## 1 Introduction
### Overview of Spatial Data Quality Aspects  
To assess the probability of floods and the subsequent solution of the situation in the decision-making process, it is necessary to have data, especially spatial data which meet the imposed requirements with their quality [19]. Many studies are focused on the methodology for processing raw data [20], quality control and new data sources (LiDAR, Airborne SAR, ENVISAT ASAT) [21; 22; 23]. Modern measuring techniques and processing procedures in the field of 3D spatial information have been used by many authors as effective tools to accurately define and location more accurately objects with spatial aspects [24; 25]. Moreover, three-dimensional spatial models of the flood are widely used in flood risk mapping [26]. Spatial data are immediate bearers of descriptive and geographical information, thus creating an inseparable part of all the procedures concerning protection of the environment and human lives against the impact of floods. Knowledge of the input data quality is a necessary element assessing the accuracy and reliability obtained from flood event modeling [27; 28]. The quality of spatial data in water management practice can be evaluated using the following parameters: _position accuracy, attribute and logical correctness, completeness_, and _traceability of spatial data_, which are linked on spatial accuracy in general [29]. [PERSON] [30] focuses on the aspects of spatial data quality entering the GIS (Geographical Information Systems) in accordance with ISO (International Organization for Standardization) [31]. With regard to the tasks it performs, the Environmental Agency of the Republic of Slovenia [32] has developed itsown spatial data quality control system in accordance with the terms of valid standards. In [PERSON] and [PERSON] [33], different perspectives on spatial data quality assessment are defined. In their study, [PERSON] and [PERSON] [34] focus on the methodology for assessing the quality of digital elevation models (DEM) in accordance with the Infrastructure for Spatial Information in the European Community (INSPIRE). One basis for assessing the quality level of spatial data is ISO 19157:2013, as presented in several scientific contributions. These standards define the basic concepts and their sub-elements (Figure 1). The subject of crisis solution management in the field of flood risk management (or other natural disasters) remains a priority for local self-governing bodies, water management frameworks and some other relevant government bodies (e.g., ministries). The relevant government bodies emphasize the creation of quality map documents providing the spatial localization of flood risks within the current trend to localize flood endangered-regions [35]. Water management practice in Slovakia applies hydrodynamic modeling for dealing with multiple tasks, for example, the production of territorial planning documentation, preparation of water management plans, enacting legislation and creating laws, executive regulations, and standards, to name a few of the most important. According to [PERSON], et al. [36], hydrodynamic modeling becomes a tool for gaining information (spatial and descriptive) concerning water performance in flood management of watercourses and adjacent areas. As [PERSON], et al. [37] reported in their work, special attention must be given to the spatial interactivity of river systems, which can also be presented through the creation of system models. This proposal is also linked to the notion of the need to know the geometry and ways of obtaining spatial data for flood modeling. Without input data (spatial or non-spatial), the implementation of calculations and other analyses in the field of flood modeling would be limited [38].