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Land cover changes in Bohemian Switzerland using remote sensing data
Lihanová, Kristýna ; Štych, Přemysl (advisor) ; Součková, Jana (referee)
Land cover changes in Bohemian Switzerland using remote sensing data Abstract The purpose of this project was to classify land cover in The National Park Bohemian Schwitzerland from LAMDSAT data (1999, 2002, 2009), FORMOSAT data (2006) and QuickBird data (2009). Data used in this paper are described in details. The method used for images classification was method of unsupervised classification in Geomatica program. Created classes were merged into the final five classes. An Assessment of accuracy of classification showed that results don't reflect reality. Mixed forests are the biggest problem because they can be mistaken for coniferous or deciduous forests. Classification results were smoothed low pass filer and converted into a vector formats in ArcGIS program. For the years 2006 and 2009 was counted the vegetation indexes NDVI and LAI. Results showed that the densest vegetation is in deciduous forests. Changes in land cover were assessed in two ways. Shares of each class were calculated for all years. Overlays layers are created in ArcGIS. Overlap was conducted between 1999 and 2002 and between 1999 and 2009. Most changes were found between the coniferous and mixed forests. These changes are caused by the inaccuracies in classification. Key words: land cover, Bohemian Switzerland, forest, Landsat,...
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Assessments of forest damage using satellite and LIDAR data
Lihanová, Kristýna ; Štych, Přemysl (advisor) ; Bartaloš, Tomáš (referee)
Assessment of forest damage using satellite and lidar data Abstract The main objective of this thesis is to create a methodical procedure used for the evaluation of forest damage in the chosen area of the National Park Sumava, Czech Republic. In this work were combined the multispectral satellite data and data of airborne laser scanning. The forests in this area are heavily damaged mainly due to bark beetle outbreak. You can find here as healthy so damaged forests. Based on this methodology will be differentiated greater number of classes than I found in the literature. In this work was used pansharpened multispectral image SPOT, multispectral image Landsat and airborne laser scanning data with low density points. Another task was to get height information from ALS data in the form of grid. Forest stands were classified using object-oriented classification, which included at first segmentation and then creation of classification base. In classification entered spectral information and height information obtained from the ALS data. Forests were classified into 5 classes and accuracy of both classifications was evaluated using the error matrix and kappa coefficient. SPOT image classification reached kappa coefficient of 68,5 % and Landsat image classification reached kappa coefficient of 72,3 %. From the...
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Land cover changes in Bohemian Switzerland using remote sensing data
Lihanová, Kristýna ; Štych, Přemysl (advisor) ; Součková, Jana (referee)
Land cover changes in Bohemian Switzerland using remote sensing data Abstract The purpose of this project was to classify land cover in The National Park Bohemian Schwitzerland from LAMDSAT data (1999, 2002, 2009), FORMOSAT data (2006) and QuickBird data (2009). Data used in this paper are described in details. The method used for images classification was method of unsupervised classification in Geomatica program. Created classes were merged into the final five classes. An Assessment of accuracy of classification showed that results don't reflect reality. Mixed forests are the biggest problem because they can be mistaken for coniferous or deciduous forests. Classification results were smoothed low pass filer and converted into a vector formats in ArcGIS program. For the years 2006 and 2009 was counted the vegetation indexes NDVI and LAI. Results showed that the densest vegetation is in deciduous forests. Changes in land cover were assessed in two ways. Shares of each class were calculated for all years. Overlays layers are created in ArcGIS. Overlap was conducted between 1999 and 2002 and between 1999 and 2009. Most changes were found between the coniferous and mixed forests. These changes are caused by the inaccuracies in classification. Key words: land cover, Bohemian Switzerland, forest, Landsat,...
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