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0521208 - ÚVGZ 2020 RIV NL eng J - Článek v odborném periodiku
Turner, D. - Lucieer, A. - Malenovský, Zbyněk - King, D. - Robinson, S. A.
Assessment of Antarctic moss health from multi-sensor UAS imagery with Random Forest Modelling.
International Journal of Applied Earth Observation and Geoinformation. Roč. 68, JUN 2018 (2018), s. 168-179. ISSN 0303-2434. E-ISSN 1872-826X
Institucionální podpora: RVO:86652079
Klíčová slova: aerial vehicle uav * imaging spectroscopy * wilkes-land * classification * vegetation * topography * accuracy * plants * index * uav * uas * Random Forest Models * Antarctica * Moss * Multispectral * Visible * Thermal * Digital Surface Model
Obor OECD: Remote sensing
Impakt faktor: 4.846, rok: 2018
Způsob publikování: Open access s časovým embargem
https://www.sciencedirect.com/science/article/abs/pii/S0303243418300321?via%3
Trvalý link: http://hdl.handle.net/11104/0305845
Turner, D. - Lucieer, A. - Malenovský, Zbyněk - King, D. - Robinson, S. A.
Assessment of Antarctic moss health from multi-sensor UAS imagery with Random Forest Modelling.
International Journal of Applied Earth Observation and Geoinformation. Roč. 68, JUN 2018 (2018), s. 168-179. ISSN 0303-2434. E-ISSN 1872-826X
Institucionální podpora: RVO:86652079
Klíčová slova: aerial vehicle uav * imaging spectroscopy * wilkes-land * classification * vegetation * topography * accuracy * plants * index * uav * uas * Random Forest Models * Antarctica * Moss * Multispectral * Visible * Thermal * Digital Surface Model
Obor OECD: Remote sensing
Impakt faktor: 4.846, rok: 2018
Způsob publikování: Open access s časovým embargem
https://www.sciencedirect.com/science/article/abs/pii/S0303243418300321?via%3
Trvalý link: http://hdl.handle.net/11104/0305845