0603300 - ÚVGZ 2026 RIV US eng J - Journal Article
Kusbach, Antonín - Krejza, Jan - Fischer, Milan - Janoutová, Růžena - Horáček, Petr - Homolová, Lucie
Productivity of Coniferous Forests Evaluated by Remote Sensing and Field-Based Models.
Environmental Research Letters. Roč. 20, č. 2 (2025), č. článku 024016. ISSN 1748-9326. E-ISSN 1748-9326
R&D Projects: GA MŠMT(CZ) EH22_008/0004635; GA TA ČR(CZ) TO01000345; GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : MODIS * DendroNetwork * Norway spruce * net primary productivity * tree growth
OECD category: Forestry
Impact factor: 5.9, year: 2023 ; AIS: 2.29, rok: 2023
Method of publishing: Open access
Result website:
https://iopscience.iop.org/article/10.1088/1748-9326/ada2afDOI: https://doi.org/10.1088/1748-9326/ada2af
Permanent Link: https://hdl.handle.net/11104/0360519
Kusbach, Antonín - Krejza, Jan - Fischer, Milan - Janoutová, Růžena - Horáček, Petr - Homolová, Lucie
Productivity of Coniferous Forests Evaluated by Remote Sensing and Field-Based Models.
Environmental Research Letters. Roč. 20, č. 2 (2025), č. článku 024016. ISSN 1748-9326. E-ISSN 1748-9326
R&D Projects: GA MŠMT(CZ) EH22_008/0004635; GA TA ČR(CZ) TO01000345; GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : MODIS * DendroNetwork * Norway spruce * net primary productivity * tree growth
OECD category: Forestry
Impact factor: 5.9, year: 2023 ; AIS: 2.29, rok: 2023
Method of publishing: Open access
Result website:
https://iopscience.iop.org/article/10.1088/1748-9326/ada2afDOI: https://doi.org/10.1088/1748-9326/ada2af
Permanent Link: https://hdl.handle.net/11104/0360519