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Estimating pasture land cover in the New England region of Northern New South Wales

机译:估算新南威尔士州新英格兰地区的牧场陆地覆盖

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Land cover across the southern Australian temperate agricultural region comprises primarily of native pasture; introduced improved pastures and crops for livestock production and also perennial remnant vegetation. A feed-base pasture audit was carriedout throughout southern Australia commencing mid-year 2011 (Donald and Burge 2012; Donald et al. 2012). The purpose of the audit was to map and analyse information obtained about the pasture feed-base for livestock production by surveying Statistical Local Areas (SLAs) across the southern states. The purpose of this Feed-Base audit was to survey pastures within agricultural NSW, Victoria, Tasmania, South Australia and Southwestern Australia, collate these data into an organised database, and prepare ashort report and summarise by tabulating and mapping pasture species abundance and distribution. Data collected were based on "desk-top estimates" by state district agronomists and agricultural consultants. In this paper a method using satellite imageryis described on how more objective assessments of pasture types can be provided as a means to discriminate between the SLA's major pasture classes far more objectively than by visual assessment. Satellite remote sensing may be used to define landcover classes for large regional areas. A number of procedures have been developed to discriminate between pastures, crop and woody vegetation (for example Hill etal. 1997, Emelyanova etal. 2008). In the Hill study (Hill et al. 1997) NOAA AVHRR NDVI provided spatial land cover maps of pasture cover at 1 km resolution. The classifications results in that study showed that satellite information may be used to help in the interpretation of pasture survey results, and in turn, the survey data can provide some validation data for the pasture types ascribed to the remotely sensed classes.
机译:澳大利亚南部的陆地覆盖物农业区域主要包括母牧场;引入了牲畜生产的改善牧场和作物,以及多年生残留的植被。在澳大利亚南部举行的南澳大利亚州开始了饲料基地牧场审计(Donald and Burge 2012; Donald等,2012)。审计的目的是通过调查南方各国的统计局地区(SLA)来映射和分析关于畜牧业的牧场饲料基础的信息。该饲料基础审计的目的是在农业NSW,维多利亚,塔斯马尼亚,南澳大利亚和澳大利亚的牧场调查牧场,将这些数据融入有组织的数据库,并准备Ashort报告并通过制表和绘制牧草种类丰富和分布来总结。收集的数据基于州区农艺学家和农业顾问的“桌面估计”。在本文中,可以提供使用卫星图像的方法,以如何提供牧场类型的更多客观评估,以作为比视觉评估更客观地歧视SLA的主要牧场课程。卫星遥感可用于定义大型区域区域的覆代土地层。已经制定了许多程序来区分牧场,作物和木质植被(例如山居住。1997,Emelyanova etal。2008)。在Hill Studion(Hill等人1997)NOAA AVHRR NDVI提供的空间覆盖牧场覆盖物覆盖物,分辨率为1公里。该研究的分类结果表明,卫星信息可用于帮助牧场调查结果的解释,然后,调查数据可以为归因于远程感测的类的牧场类型提供一些验证数据。

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