首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Estimation of pasture growth rate in the south west of Western Australia from AVHRR NDVI and climate data
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Estimation of pasture growth rate in the south west of Western Australia from AVHRR NDVI and climate data

机译:根据AVHRR NDVI和气候数据估算西澳大利亚州西南部牧场的生长速度

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Regular estimates of regional pasture growth rate (PGR) would prove invaluable for wool producers in the agricultural zone of Western Australia (WA) wishing to adopt efficient techniques of managing the supply of annual pasture. Data from the AVHRR sensor are routinely processed to provide bi-monthly NDVI (normalised difference vegetation index) composite images of the agricultural zone of WA. We used a time series of NDVI imagery for 1995 to 1998 together with coincident climate layers in a light use efficiency (LUE) model to generate PGR maps for WA. We only operated the model for areas of the agricultural zone where pasture constituted more than 60% of the land cover. The regional estimates were compared with whole-farm averages made at three farms using pasture exclosures positioned across the main land management units (LMUs) on each property. Significant relationships were obtained between predicted and observed PGR for the three farms Kojonup, Porongurup and Williams of R{sup}2 0.67, 0,75 and 0.70, respectively. A validation study in 1999 at five farms used a potential productivity index for LMUs to scale the regional estimates down to paddock level. The relationship between predicted and observed PGR, for data averaged by LMU, had an R{sup}2 of 0.69, Given that little information on regional PGR currently exists, estimates generated by such LUE models from in-line AVHRR processing made available on the internet or by subscription can greatly improve the basis for feed management across wool growing enterprises in the south west of WA. This approach could readily be applied to other highly seasonal grazing systems around the world.
机译:对于希望采用有效技术管理年度牧场供应的西澳大利亚州(WA)农业区的羊毛生产商来说,定期估算地区牧场增长率(PGR)将是无价的。例行处理来自AVHRR传感器的数据,以提供WA农业区的每两个月一次的NDVI(归一化植被指数)复合图像。我们将1995年至1998年的NDVI影像时间序列与一致的气候层一起用于光利用效率(LUE)模型中,以生成西澳大利亚州的PGR地图。我们仅针对牧场占土地覆盖率60%以上的农业区区域使用该模型。使用位于每个物业主要土地管理单位(LMU)上的牧场牧场,将区域估算值与三个农场的全农场平均水平进行比较。在三个农场Kajonup,Porongurup和Williams的R {sup} 2分别为0.67、0.75和0.70的PGR的预测值和观测值之间具有显着的关系。 1999年在五个农场进行的一项验证研究使用了LMU的潜在生产率指数来将区域估计值缩小到围场水平。对于LMU平均数据,预测和观测到的PGR之间的关系的R {sup} 2为0.69,鉴于目前尚无有关区域PGR的信息,此类LUE模型从在线AVHRR处理生成的估计值可用于互联网或订阅可以极大地改善西澳州西南部羊毛种植企业的饲料管理基础。这种方法可以很容易地应用于世界其他高度季节性的放牧系统。

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