Land Use And Land Cover Change Surounding The Rimov Reservoir In South Bohemia,Czech Republic

B.Sc. Chambo Wongibe, BSc

Master's thesis

Abstract:

The aim of this study is to produce maps of land use and land cover of the Rimov Reservoir and Surroundings on previous years to monitor the possible changes that may occur since the creation of the dam site and to assess the trends of land use and land cover change. LULC changes were investigated using remote sensing data with the help of Google Earth Engine and GIS software. Geographic information system and remote sensing technologies was used to identified land cover changes detection; remote sensing data, satellite imagery and image processing techniques was done within five dates of 1984,1990 ,2000, 2010 and 2019 using Land sat TM and Landsat OLI of 30 m resolution images. Google Earth Pro and Arc GIS 10.8 soft wares were used to identify the changes. The classification was done using five land cover classes (agricultural land, bare land, built-up areas, grassland, and water bodies). Rimov reservoir size was measured and calculated separately from the water bodies. Preprocessing and classification of the images were analyzed carefully, and accuracy assessment was tested separately using the kappa coefficient. A total of 125 accuracy sampling points were randomly selected making it 25 points for each class of the allocated year. The results showed that overall accuracy for all five selected years range from 79.2% to 88% and kappa coefficient ranged from 74% to 85%. This study indicated that in the last 35 years period, built-up areas significantly increased from 13% in 1984 to 25% in 2019, agricultural land from 29% in 1984 to 38% in 2019 and bare land reduced from 27% in 1984 to 11% in 2019. Changes in the reservoir size ranged between 1.42km2 to 1.93km2 signifying a minimal change in reservoir size over the years. So, it is however important to conclude that GIS and Remote Sensing techniques could be used and recommend for LULC change studies.

Keywords

Land Use and Land Cover, GIS (Geographic Information System), Accuracy Assessment, Detection Change, Remote Sensing, Satellite Images, LULC Classification, Kappa Coefficient

Language used: English

Date on which the thesis was submitted / produced: 30. 3. 2021

Thesis defence

• Supervisor: Ing. Zdeněk Keken, Ph.D.

Czech University of Life Sciences Prague

Faculty of Environmental Sciences

Master programme / field:
Engineering Ecology / Nature Conservation