Central geospatial database analysis of the quality of road infrastructure data

Drobnjak, Siniša; Sekulović, Dragoljub; Amović, Mladen; Gigović, Ljubomir; Regodić, Miodrag

doi:10.15292/geodetski-vestnik.2016.02.269-284

Cited by 8 publications

(8 citation statements)

References 8 publications

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“…Due to the variation in the road network morphology (the length vs. width of the roads), the selection of appropriate data that integrate the analysis of road blockages caused by landslides requires a systematic assessment of the detailed properties of the landslide predisposing factors (Drobnjak et al, 2016;Imprialou and Quddus, 2017;Kazemi and Lim, 2005;Orongo, 2011) to obtain detailed landslide susceptibility results at the local scale (roads).…”

Section: Introductionmentioning

confidence: 99%

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

Meneses

Pereira

Reis

2019

Nat. Hazards Earth Syst. Sci.

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Abstract. This work evaluates the influence of land use and land cover (LUC) data with different properties on the landslide susceptibility zonation of the road network in the Zêzere watershed (Portugal). The information value method was used to assess the landslide susceptibility using two models: one including detailed LUC data (the Portuguese Land Cover Map – COS) and the other including more generalized LUC data (the CORINE Land Cover – CLC). A set of fixed independent layers was considered as landslide predisposing factors (slope angle, slope aspect, slope curvature, slope-over-area ratio, soil, and lithology) while COS and CLC were used to find the differences in the landslide susceptibility zonation. A landslide inventory was used as a dependent layer, including 259 shallow landslides obtained from the photointerpretation of orthophotos from 2005, and further validated in three sample areas. The landslide susceptibility maps were assigned to the road network data and resulted in two landslide susceptibility road network maps. The models' performance was evaluated with prediction and success rate curves and the area under the curve (AUC). The landslide susceptibility results obtained in the two models present a high accuracy in terms of the AUC (>90 %), but the model with more detailed LUC data (COS) produces better results in the landslide susceptibility zonation on the road network with the highest landslide susceptibility.

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Section: Introductionmentioning

confidence: 99%

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

Meneses

Pereira

Reis

2019

Nat. Hazards Earth Syst. Sci.

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“…[55]. The main advantage of integrating GIS and the MCDA can be seen in their specific capabilities supplementing each other [56]. From a methodological point of view, the defined landslide susceptibility areas in the western part of the Republic of Serbia include the following main steps ( Figure 2).…”

Section: Methodological Backgroundmentioning

confidence: 99%

The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best–Worst Methodology for Landslide Susceptibility Mapping

Gigović

Drobnjak

Pamučar

2019

IJGI

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The main goal of this article is to produce a landslide susceptibility map by using the hybrid Geographical Information System (GIS) spatial multi-criteria decision analysis best–worst methodology (MCDA-BWM) in the western part of the Republic of Serbia. Initially, a landslide inventory map was prepared using the National Landslide Database, aerial photographs, and also by carrying out field surveys. A total of 1082 landslide locations were detected. This methodology considers the fifteen conditioning factors that are relevant to landslide susceptibility mapping: the elevation, slope, aspect, distance to the road network, distance to the river, distance to faults, lithology, the Normalized Difference Vegetation Index (NDVI), the Topographic Wetness Index (TWI), the Stream Power Index (SPI), the Sediment Transport Index (STI), annual rainfall, the distance to urban areas, and the land use/cover. The expert evaluation takes into account the nature and severity of the observed criteria, and it was tested by using two scenarios: the different aggregation methods of the BWM. The prediction performances of the generated maps were checked by the receiver operating characteristics (ROCs). The validation results confirmed that the areas under the ROC curve for the weighted linear combination (WLC) and the ordered weighted averaging (OWA) aggregation methods of the MCDA-BWM have a very high accuracy. The results of the landslide susceptibility assessment obtained by applying the proposed best–worst method were the first step in the development of landslide risk management and they are expected to be used by local governments for effective management planning purposes.

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“…By defining the number of rows and columns, we define the value of a single cell grid. After collecting the individual test points in relation to a reference point in a single cell grid, the program will automatically lead to the next cell of the grid [6]. In the experimental study, we defined 13 rows and 13 columns, which enable the test area to be divided into 169 equal-cell grid.…”

Section: Horizontal Positional Accuracy Assessmentmentioning

confidence: 99%

“…Reference data sets are positioned using geodetic measurements in the field or taken from other more accurate sources.The basic problem in assessing positional accuracy of maps is the choice of accuracy measures (i.e. accuracy estimators), as well as a corresponding set of points that represent a chosen map sheet and the entire map [6].…”

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confidence: 99%

Visualization of Horizontal Positional Accuracy Assessment Results for Digital Topographic Maps at Scale 1:25000

Kostic¹

2017

Proceedings of the International Scientific Conference - Sinteza 2017

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The paper describes the visualization possibility of estimated results of horizontal positional accuracy of digital topographic map scale at 1:25 000 (DTM25) using geostatistical interpolation method. Estimation of horizontal positional accuracy DTM25 is realized by using standard STANAG 2215 (Standardization Agreement), which is intended for publishers of geotopographic material, or national mapping agencies for assessment of horizontal and vertical positional accuracy of spatial data by using ArcGIS software. The estimated results of horizontal positional accuracy are shown by means of a map that uses interpolated values of the root mean horizontal position. Rezime:U radu je opisana mogućnost vizualizacije dobijenih rezultata ocene horizontalne položajne tačnosti digitalne topografske karte razmera 1:25 000 (DTK25) korišćenjem geostatističkih metoda interpolacije. Ocena horizontalne položajne tačnosti DTK25 realizovana je na osnovu standarda STANAG 2215 (eng: Standardization Agreement), koji je namenjen izdavačima geotopografskog materijala, odnosno nacionalnim kartografskim agencijama za ocenu horizontalne i vertikalne položajne tačnosti prostornih podataka, korišćenjem softvera ArcGisfirme ESRI. Rezultati ocene horizontalne položajne tačnosti prikazani su pomoću karte sa interpolovanim vrednostima korena srednjeg horizontalnog položaja. Ključne reči:Kvalitet prostornih podataka, položajna tačnost, STANAG 2215, metode interpolacije, kriging.

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Central geospatial database analysis of the quality of road infrastructure data

Cited by 8 publications

References 8 publications

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks

The Application of the Hybrid GIS Spatial Multi-Criteria Decision Analysis Best–Worst Methodology for Landslide Susceptibility Mapping

Visualization of Horizontal Positional Accuracy Assessment Results for Digital Topographic Maps at Scale 1:25000

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