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UAV remote sensing of hydrological processes and fluvial dynamics
Lendzioch, Theodora ; Langhammer, Jakub (advisor) ; Cramer, Michael (referee) ; Hais, Martin (referee)
UAV REMOTE SENSING OF HYDROLOGICAL PROCESSES AND FLUVIAL DYNAMICS THEODORA LENDZIOCH Abstract Using drones and machine or deep learning algorithms (ML or DL) for environmental monitoring offers several advantages over traditional methods, including gathering high spatial resolution data quickly and non-invasively, acquiring real-time data, and covering large and remote areas. This dissertation focuses on snow cover, river granulometry, river sustainability, river bathymetry, and peatland dynamics based on approaches of drone-based imagery that are critical for understanding fluvial processes in mid-mountain regions and their implications for streamflow patterns and ecosystem health. Measuring Snow Depth (SD) and vegetation characteristics like Leaf Area Index (LAI) accurately is essential for effectively predicting snow cover and snowpack persistence across study sites (papers I and III). A further aspect of the fluvial process mediator involves the reproducibility of drone data. This allows for seamless coverage of riverbeds and the determination of ideal parameters for sediment surface cover detection. This can be done through photo-sieving or DL technique, which can analyze Particle Size Distributions (PSDs) of an entire river point bar from top-view UAV images (as described in papers II and V)....
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Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains
Pomahačová, Michaela ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains Abstract The aim of this thesis was to evaluate suitability of WorldView-2 imagery for grassland associations classification in the model area of Giant Mountains. The classification was based both on the legend compiled by a botanist, and on the legend of Natura 2000. In order to eliminate the effects of other types of land cover on the classification accuracy, a mask of grasslands was created. Using discriminant analysis, the significance of spectral bands of WorldView-2, as well as signifikance of selected vegetation indices and components from Principal Component Analysis (PCA) - to distinguish particular classes of grassland vegetation were evaluated. Based on the results of discriminant analysis, classifications using neural networks method and also maximum likelihood method were performed in ENVI 4.7 version software. The results of the both method were compared Key words: remote sensing, meadows association, classification, Giant mountains, WorldView 2
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Identification of potentially suitable habitats for occurrence of European Ground Squirrel (Spermophilus citellus) using remote sensing
Kadeřábková, Tereza ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
The aim of the thesis was to evaluate the possibilities of remote sensing (RS) data with different spatial resolution (UAV data with 5cm resolution, RapidEye satellite data with 5m resolution and Sentinel-2A data with 10m resolution) and of remote sensing methods (unsupervised and supervised classifications, vegetation indices NDVI and TVI) to identify potentially suitable habitats for European ground squirrel. The analyses were first carried out in Velké Pavlovice small area of interest and consequently in a broader area of interest comprised of five regions of Moravia and Slovakia. Data form mapping of biotopes and squirrels' burrows collected within a project "Sysli pro krajinu, krajina pro sysly" (European ground squirrels for landscape, landscape for European ground squirrels) were also used for the analyses. Remote sensing methods were first tested in Velké Pavlovice area using RapidEye data. The method providing the best results in the detection of European ground squirrel burrows was then used for a burrows detection in the broader area of interest (five regions) using Sentinel-2A data. The accuracy of results was defined as a proportion of the burrows detected by the resulting layer derived from RS data to the overall number of burrows mapped in the field. Best results were obtained for...
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Identification of potentially suitable habitats for occurrence of European Ground Squirrel (Spermophilus citellus) using remote sensing
Kadeřábková, Tereza ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
The aim of the thesis was to evaluate the possibilities of remote sensing (RS) data with different spatial resolution (UAV data with 5cm resolution, RapidEye satellite data with 5m resolution and Sentinel-2A data with 10m resolution) and of remote sensing methods (unsupervised and supervised classifications, vegetation indices NDVI and TVI) to identify potentially suitable habitats for European ground squirrel. The analyses were first carried out in Velké Pavlovice small area of interest and consequently in a broader area of interest comprised of five regions of Moravia and Slovakia. Data form mapping of biotopes and squirrels' burrows collected within a project "Sysli pro krajinu, krajina pro sysly" (European ground squirrels for landscape, landscape for European ground squirrels) were also used for the analyses. Remote sensing methods were first tested in Velké Pavlovice area using RapidEye data. The method providing the best results in the detection of European ground squirrel burrows was then used for a burrows detection in the broader area of interest (five regions) using Sentinel-2A data. The accuracy of results was defined as a proportion of the burrows detected by the resulting layer derived from RS data to the overall number of burrows mapped in the field. Best results were obtained for...
