|
|
Testing possibilities to extract selected landscape characteristics for description of indication-relevant bird species habitats in the Krkonoše Mts. from remote sensing data
Polák, Mojmír ; Kupková, Lucie (advisor) ; Janík, Tomáš (referee)
The thesis uses remote sensing data from two spatial scales (Sentinel-2 with a 10 x 10 m pixel and PlanetScope 3 x 3 m. It explores the possibilities of extracting selected landscape characteristics (spectral indices, land cover type, landscape metrics). In order to evaluate which characteristics and at what scale are statistically significant for the occurrence of 23 selected bird species, species richness in quadrats and the number of species of the order Passeriformes in the Krkonoše Mountains. Data on species occurrence were mapped in the year 2012-2014 The strength of the relationship between characteristics and abundance was determined by Pearson's correlation coefficient. It could not be confirmed that data with higher spatial resolution would be more beneficial for extracting landscape characteristics. Overall, the landscape characteristics did not prove functional relationships for all selected species, but for some species, species richness, and order of Passeriformes, the assumption of elevation and land cover as important factors was confirmed. Land cover was analysed using the Random Forest supervised classification method in Google Earth Engine with an overall accuracy of 78 % for Sentinel-2 data, both in tundra and in the rest of the area, and 77 % for PlanetScoce data in tundra, 66...
|
|
|
Evaluation of landscape changes in the Krkonoše Mountains national park using remote sensing and landscape metrics
Karvánek, Matouš ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
The aim of this bachelor thesis was to analyse of land cover and landscape state in the Krkonoše Mountains National Park between 1999 and 2007, using supervised classification and landscape metrics calculation. After the classification (Maximum likelihood algorithm) based on legend with 8 categories (5 types of vegetation, arable land, water areas, other areas), overlay analysis was performed by change detection and map sof land cover state and changes were created. The changes of the landscape and landscape components state were evaluated using landscpae metrics in software Fragstats. The overall accuracy for the image from 1999 was 81,50% and for the image from 2007 83,25%. Based on results i tis possible to conclude, that the area of forests increased and as fr the species composition the share of deciduous forests increased during this time period. Shift to a less diverse landscape was recorded based on landscape metrics evaluation. Coniferous forests comprised the landscape matrix in 1999 and also in 2007. Key words: supervised classification, land cover, landscape metrics, SPOT, FRAGSTATS, The Krkonoše Mountains National Park
|
|
|
Comparison of NATURA 2000 mapping with Earth Observation mapping (Case study of tundra in the Krkonoše Mts.)
Ondrušková, Kateřina ; Kupková, Lucie (advisor) ; Červená, Lucie (referee)
Comparison of NATURA 2000 mapping with Earth observation mapping (Case study of tundra in the Krkonoše Mts.) Abstract The bachelor thesis is focused on comparing Natura 2000 mapping with results of classification of Landsat 8 and WorldView-2 satellite images with different spatial resolution in the case study of tundra in the Krkonoše Mts. Satellite images were classified using Maximum Likelihood supervised classification and ISODATA unsupervised classification. The aim of the thesis was to find out what categories of Natura 2000 mapping are detectable using satellite images. For all classifications two levels of modified legend of the Natura 2000 mapping were used. The best results for both satellite images were achieved by unsupervised classification on level 1 of the legend - overall accuracy for Landsat 8 image was 64,1 % and for Word-View-2 image 67,16 %. Software ENVI 5.1 was used for all classifications. Keywords: Earth observation, supervised classification, unsupervised classification, legend, classification accuracy, NATURA mapping
|
|
|
Evaluation of landscape changes in the Krkonoše Mountains national park using remote sensing and landscape metrics
Karvánek, Matouš ; Kupková, Lucie (advisor) ; Štych, Přemysl (referee)
The aim of this bachelor thesis was to analyse of land cover and landscape state in the Krkonoše Mountains National Park between 1999 and 2007, using supervised classification and landscape metrics calculation. After the classification (Maximum likelihood algorithm) based on legend with 8 categories (5 types of vegetation, arable land, water areas, other areas), overlay analysis was performed by change detection and map sof land cover state and changes were created. The changes of the landscape and landscape components state were evaluated using landscpae metrics in software Fragstats. The overall accuracy for the image from 1999 was 81,50% and for the image from 2007 83,25%. Based on results i tis possible to conclude, that the area of forests increased and as fr the species composition the share of deciduous forests increased during this time period. Shift to a less diverse landscape was recorded based on landscape metrics evaluation. Coniferous forests comprised the landscape matrix in 1999 and also in 2007. Key words: supervised classification, land cover, landscape metrics, SPOT, FRAGSTATS, The Krkonoše Mountains National Park
|
|
|
Land cover changes in military areas of Czechia
Outrata, David ; Štych, Přemysl (advisor) ; Červená, Lucie (referee)
1 Land cover changes in military areas of Czechia The aim of this bachelor thesis was to analyze and compare land cover changes in two areas affected by military activities, in military area Brdy and former military area Ralsko between 1986, 1998 and 2011. Maximum Likelihood supervised classification algorithm and Landsat 5 satellite images was used. Within the work was also examined the usability of Landsat images CDR, with atmospheric corrections applied. Reference data to gain control data were RGB and monochromatic aerial images. The classification system contained eight classes adapted to explored territory. Satellite photographs was classified on surveyed territories for the years 1986, 1998 and 2011, with overall classification accuracy ranged from 80.45% to 90.02%.With these data was further worked, and tables and graphs showing the area of individual land cover in the given time horizons was compiled. Outputs are also land cover maps, change maps and stable land cover maps. The expected trend that in the former military area after leaving the army land cover changed significantly, contrary to the current military area, where changes are minor, was confirmed. Key words: land cover changes, supervised classification, Landsat, Landsat CDR, military areas, Brdy, Ralsko, Geomatica, ArcGIS
|
guest ::
