Search results
- 1.0584944 - ÚVGZ 2025 RIV NL eng J - Journal Article
Cimoli, E. - Lucieer, A. - Malenovský, Z. - Woodgate, W. - Janoutová, Růžena - Turner, D. - Haynes, R.S. - Phinn, S.
Mapping functional diversity of canopy physiological traits using UAS imaging spectroscopy.
Remote Sensing of Environment. Roč. 302, MAR (2024), č. článku 113958. ISSN 0034-4257. E-ISSN 1879-0704
Institutional support: RVO:86652079
Keywords : photochemical reflectance index * band vegetation indexes * chlorophyll content * spectral diversity * carotenoid content * species richness * soil properties * forest * leaf * biodiversity * Remote sensing * Hyperspectral * uav * Drone * Airborne * Satellite * Spectral vegetation indices * Trait probability density * Biodiversity
OECD category: Remote sensing
Impact factor: 13.5, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0034425723005102?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0352729File Download Size Commentary Version Access 1-s2.0-S0034425723005102-main.pdf 4 34 MB Publisher’s postprint open-access - 2.0553565 - ÚVGZ 2023 RIV NL eng J - Journal Article
Bárta, Vojtěch - Hanuš, Jan - Dobrovolný, L. - Homolová, Lucie
Comparison of field survey and remote sensing techniques for detection of bark beetle-infested trees.
Forest Ecology and Management. Roč. 506, FEB (2022), č. článku 119984. ISSN 0378-1127. E-ISSN 1872-7042
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Institutional support: RVO:86652079
Keywords : chlorophyll content * ips-typographus * damage * uav * reflectance * canopies * forests * indexes * model * Bark beetle * Ips typographus (L.) * Hyperspectral remote sensing * Ecological modelling * Norway spruce
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 3.7, year: 2022
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S037811272101077X
Permanent Link: http://hdl.handle.net/11104/0330741 - 3.0552700 - ÚVGZ 2022 RIV CH eng J - Journal Article
Klem, Karel - Křen, J. - Simor, J. - Kováč, Daniel - Holub, Petr - Míša, P. - Svobodová, I. - Lukáš, V. - Lukeš, Petr - Findurová, Hana - Urban, Otmar
Improving Nitrogen Status Estimation in Malting Barley Based on Hyperspectral Reflectance and Artificial Neural Networks.
Agronomy. Roč. 11, č. 12 (2021), č. článku 2592. E-ISSN 2073-4395
R&D Projects: GA MŠMT(CZ) EF16_019/0000797; GA MZe(CZ) QK1910197
Institutional support: RVO:86652079
Keywords : partial least-squares * vegetation indexes * spring barley * chlorophyll content * remote estimation * winter-wheat * grain-yield * growth * crop * nutrition * artificial neural network * grain yield * Hordeum vulgare * nitrogen status * hyperspectral reflectance
OECD category: Agriculture
Impact factor: 3.949, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2073-4395/11/12/2592
Permanent Link: http://hdl.handle.net/11104/0327827 - 4.0546326 - ÚVGZ 2022 RIV CH eng J - Journal Article
Tomíček, J. - Misurec, J. - Lukeš, Petr
Prototyping a Generic Algorithm for Crop Parameter Retrieval across the Season Using Radiative Transfer Model Inversion and Sentinel-2 Satellite Observations.
Remote Sensing. Roč. 13, č. 18 (2021), č. článku 3659. E-ISSN 2072-4292
R&D Projects: GA TA ČR TH02030248; GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : leaf-area index * chlorophyll content * water-content * canopy * wheat * instrument * corn * Sentinel-2 * prosail * radiative transfer * leaf area index * leaf chlorophyll content * leaf water content * artificial neural network * look-up table
OECD category: Remote sensing
Impact factor: 5.349, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2072-4292/13/18/3659
Permanent Link: http://hdl.handle.net/11104/0322860 - 5.0525289 - ÚVGZ 2021 RIV US eng J - Journal Article
Lukeš, Petr - Neuwirthová, E. - Lhotáková, Z. - Janoutová, Růžena - Albrechtová, J.
Upscaling seasonal phenological course of leaf dorsiventral reflectance in radiative transfer model.
Remote Sensing of Environment. Roč. 246, SEP (2020), č. článku 111862. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA MŠMT(CZ) LM2018123; GA MŠMT(CZ) LTAUSA18154; GA ČR(CZ) GJ17-05608Y
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : chlorophyll content * optical-properties * spectral properties * canopy * leaves * vegetation * light * fluorescence * variability * senescence * Adaxial and abaxial epidermis * Biochemistry * Dorsiventral leaf palisade and spongy mesophyll parenchyma * Leaf optical properties * Leaf structure * Leaf thickness * Radiative transfer model * Seasonal trends
OECD category: Remote sensing
Impact factor: 10.164, year: 2020
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0034425720302327?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0309463 - 6.0523938 - ÚVGZ 2021 RIV NL eng J - Journal Article
Holub, Petr - Klem, Karel - Tůma, I. - Vavříková, J. - Surá, Kateřina - Veselá, Barbora - Urban, Otmar - Záhora, J.
Application of organic carbon affects mineral nitrogen uptake by winter wheat and leaching in subsoil: Proximal sensing as a tool for agronomic practice.
