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Unmanned aircraft in nature conservation: an example from plant invasions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F17%3A10359893" target="_blank" >RIV/00216208:11310/17:10359893 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216305:26210/17:PU122115

  • Result on the web

    <a href="http://dx.doi.org/10.1080/01431161.2016.1275059" target="_blank" >http://dx.doi.org/10.1080/01431161.2016.1275059</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/01431161.2016.1275059" target="_blank" >10.1080/01431161.2016.1275059</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Unmanned aircraft in nature conservation: an example from plant invasions

  • Original language description

    To successfully fight plant invasions, new methods enabling fast and efficient monitoring are needed, and remote sensing can make their management more efficient and less expensive. Optimal solution depends on the species characteristics, where the spectral and spatial resolution can compensate each other to some extent, and phenology plays an important role. Available high spatial resolution satellite data are sufficient for recognition of species that are distinct and either large or form uniform patches at size comparable to the data pixel size. For other species, higher spatial resolution is needed, and unmanned aircraft (UAV) provide data of extremely high spatial resolution (cm) at low cost and high flexibility. We assess its potential to map invasive black locust (BL, Robinia pseudoaccacia), testing imagery of different origin (satellite, UAV), spectral (multispectral, red, green, and blue (RGB) + near-infrared (NIR)) and spatial resolution, and various technical approaches to choose the best strategy for the species monitoring balancing between precision of detection and economic feasibility. Using purposely designed low-cost UAV with tailless fixed wing design for two consumer cameras (RGB and modified NIR) ensures robustness and repeatable field performance while maintaining high aerodynamic efficiency, with resulting mapping capacity over 10 km(2) per day. For repeated measurements, it is extremely important to ensure spatial co-registration of pixels/objects from different phenological phases. Investment in GPS receiver in the UAV and GPS post-processing eliminated laborious collection of ground control points, while maintaining the co-registration of objects across multiple flights. In our study we provide evidence of benefit of the low cost unmanned system for species monitoring with high classification accuracies of target species from UAV orthomosaic outcompeting WorldView-2 satellite data.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10511 - Environmental sciences (social aspects to be 5.7)

Result continuities

  • Project

    <a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal for Remote Sensing

  • ISSN

    0143-1161

  • e-ISSN

  • Volume of the periodical

    38

  • Issue of the periodical within the volume

    8-10

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    22

  • Pages from-to

    2177-2198

  • UT code for WoS article

    000397995100011

  • EID of the result in the Scopus database

    2-s2.0-85010665873