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  • Open Access

    ARTICLE

    Forest Above Ground Biomass Estimation from Remotely Sensed Imagery in the Mount Tai Area Using the RBF ANN Algorithm

    Liang Wanga,b, Jiping Liua,b, Shenghua Xub, Jinjin Dongc, Yi Yangd

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 391-398, 2018, DOI:10.1080/10798587.2017.1296660

    Abstract Forest biomass is a significant indicator for substance accumulation and forest succession, and can provide valuable information for forest management and scientific planning. Accurate estimations of forest biomass at a fine resolution are important for a better understanding of the forest productivity and carbon cycling dynamics. In this study, considering the low efficiency and accuracy of the existing biomass estimation models for remote sensing data, Landsat 8 OLI imagery and field data cooperated with the radial basis function artificial neural network (RBF ANN) approach is used to estimate the forest Above Ground Biomass (AGB) in More >

  • Open Access

    ARTICLE

    The influence of soil compaction and conservation tillage on sunflower’s (Helianthus annuus L.) below ground system

    Mirleau-Thebaud V1,2, J Dayde1, JD Scheiner1,3,4

    Phyton-International Journal of Experimental Botany, Vol.86, pp. 53-67, 2017, DOI:10.32604/phyton.2017.86.053

    Abstract Soil compaction represents an important issue in the actual context of agricultural system sustainability. Research on the various developments of root systems under tillage has been explored for many crops, whether for the biomass area or the underground, but very little concerns Sunflower (Helianthus annuus L.). The objectives of the study were to understand the impact of soil tillage and of the induced mechanically compacted soil on: i) sunflower’s root system architecture, ii) biomass area iii) production. Two complementary experiments were realized in the south of France (France’s main sunflower production area). In both experiments, increased More >

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