Science of the Total Environment. Roč. 717, MAY 15 2020 (2020), č. článku 137058. ISSN 0048-9697. E-ISSN 1879-1026
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : long-term tillage * chlorophyll content * vegetation indexes * remote estimation * n fertilizer * soil * reflectance * crop * management * dynamics * Ammonium * Crop * Grain yield * Nitrates * Protein content * Vegetation index
OECD category: Ecology
Impact factor: 7.963, year: 2020
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S0048969720305684?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0308690 - 7.0505838 - ÚVGZ 2020 RIV NL eng J - Journal Article
Verrelst, J. - Malenovský, Zbyněk - Van der Tol, C. - Camps-Valls, G. - Gastellu-Etchegorry, J. P. - Lewis, P. - North, P. - Moreno, J.
Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods.
Surveys in Geophysics. Roč. 40, č. 3 (2019), s. 589-629. ISSN 0169-3298. E-ISSN 1573-0956
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:86652079
Keywords : leaf-area index * radiative-transfer model * red-edge position * support vector machine * remote-sensing data * hyperspectral canopy reflectance * lut-based inversion * chlorophyll content * nitrogen concentration * continuum removal * Imaging spectroscopy * Retrieval * Vegetation properties * Parametric and nonparametric regression * Machine learning * Radiative transfer models * Inversion * Uncertainties
OECD category: Remote sensing
Impact factor: 5.544, year: 2019
Method of publishing: Open access
https://link.springer.com/content/pdf/10.1007%2Fs10712-018-9478-y.pdf
Permanent Link: http://hdl.handle.net/11104/0297472 - 8.0504310 - ÚVGZ 2020 RIV CZ cze L2 - Special Maps
Mišurec, J. - Tomíček, J. - Lukeš, Petr - Klem, Karel - Jakešová, L. - Tučková, K.
Regionální mapa temporálních změn stavu zemědělských porostů: Kvantitativní odhad biofyzikálních parametrů porostů pšenice ozimé na podkladě družicových dar Sentinel-2.
[Regional map of temporal changes in agricultural stands: Quantitative estimation of biophysical parameters of winter wheat stands based on Sentinel-2 satellite donations.]
Internal code: TH02030248-V6 ; 2018
Technical parameters: Výsledek má charakter elektronické brožury (uložené ve formátu PDF) ve formátu 60 x 60 cm obsahující (kromě titulní stránky) schematický popis způsobu výpočtu biofyzikálních charakteristik na podkladě družicových dat Sentinel-2, a dále pak 9 mapových listů zobrazujících hodnoty obsahu chlorofylu, obsahu vody a indexu listové plochy pro tři termíny (9.4. 2018, 29.4. 2018 a 21.5. 2018)
Economic parameters: Výsledek je samostatně neprodejný a není určen pro přímý finanční zisk
R&D Projects: GA TA ČR TH02030248
Institutional support: RVO:86652079
Keywords : agricultural crops * biophysical variables * chlorophyll content * water content * leaf area index * radiative transfer
OECD category: Biophysics
Permanent Link: http://hdl.handle.net/11104/0305984 - 9.0496498 - ÚVGZ 2019 RIV CH eng J - Journal Article
Rautiainen, M. - Lukeš, Petr - Homolová, Lucie - Hovi, A. - Pisek, J. - Mottus, M.
Spectral Properties of Coniferous Forests: A Review of In Situ and Laboratory Measurements.
Remote Sensing. Roč. 10, č. 2 (2018), č. článku 207. E-ISSN 2072-4292
R&D Projects: GA MŠMT(CZ) LO1415; GA ČR(CZ) GJ17-05608Y; GA ČR(CZ) GA17-05743S
Institutional support: RVO:86652079
Keywords : minimizing measurement uncertainties * photon recollision probability * imaging-spectroradiometer misr * leaf optical-properties * scots pine * understory vegetation * boreal forest * chlorophyll content * canopy reflectance * background reflectance
OECD category: Remote sensing
Impact factor: 4.118, year: 2018
Permanent Link: http://hdl.handle.net/11104/0289259 - 10.0496363 - ÚVGZ 2019 RIV NL eng J - Journal Article
Klem, Karel - Záhora, J. - Zemek, František - Trunda, Petr - Tůma, I. - Surá, Kateřina - Hodaňová, Petra - Rapantová, Barbora - Hanuš, Jan - Vavříková, J. - Holub, Petr
Interactive effects of water deficit and nitrogen nutrition on winter wheat. Remote sensing methods for their detection.
Agricultural Water Management. Roč. 210, NOV (2018), s. 171-184. ISSN 0378-3774. E-ISSN 1873-2283
R&D Projects: GA MZe QJ1220007; GA MŠMT(CZ) LO1415; GA MŠMT(CZ) EF16_013/0001609
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:86652079
Keywords : hyperspectral vegetation indexes * higher-plant leaves * chlorophyll content * drought stress * spectral reflectance * use efficiency * precision agriculture * oxidative stress * crop canopies * gas-exchange * Agroecosystem * Drought * Grain yield * Infrared thermography * Spectral reflectance
OECD category: Agronomy, plant breeding and plant protection
Impact factor: 3.542, year: 2018
Permanent Link: http://hdl.handle.net/11104/0289171