Search results
- 1.0582337 - ÚVGZ 2024 RIV NL eng J - Journal Article
Kusbach, A. - Dujka, P. - Šebesta, J. - Lukeš, Petr - DeRose, R. J. - Maděra, P.
Ecological classification can help with assisted plant migration in forestry, nature conservation, and landscape planning.
Forest Ecology and Management. Roč. 546, OCT (2023), č. článku 121349. ISSN 0378-1127. E-ISSN 1872-7042
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Adaptation * Assisted gene flow * Assisted migration * Ecological classification * Ecological optimum * Forest management * Land classification * Plant migration * Site-specific approach * Species optimum
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0378112723005832?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0352250File Download Size Commentary Version Access Ecological classification can help with assisted plant migration in forestry, nature conservation, and landscape planning.pdf 0 8.8 MB Publisher’s postprint open-access - 2.0580183 - ÚVGZ 2024 RIV NL eng J - Journal Article
Fischer, Milan - Pavlík, P. - Vizina, A. - Bernsteinová, Jana - Parajka, J. - Anderson, M. - Řehoř, Jan - Ivančicová, J. - Štěpánek, Petr - Balek, Jan - Hain, C. - Tachecí, P. - Hanel, M. - Lukeš, Petr - Bláhová, Monika - Dlabal, J. - Zahradníček, Pavel - Máca, P. - Komma, J. - Rapantová, N. - Feng, S. - Janál, P. - Zeman, Evžen - Žalud, Zdeněk - Blöschl, G. - Trnka, Miroslav
Attributing the drivers of runoff decline in the Thaya river basin.
Journal of Hydrology: Regional Studies. Roč. 48, AUG (2023), č. článku 101436. E-ISSN 2214-5818
R&D Projects: GA TA ČR(CZ) SS01010207; GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : Climate change * Evapotranspiration * Precipitation * Remote sensing * Runoff * Trend analysis * Water balance
OECD category: Hydrology
Impact factor: 4.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S2214581823001234
Permanent Link: https://hdl.handle.net/11104/0348946File Download Size Commentary Version Access 1-s2.0-S2214581823001234-main.pdf 3 10.9 MB Publisher’s postprint open-access - 3.0580083 - ÚVGZ 2025 RIV IT eng J - Journal Article
Neuwirthová, E. - Lhotáková, Z. - Červená, L. - Lukeš, Petr - Campbell, P. - Albrechtová, J.
Asymmetry of leaf internal structure affects PLSR modelling of anatomical traits using VIS-NIR leaf level spectra.
European Journal of Remote Sensing. Roč. 57, č. 1 (2024), č. článku 2292154. E-ISSN 2279-7254
R&D Projects: GA MŠMT(CZ) LTAUSA18154
Institutional support: RVO:86652079
Keywords : co2 transfer conductance * absorption-spectra * optical-properties * chlorophyll-a * water-stress * reflectance * light * leaves * temperate * thickness * Planar leaves * leaf thickness * palisade * spongy parenchyma * contact probe * two-sided reflectance * leaf optical properties * leaf traits * vegetation function
OECD category: Remote sensing
Impact factor: 4, year: 2022
Method of publishing: Open access
https://www.tandfonline.com/doi/full/10.1080/22797254.2023.2292154
Permanent Link: https://hdl.handle.net/11104/0348858File Download Size Commentary Version Access Neuwirthova-2024-Asymmetry-of-leaf-internal-structur.pdf 8 2 MB Publisher’s postprint open-access - 4.0576853 - ÚVGZ 2024 RIV US eng J - Journal Article
Forzieri, G. - Dutrieux, L.P. - Elia, A. - Eckhardt, B. - Caudullo, G. - Taboada, F. A. - Andriolo, A. - Balacenoiu, F. - Bastos, A. - Buzatu, A. - Dorado, F. C. - Dobrovolný, L. - Duduman, M.-L. - Fernandez-Carrillo, A. - Hernandez-Clemente, R. - Hornero, A. - Ionut, S. - Lombardero, M.J. - Junttila, S. - Lukeš, Petr - Marianelli, L. - Mas, H. - Mlčoušek, M. - Mugnai, F. - Netoiu, C. - Nikolov, C. - Olenici, N. - Olsson, P. - Paoli, F. - Paraschiv, M. - Patočka, Z. - Perez-Laorga, E. - Quero, J. L. - Ruetschi, M. - Stroheker, S. - Nardi, D. - Ferencik, J. - Battisti, A. - Hartmann, H. - Nistor, C. - Cescatti, A. - Beck, P.S.A.
The Database of European Forest Insect and Disease Disturbances: DEFID2.
Global Change Biology. Roč. 29, č. 21 (2023), s. 6040-6065. ISSN 1354-1013. E-ISSN 1365-2486
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : bark beetle * biotic forest disturbances * climate change * defoliator * forest carbon cycle * forest resilience * pest monitoring * tree mortality
OECD category: Biodiversity conservation
Impact factor: 11.6, year: 2022
Method of publishing: Open access
https://onlinelibrary.wiley.com/doi/10.1111/gcb.16912
Permanent Link: https://hdl.handle.net/11104/0346249File Download Size Commentary Version Access Global Change Biology - 2023 - Forzieri - The Database of European Forest Insect and Disease Disturbances DEFID2.pdf 5 8.2 MB Publisher’s postprint open-access - 5.0574223 - ÚVGZ 2024 RIV NL eng J - Journal Article
Hovi, A. - Schraik, D. - Kuusinen, N. - Fabiánek, Tomáš - Hanuš, Jan - Homolová, Lucie - Juola, J. - Lukeš, Petr - Rautiainen, M.
