A method for estimating the aboveground biomass of rice based on multi-spectral images of an unmanned aerial vehicle (UAV), including: normatively collecting UAV multi-spectral image data of rice canopy and ground measured biomass data; after collection, preprocessing images, extracting reflectivity and texture feature parameters, calculating a vegetation index, and constructing a new texture index; and by stepwise multiple regression analysis, integrating the vegetation index and the texture index to estimate rice biomass, and establishing a multivariate linear model for estimating biomass. A new estimation model is verified for accuracy by a cross-validation method. The method has high estimation accuracy and less requirements on input data, and is suitable for the whole growth period of rice. Estimating rice biomass by integrating UAV spectrum and texture information is proposed for the first time, and can be widely used for monitoring crop growth by UAV remote sensing.


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    Titel :

    METHOD FOR ESTIMATING ABOVEGROUND BIOMASS OF RICE BASED ON MULTI-SPECTRAL IMAGES OF UNMANNED AERIAL VEHICLE


    Beteiligte:
    ZHU YAN (Autor:in) / ZHENG HENGBIAO (Autor:in) / CHENG TAO (Autor:in) / YAO XIA (Autor:in) / TIAN YONGCHAO (Autor:in) / CAO WEIXING (Autor:in)

    Erscheinungsdatum :

    07.05.2020


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G01N Untersuchen oder Analysieren von Stoffen durch Bestimmen ihrer chemischen oder physikalischen Eigenschaften , INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES / A01G Gartenbau , HORTICULTURE / B64C AEROPLANES , Flugzeuge / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G06V



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