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Design of a web GIS application for analysis of tree-ring chronology data and presentation of its results
Svátková, Anna ; Brůha, Lukáš (advisor) ; Brodský, Lukáš (referee)
This bachelor thesis concerns the design of a web GIS application tailored for tree-ring chronology data processing. It describes the development of a script tool in Python computing the medians of Cropper values from input dendrochronological data. The medians then enter a regression function. The approximated values obtained by the regression are afterwards interpolated within a region in the north of the Kokořínsko protected landscape area, designated for this case study. The procedure of publishing the tool as a geoprocessing service at an ArcGIS Server is described next, as well as its subsequent use within a preset sample widget. The customized widget with the geoprocessing service connected to it is then embedded into a web application created in the ArcGIS Web AppBuilder environment. The functionality of the application is designed to allow the presentation of geoprocessing service analysis results. Keywords: dendrochronology, Cropper values, tree-ring chronologies, spatial regression, spatial interpolation, web application, web GIS, ArcGIS Pro, ArcGIS Enterprise, ArcGIS Server, geoprocessing service, web tool, Python script, arcpy module, Web AppBuilder, custom widget
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Design of a dendrochronological database
Majer, Hugo-Miroslav ; Brůha, Lukáš (advisor) ; Brodský, Lukáš (referee)
The bachelor thesis focuses on the design of a spatial database of tree-ring chronologies. The theoretical part of the thesis describes database systems and the storage of spatial data in relational databases. It also reviews existing databases of tree-ring chronologies and the basics of dendrochronology. The next section describes provided dendrochronological data, which are used in methodical section of the thesis. The methodical section describes the data requirements for the created database, the process of its design and implementation within PostgreSQL/PostGIS. Subsequently, it deals with the creation of functions developed in procedural extension of SQL. The stored functions are used to improve import of data. Afterwards, the design of a data filter in the form of SQL statement is mentioned. The main result of the thesis is a spatial database that meets both data and functional requirements, contains provided data and is connectable to GIS. The thesis concludes with a summary of the achieved results and contributions to the ongoing scientific project. Keywords: spatial database, database design, tree-ring chronologies, PostgreSQL/PostGIS, Procedural Language/PostgreSQL
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Automated recognition of selected terrain features from their cartographic representation
Sykora, Matúš ; Bayer, Tomáš (advisor) ; Brodský, Lukáš (referee)
Automated recognition of selected terrain features from their cartographic representation. This diploma thesis is dedicated to automatic classification of selected terrain shapes and their cartographic representation. The main aim of this thesis is to design methodological approach for automatic recognition of terrain shapes (hills and valleys) with the use of Machine Learning (Deep Learning). The first part of suggested method divides rough terrain segmentation into two categories, which will be then classified with convolutional neural network. The second part of the thesis is dedicated to the very classification of pre-segmented terrain shapes using Machine Learning. Both parts of the processing are using photos SRTM30 as an input data. The whole proposed method was developed in Python programming language with the usage of Arcpy, TensorFlow and Keras libraries. Keywords: Digital cartography, GIS, terrain shapes, Machine Learning, Deep Learning, recognition, classification, segmentation
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Automatic detection of driving lanes geometry based on aerial images and existing spatial data
Růžička, Jakub ; Brůha, Lukáš (advisor) ; Brodský, Lukáš (referee)
The aim of the thesis is to develop a method to identify driving lanes based on aerial images and existing spatial data. The proposed method uses up to date available data in which it identifies road surface marking (RSM). Polygons classified as RSM are further processed to obtain their vector line representation as the first partial result. While processing RSM vectors further, borders of driving lanes are modelled as the second partial result. Furthermore, attempts were done to be able to automatically distinguish between solid and broken lines for a higher amount of information contained in the resulting dataset. Proposed algorithms were tested in 20 case study areas and results are presented further in this thesis. The overall correctness as well as the positional accuracy proves effectivity of the method. However, several shortcomings were identified and are discussed as well as possible solutions for them are suggested. The text is accompanied by more than 70 figures to offer a clear perspective on the topic. The thesis is organised as follows: First, Introduction and Literature review are presented including the problem background, author's motivation, state of the art and contribution of the thesis. Secondly, technical and legal requirements of RSM are presented as well as theoretical concepts and...
