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Bibliografická citace

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0 (hodnocen0 x )
(2) Půjčeno:2x 
SE
Seriál, periodikum
Ostrava : VŠB - Technical University of Ostrava, [2009]-
sv. ; 26 cm

2010
1x ročně
Součástí názvu je označení běžného roku
Popsáno podle: r. 2010
Jednotlivé svazky mají ISBN
978-80-248-2357-7 (2010 ; váz.)
000202196
ADVANCES IN GEOINFORMATION TECHNOLOGIES 2010 :   List of authors...vi // Preface...vii // 1. Satellite-based regional system for observation of forest response to global environmental changes...1 // 1.1 Introduction...1 // 1.2 Materials and methods...2 // 1.3 Results...9 // 1.4 Conclusion...12 // 2. Object-based classification of Landsat imagery and aerial photographs for land cover mapping in eCognition...15 // 2.1 Introduction...15 // 2.2 Geographic object-based image analysis...16 // 2.3 Object-based classification in eCognition...19 // 2.4 Case studies...22 // 2.5 Conclusion...30 // 3. Method for detection of small water bodies developed for purpose of cage fish farming // in Eastern Africa...33 // 3.1 Introduction...33 // 3.2 The Method applied on Landsat data...34 // 3.3 Application on another satellite data...37 // 3.4 Results...38 // 3.5 Discussion / Conclusion...42 // 4. Constructing a Digital Terrain Model from LIDAR data...47 // 4.1 Introduction...47 // 4.2 State of the art...49 // 4.3 Methods...50 // 4.4 Result and discussion...54 // 4.5 Conclusion...58 // 5. Analysis of the surface of buildings using terrestrial hyperspectral data...61 // 5.1 Introduction...61 // 5.2 Spectral analyses...62 // 5.3 Hyperspectral data...63 // 5.4 The hyperspectral system...64 // 5.5 System empirical calibration method and system setting problems...66 // 5.6 The field experiment...68 // 5.7 Analysis of results...71 // 5.8 Conclusions...72 //6. Dependence of PMl0 Particles Concentration on Aerosol Optical Thickness Value from the MODIS Data...75 // 6.1 Introduction...75 // iv // Contents // 6.2 Data...76 // 6.3 Methodology...77 // 6.4 Results...81 // 6.5 Discussion...89 // 6.6 Conclusion...89 // 7. Monitoring of Precipitable water vapour by GPS under extreme weather conditions 93 // 7.1 Introduction...93 // 7.2 Precipitable water vapour and methods of its determination...93 // 7.3 Processing...94 //
7.4 Visualization of computed results...96 // 7.5 Confrontation of values obtained from GPS measurements with results from // other methods...97 // 7.6 Conclusion...101 // 8. Stochastic approach for determining landslide activity...105 // 8.1 Introduction...105 // 8.2 Landslides and their monitoring...106 // 8.3 Experimental site and plot design...107 // 8.4 Statistical methods for landslides determination...109 // 8.5 Models...Ill // 8.6 Results...114 // 8.7 Discussion...116 // 8.8 Conclusions...117 // 9. Statistical estimation of land uplift model parameters based on various data sets...121 // 9.1 Introduction...121 // 9.2 Pásse’s uplift model...122 // 9.3 Refinement of Pásse’s uplift model...126 // 9.4 Results...129 // 9.5 UNTAMO toolbox...130 // 9.6 Discussion and conclusions...133 // 10. Mapping and Monitoring of Socially Excluded Localities in Ostrava City...135 // 10.1 Introduction...135 // 10.2 Data processing...136 // 10.3 Identification of socially excluded localities in the city...139 // 10.4 Monitoring of selected localities...143 // 10.5 Discussion...146 // 10.6 Conclusion...148//11. Simulation of commuting by carpooling in the Czech Republic...151 // 11.1 Introduction...151 // 11.2 Carpooling: ride-sharing, car-sharing...151 // 11.3 Methodology...153 // 11.4 Carpooling versus other transport modes...156 // 11.5 Cluster of employers based on commuting by travel mode...158 // 11.6 Conclusions...160 // Contents v // 12. Statistical inferences - visualization possibilities and fuzzy approach computing 163 // 12.1 Introduction...163 // 12.2 Public database and its geovisualization possibilities...164 // 12.3 Case study - Visualization of statistical inferences in the definition of rural area using fuzzy methods...167 // 12.4 Conclusion...176 // Index...179 // About authors...183

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