0469286 - ÚVGZ 2018 RIV NL eng J - Journal Article
Shi, H. - Li, L. - Eamus, D. - Huete, A. - Cleverly, J. - Tian, X. - Yu, Q. - Wang, S. - Montagnani, L. - Magliulo, V. - Rotenberg, E. - Pavelka, Marian - Carrara, A.
Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types.
Ecological Indicators. Roč. 72, Jan (2017), s. 153-164. ISSN 1470-160X. E-ISSN 1872-7034
R&D Projects: GA MŠMT(CZ) LM2015061
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:67179843
Keywords : Enhanced vegetation index * Gross primary production * Land cover types * Leaf area index * MODIS * Remote sensing
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.983, year: 2017
Permanent Link: http://hdl.handle.net/11104/0267091
Shi, H. - Li, L. - Eamus, D. - Huete, A. - Cleverly, J. - Tian, X. - Yu, Q. - Wang, S. - Montagnani, L. - Magliulo, V. - Rotenberg, E. - Pavelka, Marian - Carrara, A.
Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types.
Ecological Indicators. Roč. 72, Jan (2017), s. 153-164. ISSN 1470-160X. E-ISSN 1872-7034
R&D Projects: GA MŠMT(CZ) LM2015061
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:67179843
Keywords : Enhanced vegetation index * Gross primary production * Land cover types * Leaf area index * MODIS * Remote sensing
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.983, year: 2017
Permanent Link: http://hdl.handle.net/11104/0267091