Analiza kakovosti podatkov na topografskih kartah

Govedarica, Miro; Borisov, M. B.

doi:10.15292/geodetski-vestnik.2011.04.713-725

Cited by 8 publications

(5 citation statements)

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“…Topography plays a crucial role in cartographic science, providing a quantitative assessment of the shape and landform of the surface relief, commonly depicted through contour lines. The digitalization of topographic maps is of great importance for the analysis of topographic numerical information (Govedarica and Borisov, 2011;Ruhoff et al, 2011).…”

Section: Topographic Numerical Information Analysismentioning

confidence: 99%

Flood hazard mapping and disaster prevention recommendations based on detailed topographical analysis in Khovd City, Western Mongolia

Serdyanjiv,

Yasuhiro,

Tomonori

et al. 2024

Preprint

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Abstract. The impacts of climate change manifest heterogeneously across regions, and in Khovd City, a semi-arid area in Western Mongolia, the escalating threat of flooding is evident through the occurrence of 10 flash floods in the last 30 years. The risk zone, encompassing rivers and flash floods, endangers ca. 32,000 residents, with 750–1,800 traditional nomadic dwellings (gers) located on the floodplain of the Buyant River during summer. There is a risk of flash floods in the eastern part of Khovd City from the mountains, while the western part is at a higher risk of flooding from the Buyant River. This paper aims at assessing flood hazards through a detailed topographical survey conducted using an Unmanned Aerial Vehicle (UAV). 15,206 aerial photos were collected in Khovd City using the UAV and measured by Real-Time Kinematic (RTK) on 22 Ground Control Points (GCPs). A Digital Elevation Model (DEM) with a resolution of 2.7 meters was generated from the aerial drone mapping data, enabling surface morphology, hydrological and eight-direction pour point model analysis using a Geographic Information System (GIS). The resulting flood hazard map revealed 4 flood risk areas based on flood flow direction and topographical features. Recommendations for local govern and residents include enhancing flood protection facilities for flood disaster prevention on flood risk zones.

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Section: Topographic Numerical Information Analysismentioning

confidence: 99%

Flood hazard mapping and disaster prevention recommendations based on detailed topographical analysis in Khovd City, Western Mongolia

Serdyanjiv,

Yasuhiro,

Tomonori

et al. 2024

Preprint

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“…Considering that settlements, especially single houses, are non-scale objects in the Russian imperium map, the aggregation of units was considered to be the correct method to establish a network of settlements for the period of 1846-1872. Difficulties in spatially locating settlements over time were also encountered due to the negligible sizes of such settlements compared to other land-use types [55].…”

Section: Determining the 19th Century Lulc Structurementioning

confidence: 99%

The Results of Digitizing Historical Maps: Comparison of Lithuanian Land-Use Structure in the 19th and 21st Centuries

Piškinaitė

Veteikis

2023

Land

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Studies of long-term land-use changes can reveal significant results about land use in the past and lead to the main causes of these changes being revealed. We georeferenced 27 selected sheets from 1846–1872 topographical maps of the Russian Empire, covering the territory of the modern Republic of Lithuania. The georeferencing was based on using ground control points. We discuss the overall insignificant errors obtained from joining the georeferenced sheets of this historical map. Manual digitizing (vectorizing) was preferred over automated means because of the specifications of the map. All the data were merged into five land-use categories: (1) forests; (2) wetlands; (3) built-up areas; (4) water bodies; and (5) other (mostly including arable land, grassland, and pastures). The reconstructed land-use structure of the 19th century was assessed for its compatibility with the spatial data of the CORINE land cover in 2018. The results showed that forest land use increased from 26.57% to 33.52%, built-up areas increased from 4.35% to 3.23%, and water bodies increased from 2.24% to 5.78%. Meanwhile, wetlands decreased from 4.35% to 0.84%, and other land use decreased from 66.56% to 56.63%. The main LULC change trends were determined to have resulted from political and economic decisions. The reconstructed LULC situation and identified LULC changes can provide the background for land management and future studies in various academic fields.

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“…the unit for measurement and assessment of accuracy) as well as the appropriate set of points which represent a certain sheet of topographic map and sheets that represent a whole map. (Drummond et al, 1995;Ozah et al, 2008;Govedarica et al, 2011;.…”

Section: Positional Accuracymentioning

confidence: 99%