Summary

The aim of this work was to describe the usage of RS data in snow cover monitoring. In the theoretical part the basic physical and chemical characteristics of snow and ice was proposed. The snow properties on the images from different bands were described. And the overview of satellites acceptable for monitoring of snow cover was made.

In the practical part the oblique photo images were processed at first. There was a set of 23 photos for year 2006 and 19 photos for year 2007. This part of the work was solved within the project of Ministry of Environment of the Czech Republic – Assessment of tourism impacts on biotopes in large scale protected areas.

The task was to create ESRI Shapefile layers of snow cover for each available image of years 2006 and 2007. And to create maps of snow cover where the snow melting would be shown for years from 2004 till 2007. Applied botanical part of the project was done by the leader of the project.

The geometric corrections with polynomial rectification were performed in Erdas Imagine software. The selection of the snow on the images took place in ArcView GIS with extension Image Analysis using the Seed Tool. The output map creation was done using ArcGIS. Using Avenue scripting language, the statistics of percentage of snow cover for each image was made.

The other outputs of my thesis were raster analysis outputs. The goal was to show the melting process in different point of view. The analysis of phenological points was also important.

The classification of the Landsat satellite image was performed – firstly by the unsupervised classification, secondly by the supervised one.