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Evaluation of influence of interpolation methods on coregistration of radar images
Slačíková, Jana ; Potůčková, Markéta (advisor) ; Hlaváčová, Ivana (referee)
Evaluation of influence of interpolation methods on coregistration of radar images Abstract SAR interferogram processing requires subpixel coregistration of SAR image pair for accurate phase differencing. Errors in alignment introduce phase noise in SAR interferogram. Last step in coregistration is resampling one of SAR images. Also this step introduces errors in SAR interferogram. The resampling algorithms Nearest Neighbor, Bilinear interpolation, Cubic Convolution and advanced methods such as Raised Cosine kernel, Knab interpolation kernel and Truncated Sinc were tested on ERS tandem data and compared. The results were compared with the theory and simulations of earlier investigations (Hanssen, Bamler, 1999), (Migliaccio, Bruno, 2003) and (Cho ... [et al.], 2005). The main experiment in this work was to examine and compare resampling methods on real data to evaluate their effect on the interferometric phase quality and DEM generation. The coregistration performance was evaluated by the coherence (Touzi ... [et al.], 1999) and the sum of phase differences (Li ... [et al.], 2004). No evidence showed that computationally intensive algorithms produced better quality of interferogram than Cubic Convolution. The possibilities of evaluating by means of the accuracy of the final InSAR DEM (Li, Bethel, 2008) were...
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The use of high temporal resolution satellite data for monitoring of water quality
Šmejkalová, Tereza ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
The use of high temporal resolution satellite data for monitoring of water quality Abstract Present study compares possibilities of sea water quality monitoring using high temporal resolution satellite data. The theoretical part describes basic principles of remote sensing, the spectral characteristics of water and their change caused by substances present in the water. The analytical modeling methods of chlorophyll-a concentration retrieval from MERIS data are described. In the study three processors are used, standard MERIS processor Case 2 Regional, FUB/Wew Water processor and FLH/MCI processor. In total 10 satellite images are processed, five for each of the two studied areas, the Golfe du Lion in France and Skagerrak and Kattegat straights in Northern Europe. As there is only limited dataset of in situ measurements available to validate the results, it is impossible to decide which of the processors is the most suitable one. It is however clear that none of the globally applicable algorithms can be as accurate as algorithms developed for the exact location and atmospheric actual conditions.
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The use of high temporal resolution satellite data for monitoring of water quality
Šmejkalová, Tereza ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
The use of high temporal resolution satellite data for monitoring of water quality Abstract Present study compares possibilities of sea water quality monitoring using high temporal resolution satellite data. The theoretical part describes basic principles of remote sensing, the spectral characteristics of water and their change caused by substances present in the water. The analytical modeling methods of chlorophyll-a concentration retrieval from MERIS data are described. In the study three processors are used, standard MERIS processor Case 2 Regional, FUB/Wew Water processor and FLH/MCI processor. In total 10 satellite images are processed, five for each of the two studied areas, the Golfe du Lion in France and Skagerrak and Kattegat straights in Northern Europe. As there is only limited dataset of in situ measurements available to validate the results, it is impossible to decide which of the processors is the most suitable one. It is however clear that none of the globally applicable algorithms can be as accurate as algorithms developed for the exact location and atmospheric actual conditions.
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Evaluation of Long-term Land Cover Changes in the Region of Svitavy
Drahošová, Stanislava ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
Land Cover changes in region Svitavy Abstract The aim of this thesis is to evaluate land cover changes of remote sensing data in region Svitavy after 1990. Landsat data (1994 and 2001) and IRS-P6 data (2006) were used. The literature search concerns the spectral characteristics of surface, the image classification and evaluating land cover changes in the Czech Republic. For image classification was used Maximum Likelihood algorithm of supervised method. The parts of image classification are the training stage, the classification stage, postclassification smoothing and classification accuracy assessment. Land cover changes were evaluated by compare area and share of land cover category and overlap of vector layers for 1994 - 2001 and 2001 - 2006. Two programmes were used: PCI Geomatica and the ArcGIS. In my classification were found some errors based on evaluation error matrix. For the whole time period was confirm relatively assumed tendency as growth of grasslands and forests and spreading built-up area in region Svitavy. Keywords: land cover, classification, region Svitavy, Maximum Likelihood
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Use of GIS hydrology tools in water management
Soukup, Matěj ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
Use of GIS hydrology tools in water management Abstract This thesis deals with the use of GIS hydrology tools in water management. It is solved on example of Dobříš region. It deals with delineating water protection zones based on digital elevation model. The digital elevation model was derivated from elevation data from the ZABAGED database and then modified by the river network data from the DIBAVOD database. The paper also discusses the use of hydrological functions in the search for potential water sources. During the work was developed a geodatabase containing the data usable in water management. Keywords GIS, water management, hydrologic modelling, protection zones, water resources
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Evaluation of influence of interpolation methods on coregistration of radar images
Slačíková, Jana ; Potůčková, Markéta (advisor) ; Hlaváčová, Ivana (referee)
Evaluation of influence of interpolation methods on coregistration of radar images Abstract SAR interferogram processing requires subpixel coregistration of SAR image pair for accurate phase differencing. Errors in alignment introduce phase noise in SAR interferogram. Last step in coregistration is resampling one of SAR images. Also this step introduces errors in SAR interferogram. The resampling algorithms Nearest Neighbor, Bilinear interpolation, Cubic Convolution and advanced methods such as Raised Cosine kernel, Knab interpolation kernel and Truncated Sinc were tested on ERS tandem data and compared. The results were compared with the theory and simulations of earlier investigations (Hanssen, Bamler, 1999), (Migliaccio, Bruno, 2003) and (Cho ... [et al.], 2005). The main experiment in this work was to examine and compare resampling methods on real data to evaluate their effect on the interferometric phase quality and DEM generation. The coregistration performance was evaluated by the coherence (Touzi ... [et al.], 1999) and the sum of phase differences (Li ... [et al.], 2004). No evidence showed that computationally intensive algorithms produced better quality of interferogram than Cubic Convolution. The possibilities of evaluating by means of the accuracy of the final InSAR DEM (Li, Bethel, 2008) were...
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