Search results

  1. 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/11104/0352729
    FileDownloadSizeCommentaryVersionAccess
    1-s2.0-S0034425723005102-main.pdf434 MBPublisher’s postprintopen-access
     
     
  2. 2.
    0580169 - ÚVGZ 2025 RIV CA eng J - Journal Article
    Missarov, A. - Sosnovsky, Y. - Rydlo, K. - Brovkina, Olga - Maes, W. H. - Král, K. - Krůček, M. - Krasylenko, Y.
    Vertical botany: airborne remote sensing as an emerging tool for mistletoe research.
    Botany. Roč. 102, č. 3 (2024), s. 58-71. ISSN 1916-2790. E-ISSN 1916-2804
    R&D Projects: GA MŠMT LM2023048
    Institutional support: RVO:86652079
    Keywords : imaging spectroscopy * uav * classification * image recognition * image spectroscopy * infrared thermography * light detection and ranging * structure from motion * UAVs
    OECD category: Remote sensing
    Impact factor: 1.1, year: 2022
    Method of publishing: Limited access
    https://cdnsciencepub.com/doi/10.1139/cjb-2023-0049
    Permanent Link: https://hdl.handle.net/11104/0353078
     
     
  3. 3.
    0577091 - BÚ 2024 RIV NL eng J - Journal Article
    Kupková, L. - Červená, L. - Potůčková, M. - Lysák, J. - Roubalová, M. - Hrázský, Z. - Březina, S. - Epstein, H. E. - Müllerová, Jana
    Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European tundra.
    Remote Sensing of Environment. Roč. 294, August (2023), č. článku 113645. ISSN 0034-4257. E-ISSN 1879-0704
    Institutional support: RVO:67985939
    Keywords : multi-temporal species classification * relict arcto-alpine tundra * grass vegetation * UAV hyperspectral data
    OECD category: Plant sciences, botany
    Impact factor: 13.5, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1016/j.rse.2023.113645
    Permanent Link: https://hdl.handle.net/11104/0348978
     
     
  4. 4.
    0571110 - ÚSMH 2024 RIV CH eng J - Journal Article
    Klimeš, Jan - Hussain, Y. - Mreyen, A. - Cauchie, L. - Schlogel, R. - Piroton, V. - Petružálek, Matěj - Blahůt, Jan - René, Miloš - Meletlidis, S. - Havenith, H.
    New Insights into the Internal Structures and Geotechnical Rock Properties of the Giant San Andres Landslide, El Hierro Island, Spain.
    Remote Sensing. Roč. 15, č. 6 (2023), č. článku 1627. E-ISSN 2072-4292
    Grant - others:AV ČR(CZ) FNRS-20-01
    Program: Bilaterální spolupráce
    Institutional support: RVO:67985891 ; RVO:67985831
    Keywords : giant landslides * seismic refraction tomography * seismic ambient noise * UAV * geological strength index
    OECD category: Physical geography; Environmental and geological engineering, geotechnics (GLU-S)
    Impact factor: 5, year: 2022
    Method of publishing: Open access
    https://doi.org/10.3390/rs15061627
    Permanent Link: https://hdl.handle.net/11104/0342600
    FileDownloadSizeCommentaryVersionAccess
    0571110 J Klimeš New.pdf27.7 MBPublisher’s postprintopen-access
     
     
  5. 5.
    0560801 - GLÚ 2023 US eng A - Abstract
    Takac, M. - Kavková, R. - Kletetschka, Günther - Petrucha, V.
    Magnetic Anomalies of Crater Fields Detected by Drone.
    50th Lunar and Planetary Science Conference. The Woodlands: Lunar and Planetary Institute, 2019, č. článku 3070. ISBN N.
    [Lunar and Planetary Science Conference /50./. 18.03.2019-22.03.2019, The Woodlands]
    Institutional support: RVO:67985831
    Keywords : UAV * autonomous * robotics * magnetometer * fluxgate * magnetic anomalies * demagnetization
    OECD category: Geology
    https://www.hou.usra.edu/meetings/lpsc2019/pdf/3070.pdf
    Permanent Link: https://hdl.handle.net/11104/0333599
     
