National Repository of Grey Literature 17 records found  previous11 - 17  jump to record: Search took 0.00 seconds. 
Analysis of marketing campaigns of the product of the Czech Railways SC Pendolino from its launch to the market in 2005
Lukáš, Vojtěch ; Halada, Jan (referee) ; Köppl, Daniel (advisor)
Bachelor work "Analysis of marketing campaigns of the product of the Czech Railways SC Pendolino from its launch to the market in 2005" provides information about introducing the Pendolino train in the Czech Republic. What campaigns were used for this purpose and how it was presented until 2009. This work represents the communication channels and evaluates creative outputs of campaigns. To evaluate these outputs is used the semiotic analysis. Bachelor work presents concrete steps that have been used for introduction of this product to public.
Balancing Assessment of Available Water Resources and Moisture Needs within Defined "Irrigation Districts”
Trnka, Miroslav ; Hlavinka, Petr ; Balek, Jan ; Semerádová, Daniela ; Dubrovský, Martin ; Štěpánek, Petr ; Vizina, A. ; Hanel, M. ; Žalud, Z. ; Lukas, V. ; Dumbrovský, M. ; Růžek, P. ; Daňhelka, J. ; Chuchma, F. ; Novák, P. ; Novotný, I. ; Pavlík, F.
This report is processing research results done within the contractual cooperation of the Institute of Global Change Research (as a research provider) and Státní pozemkový úřad - the Czech National Land Authority (demander), which was prepared in collaboration with other research partners. The report deals with balancing assessment of available water resources and moisture needs within defined "irrigation districts” of the Czech Republic with regard to the ongoing climate change
Crop yield estimation in the field level using vegetation indicies
Jurečka, František ; Hlavinka, Petr ; Lukas, Vojtěch ; Trnka, Miroslav ; Žalud, Zdeněk
Remote sensing can be very useful tool for agriculture management. In this study, remote sensing methods were applied for yield estimation in the field level. There were compared remote sensing data together with yield data obtained from the field. The study area is located in Polkovice in Olomoucký region and a crop planted there in the year 2016 was spring barley as one of most important crops grown in the region. The study area in Polkovice is located at lower elevations with intensive crop production and is climatologically warmer and drier than other areas of the Czech Republic. Year 2016 was the first year when the harvest device has been used for yield analysis in this study area. The output of this method is the yield map displaying the amount of crop harvested in the particular place in the field. The yield data from the field were then compared with remote sensing data in the form of vegetation indices. Two of them were used for comparison – Normalized Difference Vegetation Index (NDVI) and a two-band Enhanced Vegetation Index (EVI2). These indices have been often used for yield estimation in different studies but mostly in larger scales. This study investigates use of NDVI and EVI2 at more detailed scale while using various remote sensing methods. Comparisons show that remote sensing data can provide accurate estimation and can be used for yield forecasting or supplement traditional ways of yield estimation. Results of the study show that yield-index correlations are stronger for satellite data than for the drone data. NDVI showed slightly stronger correlations than EVI2. Strongest correlations between vegetation indices and yields were found for NDVI from Sentinel 2.
Prediction of crop yields using satellite remote sensing
Lukas, V. ; Trnka, Miroslav ; Semerádová, Daniela ; Rajdl, Kamil ; Balek, Jan ; Štěpánek, Petr ; Zahradníček, Pavel ; Hlavinka, Petr ; Žalud, Zdeněk
Knowledge of the crop yield with sufficient lead time prior to harvest is crucial for both the farm management and the agro-food sector policy. The aim of this study was to test feasibility of developing crop yield forecasting model in Czech Republic for winter wheat, spring barley and oilseed rape based on 2000-2014 database of vegetation indices Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI2) from Moderate Resolution Imaging Spectroradiometer (MODIS) on Terra satellite in form of 16-days composites. An average yield data were collected for 14 selected districts in the Czech Republic that represent the regions with more intensive agricultural production among varying climate and topographic conditions. The viability of the concept was proven in years with significant yield decline i.e. 2000, 2003, 2006 and 2012, when yields of cereals were significantly affected by occurred drought periods. More stable regression results were achieved in the most productive areas such as Olomouc and Prerov, whilst models in highland regions were influenced by lower acreage of three modelled crops and higher prevalence of fodder crops. In most cases, EVI2 showed higher correlations to the crop yield together with using an average value of all composites during vegetation period.
Remotely sensed NDVI as a support tool for agricultural drouhgt assessment
Hlavinka, Petr ; Semerádová, Daniela ; Trnka, Miroslav ; Lukas, V. ; Bohovic, R. ; Balek, J. ; Wardlow, B. ; Hayes, M. ; Tseagaye, T. ; Žalud, Zdeněk
Th e main aim of the submitted study was to introduce how the remotely sensed NDVI (Normalized Diff erence Vegetation Index) could be used for agricultural drought assessment within the Czech Republic. Th e relationship between NDVI values and observed yields of spring barley and winter wheat was analyzed for selected districts. Moreover the ability of NDVI (at district level in the form of seasonal greenness – SG) to explain the water balance or drought occurrence and severity was tested. For this purpose a data mining technique was used. A relative form of the Palmer Drought Severity Index (rPDSI) was used as a dependent variable to indicate drought occurrence. A Standardized Precipitation Index (SPI), percentage of average SG (PASG), Start of Season Anomaly (SOSA) and district identifi cation were used as independent variables. MODIS (Moderate Resolution Imaging Spectroradiometer) observations from the Terra satellite were used as a source of NDVI. Th e situation within 6 selected districts (Olomouc, Přerov, Znojmo, Břeclav, Žďár nad Sázavou and Havlíčkův Brod) during the period from 2000 to 2012 was analyzed. Promising results were achieved, so practical use of this approach (e.g. for spatial and temporal assessment of drought stress within the vegetation) could be expected.

National Repository of Grey Literature : 17 records found   previous11 - 17  jump to record:
See also: similar author names
2 Lukas, V.
6 Lukas, Vojtěch
6 Lukáš, Vojtěch
1 Lukáš, Vykydal
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