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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >MONITORING SPATIAL BEHAVIOR OF PASTORALIST SHEEP THROUGH GPS, LIDAR DATA AND VNIR IMAGE
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MONITORING SPATIAL BEHAVIOR OF PASTORALIST SHEEP THROUGH GPS, LIDAR DATA AND VNIR IMAGE

机译:通过GPS,LIDAR数据和VNIR图像监测牧民绵羊的空间行为

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Global Navigation Satellite Systems (GNSS), such as the Global Position System (GPS), are currently used to replace the traditional pastoralism and to remotely control the movements and location of the herds. Besides, the use of this remote monitoring can benefit the understanding of grazing resource use and livestock management. In this work we investigated the herd behaviour in a Spanish organic farm of free pastoralist sheep with a joint use of different geodata sources. The area of study comprised approximately 900 hectares with a variety of land covers dedicated to pasture.A herd of 300 head was monitored during 2009 and 2010. GPS data were acquired every 5 minutes. In addition, a comprehensive map of land uses/land covers (LU/LC) was retrieved through a supervised classification of a mosaic of orthophotographs (visible and near infrared bands, VNIR). Then, the digital elevation model (DEM) and the digital surface model (DSM) were obtained from a 2010 LiDAR (light detection and ranging) campaign, which allowed the retrieval of terrain attributes and vegetation parameters. The positioning and behaviour of the GPS-tracked sheep were analysed in terms of the retrieved topographic characteristics and land uses. The study of the most influential variables indicated that the slope and aspect were the topographic attributes that most exerted impact on the grazing activity, being the north direction the most preferable, as well as a gentle slope. Regarding the LU/LC, grassland areas were selected by the sheep, specifically in areas of short vegetation (i.e., outside shrublands and trees beyond 0.5 m high).
机译:全球导航卫星系统(GNSS),如全球位置系统(GPS),目前用于取代传统的牧区,远程控制牛群的运动和位置。此外,这种远程监控的使用可以使对放牧资源使用和牲畜管理的理解受益。在这项工作中,我们调查了西班牙有机农场的牧群行为,并与不同地理数据来源联合使用不同的牧民绵羊。该研究领域占致力于牧场的各种陆地覆盖面积。在2009年和2010年期间监测了300头头的牧群。每5分钟收购GPS数据。此外,通过监督的原始摄影光谱仪的马赛克(可见和近红外带,VNIR)进行检索到综合土地使用/陆地覆盖物(LU / LC)地图。然后,从2010年LIDAR(光检测和测距)广告系列获得数字高度模型(DEM)和数字表面模型(DSM),这允许检索地形属性和植被参数。在检索到的地形特征和土地用途方面分析了GPS跟踪绵羊的定位和行为。对最有影响力的变量的研究表明,坡度和方面是最施加对放牧活动影响的地形属性,是最优选的北方方向,以及轻柔的斜坡。关于LU / LC,草地区域被绵羊选择,特别是在短期植被区域(即,灌木丛和超过0.5米的树木)。

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