Synergistic use of multi- and hyperspectral remote sensing data and airborne LiDAR to retrieve forest floor reflectance.
Remote Sensing of Environment. Roč. 293, AUG (2023), č. článku 113610. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT LM2023048
Institutional support: RVO:86652079
Keywords : understory * spectroscopy * radiative transfer * reflectance modeling * airborne laser scanning * sentinel-2 * prisma * hyperspectral
OECD category: Forestry
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S003442572300161X?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0344567File Download Size Commentary Version Access 1-s2.0-S003442572300161X-main.pdf 6 18.6 MB Publisher’s postprint open-access - 6.0572902 - ÚVGZ 2024 RIV GB eng J - Journal Article
Švik, Marian - Lukeš, Petr - Lhotáková, Z. - Neuwirthová, E. - Albrechtová, J. - Campbell, P. E. E. - Homolová, Lucie
Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods.
International Journal of Remote Sensing. Roč. 44, č. 10 (2023), s. 3083-3105. ISSN 0143-1161. E-ISSN 1366-5901
R&D Projects: GA MŠMT(CZ) LTAUSA18154
Research Infrastructure: CzeCOS IV - 90248
Institutional support: RVO:86652079
Keywords : chlorophyll * plant functional traits * Harmonized Landsat Sentinel-2 * machine learning * pigment content * water content * specific leaf area
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.4, year: 2022
Method of publishing: Limited access
https://www.tandfonline.com/doi/full/10.1080/01431161.2023.2216847?scroll=top&needAccess=true&role=tab
Permanent Link: https://hdl.handle.net/11104/0343544 - 7.0567215 - ÚVGZ 2023 RIV CH eng J - Journal Article
Tomíček, J. - Mišurec, J. - Lukeš, Petr - Potůčková, M.
Retrieval of Harmonized LAI Product of Agricultural Crops from Landsat OLI and Sentinel-2 MSI Time Series.
Agriculture-Basel. Roč. 12, č. 12 (2022), č. článku 2080. E-ISSN 2077-0472
R&D Projects: GA TA ČR TH02030248
Institutional support: RVO:86652079
Keywords : Sentinel-2 * Landsat * leaf area index * harmonization * vegetation index * prosail * radiative transfer * artificial neural network * time series
OECD category: Agriculture
Impact factor: 3.6, year: 2022
Method of publishing: Open access
https://www.mdpi.com/2077-0472/12/12/2080
Permanent Link: https://hdl.handle.net/11104/0338497File Download Size Commentary Version Access agriculture-12-02080 (1).pdf 6 4.2 MB Publisher’s postprint open-access - 8.0559680 - ÚVGZ 2023 RIV FI eng J - Journal Article
Hovi, A. - Lukeš, Petr - Homolová, Lucie - Juola, J. - Rautiainen, M.
Small geographical variability observed in Norway spruce needle spectra across Europe.
Silva Fennica. Roč. 56, č. 2 (2022), č. článku 10683. ISSN 0037-5330. E-ISSN 2242-4075
R&D Projects: GA MŠMT(CZ) LM2018123
Institutional support: RVO:86652079
Keywords : albedo * land surface modeling * leaf optical properties * radiative transfer modeling * remote transmittance
OECD category: Plant sciences, botany
Impact factor: 1.8, year: 2022
Method of publishing: Open access
https://www.silvafennica.fi/article/10683
Permanent Link: https://hdl.handle.net/11104/0332885 - 9.0559481 - ÚVGZ 2023 RIV CN eng J - Journal Article
Samec, Pavel - Kudělková, R. - Lukeš, Petr - Kučera, A. - Cudlín, Pavel
Influence of environmental predispositions on temperate mountain forest damage at different spatial scales during alternating drought and flood periods: case study in Hrubý Jeseník Mts. (Czech Republic).
Journal of Mountain Science. Roč. 19, č. 7 (2022), s. 1931-1944. ISSN 1672-6316. E-ISSN 1993-0321
R&D Projects: GA MŠMT(CZ) LM2018123
Institutional support: RVO:86652079
Keywords : Mountain environment * Forest damage types * Canopy density * Soil group * Norway spruce (Picea abies)
OECD category: Forestry
Impact factor: 2.5, year: 2022
Method of publishing: Open access
https://link.springer.com/article/10.1007/s11629-021-6671-0
Permanent Link: https://hdl.handle.net/11104/0332763 - 10.0555551 - ÚVGZ 2023 RIV US eng J - Journal Article
Hovi, A. - Schraik, D. - Hanuš, Jan - Homolová, Lucie - Juola, J. - Lang, M. - Lukeš, Petr - Pisek, J. - Rautiainen, M.
Assessment of a photon recollision probability based forest reflectance model in European boreal and temperate forests.
Remote Sensing of Environment. Roč. 269, FEB (2022), č. článku 112804. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) LTAUSA18154
Institutional support: RVO:86652079
Keywords : leaf-area index * spectral invariants * global products * solar-radiation * canopy * algorithm * fraction * modis * fpar * lai * Spectral invariants * Radiative transfer * Scattering * Hyperspectral * Spectra * Forest * Leaf area index * Coniferous * Broadleaved
OECD category: Meteorology and atmospheric sciences
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0034425721005241
Permanent Link: http://hdl.handle.net/11104/0330441