     
  6. 6.
    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
     
     
  7. 7.
    0551116 - ÚEB 2022 RIV CH eng J - Journal Article
    Polák, Michal - Miřijovský, J. - Hernándiz, Alba E. - Špíšek, Z. - Koprna, R. - Humplík, Jan
    Innovative UAV LiDAR Generated Point-Cloud Processing Algorithm in Python for Unsupervised Detection and Analysis of Agricultural Field-Plots.
    Remote Sensing. Roč. 13, č. 16 (2021), č. článku 3169. E-ISSN 2072-4292
    R&D Projects: GA MŠMT(CZ) EF16_019/0000827
    Institutional support: RVO:61389030
    Keywords : LiDAR * Python * UAV
    OECD category: Biochemistry and molecular biology
    Impact factor: 5.349, year: 2021
    Method of publishing: Open access
    http://doi.org/10.3390/rs13163169
    Permanent Link: http://hdl.handle.net/11104/0326545
    FileDownloadSizeCommentaryVersionAccess
    2021_Polak_REMOTE SENSING_3169.pdf264.4 MBOtheropen-access
     
     
  8. 8.
    0541315 - BC 2021 RIV US eng C - Conference Paper (international conference)
    Novák, M. - Prokýšek, M. - Doležal, Petr - Hais, M. - Grill, S. - Davídková, Markéta - Geyer, J. - Hofmann, P. - Paudyal, R.
    Multisensor UAV system for the forest monitoring.
    Proceedings of the 10th International Conference “Advanced Computer Information Technologies” (ACIT'2020). New York: IEEE, 2020, (2020), s. 293-296. ISBN 978-1-7281-6760-2.
    [International Conference on Advanced Computer Information Technologies (ACIT) /10./. Deggendorf (DE), 16.09.2020-18.09.2020]
    Institutional support: RVO:60077344
    Keywords : UAV * forestry * sensor * remote sensing
    OECD category: Forestry
    https://ieeexplore.ieee.org/document/9208993
    Permanent Link: http://hdl.handle.net/11104/0318934
     
     
  9. 9.
    0540584 - ÚH 2022 RIV CH eng J - Journal Article
    Lendzioch, T. - Langhammer, J. - Vlček, Lukáš - Minařík, R.
    Mapping the groundwater level and soil moisture of a montane peat bog using UAV monitoring and machine learning.
    Remote Sensing. Roč. 13, č. 5 (2021), č. článku 907. E-ISSN 2072-4292
    Institutional support: RVO:67985874
    Keywords : peat bog * soil moisture * UAV * machine learning (ML) * random forest (RF) * modelling
    OECD category: Hydrology
    Impact factor: 5.349, year: 2021
    Method of publishing: Open access
    https://www.mdpi.com/2072-4292/13/5/907
    Permanent Link: http://hdl.handle.net/11104/0318887
     
     
  10. 10.
    0538832 - BC 2022 RIV DE eng M - Monography Chapter
    Novák, M. - Geyer, J. - Prokýšek, M. - Hais, M. - Grill, S. - Davídková, Markéta - Doležal, Petr - Hofmann, P. - Paudyal, R.
    Construction of a multisensor UAV system for early detection of forest pests.
    Advances in Intelligent Systems and Computing V. Cham: Springer, 2021 - (Shakhovska, N.; Medykovskyy, M.), s. 1164-1182. ISBN 978-3-030-63269-4
    Institutional support: RVO:60077344
    Keywords : UAV * sensor * forestry
    OECD category: Agronomy, plant breeding and plant protection
    https://link.springer.com/chapter/10.1007%2F978-3-030-63270-0_78
    Permanent Link: http://hdl.handle.net/11104/0327706
     
     

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