首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Use of lidar to study changes associated with Spartina invasion in San Francisco Bay marshes
【24h】

Use of lidar to study changes associated with Spartina invasion in San Francisco Bay marshes

机译:利用激光雷达研究与旧金山湾沼泽地中的斯巴蒂娜入侵有关的变化

获取原文
获取原文并翻译 | 示例
           

摘要

Extensive alteration of the tidal salt marshes of San Francisco Bay has created an urgent need to preserve the few remaining areas of relatively pristine tidal marshes. The dynamics of these marshes can be quantified and mapped using the high vertical and horizontal point density of airborne laser scanners (lidar) if their data quality is adequate. We evaluated lidar's ability to characterize wetland topography and vegetation structure, with emphasis on measuring short-term changes associated with the invasive Spartina. Measurable errors between flight lines and between laser returns were observed. By comparing lidar datasets with ground measurements we found that lidar did not reach the ground underneath vegetation. Nonetheless, change detection using digital surface models showed that Spartina markedly affected the accretion - erosion patterns of the shoreline and the water drainage patterns on the mudflat. With some exceptions, Spartina patches showed evident expansion patterns with rates of up to 2.5 m/year. Our study indicates that lidar has a great potential to discriminate Spartina species and marsh components, and to quantify sediment dynamics associated with the Spartina invasion, and changes in Spartina structure and biomass. (C) 2005 Elsevier Inc. All rights reserved.
机译:旧金山湾的潮汐盐沼的大规模改建迫切需要保存一些相对原始的潮汐沼泽的剩余区域。如果机载激光扫描仪(激光雷达)的数据质量足够高,则可以使用较高的垂直和水平点密度来量化和映射这些沼泽的动态。我们评估了激光雷达表征湿地地形和植被结构的能力,重点是测量与侵入性斯巴特那虫相关的短期变化。观察到了飞行路线之间和激光返回之间的可测量误差。通过将激光雷达数据集与地面测量结果进行比较,我们发现激光雷达没有到达植被下方的地面。但是,使用数字表面模型进行的变化检测表明,Spartina显着影响了积聚-海岸线的侵蚀模式和滩涂上的排水模式。除某些例外,Spartina斑块显示出明显的扩张模式,年增长率高达2.5 m。我们的研究表明,激光雷达具有很大的潜力来区分斯巴蒂纳物种和沼泽成分,并量化与斯巴蒂纳入侵,斯巴蒂纳结构和生物量变化相关的沉积物动力学。 (C)2005 Elsevier Inc.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号