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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Detection options of drenage and ameliorate channels using remote sensing data
 Čermák, Jan ; Potůčková, Markéta (advisor) ; Štych, Přemysl (referee)
The purpose of this work is to explore detection options of subsurface drainage systems using remote sensing data. Drainage drains soggy soil and increases its fertility, but also allows transport of nutrients such as nitrogen and phosporus into waterways. Location of drainage systems is often unknown because of missing or inacurrate project documentation. Theoretical part is mostly devoted to the description of remote and ground methods of drainage detection. Then objectives of the work are solved. Drainage indications are described in specialized aerial photographs of visible and infrared part of the spectrum. These indications are compared with historical project plans. Methods aimed to improve indication of drainage including Laplacian filter and NDVI are applied and evaluated. Main output is binary raster expressing location of drains. Accuracy of results is evaluated in relation to vectorized indication of drainage from the source images.
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Detection options of drenage and ameliorate channels using remote sensing data
 Čermák, Jan ; Potůčková, Markéta (advisor) ; Štych, Přemysl (referee)
The purpose of this work is to explore detection options of subsurface drainage systems using remote sensing data. Drainage drains soggy soil and increases its fertility, but also allows transport of nutrients such as nitrogen and phosporus into waterways. Location of drainage systems is often unknown because of missing or inacurrate project documentation. Theoretical part is mostly devoted to the description of remote and ground methods of drainage detection. Then objectives of the work are solved. Drainage indications are described in specialized aerial photographs of visible and infrared part of the spectrum. These indications are compared with historical project plans. Methods aimed to improve indication of drainage including Laplacian filter and NDVI are applied and evaluated. Main output is binary raster expressing location of drains. Accuracy of results is evaluated in relation to vectorized indication of drainage from the source images.
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Using the unmanned technology for determining the drainage systems and their failures on the agriculturally managed soils
 FÜRST, Vojtěch
Objective of this dissertation was to study possibilities of detection of subsurface drainage systems by unmanned aerial vehicles. Unmanned aerial vehicles, "drones", served to military purpose in the past. Nowadays these unmanned aerial vehicles helps to map drainage on fields because it is hard to get draining plans today and a big part do not match with the actual implementation of drainage systems. We can also add that nobody cares about drainage today. Drainage drains of soaked soil and improve its harvest. Drainage facilitates transport of nutrients (nitrogen and phosphorus) to watercourses. Fields changes over time to parcels. There is description of sorting and functionality of drainage systems as well as description of malfunctions and used material in theoretical part. There is also description of unmanned aerial vehicles and a method of detection of subsurface drainage systems . Besides there is detailed description of the locality, function of drainage system and evaluation. There is description of indication of drainage on specialized aerial photography. Indications are compared with period plans. Methods of highlighting indications are applied and evaluated by programs Agisoft PhotoScan Professional and Arc GIS 10.1. Main results are photographies that demonstrate location of drainages. Using ground control points the image converted into the coordinate system.
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