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    Wyświetlanie 1-3 z 3
    Tytuł:
    Effect of water regimes on sorptivity and organic matter humic components of soil
    Autorzy:
    Raut, S.
    Sahoo, N.
    Chakraborty, H.
    Powiązania:
    https://bibliotekanauki.pl/articles/26353.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Tematy:
    water regime
    sorptivity
    organic matter
    humic acid
    soil
    fulvic acid
    infiltration
    soil property
    physicochemical property
    Opis:
    The aim of the study was to find the effect of water regimes on soil sorptivity and humic components of organic matter. Physicochemical parameters were also determined. Steady state cumulative infiltration was the highest (60-100 mm) in non-irrigated upland soil and the lowest (8-10 mm) in waterlogged soil. The highest sorptivity of 4.0-4.5mmmin-1/2 was found in nonirrigated upland soil and the lowest in seasonally waterlogged soil (1.0-1.5 mm min-1/2). Organic carbon content of all soils was low (<1%), EC values were also low (< 4 dS m-1). Saturated moisture was high in waterlogged soil. The non-irrigated upland soils had a higher fraction of fulvic acid (0.15-0.2%), due to which they were more capable of infiltration, whereas waterlogged soils had a greater fraction of insoluble humic acid (0.29-0.35%) and exhibited less cumulative infiltration. Sorptivity decreased as the clay content, pH, EC, porosity and humic acid content of the soil increased.
    Źródło:
    International Agrophysics; 2012, 26, 1
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative evaluation of inversion approaches of the radiative transfer model for estimation of crop biophysical parameters
    Autorzy:
    Mridha, N.
    Sahoo, R.N.
    Sehgal, V.K.
    Krishna, G.
    Pargal, S.
    Pradhan, S.
    Gupta, V.K.
    Nagesh Kumar, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/25984.pdf
    Data publikacji:
    2015
    Wydawca:
    Polska Akademia Nauk. Instytut Agrofizyki PAN
    Opis:
    The inversion of canopy reflectance models is widely used for the retrieval of vegetation properties from remote sensing. This study evaluates the retrieval of soybean biophysical variables of leaf area index, leaf chlorophyll content, canopy chlorophyll content, and equivalent leaf water thickness from proximal reflectance data integrated broad bands corresponding to moderate resolution imaging spectroradiometer, thematic mapper, and linear imaging self scanning sensors through inversion of the canopy radiative transfer model, PROSAIL. Three different inversion approaches namely the look-up table, genetic algorithm, and artificial neural network were used and performances were evaluated. Application of the genetic algorithm for crop parameter retrieval is a new attempt among the variety of optimization problems in remote sensing which have been successfully demonstrated in the present study. Its performance was as good as that of the look-up table approach and the artificial neural network was a poor performer. The general order of estimation accuracy for para-meters irrespective of inversion approaches was leaf area index > canopy chlorophyll content > leaf chlorophyll content > equivalentleaf water thickness. Performance of inversion was comparable for broadband reflectances of all three sensors in the optical region with insignificant differences in estimation accuracy among them.
    Źródło:
    International Agrophysics; 2015, 29, 2
    0236-8722
    Pojawia się w:
    International Agrophysics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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