首页> 外文期刊>Surveying and land information science >Emerging Unmanned Aerial Remote Sensing System for Intertidal Zone Modeling: A Low-Cost Method of Collecting Remote Sensing Data for Modeling Short-Term Effects of Sea Level Rise, Part I: Raising Awareness
【24h】

Emerging Unmanned Aerial Remote Sensing System for Intertidal Zone Modeling: A Low-Cost Method of Collecting Remote Sensing Data for Modeling Short-Term Effects of Sea Level Rise, Part I: Raising Awareness

机译:新兴的潮间带建模空中无人机遥感系统:一种低成本的遥感数据收集方法,用于对海平面上升的短期影响进行建模,第一部分:提高认识

获取原文
获取原文并翻译 | 示例
       

摘要

One of the greatest challenges coastal regions of the world face is the threat of the rising sea. Current geospatial models of coastal areas at risk of inundation by sea level rise typically depict a 50-year timescale as data accurate enough to support shorter term predictions are lacking. We hypothesize that a geodetic-grade digital elevation model (DEM) of the intertidal zone overlaid onto a high precision model of the mean high water (MHW) tidal datum will allow for mapping the mean high-water line (MHWL) at an accuracy of less than 40 mm. This level of accuracy will allow the effects of sea level rise on property boundaries and infrastructure to be determined on a 20-year timescale. The focus of this paper is on the need for geodetic-grade elevation data and densely spaced tide level measurements for intertidal zone modeling. This level of detail is needed when mapping the MHWL; we demonstrate that existing data are insufficient to provide such detail. We demonstrate the potential for acquisition of elevation data necessary to produce such intertidal zone DEM with a remote sensing system carried by an unmanned aerial vehicle (UAV).
机译:世界沿海地区面临的最大挑战之一是海平面上升的威胁。由于缺乏足够准确的数据来支持短期预测,当前沿海地区因海平面上升而面临淹没风险的地理空间模型通常描绘了50年的时间尺度。我们假设潮间带的大地测量级数字高程模型(DEM)覆盖在平均高水位(MHW)潮汐基准的高精度模型上,可以绘制平均高水位线(MHWL)的精度为小于40毫米。这种准确性水平将使海平面上升对财产边界和基础设施的影响可以在20年的时间内确定。本文的重点是对潮间带建模所需的大地测量高程数据和密集的潮汐水位测量。映射MHWL时需要这种详细程度;我们证明现有数据不足以提供此类详细信息。我们展示了利用无人飞行器(UAV)携带的遥感系统来产生潮间带DEM所必需的高程数据获取潜力。

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