic drawing.