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Remote sensing methods in the identification of oil contaminations

GeoScience Engineering, 2012, Vol.58(1), pp.24-33 [Peer Reviewed Journal]

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Carbon stock in forest aboveground biomass - comparison based on Landsat data

Lesnicky Casopis, 2017, Vol.63(2-3), pp.126-132 [Peer Reviewed Journal]

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Využití dat z družice LANDSAT pro detekci tepelného znečištění v městské a příměstské krajině

Scientific Papers of the University of Pardubice. Series D. Faculty of Economics and Administration, 2010, Issue 16, pp.264-278 [Peer Reviewed Journal]

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Effect of Biometeorological Variables on the Onset of Phenophases Derived from Modis Data and Visual Observations

Lesnicky Casopis; Forestry Journal, 2014, Vol.60(1), pp.39-51 [Peer Reviewed Journal]

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Automating the creation of channel cross section data from aerial laser scanning and hydrological surveying for modeling flood events

Journal of Hydrology and Hydromechanics; Vodohospodarsky Casopis, December 2012, Vol.60(4), pp.227-241 [Peer Reviewed Journal]

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Remote sensing-based forest health monitoring systems – case studies from Czechia and Slovakia

Lesnicky Casopis, 2018, Vol.64(3-4), pp.259-275 [Peer Reviewed Journal]

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MODIS-based multi-parametric platform for mapping of flood affected areas. Case study: 2006 Danube extreme flood in Romania

Journal of Hydrology and Hydromechanics; Vodohospodarsky Casopis, December 2016, Vol.64(4), p.329 [Peer Reviewed Journal]

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Towards periodic and time-referenced flood risk assessment using airborne remote sensing

Journal of Hydrology and Hydromechanics; Vodohospodarsky Casopis, December 2016, Vol.64(4), p.438 [Peer Reviewed Journal]

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by this Author/Contributor:

  1. Bucha, Tomáš
  2. Bujok, Petr
  3. Stržínek, Filip
  4. Constantinescu, Stefan
  5. Irimescu, Anisoara

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