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0477397 - ÚVGZ 2018 RIV NL eng J - Journal Article
Tesnerová, C. - Zadinová, R. - Pikl, Miroslav - Zemek, František - Kadochová, Štěpánka - Matějíček, L. - Mihaljevič, M. - Frouz, Jan
Predicting the toxicity of post-mining substrates, a case study based on laboratory tests, substrate chemistry, geographic information systems and remote sensing.
Ecological Engineering. Roč. 100, Mar (2017), s. 56-62. ISSN 0925-8574. E-ISSN 1872-6992
R&D Projects: GA MŠMT(CZ) LO1415; GA MŠMT LM2015075
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:67179843 ; RVO:60077344
Keywords : Mining * Toxicity * GIS * Hyperspectral data * Sinapis alba
OECD category: Environmental sciences (social aspects to be 5.7); Ecology (BC-A)
Impact factor: 3.023, year: 2017
Permanent Link: http://hdl.handle.net/11104/0273750