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Evalution of Time Series of Satellite Images to Observe Disturbancec in the Low Tatras
Laštovička, Josef ; Štych, Přemysl (advisor) ; Hais, Martin (referee)
The work is aimed at finding appropriate methods for observing changes in the status of forest vegetation and its evaluation in the years 1992-2015. The satellite images of the Low Tatras are analyzed by using Time Series technology. Specifically, the images Landsat 4, 5, 7 and 8, for which it is necessary to perform a calibration and an adjustment of input data values to realize the individual vegetation indices, due to the fact that the images are captured by different sensors with different radiometric resolution. From this perspective, the work deals with the possibilities of normalized relative radiometric corrections and search for a particular type of appropriate compensation for Landsat CDR images. Calibrated data sets are evaluated by Time Series of different vegetation indices. The resulting values are evaluated in relation with the occurrence of forest disturbances, eg. wind storms, biological and other pests. The final part is discussion of the results, evaluating the test methods of calibration and suitability of vegetation indices for observing the state of calamity. The App is created for generating the Time Series of Landsat images CDR and for preparing RRN datasets. Key words: Time Series, radiometric correction, atmospheric correction, Landsat CDR, vegetation indices,...
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Hydromorphological assessment of rivers using distance data sources
Králová, Magdalena ; Matoušková, Milada (advisor) ; Hais, Martin (referee) ; Lehotský, Milan (referee)
The thesis is aimed on hydromorphological assessment with usage of distance data. The distance method QuaWaDis is defined and the usage of results of image processing within the hydromorphological assessment is considered. The aim of the assessment is classification of hydromorphological conditions of water bodies according to Water Framework Directive 2000/60/EC. Distance method is based on visual interpretation of public data. Image processing results can extend the number of parameters of the distance method - object based classification was applied on aerial imagery (in land cover classification), unsupervised classification and image reclassification was applied on multispectral satellite data (in water depths classification). The calibration of distance method and the credibility of the distance data was evaluated in comparison with results of field survey EcoRivHab (Matoušková, 2008). Object based image processing was aimed on accuracy assessment, index of efficiency was defined and the concept of fuzzy logic was applied in accuracy assessment. From consideration of classification efficiency is obvious, that large internally heterogeneous objecs is more effectivelly to vectorise manually. Accuracy assessment with usage of concept of fuzzy logic shows the success of object recognition within each...
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Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains
Pomahačová, Michaela ; Kupková, Lucie (advisor) ; Hais, Martin (referee)
Possibilities of remote sensing in grassland vegetation and management interventions monitoring in the Giant Mountains Abstract The aim of this thesis was to evaluate suitability of WorldView-2 imagery for grassland associations classification in the model area of Giant Mountains. The classification was based both on the legend compiled by a botanist, and on the legend of Natura 2000. In order to eliminate the effects of other types of land cover on the classification accuracy, a mask of grasslands was created. Using discriminant analysis, the significance of spectral bands of WorldView-2, as well as signifikance of selected vegetation indices and components from Principal Component Analysis (PCA) - to distinguish particular classes of grassland vegetation were evaluated. Based on the results of discriminant analysis, classifications using neural networks method and also maximum likelihood method were performed in ENVI 4.7 version software. The results of the both method were compared Key words: remote sensing, meadows association, classification, Giant mountains, WorldView 2
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Posouzení míry antropogenního narušení vodního režimu lesních ekosystémů a jeho důsledků na změnu funkčních schopností lesů‚ návrh revitalizačního managementu (řešení pro modelové povodí): Řešení pro modelová subpovodí Bonarova a Ferdinandova potoka v roce 2005
Jihočeská univerzita v Českých Budějovicích, Zemědělská fakulta, Laboratoř aplikované ekologie, České Budějovice ; ENKI, o.p.s., Třeboň ; Vácha, Aleš ; Brom, Jakub ; Procházka, Jan ; Hais, Martin
Cílem výzkumu je vyhodnocení vlivu antropického narušení vodního režimu na funkční schopnosti lesních ekosystémů, kvantifikace funkčních schopností a účinků lesních porostů a determinace jejich změn. Cílem této práce je identifikovat případné změny teplotně-vlhkostních parametrů krajinného krytu v důsledku antropogenního zásahu do vodního režimu na vybraných lokalitách Šumavy prostřednictvím srovnávacích analýz multispektrálních družicových dat a dat z automatických záznamníků teplot. Cíl práce vychází z několika základních domněnek a hypotéz. Faktická hypotéza je založena na předpokladu, že zásah do vodního režimu lesních porostů spojený se snížením jejich retenční schopnosti způsobí jejich fyziologické změny, které lze identifikovat relativním zvýšením teplot a snížením vlhkostí. K ověření této hypotézy byla využita analýza dat z automatických záznamníků teplot a teplotních dat družice Landsat.
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