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A High-Resolution Grassland Aboveground Biomass Estimation Method Based on SfM and Grassland Height Factor

文献类型： 会议论文

第一作者： Mengdi Cao

作者： Mengdi Cao 1 ; Shanshan Cao 1 ; Wei Sun 2 ; Fantao Kong 3 ;

作者机构： 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

2.Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China|College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, China

3.Institute of Special Animal and Plant Sciences, Chinese Academy of Agricultural Sciences, Changchun, China

关键词： Grasslands;Costs;Biological system modeling;Estimation;Autonomous aerial vehicles;Data models;Biomass

会议名称： IEEE International Conference on Electrical, Automation and Computer Engineering

主办单位：

页码： 1224-1227

摘要： In this paper, a high-resolution grassland aboveground biomass estimation method was constructed based on the UAV SfM (Structure from Motion) technique and the grass layer height factor. Various vegetation index data of grassland were extracted from the images acquired by multispectral camera, grass layer height data were extracted by SfM technique, and these explanatory variables were combined with Random Forest, and Support Vector Regression Machine Learning methods to construct a high-resolution aboveground biomass estimation model of rangeland grassland, respectively. The method introduces the grass layer height factor into the estimation model to improve the estimation accuracy, and the UAV SfM method can realize the rapid and accurate estimation of the aboveground biomass of the grassland in the pasture area, and obtain the high-resolution aboveground biomass of the grassland at a relatively low cost, and provide decision support for the herdsmen to drive the herds during the rotational area grazing.

分类号： tp3-53

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