Využití geoinformačních technologií ke zhodnocení vlivu využití dat pokryvu krajiny na s-o proces.

Abstract

This work investigates LULC (Land Use and Land Cover) influences on rainfall-runoff (RR) process in a landscape. This work does not deal with hydrological model development; it is only used within the scope of the work. These issues appreciate geoinformation technology capabilities, especially integration of Geographical Information System (GIS), Remote Sensing (RS), and Hydrological Modelling (HM) tools, where such connection allows comprehensive insight into these matters. GIS supports pre- and post- processing, RS provides actual/historical information representing alternative source of the land cover input data into a model, and HM allows description of investigated phenomena. The objective is to answer an assumption if two different LC datasets are able to bring differences into RR model outputs. Past knowledge and experience together with data accessibility, gained through participation in other projects, put forward two areas of investigation (Bela catchment and Olse catchment), both transboundary catchment areas. Other objective represented creation of a classification schema for data classification of LULC data suitable for a study of its impact to RR process. Outputs represent HYDRO LC classification schema and a ToolBox (ArcGIS 9.2) for CN value, land cover, and hydrological soil group association.