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Acta Ecologica Sinica. 2018, (18) Core

Vegetation type classification and fractional vegetation coverage estimation for an open elm（ Ulmus pumila） woodland ecosystem during a growing season based on an unmanned aerial vehicle platform coupled with decision tree algorithmsChinese Full Text

HAN Dong;WANG Haozhou;ZHENG Bangyou;WANG Feng;Institute of Desertification Studies Chinese Academy of Forestry;The Faculty of Forestry ＆ Environmental Management,University of New Brunswick;CSIRO Agriculture and Food,Queensland Biosciences Precinct 306 Carmody Road;

Abstract: Fractional vegetation coverage（ FVC） is an important indicator to assess ecological environments and vegetationgrowing. It is also an important parameter in many land surface and ecological models. It is generally estimated by satellitebased remote sensing and ground investigation. However,it is challenging to precisely estimate the FVC of woody and herbaceous plants in elm sparse forest grasslands. Unmanned aerial systems（ UAS） provide a solution for effectively bridging the gap between satelli... More
Keywords：

Otindag sandyland; unmanned aircraft vehicle platform; machine learning; digital orthophoto map; pattern recognition;

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (D) Agriculture

  • Subject：

    Biology

  • Classification Code：

    Q948

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