National Repository of Grey Literature 10 records found  Search took 0.01 seconds. 
Archiv družicových dat CENIA
Kvapil, Jiří
Laboratoř dálkového průzkumu CENIA, české informační agentury životního prostředí v rámci své výzkumné činnosti vyvinula a pro širokou veřejnost zpřístupnila informační systém Archiv družicových dat. Aplikace je dostupná na webu Laboratoře dálkového průzkumu na Data jsou využitelná pro nejrůznější aplikace v zemědělství, lesnictví, monitoringu životního prostředí, sledování vývoje území apod.
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Temperature characteristics of surface using remote sensing methods
Hofrajtr, Martin ; Štych, Přemysl (advisor) ; Brom, Jakub (referee)
Temperature characteristics of surface using remote sensing methods Abstract The aim of this thesis is to design a methodology for refining the land surface temperature values obtained from Landsat 8 satellite data in areas with diverse land cover. The research section describes factors influencing the radiation of the Earth's surface. Also mentioned are current methods used for processing infrared thermal data and calculate land surface temperature. The practical part describes satellite and airborne data used in the analytical and verification process. All parts of the applied method leading to the subpixel value of the land surface temperature are described in detail in the method part. The results are then compared with airborne verification data with better spatial resolution and with currently used methods. Finally, the pros and cons of this method and its possible improvement in the future are mentioned. Key words: land surface temperature, land surface emissivity, satellite data, Landsat 8, airborne data, subpixel method, Czech Republic
Forest health assessment in Czech Republic using Sentinel-2 satellite data
Lukeš, Petr ; Strejček, R. ; Křístek, Š. ; Mlčoušek, M.
This methodology aims to design a comprehensive system of nationwide assessment of the state of health of the Czech Republic based on Sentinel-2 satellite data analysis. The methodology addresses the entire process from the pre-processing of source satellite data using a novel approaches based on analysis of all-available satellite observations and their processing in the form of cloud-free mosaics of the Czech Republic using big data approach. In the next step, the products derived from cloud-free mosaics (vegetation indexes and other image analysis) are compared against extensive database of ground survey of forest health status (values of the leaf area index sampled as part of the development of the methodology - further denoted as LAI, database of tree defoliation ICPForests, airborne hyperspectral data acquired for selected study area, global forest losses database). For products with the best relationship to in-situ data, a predictive statistical model to yield LAI from satellite observations is developed. Forest health status is evaluated on the basis of yearly changes of the LAI values for cloud-free mosaics generated in the vegetation maximum. Individual pixels are classified into four health classes according to LAI growth rate or decrease in the observed period. The final assessment of the state of health is applied at the cadastral level, where each cadastral area is classified into four health classes based on the fraction of the lowest health status stands with significant LAI decrease to the total forest cover for stands up to 80 years of age
Using satellite data of the Copernicus program for environmental research with a case study focused on assessment of REP reclaimed land in the neighbourhood of the lake Medard
Hernová, Jana ; Matějíček, Luboš (advisor) ; Brůna, Josef (referee)
Using satellite data of the Copernicus program for environmental research with a case study focused on assessment of REP reclaimed land in the neighbourhood of the lake Medard Abstract The thesis is divided into two parts on theoretical part and case study. The first deals is focused on description satellites of the Copernicus program and using for environmental research. The work is supplemented with examples of studies and projects that use satellite data of Sentinel with a focus on Sentinel-2. The second part deals with the use of the vegetation index REP of Sentinel-2 for the evaluation of vegetation in the landscape recultivation and evaluation of spatial resolution REP Sentinel-2. The area of interest is in the neighbourhood of the lake Medard. Keywords: satellite data, Copernicus, environmental research, REP, Medard
Determination of snow water equivalent from microwave radiometer measurements
Klímová, Tereza ; Kolář, Jan (advisor) ; Potůčková, Markéta (referee)
DETERMINATION OF SNOW WATER EQUIVALENT FROM MICROWAVE RADIOMETER MEASUREMENTS Abstract Snow water equivalent ammount of water in snow and its knowledge helps for example in flood prognostication. This bachelor thesis engages with determination of snow water equivalent from microwave radiometer's data in cooperation with data from ground stations. Norway was choosen because of its good data availability. Microwave radiometer AMSR2 on Japanese satellite GCOM has been used as a basic instrument. For map creation with snow water equivalent method considering differences of two spectral canals and other snow attributes were used. During verification of this method maps from Norwegian Meteorological Institute and EUMETSAT which provils different method in map creation were used. keywords: snow water equivalent, remote sensing, microwave radiometer
Satellite data management and analysis
Krška, David ; Lokoč, Jakub (advisor) ; Nečaský, Martin (referee)
The aim of this bachelor thesis is to implement and test an interactive application for the analysis, visualization and classification of satellite data. The satellite data are preprocessed and automatically composed into colored images. The application allows to create and compare two types of classification algorithms. The first type uses single images and the second type uses multiple images of the same place, but at different times. We also created an interface for selecting and managing the training data. A few well-known classification algorithms of both types were implemented and their success rates were compared in an experiment. All the satellite data used in the experiment are from the Landsat program. The result of this bachelor thesis is an application primarily focused on classification. But the application could also be extended into a complex GIS system. Powered by TCPDF (
Key steps in standardization of aerial photography (remote sensing) usage for forenzic ekotechnique: forest and trees needs
Introvičová, Sabina
The description of key steps for remote sensing data usage as base data for forensic ecotechnique expert opinions is a topic of the article. In accordance with systematic methodology in forensic ecotechnique, all accessible information about an object of examination should be employed. It follows that remote sensing data usage for expert opinions working out in the field of Forensic ecotechnique: forest and trees is necessary. Remotely sensed data was divided into three categories: aerial photography, radar imaginary, and satellite data; all with basic characteristics. The main problem of the standardization of remotely sensed data usage is in its dynamic development which has an impact of conditions for obtaining the data from different subjects dealing with pictorial data processing.
Visual data aplication by examples of expertises in forensic ecotechnique: forest and trees and other forest evaluation projects
Introvičová, Sabina
The aim of the article is to compare aerial data usage in Forensic Ecotechnique: Forest and Trees (FEFT) present practice with current pictorial data processing technology. The method of visual data usage standardization is based on finding a unified process in data obtaining and data interpretation for particular types of expertises in terms of FEFT expertises typology. Forest evaluation by remote sensing is a non-destructive method which we can use in preserve natural areas, furthermore remote sensing offers possibility of the evaluation of a surveyed object that does not exist at the time of an expertise submitting.
Asimilace satelitních a přízemních dat do modelů kvality ovzduší
Resler, Jaroslav ; Eben, Kryštof ; Juruš, Pavel ; Krč, Pavel
Tropospheric columns of various species retrieved from satellite instruments bring a new quality into data assimilation systems for air quality models. In our experiments we assimilate tropospheric columns of NO2 retrieved from the instruments GOME2 and OMI together with ground-level observations of NO2. The 4DVar method has been used to optimize both initial conditions and suitable parameters of the emission model. A forecast experiment has been performed and the contribution of data assimilation to the one-day-ahead forecast has been studied.

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