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Remote sensing for assessing the zone of benefit where deep drains improve productivity of land affected by shallow saline groundwater

机译:遥感以评估深水渠可提高受浅盐水地下水影响的土地的生产力的有利区域

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摘要

The installation of deep drains is an engineering approach to remediate land salinised by the influence of shallow groundwater. It is a costly treatment and its economic viability is, in part, dependent on the lateral extent to which the drain increases biological productivity by lowering water tables and soil salinity (referred to as the drains' zone of benefit). Such zones may be determined by assessing the biological productivity response of adjacent vegetation over time. We tested a multi-temporal satellite remote sensing method to analyse temporal and spatial changes in vegetation condition surrounding deep drainage sites at five locations in the Western Australian wheatbelt affected by dryland salinity-Morawa, Pithara, Beacon, Narembeen and Dumbleyung. Vegetation condition as a surrogate for biological productivity was assessed by Normalised Difference Vegetation Index (NDVI) during the peak growing season. Analysis was at the site scale within a 1000 m buffer zone from the drains. There was clear evidence of NDVI increasing with elevation, slope and distance from the drain. After accounting for elevation, slope and distance from the drain, there was a significant increase in NDVI across the five locations after installation of deep drains. Changes in NDVI after drainage were broadly consistent with measured changes at each site in groundwater levels after installation of the deep drains. However, this study assessed the lateral extent of benefit for biological productivity and gave a measure of the area of benefit along the entire length of the drain. The method demonstrated the utility of spring NDVI images for rapid and relatively simple assessment of the change in site condition after implementation of drainage, but approaches for further improvement of the procedure were identified.
机译:深排水装置的安装是补救因浅层地下水影响而盐化土地的工程方法。这是一种昂贵的处理方法,其经济可行性在一定程度上取决于排水管通过降低地下水位和土壤盐分来提高生物生产力的横向范围(称为排水管的有利区)。可以通过评估相邻植被随时间的生物生产力响应来确定此类区域。我们测试了一种多时相卫星遥感方法,以分析受干旱地区盐度影响的西澳大利亚州小麦带中五个流域的深部排水点周围植被状况的时空变化-莫拉瓦(Morawa),皮塔拉(Pithara),信标(Beacon),纳林宾(Narembeen)和邓布利翁(Dumbleyung)。在高峰生长期,通过归一化植被指数(NDVI)评估了作为生物生产力替代指标的植被状况。分析是在距排水口1000 m缓冲区内的现场规模进行的。有明确的证据表明,NDVI随着海拔,坡度和与排水渠的距离的增加而增加。在考虑了高度,坡度和与排水沟的距离之后,在安装了深排水沟后的五个位置,NDVI显着增加。排水后NDVI的变化与深排水装置安装后在地下水位每个站点的测量变化大致一致。然而,这项研究评估了对生物生产力的横向受益程度,并给出了沿排水管整个长度的受益面积的度量。该方法证明了春季NDVI图像可用于快速,相对简单地评估排水实施后场地条件的变化,但已确定了进一步改善程序的方法。

著录项

  • 来源
    《Journal of Environmental Management》 |2015年第1期|138-148|共11页
  • 作者单位

    School of Veterinary and Life Science, Murdoch University, 90 South St, Murdoch WA 6150, Australia;

    School of Veterinary and Life Science, Murdoch University, 90 South St, Murdoch WA 6150, Australia;

    School of Veterinary and Life Science, Murdoch University, 90 South St, Murdoch WA 6150, Australia;

    School of Engineering and Information Technology, Mathematics and Statistics, Murdoch University, 90 South St, Murdoch WA 6150, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Agricultural productivity; Deep drainage; Dryland salinity; Monitoring; Remote sensing; Vegetation indices;

    机译:农业生产力;深层排水;旱地盐度;监控;遥感;植被指数;

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