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Detection of snow avalanche debris from satellite synthetic aperture radar (SAR) data
Klímová, Tereza ; Kolář, Jan (advisor) ; Brodský, Lukáš (referee)
DETECTION OF SNOW AVALANCHE DEBRIS FROM SATELLITE SYNTHETIC APERTURE RADAR (SAR) DATA Abstract This thesis engages with detection of snow avalanche debris at radar images taken with synthetic aperture radar on Sentinel-1 satellite. The aim is to find method for recognizing places at image where is the snow avalanche debris. A method is based on neural net principle, specifically on using pre-trained model of neural net VGG-19. According to results of neural net, training images are splitted into two cathegories: there is an avalanche and there is not. It is called binary classification. The result is statistical evaluation of success rate compared with other traditional methods. keywords: snow avalanche, Sentinel-1, neural net, VGG-19
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Field protocol for in-situ biophysical parameters collection
Šudová, Markéta ; Brodský, Lukáš (advisor) ; Červená, Lucie (referee)
Field protocol for in-situ biophysical parameters collection Abstract The main aim of diploma thesis is to design a unified protocol intended for collecting of in-situ biophysical parameters of vegetation based on an up-to-now published literature as well as on my own experimental measuring. The key for measuring of high- quality field data, that are suitable for a subsequent validation of remote sensing products, is an implementation of unified rules as well as all the phases of data collecting, a recommended preparation before the very measuring, the choice of a sampling scheme and a processing of measured data. Based on an accessible literature the current methods of LAI data measuring were evaluated and the basic protocol parameters were defined. For designing of a proper parameterization of this protocol an experimental field measurement was carried out. A determination of a suitable number of partial measurements within ESU is given by a relationship between the number of partial measurements and MSE value. The sampling schemes stated in a literature as well as my own designed sampling schemes are subsequently tested in order to determine a suitable sampling scheme. Based on achieved MSE values the most suitable sampling scheme that was later verified in field measuring was evaluated. Based on a field...
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Snow cover detection from webcam images
Fišer, Jan ; Brodský, Lukáš (advisor) ; Jeníček, Michal (referee)
This thesis deals with the possibility of using webcams as a source of spatial data for snow occurrence. The aim of this study is to propose a suitable method of snow cover detection from web camera images. From a sample of 6 webcams of the Czech Hydrometeorological Institute (CHMI) the snow cover is detected by pixel classification methods. The effect of training file size on the accuracy of classification is examined and the overall accuracy achieved by the SVM method was shown to be 97.46%. This study also aims to propose a system for determining the proportion of snow-covered areas. The algorithm consists of several sub-steps: filtering and registration of images, detection of snow, introduction of a coordinate system, calculation of the size of the surveyed area and the proportion of snow-covered area. The designed model can be used for automatic processing of images for various webcams. The melting curves of the snow cover are generated from the obtained daily values of the snow covered area. The results are validated using data from selected CHMI stations. The proposed and parameterized model confirms the possibility of successful use of webcams as a complement to ground measurement of meteorological stations and for the validation of remote sensing products.
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Creating 3D models by a UAV
Marek, Robert ; Štefanová, Eva (advisor) ; Brodský, Lukáš (referee)
Bachelor thesis deals with the utilization of UAV for data collection for photogrammetric purposes. Its goal is to create 3D models from the data used by the UAV. These are processed in selected UAV softwares based on analysis. In addition to the basic principles of UAV photogrammetry, the theoretical part includes a search for appropriate methodology for the preparation and implementation of the flight mission. Data processing took place in the Pix4D, 3DSurvey, and the Reference Photoscan used for general visualization. The final part evaluates the resulting accuracy of the outputs. Selected softwares were compared from 16 different criteria, making the Pix4D software the most convenient for processing UAV data. The aim of the thesis is not only to point out the potential of UAV resources in visualization of spatial data, but also the softwares used for this specific data. Keywords UAV, UAV photogrammetry, 3D model, drone, Agisoft Photoscan, Pix4D, 3DSurvey
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Grassland management monitoring based on Sentinel-1 data
Doležal, Jan ; Potůčková, Markéta (advisor) ; Brodský, Lukáš (referee)
The main goal of this diploma thesis was to find and quantify the connection between coherence, entropy, polarimetric angle alpha obtained from Sentinel-1 radar data and grass cutting/pastures. The research was carried out in the area of the Krkonoše national park. To assemble and validate applied methodology, field data was collected 5 times. Hourly rainfall data from Czech hydrometeorological institute was available, but it did not have to be used - no rainfalls were recorded at the time of data acquisitions. Dependence between mowing and the value of coherence has been confirmed. After mowing, median coherence was higher than before mowing. The results were similar to VH as well as VV polarization. Coherence on polygons remained higher after 12-24 days. In total, two different data acquisition geometries (ascending and descending) were examined. The results in both cases were similar. For polarimetric parameters, no correlation between polarimetric parameters and grass mowing or pasture has been confirmed. Keywords: radar, SAR, Sentinel-1, coherence, polarimetry, grass mowing
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Creating 3D models by a UAV
Marek, Robert ; Štefanová, Eva (advisor) ; Brodský, Lukáš (referee)
The Thesis uses UAV to collect data for photogrammetric purposes. Its goal is to create 3D models from UAV data in selected software. These are applied based on the analysis of specific UAV-focused software. The theoretical part contains, besides the basic principles of UAV photogrammetry, a search for appropriate methodology for the preparation and implementation of the flight mission. Data processing took place in the Pix4D and 3DSurvey, compared to Agiosft Photoscan, used for general visualization. The resulting accuracy and quality of outputs is reviewed in the final section, where it is shown that UAV-specific softwares show greater accuracy of the model in position and space. The purpose of this research is to point out not only the potential of common UAV in visualization of spatial data, but also the software specific to these data. Keywords UAS, UAV photogrammetry, 3D model, Agisoft Photoscan, Pix4D, 3DSurvey
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