基于放牧时空轨迹数据的牧群采食量分布模型

发布时间：2018-11-03 13:48

【摘要】：为了快速大范围地掌握牧群采食量分布信息,提出一种牧群采食量分布模型。根据放牧过程的时空连续性,借助放牧轨迹采用缓冲区与网格分析方法获得放牧分布,结合模拟采食法,通过轨迹点间的时间间隔计算采食时间,并将其累加得到日采食时间,进而依据采食时间与日采食时间比例将牧群日采食总量分配给每个局部放牧分布,并采用网格叠加方法得到给定时空范围的采食量分布。以2015年为实例,对研究区采食量分布进行监测:模型结果与实际放牧情况一致性较好,准确度可达86.2%以上。结果表明该模型可快速大范围地提取牧群采食量分布信息,并能为相关部门对牧群采食量分布信息的监测提供计算依据和方法。
[Abstract]:In order to quickly and extensively grasp the distribution information of feed intake of herd, a model of distribution of feed intake of herd is proposed. According to the temporal and spatial continuity of grazing process, the grazing distribution was obtained by using the method of buffer and grid analysis, and the feeding time was calculated by the time interval between track points, and the daily feeding time was accumulated. Then according to the ratio of the feeding time to the daily feeding time, the total daily feed intake of the herd is allocated to each local grazing distribution, and the distribution of the feed intake in a given space-time range is obtained by using the grid superposition method. Taking 2015 as an example, the distribution of feed intake in the study area was monitored. The results of the model were in good agreement with the actual grazing, and the accuracy was over 86.2%. The results show that the model can quickly and extensively extract the distribution information of feed intake and provide the basis and method for the relevant departments to monitor the distribution information of feed intake.
【作者单位】：石河子大学信息科学与技术学院;兵团空间信息工程技术研究中心;兵团空间信息工程实验室;石河子大学动物科技学院;
【基金】：国家自然科学基金(41461088;31560659)
【分类号】：S812.8

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